============================= test session starts ============================== platform linux -- Python 3.9.21, pytest-6.2.5, py-1.11.0, pluggy-0.13.1 rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st/msrun, configfile: ../../../../../../sault/virtual_test/virtualenv_002/sault/config/pytest.ini plugins: forked-1.6.0, hydra-core-1.3.2, xdist-1.32.0, anyio-4.9.0 collected 1 item test_entry_msrun.py [INFO] ME(1384256,ffffab14eec0,python):2025-07-15-11:44:59.797.843 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ascend plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ascend.so.2 success. [INFO] ME(1384256,ffffab14eec0,python):2025-07-15-11:44:59.798.365 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ops_ascend plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ops_ascend.so success. [INFO] ME(1384256,ffffab14eec0,python):2025-07-15-11:44:59.852.735 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ops_host plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ops_host.so success. [INFO] CORE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.853.010 [mindspore/core/utils/ms_context.cc:165] set_backend_policy] ms set context backend policy:ge [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.853.891 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_base_symbol.cc:63] LoadAclBaseApiSymbol] Load acl base api success! [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.856.405 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_compiler_symbol.cc:39] LoadAclOpCompilerApiSymbol] Load acl op compiler api success! [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.856.635 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_mdl_symbol.cc:130] LoadAclMdlApiSymbol] Load acl mdl api success! [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.856.703 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_op_symbol.cc:55] LoadAclOpApiSymbol] Load ascend op api success! [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.856.855 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_prof_symbol.cc:51] LoadProfApiSymbol] Load acl prof api success! [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.856.905 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_rt_allocator_symbol.cc:48] LoadAclAllocatorApiSymbol] Load acl allocator api success! [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.856.981 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_rt_symbol.cc:159] LoadAclRtApiSymbol] Load acl rt api success! [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.857.025 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_symbol.cc:34] LoadAclApiSymbol] Load acl base api success! [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.859.420 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_tdt_symbol.cc:82] LoadAcltdtApiSymbol] Load acl tdt api success! [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.859.515 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:79] LoadAscendApiSymbols] Load ascend api success! [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.868.880 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:44:59.913.410 [mindspore/ccsrc/pybind_api/utils/log_adapter_py.cc:27] PyExceptionInitializer] Set exception handler [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:44:59.969.825 [mindspore/ccsrc/pybind_api/init.cc:260] pybind11_init__c_expression] Start GraphExecutorPy... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:44:59.970.668 [mindspore/ccsrc/pybind_api/init.cc:326] pybind11_init__c_expression] Start JitExecutorPy... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:44:59.971.439 [mindspore/ccsrc/pybind_api/init.cc:391] pybind11_init__c_expression] Start ParallelContext... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:44:59.972.781 [mindspore/ccsrc/pybind_api/init.cc:525] pybind11_init__c_expression] Start CostModelContext... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:44:59.973.623 [mindspore/ccsrc/pybind_api/init.cc:627] pybind11_init__c_expression] Start OffloadContext... [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.976.871 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:44:59.977.010 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) [INFO] CORE(1384256,ffffab14eec0,python):2025-07-15-11:45:02.947.926 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] PARALLEL(1384256,ffffab14eec0,python):2025-07-15-11:45:02.948.101 [mindspore/ccsrc/frontend/parallel/costmodel_context.cc:30] GetInstance] Create costmodel_context [INFO] CORE(1384256,ffffab14eec0,python):2025-07-15-11:45:02.948.161 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:45:03.061.816 [mindspore/ccsrc/runtime/pynative/lazy_fusion.cc:27] Init] Start init lazy fusion. [INFO] KERNEL(1384256,ffffab14eec0,python):2025-07-15-11:45:03.062.066 [mindspore/ccsrc/plugin/device/ascend/kernel/dvm/lazy_fusion_flags.cc:174] LazyFusionFlags] lazy_fusion_flags :{"disable_ops":[],"dump_as_text":false,"enable_ops_only":[],"flush_threshold":100,"online_tuning":false,"opt_level":0,"synchronize":false} [INFO] KERNEL(1384256,ffffab14eec0,python):2025-07-15-11:45:03.062.111 [mindspore/ccsrc/plugin/device/ascend/kernel/dvm/lazy_fusion_op.cc:1802] LazyFusionAscendInit] Skip init lazy fusion. [INFO] DEVICE(1384256,ffffab14eec0,python):2025-07-15-11:45:03.062.142 [mindspore/ccsrc/runtime/pynative/lazy_fusion.cc:31] Init] End init lazy fusion. [INFO] ME(1384256:281473552019136,MainProcess):2025-07-15-11:45:05.297.038 [mindspore/profiler/common/registry.py:36] registered module: CpuProfiler with name: CPU [INFO] ME(1384256:281473552019136,MainProcess):2025-07-15-11:45:05.297.880 [mindspore/profiler/common/registry.py:36] registered module: GpuProfiler with name: GPU [INFO] ME(1384256:281473552019136,MainProcess):2025-07-15-11:45:05.308.269 [mindspore/profiler/common/registry.py:36] registered module: NpuProfiler with name: Ascend [INFO] ME(1384256:281473552019136,MainProcess):2025-07-15-11:45:05.532.923 [mindspore/parallel/cluster/process_entity/_utils.py:109] IP address found on this node. Address info:{'family': 'inet', 'local': '127.0.0.1', 'prefixlen': 8, 'scope': 'host', 'label': 'lo', 'valid_life_time': 4294967295, 'preferred_life_time': 4294967295}. Found address:127.0.0.1 [WARNING] ME(1384256:281473552019136,MainProcess):2025-07-15-11:45:05.540.005 [mindspore/parallel/cluster/process_entity/_api.py:250] msrun launching distributed job with user configured rank table file path:rank_table_4p.json Start worker process with rank id:0, log file:./rank_table_reassignment/worker_0.log. Environment variable [RANK_ID=0] is exported. Start worker process with rank id:1, log file:./rank_table_reassignment/worker_1.log. Environment variable [RANK_ID=1] is exported. Start worker process with rank id:2, log file:./rank_table_reassignment/worker_2.log. Environment variable [RANK_ID=2] is exported. Start worker process with rank id:3, log file:./rank_table_reassignment/worker_3.log. Environment variable [RANK_ID=3] is exported. [WARNING] ME(1384256:281473552019136,MainProcess):2025-07-15-11:45:06.985.39 [mindspore/parallel/cluster/process_entity/_api.py:267] Distributed job is spawned. Waiting all processes to exit... [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:06.219.444 [mindspore/core/utils/ms_context.cc:105] SetDeviceId] Set MS_CTX_DEVICE_ID by env DEVICE_ID to: 0 [INFO] CORE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:06.244.160 [mindspore/core/utils/ms_context.cc:105] SetDeviceId] Set MS_CTX_DEVICE_ID by env DEVICE_ID to: 1 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:06.463.993 [mindspore/core/utils/ms_context.cc:105] SetDeviceId] Set MS_CTX_DEVICE_ID by env DEVICE_ID to: 2 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:06.574.123 [mindspore/core/utils/ms_context.cc:105] SetDeviceId] Set MS_CTX_DEVICE_ID by env DEVICE_ID to: 3 [INFO] ME(1384450,ffffbdcbeec0,python):2025-07-15-11:45:06.942.022 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ascend plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ascend.so.2 success. [INFO] ME(1384450,ffffbdcbeec0,python):2025-07-15-11:45:06.942.643 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ops_ascend plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ops_ascend.so success. [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:06.951.237 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ascend plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ascend.so.2 success. [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:06.951.766 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ops_ascend plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ops_ascend.so success. [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:06.998.142 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ops_host plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ops_host.so success. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:06.998.448 [mindspore/core/utils/ms_context.cc:105] SetDeviceId] Set MS_CTX_DEVICE_ID by env DEVICE_ID to: 0 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:06.998.529 [mindspore/core/utils/ms_context.cc:165] set_backend_policy] ms set context backend policy:ge [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:06.999.556 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_base_symbol.cc:63] LoadAclBaseApiSymbol] Load acl base api success! [INFO] ME(1384450,ffffbdcbeec0,python):2025-07-15-11:45:06.999.857 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ops_host plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ops_host.so success. [INFO] CORE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.000.160 [mindspore/core/utils/ms_context.cc:105] SetDeviceId] Set MS_CTX_DEVICE_ID by env DEVICE_ID to: 1 [INFO] CORE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.000.237 [mindspore/core/utils/ms_context.cc:165] set_backend_policy] ms set context backend policy:ge [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.001.227 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_base_symbol.cc:63] LoadAclBaseApiSymbol] Load acl base api success! [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.002.327 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_compiler_symbol.cc:39] LoadAclOpCompilerApiSymbol] Load acl op compiler api success! [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.002.617 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_mdl_symbol.cc:130] LoadAclMdlApiSymbol] Load acl mdl api success! [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.002.706 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_op_symbol.cc:55] LoadAclOpApiSymbol] Load ascend op api success! [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.002.911 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_prof_symbol.cc:51] LoadProfApiSymbol] Load acl prof api success! [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.002.989 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_rt_allocator_symbol.cc:48] LoadAclAllocatorApiSymbol] Load acl allocator api success! [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.003.091 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_rt_symbol.cc:159] LoadAclRtApiSymbol] Load acl rt api success! [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.003.172 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_symbol.cc:34] LoadAclApiSymbol] Load acl base api success! [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.004.142 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_compiler_symbol.cc:39] LoadAclOpCompilerApiSymbol] Load acl op compiler api success! [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.004.438 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_mdl_symbol.cc:130] LoadAclMdlApiSymbol] Load acl mdl api success! [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.004.527 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_op_symbol.cc:55] LoadAclOpApiSymbol] Load ascend op api success! [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.004.725 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_prof_symbol.cc:51] LoadProfApiSymbol] Load acl prof api success! [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.004.807 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_rt_allocator_symbol.cc:48] LoadAclAllocatorApiSymbol] Load acl allocator api success! [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.004.908 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_rt_symbol.cc:159] LoadAclRtApiSymbol] Load acl rt api success! [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.004.979 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_symbol.cc:34] LoadAclApiSymbol] Load acl base api success! [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.006.075 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_tdt_symbol.cc:82] LoadAcltdtApiSymbol] Load acl tdt api success! [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.006.213 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:79] LoadAscendApiSymbols] Load ascend api success! [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.007.996 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_tdt_symbol.cc:82] LoadAcltdtApiSymbol] Load acl tdt api success! [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.008.153 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:79] LoadAscendApiSymbols] Load ascend api success! [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.016.818 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.018.579 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] COMMON(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.057.188 [mindspore/ccsrc/pybind_api/utils/log_adapter_py.cc:27] PyExceptionInitializer] Set exception handler [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.065.258 [mindspore/ccsrc/pybind_api/utils/log_adapter_py.cc:27] PyExceptionInitializer] Set exception handler [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.122.254 [mindspore/ccsrc/pybind_api/init.cc:260] pybind11_init__c_expression] Start GraphExecutorPy... [INFO] COMMON(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.124.605 [mindspore/ccsrc/pybind_api/init.cc:260] pybind11_init__c_expression] Start GraphExecutorPy... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.123.215 [mindspore/ccsrc/pybind_api/init.cc:326] pybind11_init__c_expression] Start JitExecutorPy... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.124.153 [mindspore/ccsrc/pybind_api/init.cc:391] pybind11_init__c_expression] Start ParallelContext... [INFO] COMMON(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.125.622 [mindspore/ccsrc/pybind_api/init.cc:326] pybind11_init__c_expression] Start JitExecutorPy... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.125.737 [mindspore/ccsrc/pybind_api/init.cc:525] pybind11_init__c_expression] Start CostModelContext... [INFO] COMMON(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.126.674 [mindspore/ccsrc/pybind_api/init.cc:391] pybind11_init__c_expression] Start ParallelContext... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.126.686 [mindspore/ccsrc/pybind_api/init.cc:627] pybind11_init__c_expression] Start OffloadContext... [INFO] COMMON(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.128.366 [mindspore/ccsrc/pybind_api/init.cc:525] pybind11_init__c_expression] Start CostModelContext... [INFO] COMMON(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.129.273 [mindspore/ccsrc/pybind_api/init.cc:627] pybind11_init__c_expression] Start OffloadContext... [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.129.991 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:07.130.144 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.132.937 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:07.133.133 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:07.182.526 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ascend plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ascend.so.2 success. [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:07.183.075 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ops_ascend plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ops_ascend.so success. [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:07.239.390 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ops_host plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ops_host.so success. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.239.723 [mindspore/core/utils/ms_context.cc:105] SetDeviceId] Set MS_CTX_DEVICE_ID by env DEVICE_ID to: 2 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.239.792 [mindspore/core/utils/ms_context.cc:165] set_backend_policy] ms set context backend policy:ge [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.240.622 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_base_symbol.cc:63] LoadAclBaseApiSymbol] Load acl base api success! [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.243.108 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_compiler_symbol.cc:39] LoadAclOpCompilerApiSymbol] Load acl op compiler api success! [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.243.338 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_mdl_symbol.cc:130] LoadAclMdlApiSymbol] Load acl mdl api success! [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.243.406 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_op_symbol.cc:55] LoadAclOpApiSymbol] Load ascend op api success! [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.243.550 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_prof_symbol.cc:51] LoadProfApiSymbol] Load acl prof api success! [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.243.606 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_rt_allocator_symbol.cc:48] LoadAclAllocatorApiSymbol] Load acl allocator api success! [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.243.694 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_rt_symbol.cc:159] LoadAclRtApiSymbol] Load acl rt api success! [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.243.748 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_symbol.cc:34] LoadAclApiSymbol] Load acl base api success! [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.246.466 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_tdt_symbol.cc:82] LoadAcltdtApiSymbol] Load acl tdt api success! [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.246.641 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:79] LoadAscendApiSymbols] Load ascend api success! [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.256.549 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] COMMON(1384455,ffffae59eec0,python):2025-07-15-11:45:07.302.351 [mindspore/ccsrc/pybind_api/utils/log_adapter_py.cc:27] PyExceptionInitializer] Set exception handler [INFO] COMMON(1384455,ffffae59eec0,python):2025-07-15-11:45:07.361.372 [mindspore/ccsrc/pybind_api/init.cc:260] pybind11_init__c_expression] Start GraphExecutorPy... [INFO] COMMON(1384455,ffffae59eec0,python):2025-07-15-11:45:07.362.290 [mindspore/ccsrc/pybind_api/init.cc:326] pybind11_init__c_expression] Start JitExecutorPy... [INFO] COMMON(1384455,ffffae59eec0,python):2025-07-15-11:45:07.363.262 [mindspore/ccsrc/pybind_api/init.cc:391] pybind11_init__c_expression] Start ParallelContext... [INFO] COMMON(1384455,ffffae59eec0,python):2025-07-15-11:45:07.364.837 [mindspore/ccsrc/pybind_api/init.cc:525] pybind11_init__c_expression] Start CostModelContext... [INFO] COMMON(1384455,ffffae59eec0,python):2025-07-15-11:45:07.365.717 [mindspore/ccsrc/pybind_api/init.cc:627] pybind11_init__c_expression] Start OffloadContext... [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.369.064 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:07.369.273 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:07.378.906 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ascend plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ascend.so.2 success. [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:07.379.569 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ops_ascend plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ops_ascend.so success. [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:07.436.032 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:377] LoadPlugin] Load libmindspore_ops_host plugin file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/libmindspore_ops_host.so success. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.436.376 [mindspore/core/utils/ms_context.cc:105] SetDeviceId] Set MS_CTX_DEVICE_ID by env DEVICE_ID to: 3 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.436.454 [mindspore/core/utils/ms_context.cc:165] set_backend_policy] ms set context backend policy:ge [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.437.457 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_base_symbol.cc:63] LoadAclBaseApiSymbol] Load acl base api success! [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.440.359 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_compiler_symbol.cc:39] LoadAclOpCompilerApiSymbol] Load acl op compiler api success! [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.440.669 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_mdl_symbol.cc:130] LoadAclMdlApiSymbol] Load acl mdl api success! [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.440.764 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_op_symbol.cc:55] LoadAclOpApiSymbol] Load ascend op api success! [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.440.961 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_prof_symbol.cc:51] LoadProfApiSymbol] Load acl prof api success! [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.441.028 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_rt_allocator_symbol.cc:48] LoadAclAllocatorApiSymbol] Load acl allocator api success! [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.441.118 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_rt_symbol.cc:159] LoadAclRtApiSymbol] Load acl rt api success! [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.441.171 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_symbol.cc:34] LoadAclApiSymbol] Load acl base api success! [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.444.016 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/acl_tdt_symbol.cc:82] LoadAcltdtApiSymbol] Load acl tdt api success! [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.444.176 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:79] LoadAscendApiSymbols] Load ascend api success! [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.454.078 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] COMMON(1384462,ffff943eeec0,python):2025-07-15-11:45:07.499.217 [mindspore/ccsrc/pybind_api/utils/log_adapter_py.cc:27] PyExceptionInitializer] Set exception handler [INFO] COMMON(1384462,ffff943eeec0,python):2025-07-15-11:45:07.564.587 [mindspore/ccsrc/pybind_api/init.cc:260] pybind11_init__c_expression] Start GraphExecutorPy... [INFO] COMMON(1384462,ffff943eeec0,python):2025-07-15-11:45:07.565.498 [mindspore/ccsrc/pybind_api/init.cc:326] pybind11_init__c_expression] Start JitExecutorPy... [INFO] COMMON(1384462,ffff943eeec0,python):2025-07-15-11:45:07.566.320 [mindspore/ccsrc/pybind_api/init.cc:391] pybind11_init__c_expression] Start ParallelContext... [INFO] COMMON(1384462,ffff943eeec0,python):2025-07-15-11:45:07.567.920 [mindspore/ccsrc/pybind_api/init.cc:525] pybind11_init__c_expression] Start CostModelContext... [INFO] COMMON(1384462,ffff943eeec0,python):2025-07-15-11:45:07.568.823 [mindspore/ccsrc/pybind_api/init.cc:627] pybind11_init__c_expression] Start OffloadContext... [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.572.349 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:07.572.510 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:09.855.717 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:09.855.889 [mindspore/ccsrc/frontend/parallel/costmodel_context.cc:30] GetInstance] Create costmodel_context [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:09.855.957 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] CORE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:09.947.735 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] PARALLEL(1384450,ffffbdcbeec0,python):2025-07-15-11:45:09.947.931 [mindspore/ccsrc/frontend/parallel/costmodel_context.cc:30] GetInstance] Create costmodel_context [INFO] CORE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:09.947.996 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:09.960.044 [mindspore/ccsrc/runtime/pynative/lazy_fusion.cc:27] Init] Start init lazy fusion. [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:09.960.303 [mindspore/ccsrc/plugin/device/ascend/kernel/dvm/lazy_fusion_flags.cc:174] LazyFusionFlags] lazy_fusion_flags :{"disable_ops":[],"dump_as_text":false,"enable_ops_only":[],"flush_threshold":100,"online_tuning":false,"opt_level":0,"synchronize":false} [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:09.960.352 [mindspore/ccsrc/plugin/device/ascend/kernel/dvm/lazy_fusion_op.cc:1802] LazyFusionAscendInit] Skip init lazy fusion. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:09.960.382 [mindspore/ccsrc/runtime/pynative/lazy_fusion.cc:31] Init] End init lazy fusion. [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:10.053.868 [mindspore/ccsrc/runtime/pynative/lazy_fusion.cc:27] Init] Start init lazy fusion. [INFO] KERNEL(1384450,ffffbdcbeec0,python):2025-07-15-11:45:10.054.139 [mindspore/ccsrc/plugin/device/ascend/kernel/dvm/lazy_fusion_flags.cc:174] LazyFusionFlags] lazy_fusion_flags :{"disable_ops":[],"dump_as_text":false,"enable_ops_only":[],"flush_threshold":100,"online_tuning":false,"opt_level":0,"synchronize":false} [INFO] KERNEL(1384450,ffffbdcbeec0,python):2025-07-15-11:45:10.054.192 [mindspore/ccsrc/plugin/device/ascend/kernel/dvm/lazy_fusion_op.cc:1802] LazyFusionAscendInit] Skip init lazy fusion. [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:10.054.233 [mindspore/ccsrc/runtime/pynative/lazy_fusion.cc:31] Init] End init lazy fusion. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:10.603.740 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:10.603.963 [mindspore/ccsrc/frontend/parallel/costmodel_context.cc:30] GetInstance] Create costmodel_context [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:10.604.021 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:10.717.256 [mindspore/ccsrc/runtime/pynative/lazy_fusion.cc:27] Init] Start init lazy fusion. [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:10.717.479 [mindspore/ccsrc/plugin/device/ascend/kernel/dvm/lazy_fusion_flags.cc:174] LazyFusionFlags] lazy_fusion_flags :{"disable_ops":[],"dump_as_text":false,"enable_ops_only":[],"flush_threshold":100,"online_tuning":false,"opt_level":0,"synchronize":false} [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:10.717.529 [mindspore/ccsrc/plugin/device/ascend/kernel/dvm/lazy_fusion_op.cc:1802] LazyFusionAscendInit] Skip init lazy fusion. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:10.717.563 [mindspore/ccsrc/runtime/pynative/lazy_fusion.cc:31] Init] End init lazy fusion. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:10.737.516 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:10.737.733 [mindspore/ccsrc/frontend/parallel/costmodel_context.cc:30] GetInstance] Create costmodel_context [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:10.737.798 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:10.869.114 [mindspore/ccsrc/runtime/pynative/lazy_fusion.cc:27] Init] Start init lazy fusion. [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:10.869.382 [mindspore/ccsrc/plugin/device/ascend/kernel/dvm/lazy_fusion_flags.cc:174] LazyFusionFlags] lazy_fusion_flags :{"disable_ops":[],"dump_as_text":false,"enable_ops_only":[],"flush_threshold":100,"online_tuning":false,"opt_level":0,"synchronize":false} [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:10.869.438 [mindspore/ccsrc/plugin/device/ascend/kernel/dvm/lazy_fusion_op.cc:1802] LazyFusionAscendInit] Skip init lazy fusion. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:10.869.472 [mindspore/ccsrc/runtime/pynative/lazy_fusion.cc:31] Init] End init lazy fusion. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:11.823.833 [mindspore/profiler/common/registry.py:36] registered module: CpuProfiler with name: CPU [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:11.824.471 [mindspore/profiler/common/registry.py:36] registered module: GpuProfiler with name: GPU [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:11.834.097 [mindspore/profiler/common/registry.py:36] registered module: NpuProfiler with name: Ascend [INFO] ME(1384450:281473866002112,MainProcess):2025-07-15-11:45:11.926.965 [mindspore/profiler/common/registry.py:36] registered module: CpuProfiler with name: CPU [INFO] ME(1384450:281473866002112,MainProcess):2025-07-15-11:45:11.927.589 [mindspore/profiler/common/registry.py:36] registered module: GpuProfiler with name: GPU [INFO] ME(1384450:281473866002112,MainProcess):2025-07-15-11:45:11.936.913 [mindspore/profiler/common/registry.py:36] registered module: NpuProfiler with name: Ascend [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.950.314 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.950.555 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.951.410 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.951.540 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.951.644 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:466] GetDeviceContext] Device context of device Ascend is not created yet. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:11.951.710 [mindspore/hal/device.py:156] Backend Ascend is not created yet. [WARNING] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:11.951.960 [mindspore/context.py:1412] For 'context.set_context', the parameter 'device_target' will be deprecated and removed in a future version. Please use the api mindspore.set_device() instead. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.952.133 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.952.220 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.953.026 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.953.123 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.953.344 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:466] GetDeviceContext] Device context of device Ascend is not created yet. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:11.953.409 [mindspore/hal/device.py:156] Backend Ascend is not created yet. [INFO] PS(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.954.530 [mindspore/ccsrc/ps/ps_context.cc:256] set_ms_role] MS_ROLE of this node is MS_WORKER [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.954.646 [mindspore/ccsrc/include/backend/distributed/cluster/topology/node_base.h:46] NodeBase] Cluster topo timeout is 600 seconds. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.954.684 [mindspore/ccsrc/include/backend/distributed/cluster/topology/node_base.h:51] NodeBase] Node timeout after exception is 30 seconds. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.954.740 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:29] TCPClient] Tcp client receiving message timeout is 15 seconds. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.955.224 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:RECV_EVENT_LOOP,loop_thread_:281471629586336 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.955.594 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:SEND_EVENT_LOOP,loop_thread_:281471621132192 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.955.664 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:29] TCPClient] Tcp client receiving message timeout is 15 seconds. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.955.921 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:RECV_EVENT_LOOP,loop_thread_:281471612678048 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.956.161 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:SEND_EVENT_LOOP,loop_thread_:281471604223904 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.956.229 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:170] Register] Start connecting heartbeat client. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.956.297 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:441] Connect] Can not found link destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.956.674 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:485] Connect] Connection 19 source: 127.0.0.1:60196, destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:11.956.734 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:494] Connect] Waiting for the state of the connection to 127.0.0.1:10969 to be connected...Retry number: 1 [INFO] DISTRIBUTED(1384446,ffff377cefa0,python):2025-07-15-11:45:11.956.873 [mindspore/ccsrc/distributed/rpc/tcp/connection.cc:239] ReconnectSourceSocket] Connection from 127.0.0.1:60196 to 127.0.0.1:10969 is not available yet, errno: 0 Success, events: 8220 [INFO] DISTRIBUTED(1384446,ffff377cefa0,python):2025-07-15-11:45:11.956.932 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:35] DoDisconnect] Failed to call connect, fd: 19from : 127.0.0.1:60196 to: 127.0.0.1:10969, events: 8216, errno: 111 Connection refused [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.058.036 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.058.274 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] CORE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.059.288 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] CORE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.059.424 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] ME(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.059.525 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:466] GetDeviceContext] Device context of device Ascend is not created yet. [INFO] ME(1384450:281473866002112,MainProcess):2025-07-15-11:45:12.595.92 [mindspore/hal/device.py:156] Backend Ascend is not created yet. [WARNING] ME(1384450:281473866002112,MainProcess):2025-07-15-11:45:12.598.63 [mindspore/context.py:1412] For 'context.set_context', the parameter 'device_target' will be deprecated and removed in a future version. Please use the api mindspore.set_device() instead. [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.060.037 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.060.130 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] CORE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.060.976 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] CORE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.061.078 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] ME(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.061.318 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:466] GetDeviceContext] Device context of device Ascend is not created yet. [INFO] ME(1384450:281473866002112,MainProcess):2025-07-15-11:45:12.613.82 [mindspore/hal/device.py:156] Backend Ascend is not created yet. [INFO] PS(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.062.464 [mindspore/ccsrc/ps/ps_context.cc:256] set_ms_role] MS_ROLE of this node is MS_WORKER [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.062.588 [mindspore/ccsrc/include/backend/distributed/cluster/topology/node_base.h:46] NodeBase] Cluster topo timeout is 600 seconds. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.062.628 [mindspore/ccsrc/include/backend/distributed/cluster/topology/node_base.h:51] NodeBase] Node timeout after exception is 30 seconds. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.062.715 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:29] TCPClient] Tcp client receiving message timeout is 15 seconds. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.063.201 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:RECV_EVENT_LOOP,loop_thread_:281472154595232 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.063.511 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:SEND_EVENT_LOOP,loop_thread_:281472146141088 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.063.575 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:29] TCPClient] Tcp client receiving message timeout is 15 seconds. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.063.844 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:RECV_EVENT_LOOP,loop_thread_:281472137686944 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.064.109 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:SEND_EVENT_LOOP,loop_thread_:281472129232800 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.064.178 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:170] Register] Start connecting heartbeat client. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.064.237 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:441] Connect] Can not found link destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.064.603 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:485] Connect] Connection 19 source: 127.0.0.1:60202, destination: 127.0.0.1:10969 [INFO] DISTRIBUTED(1384450,ffff56c7efa0,python):2025-07-15-11:45:12.064.639 [mindspore/ccsrc/distributed/rpc/tcp/connection.cc:239] ReconnectSourceSocket] Connection from 127.0.0.1:60202 to 127.0.0.1:10969 is not available yet, errno: 0 Success, events: 8220 [INFO] DISTRIBUTED(1384450,ffff56c7efa0,python):2025-07-15-11:45:12.064.699 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:35] DoDisconnect] Failed to call connect, fd: 19from : 127.0.0.1:60202 to: 127.0.0.1:10969, events: 8216, errno: 111 Connection refused [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.064.653 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:494] Connect] Waiting for the state of the connection to 127.0.0.1:10969 to be connected...Retry number: 1 [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:12.458.613 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:76] Connect] Failed to connect to the tcp server : 127.0.0.1:10969, retry to reconnect(1/1)... [INFO] DISTRIBUTED(1384446,ffff377cefa0,python):2025-07-15-11:45:12.458.766 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:281] EventCallBack] The connection fd : 19 state is kDisconnecting. Start disconnecting from 127.0.0.1:60196 to 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:12.564.998 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:76] Connect] Failed to connect to the tcp server : 127.0.0.1:10969, retry to reconnect(1/1)... [INFO] DISTRIBUTED(1384450,ffff56c7efa0,python):2025-07-15-11:45:12.565.067 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:281] EventCallBack] The connection fd : 19 state is kDisconnecting. Start disconnecting from 127.0.0.1:60202 to 127.0.0.1:10969 [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:12.714.315 [mindspore/profiler/common/registry.py:36] registered module: CpuProfiler with name: CPU [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:12.715.102 [mindspore/profiler/common/registry.py:36] registered module: GpuProfiler with name: GPU [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:12.725.854 [mindspore/profiler/common/registry.py:36] registered module: NpuProfiler with name: Ascend [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:12.865.563 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:12.865.793 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:12.866.973 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:12.867.132 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:12.867.256 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:466] GetDeviceContext] Device context of device Ascend is not created yet. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:12.867.339 [mindspore/hal/device.py:156] Backend Ascend is not created yet. [WARNING] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:12.867.653 [mindspore/context.py:1412] For 'context.set_context', the parameter 'device_target' will be deprecated and removed in a future version. Please use the api mindspore.set_device() instead. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:12.867.866 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:12.867.973 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:12.868.962 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:12.869.059 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:12.869.356 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:466] GetDeviceContext] Device context of device Ascend is not created yet. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:12.869.435 [mindspore/hal/device.py:156] Backend Ascend is not created yet. [INFO] PS(1384462,ffff943eeec0,python):2025-07-15-11:45:12.870.787 [mindspore/ccsrc/ps/ps_context.cc:256] set_ms_role] MS_ROLE of this node is MS_WORKER [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.870.902 [mindspore/ccsrc/include/backend/distributed/cluster/topology/node_base.h:46] NodeBase] Cluster topo timeout is 600 seconds. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.870.942 [mindspore/ccsrc/include/backend/distributed/cluster/topology/node_base.h:51] NodeBase] Node timeout after exception is 30 seconds. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.871.038 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:29] TCPClient] Tcp client receiving message timeout is 15 seconds. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.871.527 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:RECV_EVENT_LOOP,loop_thread_:281471457292192 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.871.872 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:SEND_EVENT_LOOP,loop_thread_:281471448838048 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.871.939 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:29] TCPClient] Tcp client receiving message timeout is 15 seconds. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.872.183 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:RECV_EVENT_LOOP,loop_thread_:281471440383904 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.872.405 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:SEND_EVENT_LOOP,loop_thread_:281471431929760 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.872.475 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:170] Register] Start connecting heartbeat client. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.872.543 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:441] Connect] Can not found link destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.872.954 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:485] Connect] Connection 19 source: 127.0.0.1:60218, destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:12.873.010 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:494] Connect] Waiting for the state of the connection to 127.0.0.1:10969 to be connected...Retry number: 1 [WARNING] DISTRIBUTED(1384462,ffff2d37efa0,python):2025-07-15-11:45:12.873.134 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:79] ConnectedEventHandler] Connection from 127.0.0.1:60218 to 127.0.0.1:10969 is successfully created. System errno: Success [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:12.962.602 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:173] Register] Failed to connect to the meta server node url: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:12.962.707 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:363] ReconnectWithTimeoutWindow] Failed to register and try to reconnect to the meta server. [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:13.065.972 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:173] Register] Failed to connect to the meta server node url: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:13.066.122 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:363] ReconnectWithTimeoutWindow] Failed to register and try to reconnect to the meta server. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:13.345.223 [mindspore/profiler/common/registry.py:36] registered module: CpuProfiler with name: CPU [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:13.346.179 [mindspore/profiler/common/registry.py:36] registered module: GpuProfiler with name: GPU [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:13.358.141 [mindspore/profiler/common/registry.py:36] registered module: NpuProfiler with name: Ascend [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:13.373.263 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:505] Connect] Connected to destination: 127.0.0.1:10969 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:13.373.379 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:73] Connect] Connected to the tcp server 127.0.0.1:10969 successfully. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:13.373.416 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:178] Register] Start connecting business client. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:13.373.449 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:441] Connect] Can not found link destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:13.373.891 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:485] Connect] Connection 20 source: 127.0.0.1:60222, destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:13.373.957 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:494] Connect] Waiting for the state of the connection to 127.0.0.1:10969 to be connected...Retry number: 2 [WARNING] DISTRIBUTED(1384462,ffff2e39efa0,python):2025-07-15-11:45:13.374.273 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:79] ConnectedEventHandler] Connection from 127.0.0.1:60222 to 127.0.0.1:10969 is successfully created. System errno: Success [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:13.466.004 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:386] Reconnect] Start reconnecting business client. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:13.466.107 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:441] Connect] Can not found link destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:13.466.578 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:485] Connect] Connection 20 source: 127.0.0.1:60236, destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:13.466.638 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:494] Connect] Waiting for the state of the connection to 127.0.0.1:10969 to be connected...Retry number: 2 [WARNING] DISTRIBUTED(1384446,ffff387eefa0,python):2025-07-15-11:45:13.466.787 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:79] ConnectedEventHandler] Connection from 127.0.0.1:60236 to 127.0.0.1:10969 is successfully created. System errno: Success [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:13.506.898 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:13.507.129 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:13.508.292 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:13.508.433 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:13.508.565 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:466] GetDeviceContext] Device context of device Ascend is not created yet. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:13.508.647 [mindspore/hal/device.py:156] Backend Ascend is not created yet. [WARNING] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:13.508.975 [mindspore/context.py:1412] For 'context.set_context', the parameter 'device_target' will be deprecated and removed in a future version. Please use the api mindspore.set_device() instead. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:13.509.170 [mindspore/ccsrc/plugin/res_manager/ascend/symbol_interface/symbol_utils.cc:65] LoadAscendApiSymbols] Ascend api is already loaded. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:13.509.265 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:234] SetContextSocVersion] The soc version :Ascend910B3 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:13.510.174 [mindspore/core/utils/ms_context.cc:306] SetDeviceTargetFromInner] ms set context device target:Ascend [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:13.510.269 [mindspore/core/utils/ms_context.cc:310] SetDeviceTargetFromInner] Set memory_optimize_level to O0 as default on other device [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:13.510.616 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:466] GetDeviceContext] Device context of device Ascend is not created yet. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:13.510.699 [mindspore/hal/device.py:156] Backend Ascend is not created yet. [INFO] PS(1384455,ffffae59eec0,python):2025-07-15-11:45:13.512.006 [mindspore/ccsrc/ps/ps_context.cc:256] set_ms_role] MS_ROLE of this node is MS_WORKER [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.512.130 [mindspore/ccsrc/include/backend/distributed/cluster/topology/node_base.h:46] NodeBase] Cluster topo timeout is 600 seconds. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.512.172 [mindspore/ccsrc/include/backend/distributed/cluster/topology/node_base.h:51] NodeBase] Node timeout after exception is 30 seconds. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.512.263 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:29] TCPClient] Tcp client receiving message timeout is 15 seconds. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.513.446 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:RECV_EVENT_LOOP,loop_thread_:281471895334816 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.513.900 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:SEND_EVENT_LOOP,loop_thread_:281471886880672 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.513.977 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:29] TCPClient] Tcp client receiving message timeout is 15 seconds. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.514.243 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:RECV_EVENT_LOOP,loop_thread_:281471878426528 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.514.505 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:189] Initialize] Set pthread name success name:SEND_EVENT_LOOP,loop_thread_:281471869972384 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.514.575 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:170] Register] Start connecting heartbeat client. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.514.636 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:441] Connect] Can not found link destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.515.062 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:485] Connect] Connection 19 source: 127.0.0.1:60250, destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384455,ffff4753efa0,python):2025-07-15-11:45:13.515.096 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:79] ConnectedEventHandler] Connection from 127.0.0.1:60250 to 127.0.0.1:10969 is successfully created. System errno: Success [WARNING] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:13.515.111 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:494] Connect] Waiting for the state of the connection to 127.0.0.1:10969 to be connected...Retry number: 1 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:13.566.362 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:386] Reconnect] Start reconnecting business client. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:13.566.532 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:441] Connect] Can not found link destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:13.566.979 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:485] Connect] Connection 20 source: 127.0.0.1:60264, destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:13.567.043 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:494] Connect] Waiting for the state of the connection to 127.0.0.1:10969 to be connected...Retry number: 2 [WARNING] DISTRIBUTED(1384450,ffff57c9efa0,python):2025-07-15-11:45:13.567.043 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:79] ConnectedEventHandler] Connection from 127.0.0.1:60264 to 127.0.0.1:10969 is successfully created. System errno: Success [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:13.874.244 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:505] Connect] Connected to destination: 127.0.0.1:10969 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:13.874.388 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:73] Connect] Connected to the tcp server 127.0.0.1:10969 successfully. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:13.876.255 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:222] Register] The compute graph node: 3 has been registered successfully. [WARNING] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:13.876.693 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:246] BuildCluster] Topology build timed out., retry(1/1200). [INFO] DISTRIBUTED(1384462,ffff1fffefa0,python):2025-07-15-11:45:13.877.034 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:270] Heartbeat] Interval of heartbeat lower and upper are 3 and 5 [INFO] DISTRIBUTED(1384462,ffff1fffefa0,python):2025-07-15-11:45:13.877.163 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:274] Heartbeat] The heartbeat thread is started. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:13.969.179 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:505] Connect] Connected to destination: 127.0.0.1:10969 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:13.969.292 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:73] Connect] Connected to the tcp server 127.0.0.1:10969 successfully. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:13.969.333 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:393] Reconnect] Start reconnecting heartbeat client. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:13.969.366 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:441] Connect] Can not found link destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:13.969.820 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:485] Connect] Connection 21 source: 127.0.0.1:60268, destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:13.969.903 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:494] Connect] Waiting for the state of the connection to 127.0.0.1:10969 to be connected...Retry number: 3 [WARNING] DISTRIBUTED(1384446,ffff377cefa0,python):2025-07-15-11:45:13.969.997 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:79] ConnectedEventHandler] Connection from 127.0.0.1:60268 to 127.0.0.1:10969 is successfully created. System errno: Success [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:14.015.457 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:505] Connect] Connected to destination: 127.0.0.1:10969 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:14.015.546 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:73] Connect] Connected to the tcp server 127.0.0.1:10969 successfully. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:14.015.586 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:178] Register] Start connecting business client. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:14.015.627 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:441] Connect] Can not found link destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:14.016.079 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:485] Connect] Connection 20 source: 127.0.0.1:60282, destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:14.016.141 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:494] Connect] Waiting for the state of the connection to 127.0.0.1:10969 to be connected...Retry number: 2 [WARNING] DISTRIBUTED(1384455,ffff4855efa0,python):2025-07-15-11:45:14.016.161 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:79] ConnectedEventHandler] Connection from 127.0.0.1:60282 to 127.0.0.1:10969 is successfully created. System errno: Success [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.069.545 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:505] Connect] Connected to destination: 127.0.0.1:10969 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.069.697 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:73] Connect] Connected to the tcp server 127.0.0.1:10969 successfully. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.069.738 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:393] Reconnect] Start reconnecting heartbeat client. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.069.768 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:441] Connect] Can not found link destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.070.188 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:485] Connect] Connection 21 source: 127.0.0.1:60298, destination: 127.0.0.1:10969 [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.070.278 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:494] Connect] Waiting for the state of the connection to 127.0.0.1:10969 to be connected...Retry number: 3 [WARNING] DISTRIBUTED(1384450,ffff56c7efa0,python):2025-07-15-11:45:14.070.373 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:79] ConnectedEventHandler] Connection from 127.0.0.1:60298 to 127.0.0.1:10969 is successfully created. System errno: Success [WARNING] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:14.377.004 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:246] BuildCluster] Topology build timed out., retry(2/1200). [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:14.470.154 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:505] Connect] Connected to destination: 127.0.0.1:10969 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:14.470.265 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:73] Connect] Connected to the tcp server 127.0.0.1:10969 successfully. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:14.470.314 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:170] Register] Start connecting heartbeat client. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:14.470.348 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:178] Register] Start connecting business client. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:14.471.054 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:222] Register] The compute graph node: 0 has been registered successfully. [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:14.471.350 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:246] BuildCluster] Topology build timed out., retry(1/1200). [INFO] DISTRIBUTED(1384446,ffff367aefa0,python):2025-07-15-11:45:14.471.473 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:270] Heartbeat] Interval of heartbeat lower and upper are 3 and 5 [INFO] DISTRIBUTED(1384446,ffff367aefa0,python):2025-07-15-11:45:14.471.533 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:274] Heartbeat] The heartbeat thread is started. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:14.516.388 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:505] Connect] Connected to destination: 127.0.0.1:10969 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:14.516.519 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:73] Connect] Connected to the tcp server 127.0.0.1:10969 successfully. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:14.517.502 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:222] Register] The compute graph node: 2 has been registered successfully. [WARNING] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:14.517.797 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:246] BuildCluster] Topology build timed out., retry(1/1200). [INFO] DISTRIBUTED(1384455,ffff4651efa0,python):2025-07-15-11:45:14.517.910 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:270] Heartbeat] Interval of heartbeat lower and upper are 3 and 5 [INFO] DISTRIBUTED(1384455,ffff4651efa0,python):2025-07-15-11:45:14.517.971 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:274] Heartbeat] The heartbeat thread is started. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.570.569 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:505] Connect] Connected to destination: 127.0.0.1:10969 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.570.722 [mindspore/ccsrc/distributed/rpc/tcp/tcp_client.cc:73] Connect] Connected to the tcp server 127.0.0.1:10969 successfully. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.570.772 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:170] Register] Start connecting heartbeat client. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.570.807 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:178] Register] Start connecting business client. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.572.871 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:222] Register] The compute graph node: 1 has been registered successfully. [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:14.573.198 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:246] BuildCluster] Topology build timed out., retry(1/1200). [INFO] DISTRIBUTED(1384450,ffff55c5efa0,python):2025-07-15-11:45:14.573.324 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:270] Heartbeat] Interval of heartbeat lower and upper are 3 and 5 [INFO] DISTRIBUTED(1384450,ffff55c5efa0,python):2025-07-15-11:45:14.573.392 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:274] Heartbeat] The heartbeat thread is started. [WARNING] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:14.877.395 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:246] BuildCluster] Topology build timed out., retry(3/1200). [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:14.971.605 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:246] BuildCluster] Topology build timed out., retry(2/1200). [WARNING] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.018.568 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:246] BuildCluster] Topology build timed out., retry(2/1200). [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.073.501 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:247] BuildCluster] [PROF]BuildCluster costs 3010.76 msec. [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.073.636 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:249] BuildCluster] Cluster is successfully initialized. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.073.674 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:341] PostProcess] Start post processing for computing graph nodes. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.073.708 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:346] PostProcess] MS_NODE_ID set to this process is 1 and it's not numeric. Or ranktable file is set. Need to get reassigned rank id from scheduler. [WARNING] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.074.210 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:355] PostProcess] This node 1 rank id: 2 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.074.260 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:359] PostProcess] Client ip address in this cluster of this compute graph node is 127.0.0.1 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.074.306 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:370] PostProcess] Assigned for this worker port range is 8630 to 8885 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.074.693 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:253] BuildCluster] [PROF]PostBuildCluster costs 0.984 msec. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.074.800 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:184] node_num] Number of role MS_WORKER is 4 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.074.855 [mindspore/ccsrc/distributed/init.cc:52] Initialize] [PROF]distributed_cluster_init costs 3012.53 msec. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.074.933 [mindspore/ccsrc/distributed/collective/collective_manager.cc:185] Initialize] Start initializing collective communication for backend: Ascend... [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.075.162 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:106] LoadResManager] HalResManager dlopen ascend lib name: libmindspore_cpu_res_manager.so [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.075.276 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:128] LoadResManager] HalResManager dlopen current device lib name: /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/cpu/libmindspore_cpu_res_manager.so [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.075.605 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:50] MsCollectiveCommLib] Global group name of MindSpore collective communication library is mccl_world_group [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.075.663 [mindspore/ccsrc/distributed/collective/collective_manager.cc:589] InitHostCommlib] Start initializing communication library on host side... [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.075.726 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:84] Initialize] Query retry count is 400 [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.075.768 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:92] Initialize] Interval of retry allgather hostname lower and upper are 1 and 2 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.075.828 [mindspore/ccsrc/distributed/collective/collective_manager.cc:609] InitHostCommlib] Communication library on host side is successfully initialized. Global rank id: 2, global rank size: 4 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.075.893 [mindspore/ccsrc/distributed/collective/collective_manager.cc:204] Initialize] [PROF]InitHostCommlib costs 0.9 msec. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.075.935 [mindspore/ccsrc/distributed/collective/collective_manager.cc:792] AssignLocalRank] Host name for rank 2 is ascend213 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.076.389 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:564] GetHostNames] Worker gets host names {"hostnames":["ascend213","ascend213","ascend213","ascend213"]} [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.076.537 [mindspore/ccsrc/distributed/collective/collective_manager.cc:813] AssignLocalRank] Successfully get all nodes' hostname. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.076.585 [mindspore/ccsrc/distributed/collective/collective_manager.cc:830] AssignLocalRank] The local rank id assigned for this process is 2 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.076.619 [mindspore/ccsrc/distributed/collective/collective_manager.cc:831] AssignLocalRank] The env 'DEVICE_ID' assigned for this process is: 1 [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.076.675 [mindspore/core/include/utils/device_manager_conf.h:45] distributed_refresh_device_id] Refresh device id to 2 for distributed. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.076.716 [mindspore/ccsrc/distributed/collective/collective_manager.cc:845] AssignLocalRank] The device_id of ms_context is set to env DEVICE_ID [1]. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.076.772 [mindspore/ccsrc/distributed/collective/collective_manager.cc:212] Initialize] [PROF]AssignLocalRank costs 0.825 msec. [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.076.880 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:105] Initialize] Start initializing device context. [INFO] CORE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.076.943 [mindspore/core/utils/ms_context.cc:463] PrintJitLevelAndExecMode] The jit_level is: O0, and enable kernelbykernel executor. [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.077.007 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:119] Initialize] The current overflow detection mode is INFNAN. [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.077.272 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:106] LoadResManager] HalResManager dlopen ascend lib name: libmindspore_ascend_res_manager.so [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.077.378 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:128] LoadResManager] HalResManager dlopen current device lib name: /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/ascend/libmindspore_ascend_res_manager.so [INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.077.676 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:58] InitDevice] Enter SetRtDevice, current initialize device number:0 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.377.820 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:247] BuildCluster] [PROF]BuildCluster costs 2506.75 msec. [WARNING] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.377.992 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:249] BuildCluster] Cluster is successfully initialized. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.378.035 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:341] PostProcess] Start post processing for computing graph nodes. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.378.078 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:346] PostProcess] MS_NODE_ID set to this process is 3 and it's not numeric. Or ranktable file is set. Need to get reassigned rank id from scheduler. [WARNING] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.378.838 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:355] PostProcess] This node 3 rank id: 1 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.378.951 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:359] PostProcess] Client ip address in this cluster of this compute graph node is 127.0.0.1 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.379.010 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:370] PostProcess] Assigned for this worker port range is 8374 to 8629 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.379.375 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:253] BuildCluster] [PROF]PostBuildCluster costs 1.299 msec. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.379.476 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:184] node_num] Number of role MS_WORKER is 4 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.379.531 [mindspore/ccsrc/distributed/init.cc:52] Initialize] [PROF]distributed_cluster_init costs 2508.9 msec. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.379.582 [mindspore/ccsrc/distributed/collective/collective_manager.cc:185] Initialize] Start initializing collective communication for backend: Ascend... [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.379.780 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:106] LoadResManager] HalResManager dlopen ascend lib name: libmindspore_cpu_res_manager.so [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.379.885 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:128] LoadResManager] HalResManager dlopen current device lib name: /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/cpu/libmindspore_cpu_res_manager.so [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.380.225 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:50] MsCollectiveCommLib] Global group name of MindSpore collective communication library is mccl_world_group [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.380.286 [mindspore/ccsrc/distributed/collective/collective_manager.cc:589] InitHostCommlib] Start initializing communication library on host side... [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.380.348 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:84] Initialize] Query retry count is 400 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.380.389 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:92] Initialize] Interval of retry allgather hostname lower and upper are 1 and 2 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.380.449 [mindspore/ccsrc/distributed/collective/collective_manager.cc:609] InitHostCommlib] Communication library on host side is successfully initialized. Global rank id: 1, global rank size: 4 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.380.515 [mindspore/ccsrc/distributed/collective/collective_manager.cc:204] Initialize] [PROF]InitHostCommlib costs 0.875 msec. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.380.561 [mindspore/ccsrc/distributed/collective/collective_manager.cc:792] AssignLocalRank] Host name for rank 1 is ascend213 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.380.921 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:564] GetHostNames] Worker gets host names {"hostnames":["ascend213","ascend213","ascend213","ascend213"]} [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.381.071 [mindspore/ccsrc/distributed/collective/collective_manager.cc:813] AssignLocalRank] Successfully get all nodes' hostname. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.381.125 [mindspore/ccsrc/distributed/collective/collective_manager.cc:830] AssignLocalRank] The local rank id assigned for this process is 1 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.381.162 [mindspore/ccsrc/distributed/collective/collective_manager.cc:831] AssignLocalRank] The env 'DEVICE_ID' assigned for this process is: 3 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.381.218 [mindspore/core/include/utils/device_manager_conf.h:45] distributed_refresh_device_id] Refresh device id to 1 for distributed. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.381.258 [mindspore/ccsrc/distributed/collective/collective_manager.cc:845] AssignLocalRank] The device_id of ms_context is set to env DEVICE_ID [3]. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:15.381.317 [mindspore/ccsrc/distributed/collective/collective_manager.cc:212] Initialize] [PROF]AssignLocalRank costs 0.743 msec. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.381.396 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:105] Initialize] Start initializing device context. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.381.454 [mindspore/core/utils/ms_context.cc:463] PrintJitLevelAndExecMode] The jit_level is: O0, and enable kernelbykernel executor. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.381.501 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:119] Initialize] The current overflow detection mode is INFNAN. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.381.680 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:106] LoadResManager] HalResManager dlopen ascend lib name: libmindspore_ascend_res_manager.so [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.381.781 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:128] LoadResManager] HalResManager dlopen current device lib name: /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/ascend/libmindspore_ascend_res_manager.so [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.382.048 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:58] InitDevice] Enter SetRtDevice, current initialize device number:0 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.472.002 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:247] BuildCluster] [PROF]BuildCluster costs 3517.19 msec. [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.472.127 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:249] BuildCluster] Cluster is successfully initialized. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.472.162 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:341] PostProcess] Start post processing for computing graph nodes. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.472.202 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:346] PostProcess] MS_NODE_ID set to this process is 0 and it's not numeric. Or ranktable file is set. Need to get reassigned rank id from scheduler. [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.472.900 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:355] PostProcess] This node 0 rank id: 3 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.473.033 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:359] PostProcess] Client ip address in this cluster of this compute graph node is 127.0.0.1 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.473.097 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:370] PostProcess] Assigned for this worker port range is 8886 to 9141 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.473.536 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:253] BuildCluster] [PROF]PostBuildCluster costs 1.329 msec. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.473.656 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:184] node_num] Number of role MS_WORKER is 4 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.473.743 [mindspore/ccsrc/distributed/init.cc:52] Initialize] [PROF]distributed_cluster_init costs 3519.34 msec. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.473.801 [mindspore/ccsrc/distributed/collective/collective_manager.cc:185] Initialize] Start initializing collective communication for backend: Ascend... [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.474.032 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:106] LoadResManager] HalResManager dlopen ascend lib name: libmindspore_cpu_res_manager.so [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.474.152 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:128] LoadResManager] HalResManager dlopen current device lib name: /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/cpu/libmindspore_cpu_res_manager.so [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.474.592 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:50] MsCollectiveCommLib] Global group name of MindSpore collective communication library is mccl_world_group [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.474.661 [mindspore/ccsrc/distributed/collective/collective_manager.cc:589] InitHostCommlib] Start initializing communication library on host side... [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.474.734 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:84] Initialize] Query retry count is 400 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.474.827 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:92] Initialize] Interval of retry allgather hostname lower and upper are 1 and 2 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.474.888 [mindspore/ccsrc/distributed/collective/collective_manager.cc:609] InitHostCommlib] Communication library on host side is successfully initialized. Global rank id: 3, global rank size: 4 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.474.960 [mindspore/ccsrc/distributed/collective/collective_manager.cc:204] Initialize] [PROF]InitHostCommlib costs 1.091 msec. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.475.013 [mindspore/ccsrc/distributed/collective/collective_manager.cc:792] AssignLocalRank] Host name for rank 3 is ascend213 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.475.598 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:564] GetHostNames] Worker gets host names {"hostnames":["ascend213","ascend213","ascend213","ascend213"]} [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.475.772 [mindspore/ccsrc/distributed/collective/collective_manager.cc:813] AssignLocalRank] Successfully get all nodes' hostname. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.475.834 [mindspore/ccsrc/distributed/collective/collective_manager.cc:830] AssignLocalRank] The local rank id assigned for this process is 3 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.475.876 [mindspore/ccsrc/distributed/collective/collective_manager.cc:831] AssignLocalRank] The env 'DEVICE_ID' assigned for this process is: 0 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.475.942 [mindspore/core/include/utils/device_manager_conf.h:45] distributed_refresh_device_id] Refresh device id to 3 for distributed. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.475.991 [mindspore/ccsrc/distributed/collective/collective_manager.cc:845] AssignLocalRank] The device_id of ms_context is set to env DEVICE_ID [0]. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.476.051 [mindspore/ccsrc/distributed/collective/collective_manager.cc:212] Initialize] [PROF]AssignLocalRank costs 1.03 msec. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.476.187 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:105] Initialize] Start initializing device context. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.476.292 [mindspore/core/utils/ms_context.cc:463] PrintJitLevelAndExecMode] The jit_level is: O0, and enable kernelbykernel executor. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.476.349 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:119] Initialize] The current overflow detection mode is INFNAN. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.476.667 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:106] LoadResManager] HalResManager dlopen ascend lib name: libmindspore_ascend_res_manager.so [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.476.805 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:128] LoadResManager] HalResManager dlopen current device lib name: /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/ascend/libmindspore_ascend_res_manager.so [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.477.172 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:58] InitDevice] Enter SetRtDevice, current initialize device number:0 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.518.937 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:247] BuildCluster] [PROF]BuildCluster costs 2006.66 msec. [WARNING] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.519.047 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:249] BuildCluster] Cluster is successfully initialized. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.519.131 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:341] PostProcess] Start post processing for computing graph nodes. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.519.170 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:346] PostProcess] MS_NODE_ID set to this process is 2 and it's not numeric. Or ranktable file is set. Need to get reassigned rank id from scheduler. [WARNING] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.519.561 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:355] PostProcess] This node 2 rank id: 0 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.519.614 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:359] PostProcess] Client ip address in this cluster of this compute graph node is 127.0.0.1 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.519.663 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:370] PostProcess] Assigned for this worker port range is 8118 to 8373 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.520.040 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:253] BuildCluster] [PROF]PostBuildCluster costs 0.878 msec. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.520.155 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:184] node_num] Number of role MS_WORKER is 4 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.520.217 [mindspore/ccsrc/distributed/init.cc:52] Initialize] [PROF]distributed_cluster_init costs 2008.36 msec. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.520.271 [mindspore/ccsrc/distributed/collective/collective_manager.cc:185] Initialize] Start initializing collective communication for backend: Ascend... [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.520.522 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:106] LoadResManager] HalResManager dlopen ascend lib name: libmindspore_cpu_res_manager.so [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.520.684 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:128] LoadResManager] HalResManager dlopen current device lib name: /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/cpu/libmindspore_cpu_res_manager.so [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.521.111 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:50] MsCollectiveCommLib] Global group name of MindSpore collective communication library is mccl_world_group [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.521.176 [mindspore/ccsrc/distributed/collective/collective_manager.cc:589] InitHostCommlib] Start initializing communication library on host side... [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.521.246 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:84] Initialize] Query retry count is 400 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.521.290 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/ms_collective_comm_lib.cc:92] Initialize] Interval of retry allgather hostname lower and upper are 1 and 2 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.521.352 [mindspore/ccsrc/distributed/collective/collective_manager.cc:609] InitHostCommlib] Communication library on host side is successfully initialized. Global rank id: 0, global rank size: 4 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.521.413 [mindspore/ccsrc/distributed/collective/collective_manager.cc:204] Initialize] [PROF]InitHostCommlib costs 1.081 msec. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.521.458 [mindspore/ccsrc/distributed/collective/collective_manager.cc:792] AssignLocalRank] Host name for rank 0 is ascend213 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.521.921 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:564] GetHostNames] Worker gets host names {"hostnames":["ascend213","ascend213","ascend213","ascend213"]} [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.522.115 [mindspore/ccsrc/distributed/collective/collective_manager.cc:813] AssignLocalRank] Successfully get all nodes' hostname. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.522.177 [mindspore/ccsrc/distributed/collective/collective_manager.cc:830] AssignLocalRank] The local rank id assigned for this process is 0 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.522.218 [mindspore/ccsrc/distributed/collective/collective_manager.cc:831] AssignLocalRank] The env 'DEVICE_ID' assigned for this process is: 2 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.522.281 [mindspore/core/include/utils/device_manager_conf.h:45] distributed_refresh_device_id] Refresh device id to 0 for distributed. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.522.327 [mindspore/ccsrc/distributed/collective/collective_manager.cc:845] AssignLocalRank] The device_id of ms_context is set to env DEVICE_ID [2]. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:15.522.388 [mindspore/ccsrc/distributed/collective/collective_manager.cc:212] Initialize] [PROF]AssignLocalRank costs 0.92 msec. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.522.551 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:105] Initialize] Start initializing device context. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.522.627 [mindspore/core/utils/ms_context.cc:463] PrintJitLevelAndExecMode] The jit_level is: O0, and enable kernelbykernel executor. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.522.681 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:119] Initialize] The current overflow detection mode is INFNAN. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.522.984 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:106] LoadResManager] HalResManager dlopen ascend lib name: libmindspore_ascend_res_manager.so [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.523.091 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:128] LoadResManager] HalResManager dlopen current device lib name: /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/ascend/libmindspore_ascend_res_manager.so [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.523.434 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:58] InitDevice] Enter SetRtDevice, current initialize device number:0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.679.166 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:105] RegCallback] Register callback thread, stream : 0x2b6f3d40. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.679.280 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:387] CreateDefaultStream] Create ascend default stream, stream id: 0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.681.091 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:105] RegCallback] Register callback thread, stream : 0x2b77c970. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.681.583 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:125] RegCallback] Register callback thread success, stream : 0x2b6f3d40. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.681.910 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:125] RegCallback] Register callback thread success, stream : 0x2b77c970. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.681.970 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:396] CreateDefaultStream] Create ascend communication stream, stream id: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.682.384 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:160] CheckVmmDriverVersion] Driver path is /usr/local/Ascend [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.682.518 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:189] CheckVmmDriverVersion] Driver version is 25.2.0, major version is 25 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.682.585 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:115] IsVmmEnabled] VMM is enabled. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.682.635 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_memory_adapter.cc:113] Initialize] Config huge_page_reserve_size : 0, device_hbm_huge_page_reserved_size_ : 0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.683.300 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:60] AscendVmmAdapter] VMM align size is 2097152 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.683.422 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_memory_adapter.cc:183] Initialize] Device MOC Size:62420M, Device free MOC Size:62091M, Reserved MOC size for Other Components(HCCL/rts/etc.):3891M, Recommend Reserved MOC size for Other Components:3880M, User define MindSpore MOC Size:0G, MindSpore Used MOC Size:58200M. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.683.487 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_dynamic_mem_adapter.cc:81] Initialize] Ascend Memory Adapter initialize success, Memory Statistics: Device MOC memory size: 62420M MindSpore Used memory size: 58200M Used peak memory usage (without fragments): 0M Actual peak memory usage (with fragments): 0M [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:15.683.581 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_memory_pool.cc:185] DefaultEnhancedAscendMemoryPool] DefaultEnhancedAscendMemoryPool constructed. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:15.683.670 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:429] Initialize] Skip initialization of memory pool since init size is not configured. [INFO] PROFILER(1384462,ffff943eeec0,python):2025-07-15-11:45:15.684.435 [mindspore/ccsrc/debug/profiler/mstx/mstx_symbol.cc:65] LoadMstxApiSymbol] Load mstx api success! [INFO] UTILS(1384462,ffff943eeec0,python):2025-07-15-11:45:15.684.721 [mindspore/ccsrc/utils/offload_context.cc:86] enable_aio] On ascend devices, enable aio and enable pinned mem cannot be turned on at the same time. [INFO] UTILS(1384462,ffff943eeec0,python):2025-07-15-11:45:15.684.809 [mindspore/ccsrc/utils/utils.cc:400] GetSystemFreeDiskSize] Failed to get disk directory ./offload/ size, check whether the directory is created. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.702.639 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:105] RegCallback] Register callback thread, stream : 0x36682890. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.702.772 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:387] CreateDefaultStream] Create ascend default stream, stream id: 0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.704.471 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:105] RegCallback] Register callback thread, stream : 0x36709dd0. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.704.932 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:125] RegCallback] Register callback thread success, stream : 0x36682890. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.705.154 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:125] RegCallback] Register callback thread success, stream : 0x36709dd0. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.705.221 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:396] CreateDefaultStream] Create ascend communication stream, stream id: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.705.479 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:160] CheckVmmDriverVersion] Driver path is /usr/local/Ascend [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.705.561 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:189] CheckVmmDriverVersion] Driver version is 25.2.0, major version is 25 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.705.611 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:115] IsVmmEnabled] VMM is enabled. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.705.668 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_memory_adapter.cc:113] Initialize] Config huge_page_reserve_size : 0, device_hbm_huge_page_reserved_size_ : 0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.706.256 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:60] AscendVmmAdapter] VMM align size is 2097152 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.706.379 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_memory_adapter.cc:183] Initialize] Device MOC Size:62420M, Device free MOC Size:62091M, Reserved MOC size for Other Components(HCCL/rts/etc.):3891M, Recommend Reserved MOC size for Other Components:3880M, User define MindSpore MOC Size:0G, MindSpore Used MOC Size:58200M. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.706.471 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_dynamic_mem_adapter.cc:81] Initialize] Ascend Memory Adapter initialize success, Memory Statistics: Device MOC memory size: 62420M MindSpore Used memory size: 58200M Used peak memory usage (without fragments): 0M Actual peak memory usage (with fragments): 0M [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.706.540 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_memory_pool.cc:185] DefaultEnhancedAscendMemoryPool] DefaultEnhancedAscendMemoryPool constructed. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.706.592 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:429] Initialize] Skip initialization of memory pool since init size is not configured. [INFO] PROFILER(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.707.135 [mindspore/ccsrc/debug/profiler/mstx/mstx_symbol.cc:65] LoadMstxApiSymbol] Load mstx api success! [INFO] UTILS(1384446,ffff9e80eec0,python):2025-07-15-11:45:15.707.343 [mindspore/ccsrc/utils/offload_context.cc:86] enable_aio] On ascend devices, enable aio and enable pinned mem cannot be turned on at the same time. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.754.081 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:105] RegCallback] Register callback thread, stream : 0x164ceb20. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.754.201 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:387] CreateDefaultStream] Create ascend default stream, stream id: 0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.755.985 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:105] RegCallback] Register callback thread, stream : 0x16555f80. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.756.526 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:125] RegCallback] Register callback thread success, stream : 0x164ceb20. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.756.757 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:125] RegCallback] Register callback thread success, stream : 0x16555f80. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.756.808 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:396] CreateDefaultStream] Create ascend communication stream, stream id: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.757.138 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:160] CheckVmmDriverVersion] Driver path is /usr/local/Ascend [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.757.253 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:189] CheckVmmDriverVersion] Driver version is 25.2.0, major version is 25 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.757.308 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:115] IsVmmEnabled] VMM is enabled. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.757.360 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_memory_adapter.cc:113] Initialize] Config huge_page_reserve_size : 0, device_hbm_huge_page_reserved_size_ : 0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.758.006 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.h:60] AscendVmmAdapter] VMM align size is 2097152 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.758.108 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_memory_adapter.cc:183] Initialize] Device MOC Size:62420M, Device free MOC Size:62089M, Reserved MOC size for Other Components(HCCL/rts/etc.):3891M, Recommend Reserved MOC size for Other Components:3880M, User define MindSpore MOC Size:0G, MindSpore Used MOC Size:58198M. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.758.163 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_dynamic_mem_adapter.cc:81] Initialize] Ascend Memory Adapter initialize success, Memory Statistics: Device MOC memory size: 62420M MindSpore Used memory size: 58198M Used peak memory usage (without fragments): 0M Actual peak memory usage (with fragments): 0M [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:15.758.250 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_memory_pool.cc:185] DefaultEnhancedAscendMemoryPool] DefaultEnhancedAscendMemoryPool constructed. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:15.758.331 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:429] Initialize] Skip initialization of memory pool since init size is not configured. [INFO] PROFILER(1384455,ffffae59eec0,python):2025-07-15-11:45:15.759.391 [mindspore/ccsrc/debug/profiler/mstx/mstx_symbol.cc:65] LoadMstxApiSymbol] Load mstx api success! [INFO] UTILS(1384455,ffffae59eec0,python):2025-07-15-11:45:15.759.700 [mindspore/ccsrc/utils/offload_context.cc:86] enable_aio] On ascend devices, enable aio and enable pinned mem cannot be turned on at the same time. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.533.181 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:208] InitializeAcl] Call aclInit successfully, json is {"dump":{"dump_scene":"lite_exception"},"err_msg_mode":"1"} [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.533.477 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_deprecated_interface.cc:82] OpenTsd] Device id = 0, rank size = 4. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.533.665 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel _npu_log begins the construction process witch capacity 128 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.538.237 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_tensor_dump begins the construction process witch capacity 128 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.539.008 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_tensor_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.539.603 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_image_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.540.107 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_scalar_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.540.632 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_histogram_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.541.127 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:146] Initialize] End initializing device context. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.541.338 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:671] LoadCollectiveCommLib] Loading MACCL collective library successfully. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.541.395 [mindspore/ccsrc/distributed/collective/collective_manager.cc:633] InitDeviceCommLib] Start initializing communication library on device side... [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.541.474 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.541.589 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] HCCL_ADPT(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.541.757 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:259] InitHccl] Start init hccl adapter. [INFO] HCCL_ADPT(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.542.033 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:552] InitKernelInfoStore] Start init hccl kernel info store. [INFO] HCCL_ADPT(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.542.133 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:569] InitKernelInfoStore] Get builder ops_kernel_info_hccl [INFO] HCCL_ADPT(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.542.624 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:591] InitKernelInfoStore] Init hccl kernel info store success. [INFO] HCCL_ADPT(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.542.731 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:787] InitHcclExec] Start init hccl exec. [INFO] HCCL_ADPT(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.546.766 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:793] InitHcclExec] Hcom DynamicKernel Initialize success [INFO] HCCL_ADPT(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.546.897 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:799] InitHcclExec] InitHcclExec success [INFO] HCCL_ADPT(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.546.936 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:277] InitHccl] Init hccl adapter success. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.546.993 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_collective_comm_lib.cc:100] Initialize] Successfully initialize HCCL. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.547.037 [mindspore/ccsrc/distributed/collective/collective_manager.cc:640] InitDeviceCommLib] Communication library on device side is successfully initialized. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.547.127 [mindspore/ccsrc/distributed/collective/collective_manager.cc:217] Initialize] [PROF]InitDeviceBackend costs 2070.99 msec. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.547.198 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1071] IsAsyncInitGlobalComm] Async initialize global comm: 0. async_conf: 1, is_graph: 1, use_rank_table: 1, simulation: 0, use_mpi: 0, is_ascend: 1 [WARNING] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.547.290 [mindspore/ccsrc/distributed/collective/collective_manager.cc:341] CreateCommunicationGroup] Start to create communication group: hccl_world_group [const vector]{0, 1, 2, 3}, async: 0, submit_now: 1 [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.547.433 [mindspore/ccsrc/distributed/collective/collective_manager.cc:373] CreateCommunicationGroup] [PROF]CreateCommunicationGroupOnHostSide costs 0.05 msec. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.547.564 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.547.700 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.547.832 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_collective_comm_lib.cc:183] CreateCommunicationGroup] Successfully create HCCL communication group hccl_world_group [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.547.943 [mindspore/ccsrc/distributed/collective/collective_manager.cc:380] CreateCommunicationGroup] [PROF]CreateCommunicationGroupOnDeviceSide costs 0.423 msec. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.548.358 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1130] SubmitCreateDeviceCommTask] Launch init comm thread. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:17.548.468 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1136] SubmitCreateDeviceCommTask] Submit init communicator task for hccl_world_group. Call 'WaitCommInitDone' later to wait initialization to be done. [INFO] DISTRIBUTED(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.548.597 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1184] RunInitCommTasks] Create device communicator in thread for group: hccl_world_group [INFO] DISTRIBUTED(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.548.662 [mindspore/ccsrc/distributed/collective/collective_manager.cc:965] CreateDeviceCommunicator] Create device communicator for hccl_world_group [INFO] DISTRIBUTED(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.548.733 [mindspore/ccsrc/distributed/collective/collective_manager.cc:927] SetGlobalCommInfo] Begin set global communication info: hccl_world_group [WARNING] DEVICE(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.548.810 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:254] SetGlobalCommInfo] Start to SetGlobalCommInfo for hccl_world_group, master_ip:2130706433, master_port:10969, node_rank:2130706433, total_rank_size:4, local_rank_size4 [WARNING] HCCL_ADPT(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.548.909 [mindspore/ccsrc/utils/dlopen_macro.h:165] DlsymAscend] Dynamically load symbol HcclSetGlobalCommInfo failed, result = /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/communication/../lib/plugin/ascend/libhccl_plugin.so: undefined symbol: HcclSetGlobalCommInfo [WARNING] HCCL_ADPT(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.548.963 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:635] HcclSetGlobalCommInfo] Func HcclSetGlobalCommInfo is not supported in CANN package. [INFO] DEVICE(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.549.002 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:260] SetGlobalCommInfo] HcclSetGlobalCommInfo is not supported. [WARNING] DEVICE(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.549.041 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:265] SetGlobalCommInfo] End to SetGlobalCommInfo for hccl_world_group [INFO] DEVICE(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.549.085 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_communication_group.cc:113] SetGlobalCommInfo] Successfully SetGlobalCommInfo for HCCL group hccl_world_group [INFO] DISTRIBUTED(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.549.127 [mindspore/ccsrc/distributed/collective/collective_manager.cc:960] SetGlobalCommInfo] End set global communication info: hccl_world_group [WARNING] DISTRIBUTED(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.549.175 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1021] CreateDeviceCommunicator] Begin initialize communication group on the device side: hccl_world_group [INFO] DISTRIBUTED(1384446,fffe9bffefa0,python):2025-07-15-11:45:17.549.226 [mindspore/ccsrc/distributed/collective/collective_manager.cc:901] GetCommunicatorInitTimeout] HCCL_CONNECT_TIMEOUT is 600 seconds. [INFO] CORE(1384446,fffe9b7eefa0,python):2025-07-15-11:45:17.549.627 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,fffe9b7eefa0,python):2025-07-15-11:45:17.549.819 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [WARNING] DEVICE(1384446,fffe9b7eefa0,python):2025-07-15-11:45:17.550.030 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:192] InitByRankTable] Start to initialize communicator by HcclCommInitClusterInfoConfig for hccl_world_group, hcclBufferSize is 200 MB. hcclDeterministic is 0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.678.162 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:208] InitializeAcl] Call aclInit successfully, json is {"dump":{"dump_scene":"lite_exception"},"err_msg_mode":"1"} [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.678.620 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_deprecated_interface.cc:82] OpenTsd] Device id = 3, rank size = 4. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.678.826 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel _npu_log begins the construction process witch capacity 128 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.683.625 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_tensor_dump begins the construction process witch capacity 128 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.684.329 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_tensor_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.684.906 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_image_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.685.386 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_scalar_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.685.883 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_histogram_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.686.394 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:146] Initialize] End initializing device context. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.686.684 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:671] LoadCollectiveCommLib] Loading MACCL collective library successfully. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:17.686.737 [mindspore/ccsrc/distributed/collective/collective_manager.cc:633] InitDeviceCommLib] Start initializing communication library on device side... [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.686.813 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.686.933 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] HCCL_ADPT(1384462,ffff943eeec0,python):2025-07-15-11:45:17.687.095 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:259] InitHccl] Start init hccl adapter. [INFO] HCCL_ADPT(1384462,ffff943eeec0,python):2025-07-15-11:45:17.687.477 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:552] InitKernelInfoStore] Start init hccl kernel info store. [INFO] HCCL_ADPT(1384462,ffff943eeec0,python):2025-07-15-11:45:17.687.604 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:569] InitKernelInfoStore] Get builder ops_kernel_info_hccl [INFO] HCCL_ADPT(1384462,ffff943eeec0,python):2025-07-15-11:45:17.688.226 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:591] InitKernelInfoStore] Init hccl kernel info store success. [INFO] HCCL_ADPT(1384462,ffff943eeec0,python):2025-07-15-11:45:17.688.306 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:787] InitHcclExec] Start init hccl exec. [INFO] HCCL_ADPT(1384462,ffff943eeec0,python):2025-07-15-11:45:17.692.869 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:793] InitHcclExec] Hcom DynamicKernel Initialize success [INFO] HCCL_ADPT(1384462,ffff943eeec0,python):2025-07-15-11:45:17.692.986 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:799] InitHcclExec] InitHcclExec success [INFO] HCCL_ADPT(1384462,ffff943eeec0,python):2025-07-15-11:45:17.693.018 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:277] InitHccl] Init hccl adapter success. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.693.129 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_collective_comm_lib.cc:100] Initialize] Successfully initialize HCCL. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:17.693.203 [mindspore/ccsrc/distributed/collective/collective_manager.cc:640] InitDeviceCommLib] Communication library on device side is successfully initialized. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:17.693.312 [mindspore/ccsrc/distributed/collective/collective_manager.cc:217] Initialize] [PROF]InitDeviceBackend costs 2311.92 msec. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:17.693.384 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1071] IsAsyncInitGlobalComm] Async initialize global comm: 0. async_conf: 1, is_graph: 1, use_rank_table: 1, simulation: 0, use_mpi: 0, is_ascend: 1 [WARNING] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:17.693.473 [mindspore/ccsrc/distributed/collective/collective_manager.cc:341] CreateCommunicationGroup] Start to create communication group: hccl_world_group [const vector]{0, 1, 2, 3}, async: 0, submit_now: 1 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:17.693.595 [mindspore/ccsrc/distributed/collective/collective_manager.cc:373] CreateCommunicationGroup] [PROF]CreateCommunicationGroupOnHostSide costs 0.05 msec. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.693.693 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.693.810 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:17.693.921 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_collective_comm_lib.cc:183] CreateCommunicationGroup] Successfully create HCCL communication group hccl_world_group [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:17.693.982 [mindspore/ccsrc/distributed/collective/collective_manager.cc:380] CreateCommunicationGroup] [PROF]CreateCommunicationGroupOnDeviceSide costs 0.335 msec. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:17.694.242 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1130] SubmitCreateDeviceCommTask] Launch init comm thread. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:17.694.310 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1136] SubmitCreateDeviceCommTask] Submit init communicator task for hccl_world_group. Call 'WaitCommInitDone' later to wait initialization to be done. [INFO] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:17.694.473 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1184] RunInitCommTasks] Create device communicator in thread for group: hccl_world_group [INFO] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:17.694.564 [mindspore/ccsrc/distributed/collective/collective_manager.cc:965] CreateDeviceCommunicator] Create device communicator for hccl_world_group [INFO] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:17.694.635 [mindspore/ccsrc/distributed/collective/collective_manager.cc:927] SetGlobalCommInfo] Begin set global communication info: hccl_world_group [WARNING] DEVICE(1384462,fffed62eefa0,python):2025-07-15-11:45:17.694.709 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:254] SetGlobalCommInfo] Start to SetGlobalCommInfo for hccl_world_group, master_ip:2130706433, master_port:10969, node_rank:2130706433, total_rank_size:4, local_rank_size4 [WARNING] HCCL_ADPT(1384462,fffed62eefa0,python):2025-07-15-11:45:17.694.814 [mindspore/ccsrc/utils/dlopen_macro.h:165] DlsymAscend] Dynamically load symbol HcclSetGlobalCommInfo failed, result = /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/communication/../lib/plugin/ascend/libhccl_plugin.so: undefined symbol: HcclSetGlobalCommInfo [WARNING] HCCL_ADPT(1384462,fffed62eefa0,python):2025-07-15-11:45:17.694.853 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:635] HcclSetGlobalCommInfo] Func HcclSetGlobalCommInfo is not supported in CANN package. [INFO] DEVICE(1384462,fffed62eefa0,python):2025-07-15-11:45:17.694.910 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:260] SetGlobalCommInfo] HcclSetGlobalCommInfo is not supported. [WARNING] DEVICE(1384462,fffed62eefa0,python):2025-07-15-11:45:17.694.945 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:265] SetGlobalCommInfo] End to SetGlobalCommInfo for hccl_world_group [INFO] DEVICE(1384462,fffed62eefa0,python):2025-07-15-11:45:17.694.981 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_communication_group.cc:113] SetGlobalCommInfo] Successfully SetGlobalCommInfo for HCCL group hccl_world_group [INFO] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:17.695.015 [mindspore/ccsrc/distributed/collective/collective_manager.cc:960] SetGlobalCommInfo] End set global communication info: hccl_world_group [WARNING] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:17.695.057 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1021] CreateDeviceCommunicator] Begin initialize communication group on the device side: hccl_world_group [INFO] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:17.695.098 [mindspore/ccsrc/distributed/collective/collective_manager.cc:901] GetCommunicatorInitTimeout] HCCL_CONNECT_TIMEOUT is 600 seconds. [INFO] CORE(1384462,fffed5adefa0,python):2025-07-15-11:45:17.695.460 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,fffed5adefa0,python):2025-07-15-11:45:17.695.626 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [WARNING] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:17.695.796 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:192] InitByRankTable] Start to initialize communicator by HcclCommInitClusterInfoConfig for hccl_world_group, hcclBufferSize is 200 MB. hcclDeterministic is 0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.729.993 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:208] InitializeAcl] Call aclInit successfully, json is {"dump":{"dump_scene":"lite_exception"},"err_msg_mode":"1"} [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.730.283 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_deprecated_interface.cc:82] OpenTsd] Device id = 2, rank size = 4. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.730.552 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel _npu_log begins the construction process witch capacity 128 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.735.404 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_tensor_dump begins the construction process witch capacity 128 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.736.076 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_tensor_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.736.649 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_image_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.737.189 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_scalar_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.737.674 [mindspore/ccsrc/plugin/res_manager/ascend/mbuf_manager/mbuf_receive_manager.cc:308] MbufDataHandler] Channel ms_histogram_summary begins the construction process witch capacity 128 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.738.157 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:146] Initialize] End initializing device context. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.738.321 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:671] LoadCollectiveCommLib] Loading MACCL collective library successfully. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:17.738.366 [mindspore/ccsrc/distributed/collective/collective_manager.cc:633] InitDeviceCommLib] Start initializing communication library on device side... [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.738.465 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.738.575 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] HCCL_ADPT(1384455,ffffae59eec0,python):2025-07-15-11:45:17.738.747 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:259] InitHccl] Start init hccl adapter. [INFO] HCCL_ADPT(1384455,ffffae59eec0,python):2025-07-15-11:45:17.739.045 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:552] InitKernelInfoStore] Start init hccl kernel info store. [INFO] HCCL_ADPT(1384455,ffffae59eec0,python):2025-07-15-11:45:17.739.140 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:569] InitKernelInfoStore] Get builder ops_kernel_info_hccl [INFO] HCCL_ADPT(1384455,ffffae59eec0,python):2025-07-15-11:45:17.739.616 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:591] InitKernelInfoStore] Init hccl kernel info store success. [INFO] HCCL_ADPT(1384455,ffffae59eec0,python):2025-07-15-11:45:17.739.704 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:787] InitHcclExec] Start init hccl exec. [INFO] HCCL_ADPT(1384455,ffffae59eec0,python):2025-07-15-11:45:17.743.612 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:793] InitHcclExec] Hcom DynamicKernel Initialize success [INFO] HCCL_ADPT(1384455,ffffae59eec0,python):2025-07-15-11:45:17.743.731 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:799] InitHcclExec] InitHcclExec success [INFO] HCCL_ADPT(1384455,ffffae59eec0,python):2025-07-15-11:45:17.743.763 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:277] InitHccl] Init hccl adapter success. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.743.815 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_collective_comm_lib.cc:100] Initialize] Successfully initialize HCCL. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:17.743.863 [mindspore/ccsrc/distributed/collective/collective_manager.cc:640] InitDeviceCommLib] Communication library on device side is successfully initialized. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:17.743.936 [mindspore/ccsrc/distributed/collective/collective_manager.cc:217] Initialize] [PROF]InitDeviceBackend costs 2221.47 msec. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:17.743.998 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1071] IsAsyncInitGlobalComm] Async initialize global comm: 0. async_conf: 1, is_graph: 1, use_rank_table: 1, simulation: 0, use_mpi: 0, is_ascend: 1 [WARNING] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:17.744.058 [mindspore/ccsrc/distributed/collective/collective_manager.cc:341] CreateCommunicationGroup] Start to create communication group: hccl_world_group [const vector]{0, 1, 2, 3}, async: 0, submit_now: 1 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:17.744.151 [mindspore/ccsrc/distributed/collective/collective_manager.cc:373] CreateCommunicationGroup] [PROF]CreateCommunicationGroupOnHostSide costs 0.024 msec. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.744.262 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.744.392 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:17.744.505 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_collective_comm_lib.cc:183] CreateCommunicationGroup] Successfully create HCCL communication group hccl_world_group [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:17.744.573 [mindspore/ccsrc/distributed/collective/collective_manager.cc:380] CreateCommunicationGroup] [PROF]CreateCommunicationGroupOnDeviceSide costs 0.366 msec. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:17.744.935 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1130] SubmitCreateDeviceCommTask] Launch init comm thread. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:17.745.017 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1136] SubmitCreateDeviceCommTask] Submit init communicator task for hccl_world_group. Call 'WaitCommInitDone' later to wait initialization to be done. [INFO] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.144 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1184] RunInitCommTasks] Create device communicator in thread for group: hccl_world_group [INFO] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.189 [mindspore/ccsrc/distributed/collective/collective_manager.cc:965] CreateDeviceCommunicator] Create device communicator for hccl_world_group [INFO] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.257 [mindspore/ccsrc/distributed/collective/collective_manager.cc:927] SetGlobalCommInfo] Begin set global communication info: hccl_world_group [WARNING] DEVICE(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.331 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:254] SetGlobalCommInfo] Start to SetGlobalCommInfo for hccl_world_group, master_ip:2130706433, master_port:10969, node_rank:2130706433, total_rank_size:4, local_rank_size4 [WARNING] HCCL_ADPT(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.433 [mindspore/ccsrc/utils/dlopen_macro.h:165] DlsymAscend] Dynamically load symbol HcclSetGlobalCommInfo failed, result = /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/communication/../lib/plugin/ascend/libhccl_plugin.so: undefined symbol: HcclSetGlobalCommInfo [WARNING] HCCL_ADPT(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.477 [mindspore/ccsrc/plugin/res_manager/ascend/hccl_adapter/hccl_adapter.cc:635] HcclSetGlobalCommInfo] Func HcclSetGlobalCommInfo is not supported in CANN package. [INFO] DEVICE(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.509 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:260] SetGlobalCommInfo] HcclSetGlobalCommInfo is not supported. [WARNING] DEVICE(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.558 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:265] SetGlobalCommInfo] End to SetGlobalCommInfo for hccl_world_group [INFO] DEVICE(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.595 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_communication_group.cc:113] SetGlobalCommInfo] Successfully SetGlobalCommInfo for HCCL group hccl_world_group [INFO] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.640 [mindspore/ccsrc/distributed/collective/collective_manager.cc:960] SetGlobalCommInfo] End set global communication info: hccl_world_group [WARNING] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.678 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1021] CreateDeviceCommunicator] Begin initialize communication group on the device side: hccl_world_group [INFO] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:17.745.719 [mindspore/ccsrc/distributed/collective/collective_manager.cc:901] GetCommunicatorInitTimeout] HCCL_CONNECT_TIMEOUT is 600 seconds. [INFO] CORE(1384455,fffeab7eefa0,python):2025-07-15-11:45:17.746.041 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,fffeab7eefa0,python):2025-07-15-11:45:17.746.186 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [WARNING] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:17.746.335 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:192] InitByRankTable] Start to initialize communicator by HcclCommInitClusterInfoConfig for hccl_world_group, hcclBufferSize is 200 MB. hcclDeterministic is 0 [WARNING] DEVICE(1384446,fffe9b7eefa0,python):2025-07-15-11:45:18.338.013 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:202] InitByRankTable] End to initialize communicator by HcclCommInitClusterInfoConfig for hccl_world_group [INFO] DEVICE(1384446,fffe9b7eefa0,python):2025-07-15-11:45:18.338.153 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:96] Initialize] Start initializing hccl watchdog on device side for group: hccl_world_group, rank: 3 [INFO] DEVICE(1384446,fffe9b7eefa0,python):2025-07-15-11:45:18.338.195 [mindspore/ccsrc/plugin/res_manager/ascend/collective/hccl_watch_dog_thread.cc:77] Initialize] Initialize hccl watch dog handler. rank id: 3, group name: hccl_world_group [INFO] DEVICE(1384446,fffe9b7eefa0,python):2025-07-15-11:45:18.338.475 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:101] Initialize] hccl watchdog on device side is successfully initialized. [WARNING] DISTRIBUTED(1384446,fffe9b7eefa0,python):2025-07-15-11:45:18.338.539 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1226] CacheInitedGroups] Cache inited group: hccl_world_group [WARNING] DISTRIBUTED(1384446,fffe9b7eefa0,python):2025-07-15-11:45:18.338.583 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1229] CacheInitedGroups] Cache inited group: hccl_world_group end. [INFO] DEVICE(1384446,fffe9b7eefa0,python):2025-07-15-11:45:18.338.643 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_communication_group.cc:59] Initialize] Successfully initialize HCCL group hccl_world_group [INFO] DEVICE(1384446,fffe9afdefa0,python):2025-07-15-11:45:18.338.706 [mindspore/ccsrc/plugin/res_manager/ascend/collective/hccl_watch_dog_thread.cc:147] WatchDogProcess] WatchDogProcess start, rank id: 3, group name: hccl_world_group [INFO] DISTRIBUTED(1384446,fffe9bffefa0,python):2025-07-15-11:45:18.338.811 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1028] CreateDeviceCommunicator] [PROF]InitDeviceCommunicator costs 789.448 msec. [WARNING] DISTRIBUTED(1384446,fffe9bffefa0,python):2025-07-15-11:45:18.338.878 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1032] CreateDeviceCommunicator] End initialize communication group on the device side: hccl_world_group [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.338.959 [mindspore/ccsrc/distributed/collective/collective_manager.cc:410] CreateCommunicationGroup] [PROF]distributed_create_group costs 791.663 msec. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.339.007 [mindspore/ccsrc/distributed/collective/collective_manager.cc:231] Initialize] [PROF]CreateGlobalCommunicationGroup costs 791.722 msec. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.339.043 [mindspore/ccsrc/distributed/collective/collective_manager.cc:234] Initialize] End initializing collective communication for backend: Ascend [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.339.106 [mindspore/ccsrc/distributed/init.cc:62] Initialize] [PROF]distributed_collective_init costs 2865.31 msec. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.339.190 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:177] RecordInitStatus] Status record: system init. [INFO] COMMON(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.344.758 [mindspore/ccsrc/common/thread_pool.cc:41] ThreadPool] Set max_thread_num_ to 4 [WARNING] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:18.378.283 [mindspore/parallel/_utils.py:516] You are suggested to use mindspore.context.set_auto_parallel_context(parameter_broadcast=True) or mindspore.common.set_seed() to share parameters among multi-devices. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.389.255 [mindspore/ccsrc/minddata/dataset/util/task_manager.cc:165] DoServiceStart] Starting Task Manager. [INFO] MD(1384446,fffe98f9efa0,python):2025-07-15-11:45:18.389.826 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::Watchdog]: Core binding is not enabled. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.390.978 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.391.053 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.391.820 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:18.392.603 [mindspore/train/model.py:768] Begin to create DatasetHelper. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.014 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.295 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.345 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.396 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.459 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.608 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.659 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.691 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.732 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.807 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.896 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.930 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.395.974 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.396.056 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.396.769 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:18.396.842 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [WARNING] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.491.811 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:202] InitByRankTable] End to initialize communicator by HcclCommInitClusterInfoConfig for hccl_world_group [INFO] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.491.945 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:96] Initialize] Start initializing hccl watchdog on device side for group: hccl_world_group, rank: 1 [INFO] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.491.990 [mindspore/ccsrc/plugin/res_manager/ascend/collective/hccl_watch_dog_thread.cc:77] Initialize] Initialize hccl watch dog handler. rank id: 1, group name: hccl_world_group [INFO] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.492.261 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:101] Initialize] hccl watchdog on device side is successfully initialized. [WARNING] DISTRIBUTED(1384462,fffed5adefa0,python):2025-07-15-11:45:18.492.363 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1226] CacheInitedGroups] Cache inited group: hccl_world_group [WARNING] DISTRIBUTED(1384462,fffed5adefa0,python):2025-07-15-11:45:18.492.409 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1229] CacheInitedGroups] Cache inited group: hccl_world_group end. [INFO] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.492.480 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_communication_group.cc:59] Initialize] Successfully initialize HCCL group hccl_world_group [INFO] DEVICE(1384462,fffed52cefa0,python):2025-07-15-11:45:18.492.527 [mindspore/ccsrc/plugin/res_manager/ascend/collective/hccl_watch_dog_thread.cc:147] WatchDogProcess] WatchDogProcess start, rank id: 1, group name: hccl_world_group [INFO] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:18.492.783 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1028] CreateDeviceCommunicator] [PROF]InitDeviceCommunicator costs 797.5 msec. [WARNING] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:18.492.878 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1032] CreateDeviceCommunicator] End initialize communication group on the device side: hccl_world_group [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:18.493.062 [mindspore/ccsrc/distributed/collective/collective_manager.cc:410] CreateCommunicationGroup] [PROF]distributed_create_group costs 799.522 msec. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:18.493.144 [mindspore/ccsrc/distributed/collective/collective_manager.cc:231] Initialize] [PROF]CreateGlobalCommunicationGroup costs 799.685 msec. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:18.493.179 [mindspore/ccsrc/distributed/collective/collective_manager.cc:234] Initialize] End initializing collective communication for backend: Ascend [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:18.494.740 [mindspore/ccsrc/distributed/init.cc:62] Initialize] [PROF]distributed_collective_init costs 3115.01 msec. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:18.494.934 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:177] RecordInitStatus] Status record: system init. [WARNING] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:18.511.700 [mindspore/ccsrc/distributed/collective/collective_manager.cc:341] CreateCommunicationGroup] Start to create communication group: hccl_sub_group [const vector]{0, 1}, async: 0, submit_now: 1 [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:18.511.918 [mindspore/ccsrc/distributed/collective/collective_manager.cc:373] CreateCommunicationGroup] [PROF]CreateCommunicationGroupOnHostSide costs 0.019 msec. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:18.511.997 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:18.512.111 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:18.512.207 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_collective_comm_lib.cc:183] CreateCommunicationGroup] Successfully create HCCL communication group hccl_sub_group [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:18.512.268 [mindspore/ccsrc/distributed/collective/collective_manager.cc:380] CreateCommunicationGroup] [PROF]CreateCommunicationGroupOnDeviceSide costs 0.29 msec. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:18.512.330 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1136] SubmitCreateDeviceCommTask] Submit init communicator task for hccl_sub_group. Call 'WaitCommInitDone' later to wait initialization to be done. [INFO] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:18.512.498 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1184] RunInitCommTasks] Create device communicator in thread for group: hccl_sub_group [INFO] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:18.512.597 [mindspore/ccsrc/distributed/collective/collective_manager.cc:965] CreateDeviceCommunicator] Create device communicator for hccl_sub_group [WARNING] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:18.512.712 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1021] CreateDeviceCommunicator] Begin initialize communication group on the device side: hccl_sub_group [INFO] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:18.512.755 [mindspore/ccsrc/distributed/collective/collective_manager.cc:901] GetCommunicatorInitTimeout] HCCL_CONNECT_TIMEOUT is 600 seconds. [INFO] CORE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.513.225 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.513.465 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [WARNING] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.513.666 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:205] InitByRankTable] Start to initialize communicator by HcclCreateSubCommConfig for hccl_sub_group, hcclBufferSize is 200 MB. hcclDeterministic is 0 [WARNING] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.522.811 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:221] InitByRankTable] End to initialize communicator by HcclCreateSubCommConfig for hccl_sub_group [INFO] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.522.967 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:96] Initialize] Start initializing hccl watchdog on device side for group: hccl_sub_group, rank: 1 [INFO] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.523.010 [mindspore/ccsrc/plugin/res_manager/ascend/collective/hccl_watch_dog_thread.cc:77] Initialize] Initialize hccl watch dog handler. rank id: 1, group name: hccl_sub_group [INFO] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.523.295 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:101] Initialize] hccl watchdog on device side is successfully initialized. [WARNING] DISTRIBUTED(1384462,fffed5adefa0,python):2025-07-15-11:45:18.523.353 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1226] CacheInitedGroups] Cache inited group: hccl_sub_group [WARNING] DISTRIBUTED(1384462,fffed5adefa0,python):2025-07-15-11:45:18.523.399 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1229] CacheInitedGroups] Cache inited group: hccl_sub_group end. [INFO] DEVICE(1384462,fffed5adefa0,python):2025-07-15-11:45:18.523.469 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_communication_group.cc:59] Initialize] Successfully initialize HCCL group hccl_sub_group [INFO] DEVICE(1384462,fffed4abefa0,python):2025-07-15-11:45:18.523.542 [mindspore/ccsrc/plugin/res_manager/ascend/collective/hccl_watch_dog_thread.cc:147] WatchDogProcess] WatchDogProcess start, rank id: 1, group name: hccl_sub_group [INFO] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:18.523.682 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1028] CreateDeviceCommunicator] [PROF]InitDeviceCommunicator costs 10.77 msec. [WARNING] DISTRIBUTED(1384462,fffed62eefa0,python):2025-07-15-11:45:18.523.766 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1032] CreateDeviceCommunicator] End initialize communication group on the device side: hccl_sub_group [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:18.523.904 [mindspore/ccsrc/distributed/collective/collective_manager.cc:410] CreateCommunicationGroup] [PROF]distributed_create_group costs 12.295 msec. [INFO] COMMON(1384462,ffff943eeec0,python):2025-07-15-11:45:18.552.760 [mindspore/ccsrc/common/thread_pool.cc:41] ThreadPool] Set max_thread_num_ to 4 [WARNING] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.555.586 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:202] InitByRankTable] End to initialize communicator by HcclCommInitClusterInfoConfig for hccl_world_group [INFO] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.555.738 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:96] Initialize] Start initializing hccl watchdog on device side for group: hccl_world_group, rank: 0 [INFO] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.555.783 [mindspore/ccsrc/plugin/res_manager/ascend/collective/hccl_watch_dog_thread.cc:77] Initialize] Initialize hccl watch dog handler. rank id: 0, group name: hccl_world_group [INFO] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.556.012 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:101] Initialize] hccl watchdog on device side is successfully initialized. [WARNING] DISTRIBUTED(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.556.069 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1226] CacheInitedGroups] Cache inited group: hccl_world_group [INFO] DEVICE(1384455,fffeaafdefa0,python):2025-07-15-11:45:18.556.080 [mindspore/ccsrc/plugin/res_manager/ascend/collective/hccl_watch_dog_thread.cc:147] WatchDogProcess] WatchDogProcess start, rank id: 0, group name: hccl_world_group [WARNING] DISTRIBUTED(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.556.113 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1229] CacheInitedGroups] Cache inited group: hccl_world_group end. [INFO] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.556.174 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_communication_group.cc:59] Initialize] Successfully initialize HCCL group hccl_world_group [INFO] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:18.556.343 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1028] CreateDeviceCommunicator] [PROF]InitDeviceCommunicator costs 810.49 msec. [WARNING] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:18.556.450 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1032] CreateDeviceCommunicator] End initialize communication group on the device side: hccl_world_group [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:18.556.548 [mindspore/ccsrc/distributed/collective/collective_manager.cc:410] CreateCommunicationGroup] [PROF]distributed_create_group costs 812.471 msec. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:18.556.597 [mindspore/ccsrc/distributed/collective/collective_manager.cc:231] Initialize] [PROF]CreateGlobalCommunicationGroup costs 812.539 msec. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:18.556.636 [mindspore/ccsrc/distributed/collective/collective_manager.cc:234] Initialize] End initializing collective communication for backend: Ascend [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:18.556.697 [mindspore/ccsrc/distributed/init.cc:62] Initialize] [PROF]distributed_collective_init costs 3036.43 msec. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:18.556.801 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:177] RecordInitStatus] Status record: system init. [WARNING] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:18.559.280 [mindspore/ccsrc/distributed/collective/collective_manager.cc:341] CreateCommunicationGroup] Start to create communication group: hccl_sub_group [const vector]{0, 1}, async: 0, submit_now: 1 [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:18.559.499 [mindspore/ccsrc/distributed/collective/collective_manager.cc:373] CreateCommunicationGroup] [PROF]CreateCommunicationGroupOnHostSide costs 0.017 msec. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:18.559.576 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:18.559.690 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:18.559.787 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_collective_comm_lib.cc:183] CreateCommunicationGroup] Successfully create HCCL communication group hccl_sub_group [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:18.559.855 [mindspore/ccsrc/distributed/collective/collective_manager.cc:380] CreateCommunicationGroup] [PROF]CreateCommunicationGroupOnDeviceSide costs 0.295 msec. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:18.559.918 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1136] SubmitCreateDeviceCommTask] Submit init communicator task for hccl_sub_group. Call 'WaitCommInitDone' later to wait initialization to be done. [INFO] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:18.559.986 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1184] RunInitCommTasks] Create device communicator in thread for group: hccl_sub_group [INFO] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:18.560.022 [mindspore/ccsrc/distributed/collective/collective_manager.cc:965] CreateDeviceCommunicator] Create device communicator for hccl_sub_group [WARNING] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:18.560.073 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1021] CreateDeviceCommunicator] Begin initialize communication group on the device side: hccl_sub_group [INFO] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:18.560.107 [mindspore/ccsrc/distributed/collective/collective_manager.cc:901] GetCommunicatorInitTimeout] HCCL_CONNECT_TIMEOUT is 600 seconds. [INFO] CORE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.560.465 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.560.599 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [WARNING] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.560.765 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:205] InitByRankTable] Start to initialize communicator by HcclCreateSubCommConfig for hccl_sub_group, hcclBufferSize is 200 MB. hcclDeterministic is 0 [WARNING] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.570.148 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:221] InitByRankTable] End to initialize communicator by HcclCreateSubCommConfig for hccl_sub_group [INFO] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.570.267 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:96] Initialize] Start initializing hccl watchdog on device side for group: hccl_sub_group, rank: 0 [INFO] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.570.315 [mindspore/ccsrc/plugin/res_manager/ascend/collective/hccl_watch_dog_thread.cc:77] Initialize] Initialize hccl watch dog handler. rank id: 0, group name: hccl_sub_group [INFO] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.570.544 [mindspore/ccsrc/plugin/res_manager/ascend/collective/ascend_communication_group.cc:101] Initialize] hccl watchdog on device side is successfully initialized. [WARNING] DISTRIBUTED(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.570.598 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1226] CacheInitedGroups] Cache inited group: hccl_sub_group [WARNING] DISTRIBUTED(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.570.640 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1229] CacheInitedGroups] Cache inited group: hccl_sub_group end. [INFO] DEVICE(1384455,fffeaa7cefa0,python):2025-07-15-11:45:18.570.686 [mindspore/ccsrc/plugin/res_manager/ascend/collective/hccl_watch_dog_thread.cc:147] WatchDogProcess] WatchDogProcess start, rank id: 0, group name: hccl_sub_group [INFO] DEVICE(1384455,fffeab7eefa0,python):2025-07-15-11:45:18.570.703 [mindspore/ccsrc/plugin/res_manager/ascend/collective/multi_ascend_communication_group.cc:59] Initialize] Successfully initialize HCCL group hccl_sub_group [INFO] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:18.571.030 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1028] CreateDeviceCommunicator] [PROF]InitDeviceCommunicator costs 10.808 msec. [WARNING] DISTRIBUTED(1384455,fffeabffefa0,python):2025-07-15-11:45:18.571.077 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1032] CreateDeviceCommunicator] End initialize communication group on the device side: hccl_sub_group [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:18.571.175 [mindspore/ccsrc/distributed/collective/collective_manager.cc:410] CreateCommunicationGroup] [PROF]distributed_create_group costs 11.959 msec. [INFO] COMMON(1384455,ffffae59eec0,python):2025-07-15-11:45:18.576.049 [mindspore/ccsrc/common/thread_pool.cc:41] ThreadPool] Set max_thread_num_ to 4 [WARNING] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:18.623.039 [mindspore/parallel/_utils.py:516] You are suggested to use mindspore.context.set_auto_parallel_context(parameter_broadcast=True) or mindspore.common.set_seed() to share parameters among multi-devices. [WARNING] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:18.630.376 [mindspore/parallel/_utils.py:516] You are suggested to use mindspore.context.set_auto_parallel_context(parameter_broadcast=True) or mindspore.common.set_seed() to share parameters among multi-devices. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.636.305 [mindspore/ccsrc/minddata/dataset/util/task_manager.cc:165] DoServiceStart] Starting Task Manager. [INFO] MD(1384455,fffe96ffdfa0,python):2025-07-15-11:45:18.636.949 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::Watchdog]: Core binding is not enabled. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.637.956 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.638.047 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.638.329 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:18.639.466 [mindspore/train/model.py:768] Begin to create DatasetHelper. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.642.389 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.642.750 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.642.806 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.642.868 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.642.941 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.643.119 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.643.182 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.643.219 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.643.269 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.643.318 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.643.413 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.643.473 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.643.524 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.643.616 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.644.395 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:18.644.488 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.662.463 [mindspore/ccsrc/minddata/dataset/util/task_manager.cc:165] DoServiceStart] Starting Task Manager. [INFO] MD(1384462,fffe7d7cdfa0,python):2025-07-15-11:45:18.663.005 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::Watchdog]: Core binding is not enabled. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.664.417 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.664.506 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.664.760 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:18.666.879 [mindspore/train/model.py:768] Begin to create DatasetHelper. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.669.989 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.670.313 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.670.366 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.670.467 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.670.546 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.670.719 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.670.781 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.670.820 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.670.866 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.670.912 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.671.032 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.671.073 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.671.124 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.671.212 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.672.069 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:18.672.146 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.236.852 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.237.014 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.290.760 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.017 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.063 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.135 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.199 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.349 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.408 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.440 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.484 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.527 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.622 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.660 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.711 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.291.797 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.292.397 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:19.292.471 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.576.834 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.577.020 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.627.140 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.627.408 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.627.459 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.627.529 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.627.603 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.627.777 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.627.839 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.627.879 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.627.923 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.627.973 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.628.069 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.628.114 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.628.170 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.628.264 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.628.917 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:19.628.995 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.636.771 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.636.975 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.691.194 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.691.489 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.691.540 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.691.582 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.691.652 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.691.844 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.691.909 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.691.945 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.691.994 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.692.039 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.692.135 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.692.170 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.692.222 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.692.314 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.692.944 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:19.693.027 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.047.503 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.047.705 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.095.805 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.109 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.158 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.201 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.268 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.424 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.486 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.523 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.570 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.613 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.710 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.749 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.801 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.096.893 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.097.483 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:20.203.358 [mindspore/dataset/engine/datasets.py:4358] queue_name is newly generated. value is 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.207.852 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.163 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.221 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.272 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.343 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.509 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.570 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.607 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.654 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.701 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.802 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.890 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.208.945 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.209.042 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.209.654 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.210.105 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:764] InitExecDatasetVm] Start InitDataSet Entry [INFO] DEBUG(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.210.666 [mindspore/ccsrc/common/debug/env_config_parser.cc:152] ParseFromFile] The 'env_config_path' in 'mindspore.context.set_context(env_config_path={path})' is empty. [INFO] VM(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.210.833 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:212] GetOrCreateBackend] The created backend type: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.265.518 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:834] Initialize] The actor thread number: 2, the kernel thread number: 25 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.265.996 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1747] Build] Status record: start compile function graph: _anonymous__1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.266.226 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:700] SetDeterministic] Set kernel deterministic value: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.267.716 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1764] Build] [PROF]InitCommGroup costs 0.144 msec. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.267.843 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1094] WaitAllCommInitDone] All device communictor is initialized. You can launch communication operators after this step. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.267.891 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1768] Build] [PROF]WaitAllCommInit costs 0.071 msec. [INFO] UTILS(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.268.025 [mindspore/ccsrc/utils/anfalgo.cc:2886] IsDynamicGraph] Null abstract of node: ValueNode InitDataSetQueue [INFO] UTILS(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.268.129 [mindspore/ccsrc/utils/anfalgo.cc:2886] IsDynamicGraph] Null abstract of node: @_anonymous__1:CNode_2{[0]: ValueNode Return, [1]: CNode_3} [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.268.200 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:542] IsEnableControlFlowInline] Disable switch inline, executor mode:1 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.268.252 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:372] DoUnifyMindIRPass] Do unify mindir pass for graph _anonymous__1 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.268.325 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_pm_0_erase_invalid_micro_depend in 9.76 us [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.268.542 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:220] EnableKBKCompileCache] Disable backend compile cache by front config. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.268.661 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1791] Build] _anonymous__1, is_dynamic_graph: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.268.786 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:620] BuildSymbolEngine] Status record: skip build symbol engine for function graph: _anonymous__1 [INFO] VM(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.268.877 [mindspore/ccsrc/backend/graph_compiler/graph_partition.cc:854] Partition] GraphPartion Info: _anonymous__1 inline mode:0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.269.021 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:913] CompileGraph] Compile graph: _anonymous__1, Split segments size: 2 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.269.102 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:857] CompileGraphFromSegment] Compile normal segment, the first node: @_anonymous__1:CNode_3{[0]: ValueNode InitDataSetQueue} [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.269.276 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:409] CompileGraph] Status record: start compile graph. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.269.424 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2257] ConstructKernelGraph] Set zero copy flag for graph:kernel_graph0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.269.481 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2260] ConstructKernelGraph] Create graph: 0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.269.772 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:3531] ConstructOutput] Output:@_anonymous__1:CNode_3{[0]: ValueNode InitDataSetQueue} [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.270.049 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.270.241 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:417] CompileGraph] [PROF]ConstructKernelGraph costs 0.865 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.270.316 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:353] RecursiveSetRunMode] Kernel graph: kernel_graph0, set run mode:KernelMode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.270.411 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:188] EliminateIllegalDataTypePass] Start eliminate illegal data type for kernel graph id:0 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.270.544 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_0_convert_list_to_tuple in 17.91 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.270.740 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_1_eliminate_func_type in 131.111 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.270.809 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:201] EliminateIllegalDataTypePass] [PROF]EliminateIllegalDataTypePass costs 0.388 msec. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.270.878 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:148] CommonUnifyMindIR] start common unify mindir opt graph:0 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.270.943 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: conv_transpose_to_conv_backprop_input [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.271.098 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_0_conv_transpose_to_conv_backprop_input in 147.151 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.271.184 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: custom_op_reg_info_to_attr [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.271.274 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_1_custom_op_reg_info_to_attr in 83.98 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.271.330 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Custom not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.271.372 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_2_inplace_assign_for_custom_op in 46.74 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.271.413 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_attr_to_unify_mindir [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.271.532 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_3_convert_attr_to_unify_mindir in 100.321 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.271.607 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:161] CommonUnifyMindIR] [PROF]CommonUnifyMindIR costs 0.714 msec. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.271.685 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:78] BackendCommonOptimization] Status record: start common optimization. graph id: 0 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.271.799 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_dynamic_broadcast_to [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.271.951 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_0_convert_dynamic_broadcast_to in 144.021 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.272.097 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_1_convert_const_input_to_attr in 72.671 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.272.200 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_2_custom_op_const_input_to_attr in 38.251 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.272.329 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_3_convert_const_input_to_tensor_input in 68.311 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.272.426 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_4_convert_const_input_to_tensor_input_for_print in 35.43 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.272.673 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_5_convert_tuple_output_to_maketuple in 176.022 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.272.738 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_6_convert_unused_tuple_para_to_make_tuple in 1.86 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.272.778 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_7_flatten_concat_fission is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.272.913 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_7_flatten_concat_fission in 83.121 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.273.031 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_8_inset_input_structural_for_py_execute in 61.201 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.273.101 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_9_broadcast_to_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.273.217 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_9_broadcast_to_fusion in 64.58 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.273.478 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_10_add_attr_to_node in 186.082 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.273.535 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_11_replace_addn is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.273.670 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_11_replace_addn in 84.53 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.273.749 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:90] BackendCommonOptimization] [PROF]BackendCommonOptimization costs 2.05 msec. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.273.792 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:97] BackendCommonOptimization] Status record: end common optimization. graph id: 0 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.273.916 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:255] OptimizationWithoutBackend] [PROF]OptimizationWithoutBackend costs 3.491 msec. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.274.368 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.274.552 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.275.372 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_0_renorm_split in 147.592 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.275.482 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: reduce_axis_update [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.275.725 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_1_reduce_axis_update in 227.842 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.275.793 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: space_to_batch_nd_attr_update [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.275.892 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_2_space_to_batch_nd_attr_update in 89.691 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.275.946 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: batch_to_space_nd_attr_update [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.024 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_3_batch_to_space_nd_attr_update in 73.361 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.085 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AdamWeightDecay not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.134 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_4_adam_weight_decay_unify_mindir in 55.031 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.239 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_5_add_depend_for_adamw in 22.95 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.307 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SparseSoftmaxCrossEntropyWithLogits not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.353 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_6_pynative_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir_v2 in 62.181 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.396 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SparseSoftmaxCrossEntropyWithLogits not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.441 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_7_pynative_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir in 41.801 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.483 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SparseSoftmaxCrossEntropyWithLogits not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.525 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_8_pynative_sparse_softmax_cross_entropy_with_logits_unify_mindir in 38.98 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.577 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim DropoutExt not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.620 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_9_dropout_ext_unify_mindir1 in 46.8 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.666 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim DropoutGradExt not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.706 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_10_dropoutgrad_ext_unify_mindir in 41.441 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.747 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Dropout not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.794 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_11_dropout_unify_mindir1 in 38.401 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.838 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: dropoutgrad_unify_mindir [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.276.970 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_12_dropoutgrad_unify_mindir in 115.041 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.035 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchange not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.085 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_13_neighbor_exchange_unify_mindir in 50.99 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.131 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2 not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.177 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_14_neighbor_exchange_v2_unify_mindir in 39.48 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.221 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2Grad not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.289 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_15_neighbor_exchange_v2_grad_unify_mindir in 56.201 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.341 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAll not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.389 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_16_all_to_all_unify_mindir in 47.741 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.433 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAllV not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.480 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_17_all_to_all_v_unify_mindir in 42.741 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.539 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.590 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_18_bn_split in 55.51 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.636 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: bn_grad_unify_mindir [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.826 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_19_bn_grad_unify_mindir in 168.101 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.898 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.277.953 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_20_bn_grad_split in 51.921 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.010 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.060 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_21_batchnormgrad_to_bninfergrad in 49.671 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.110 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.153 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_22_batch_norm_grad_infer_fission in 43.69 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.198 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.245 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_23_batchnorm_to_bninfer in 41.9 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.296 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Print not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.340 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_24_print_insert_placeholder_for_tensor_name in 47.58 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.394 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim GetNext not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.503 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_25_getnext_for_ge in 99.131 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.568 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SyncBatchNorm not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.613 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_26_sync_bn_split in 49.28 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.657 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SyncBatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.699 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_27_sync_bn_grad_split in 37.08 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.748 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AvgPoolGrad not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.278.792 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_28_avg_pool_grad_for_ge in 44.65 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.279.028 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_29_add_attr_to_dump in 166.282 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.279.437 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_30_ascend_mindir_op_adapter in 292.722 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.279.521 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.279.657 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission in 81.28 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.279.704 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_1_cdist_fission is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.279.825 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_1_cdist_fission in 73.961 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.279.871 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_2_cdist_grad_fission is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.279.985 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_2_cdist_grad_fission in 67.88 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.029 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion is enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.094 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.204 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.274 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion in 198.412 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.337 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion is enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.390 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.478 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.537 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion in 150.651 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.580 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_5_lamb_fission_ge is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.720 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_5_lamb_fission_ge in 88.721 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.771 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.884 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion in 59.6 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.280.933 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.281.138 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion in 139.641 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.281.197 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.281.356 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion in 102.251 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.281.409 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.281.451 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:270] DefineFlashAttentionPattern] Do FlashAttentionPattern V1. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.281.706 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 in 234.212 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.281.765 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.281.810 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:384] DefineFlashAttentionPattern] Do FlashAttentionPattern V2. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.282.083 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 in 253.862 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.282.187 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.282.402 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion in 150.201 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.282.508 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_12_MatMulAllReduce is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.282.784 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_12_MatMulAllReduce in 204.292 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.282.846 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_13_grouped_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.282.995 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_14_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.041 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_15_MatMulAllReduceAddRmsNorm is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.081 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_16_add_layer_norm_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.117 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_17_add_layer_norm_v3_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.151 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_18_add_layer_norm_ext_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.184 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_19_inference_qbmm_add_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.219 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_20_inference_swiglu_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.256 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_21_inference_swiglu_fusion_v2 is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.291 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_22_inference_matmul_split_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.328 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_23_add_rms_norm_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.366 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_24_swiglu_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.405 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_25_swiglu_reshape_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.443 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_26_add_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.500 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_27_add_cast_rms_norm_cast_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.538 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_28_rms_norm_add_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.573 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_29_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.608 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_30_add_cast_rms_norm_cast_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.646 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_31_shape_reshape is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.283.682 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_32_split_concat_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.140 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_32_split_concat_fusion in 375.613 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.223 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_33_quant_matmul_elemwise_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.264 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_34_matmul_sigmoid_add_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.303 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_35_matmul_sigmoid_cast_add_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.339 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_36_matmul_elemwise_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.378 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_37_qbmm_allreduce_convert_bias is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.416 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.732 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion in 247.503 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.793 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_39_remove_fa_tensor_to_tuple_ops is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.837 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_40_transpose_batch_matmul_transpose_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.877 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_41_moe_init_routing_dyn_quantv2_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.284.938 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.285.085 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion in 91.981 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.285.180 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:243] GEUnifyMindIR] [PROF]GEUnifyMindIR costs 11.077 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.285.791 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.286.055 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:39] MarkRefGraph] Mark graph is ref graph: 0 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.286.415 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unfold_inputs_for_special_nodes_pm_0_ascend_convert_tuple_input_to_dynamic_input in 220.362 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.286.697 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_0_process_call_inline in 74.281 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.286.870 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_1_seed_adapter in 102.751 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.286.976 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_2_insert_tensor_move_for_communication in 46.24 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.287.083 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_3_process partial inline in 53.18 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.287.282 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_4_expander_fallback in 133.421 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.287.406 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_5_convert_pad_v3_paddings in 64.661 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.287.515 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_6_convert_pad_v3_grad_paddings in 48.82 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.287.669 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_7_resize_bilinear_add_attr in 92.581 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.287.742 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_8_backend_custom_depend in 17.09 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.287.814 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:122] GEBackendOptimizeACL] [PROF]GEBackendOptimizeACL costs 1.251 msec. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.287.935 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:97] OptimizeACLGraph] [PROF]OptimizeACLGraph costs 1.879 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.288.105 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.288.310 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.288.432 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.288.560 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.288.659 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.289.062 [mindspore/ccsrc/plugin/device/ascend/kernel/atb/atb_kernel_build.cc:44] GetAtbKernelPLugin] Get so path /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin return 1 [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.360.191 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] InitDataSetQueue is not defined in opdef. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.360.869 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] InitDataSetQueue select aclop kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.052 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:310] SelectKernel] [PROF]SelectKernel costs 73.006 msec. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.105 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:80] InitializeForAclop] Start initializing for acl. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.231 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:1214] InitializeForGe] Start initializing for ge. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.291 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:206] SetHcclOptions] Values for hccl options: env_table_file[rank_table_4p.json], simulation_level[], env_rank_id[3], env_device_id[0], enable_hccl[1], UseDynamicCluster[1]. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.336 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:232] SetHcclOptions] No hccl mode. If use hccl, make sure [RANK_TABLE_FILE,RANK_ID,DEVICE_ID] all be set in ENV. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.371 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:243] GetGeGlobalOptions] Set ge.exec.jobId to default value 0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.404 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:253] GetGeGlobalOptions] Got empty proto lib path, cannot set ge.opsProtoLibPath. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.440 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:168] SetAscendConfig] Set GE topo mode to memory-priority. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.472 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:171] SetAscendConfig] Set staticMemoryPolicy to default mode 2. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.505 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:178] SetAscendConfig] The default value of jit_compile is set to 2. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.536 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:147] SetAscendHF32Config] The default value of allow_matmul_hf32 and allow_conv_hf32 are set by CANN. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.567 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:156] SetAscendHF32Config] allow_matmul_hf32: , allow_conv_hf32: [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:20.361.669 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:276] GetGeGlobalOptions] Set ge::DETERMINISTIC to 0 [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.469.872 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.470.068 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.478.643 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.478.848 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.520.166 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.520.472 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.520.528 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.520.578 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.520.656 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.520.837 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.520.910 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.520.955 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.521.010 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.521.069 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.521.182 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.521.233 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.521.292 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.521.391 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.522.051 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.534.354 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.534.716 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.534.769 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.534.817 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.534.890 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.535.074 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.535.138 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.535.176 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.535.224 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.535.269 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.535.373 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.535.414 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.535.463 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.535.554 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.536.198 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:20.653.057 [mindspore/dataset/engine/datasets.py:4358] queue_name is newly generated. value is 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:20.655.614 [mindspore/dataset/engine/datasets.py:4358] queue_name is newly generated. value is 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.658.083 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.658.409 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.658.485 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.658.534 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.658.614 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.658.788 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.658.850 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.658.888 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.658.935 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.658.981 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.659.076 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.659.119 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.659.168 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.659.254 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:20.659.965 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.660.472 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:764] InitExecDatasetVm] Start InitDataSet Entry [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.660.718 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:143] Compile] Input plan: +-Repeat(count:1) | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.030 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:158] Compile] Plan before PrePass: +-Top | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.081 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:98] PrePass] Prepare PrePass loops. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.129 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.209 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] DEBUG(1384455,ffffae59eec0,python):2025-07-15-11:45:20.661.203 [mindspore/ccsrc/common/debug/env_config_parser.cc:152] ParseFromFile] The 'env_config_path' in 'mindspore.context.set_context(env_config_path={path})' is empty. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.391 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.454 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] VM(1384455,ffffae59eec0,python):2025-07-15-11:45:20.661.441 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:212] GetOrCreateBackend] The created backend type: 0 [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.491 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.540 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.587 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:123] PrePass] PrePass completed. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.683 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:161] Compile] Plan after PrePass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.724 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:131] PostPass] Running repeat pass. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.812 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:135] PostPass] Repeat pass completed. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.661.908 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter_lite.cc:164] Compile] Plan after PostPass: +-Top | +-Batch(batch_size:32 drop_remainder:true) | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:20.662.576 [mindspore/ccsrc/minddata/dataset/engine/python_runtime_context.cc:22] Terminate] Terminating a Dataset PythonRuntime. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.663.224 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:764] InitExecDatasetVm] Start InitDataSet Entry [INFO] DEBUG(1384462,ffff943eeec0,python):2025-07-15-11:45:20.663.987 [mindspore/ccsrc/common/debug/env_config_parser.cc:152] ParseFromFile] The 'env_config_path' in 'mindspore.context.set_context(env_config_path={path})' is empty. [INFO] VM(1384462,ffff943eeec0,python):2025-07-15-11:45:20.664.244 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:212] GetOrCreateBackend] The created backend type: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.720.564 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:834] Initialize] The actor thread number: 2, the kernel thread number: 25 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.721.274 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1747] Build] Status record: start compile function graph: _anonymous__1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.721.558 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:700] SetDeterministic] Set kernel deterministic value: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.723.465 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1764] Build] [PROF]InitCommGroup costs 0.204 msec. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:20.723.630 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1094] WaitAllCommInitDone] All device communictor is initialized. You can launch communication operators after this step. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.723.684 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1768] Build] [PROF]WaitAllCommInit costs 0.102 msec. [INFO] UTILS(1384455,ffffae59eec0,python):2025-07-15-11:45:20.723.896 [mindspore/ccsrc/utils/anfalgo.cc:2886] IsDynamicGraph] Null abstract of node: ValueNode InitDataSetQueue [INFO] UTILS(1384455,ffffae59eec0,python):2025-07-15-11:45:20.724.045 [mindspore/ccsrc/utils/anfalgo.cc:2886] IsDynamicGraph] Null abstract of node: @_anonymous__1:CNode_2{[0]: ValueNode Return, [1]: CNode_3} [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.724.141 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:542] IsEnableControlFlowInline] Disable switch inline, executor mode:1 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.724.244 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:372] DoUnifyMindIRPass] Do unify mindir pass for graph _anonymous__1 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.724.368 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_pm_0_erase_invalid_micro_depend in 37.371 us [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.724.638 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:220] EnableKBKCompileCache] Disable backend compile cache by front config. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.724.838 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1791] Build] _anonymous__1, is_dynamic_graph: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.725.054 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:620] BuildSymbolEngine] Status record: skip build symbol engine for function graph: _anonymous__1 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.724.984 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:834] Initialize] The actor thread number: 2, the kernel thread number: 25 [INFO] VM(1384455,ffffae59eec0,python):2025-07-15-11:45:20.725.315 [mindspore/ccsrc/backend/graph_compiler/graph_partition.cc:854] Partition] GraphPartion Info: _anonymous__1 inline mode:0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.725.496 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:913] CompileGraph] Compile graph: _anonymous__1, Split segments size: 2 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.725.586 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:857] CompileGraphFromSegment] Compile normal segment, the first node: @_anonymous__1:CNode_3{[0]: ValueNode InitDataSetQueue} [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.725.783 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:409] CompileGraph] Status record: start compile graph. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.725.774 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1747] Build] Status record: start compile function graph: _anonymous__1 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:20.726.016 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2257] ConstructKernelGraph] Set zero copy flag for graph:kernel_graph0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:20.726.076 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2260] ConstructKernelGraph] Create graph: 0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.726.114 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:700] SetDeterministic] Set kernel deterministic value: 0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:20.727.235 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:3531] ConstructOutput] Output:@_anonymous__1:CNode_3{[0]: ValueNode InitDataSetQueue} [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:20.727.748 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.727.994 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:417] CompileGraph] [PROF]ConstructKernelGraph costs 2.105 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:20.728.142 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:353] RecursiveSetRunMode] Kernel graph: kernel_graph0, set run mode:KernelMode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.728.265 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:188] EliminateIllegalDataTypePass] Start eliminate illegal data type for kernel graph id:0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.728.216 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1764] Build] [PROF]InitCommGroup costs 0.223 msec. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.728.410 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_0_convert_list_to_tuple in 44.991 us [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:20.728.372 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1094] WaitAllCommInitDone] All device communictor is initialized. You can launch communication operators after this step. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.728.429 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1768] Build] [PROF]WaitAllCommInit costs 0.106 msec. [INFO] UTILS(1384462,ffff943eeec0,python):2025-07-15-11:45:20.728.641 [mindspore/ccsrc/utils/anfalgo.cc:2886] IsDynamicGraph] Null abstract of node: ValueNode InitDataSetQueue [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.728.671 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_1_eliminate_func_type in 189.142 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.728.755 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:201] EliminateIllegalDataTypePass] [PROF]EliminateIllegalDataTypePass costs 0.482 msec. [INFO] UTILS(1384462,ffff943eeec0,python):2025-07-15-11:45:20.728.794 [mindspore/ccsrc/utils/anfalgo.cc:2886] IsDynamicGraph] Null abstract of node: @_anonymous__1:CNode_2{[0]: ValueNode Return, [1]: CNode_3} [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.728.846 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:148] CommonUnifyMindIR] start common unify mindir opt graph:0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.728.892 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:542] IsEnableControlFlowInline] Disable switch inline, executor mode:1 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.728.967 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: conv_transpose_to_conv_backprop_input [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.728.991 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:372] DoUnifyMindIRPass] Do unify mindir pass for graph _anonymous__1 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.729.124 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_pm_0_erase_invalid_micro_depend in 45.96 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.729.266 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_0_conv_transpose_to_conv_backprop_input in 332.343 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.729.330 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: custom_op_reg_info_to_attr [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.729.412 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:220] EnableKBKCompileCache] Disable backend compile cache by front config. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.729.508 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_1_custom_op_reg_info_to_attr in 165.961 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.729.625 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Custom not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.729.675 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_2_inplace_assign_for_custom_op in 87.761 us [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.729.659 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1791] Build] _anonymous__1, is_dynamic_graph: 0 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.729.721 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_attr_to_unify_mindir [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.729.854 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_3_convert_attr_to_unify_mindir in 121.831 us [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.729.866 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:620] BuildSymbolEngine] Status record: skip build symbol engine for function graph: _anonymous__1 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.729.921 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:161] CommonUnifyMindIR] [PROF]CommonUnifyMindIR costs 1.07 msec. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.730.018 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:78] BackendCommonOptimization] Status record: start common optimization. graph id: 0 [INFO] VM(1384462,ffff943eeec0,python):2025-07-15-11:45:20.730.046 [mindspore/ccsrc/backend/graph_compiler/graph_partition.cc:854] Partition] GraphPartion Info: _anonymous__1 inline mode:0 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.730.143 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_dynamic_broadcast_to [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.730.209 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:913] CompileGraph] Compile graph: _anonymous__1, Split segments size: 2 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.730.290 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:857] CompileGraphFromSegment] Compile normal segment, the first node: @_anonymous__1:CNode_3{[0]: ValueNode InitDataSetQueue} [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.730.399 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_0_convert_dynamic_broadcast_to in 239.702 us [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.730.507 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:409] CompileGraph] Status record: start compile graph. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.730.591 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_1_convert_const_input_to_attr in 89.101 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.730.698 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_2_custom_op_const_input_to_attr in 37.57 us [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:20.730.699 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2257] ConstructKernelGraph] Set zero copy flag for graph:kernel_graph0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:20.730.760 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2260] ConstructKernelGraph] Create graph: 0 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.730.865 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_3_convert_const_input_to_tensor_input in 104.791 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.730.997 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_4_convert_const_input_to_tensor_input_for_print in 66.35 us [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:20.731.153 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:3531] ConstructOutput] Output:@_anonymous__1:CNode_3{[0]: ValueNode InitDataSetQueue} [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.731.277 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_5_convert_tuple_output_to_maketuple in 208.942 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.731.346 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_6_convert_unused_tuple_para_to_make_tuple in 2.27 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.731.391 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_7_flatten_concat_fission is enabled. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:20.731.529 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.731.578 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_7_flatten_concat_fission in 130.441 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.731.741 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_8_inset_input_structural_for_py_execute in 97.191 us [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.731.764 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:417] CompileGraph] [PROF]ConstructKernelGraph costs 1.149 msec. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.731.791 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_9_broadcast_to_fusion is enabled. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:20.731.906 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:353] RecursiveSetRunMode] Kernel graph: kernel_graph0, set run mode:KernelMode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.731.980 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_9_broadcast_to_fusion in 133.471 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.732.020 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:188] EliminateIllegalDataTypePass] Start eliminate illegal data type for kernel graph id:0 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.732.190 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_0_convert_list_to_tuple in 61.411 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.732.471 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_1_eliminate_func_type in 197.852 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.732.571 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:201] EliminateIllegalDataTypePass] [PROF]EliminateIllegalDataTypePass costs 0.541 msec. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.732.659 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:148] CommonUnifyMindIR] start common unify mindir opt graph:0 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.732.703 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_10_add_attr_to_node in 588.385 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.732.779 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: conv_transpose_to_conv_backprop_input [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.732.788 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_11_replace_addn is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.733.051 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_11_replace_addn in 202.252 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.733.081 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_0_conv_transpose_to_conv_backprop_input in 332.072 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.733.144 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:90] BackendCommonOptimization] [PROF]BackendCommonOptimization costs 3.118 msec. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.733.170 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: custom_op_reg_info_to_attr [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.733.185 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:97] BackendCommonOptimization] Status record: end common optimization. graph id: 0 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.733.327 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:255] OptimizationWithoutBackend] [PROF]OptimizationWithoutBackend costs 5.055 msec. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.733.353 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_1_custom_op_reg_info_to_attr in 167.172 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.733.458 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Custom not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.733.513 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_2_inplace_assign_for_custom_op in 92.06 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.733.563 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_attr_to_unify_mindir [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.733.738 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_3_convert_attr_to_unify_mindir in 155.021 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.733.826 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:161] CommonUnifyMindIR] [PROF]CommonUnifyMindIR costs 1.154 msec. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.733.842 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.733.924 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:78] BackendCommonOptimization] Status record: start common optimization. graph id: 0 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.734.031 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.734.054 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_dynamic_broadcast_to [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.734.333 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_0_convert_dynamic_broadcast_to in 261.702 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.734.543 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_1_convert_const_input_to_attr in 117.291 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.734.662 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_2_custom_op_const_input_to_attr in 45.47 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.734.855 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_3_convert_const_input_to_tensor_input in 117.691 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.734.987 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_4_convert_const_input_to_tensor_input_for_print in 65.33 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.734.952 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_0_renorm_split in 230.372 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.735.049 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: reduce_axis_update [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.735.284 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_5_convert_tuple_output_to_maketuple in 210.432 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.735.355 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_6_convert_unused_tuple_para_to_make_tuple in 2.22 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.735.399 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_7_flatten_concat_fission is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.735.396 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_1_reduce_axis_update in 323.163 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.735.462 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: space_to_batch_nd_attr_update [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.735.597 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_7_flatten_concat_fission in 142.561 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.735.621 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_2_space_to_batch_nd_attr_update in 146.822 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.735.674 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: batch_to_space_nd_attr_update [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.735.748 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_3_batch_to_space_nd_attr_update in 69.981 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.735.773 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_8_inset_input_structural_for_py_execute in 106.221 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.735.851 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AdamWeightDecay not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.735.859 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_9_broadcast_to_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.735.903 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_4_adam_weight_decay_unify_mindir in 102.751 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.005 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_5_add_depend_for_adamw in 44.16 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.736.061 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_9_broadcast_to_fusion in 139.611 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.158 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SparseSoftmaxCrossEntropyWithLogits not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.244 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_6_pynative_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir_v2 in 171.861 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.298 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SparseSoftmaxCrossEntropyWithLogits not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.344 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_7_pynative_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir in 46.62 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.392 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SparseSoftmaxCrossEntropyWithLogits not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.438 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_8_pynative_sparse_softmax_cross_entropy_with_logits_unify_mindir in 43.231 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.568 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim DropoutExt not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.617 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_9_dropout_ext_unify_mindir1 in 129.391 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.666 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim DropoutGradExt not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.708 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_10_dropoutgrad_ext_unify_mindir in 40.7 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.753 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Dropout not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.799 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_11_dropout_unify_mindir1 in 41.43 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.736.843 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: dropoutgrad_unify_mindir [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.736.834 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_10_add_attr_to_node in 650.976 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.736.926 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_11_replace_addn is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.073 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_12_dropoutgrad_unify_mindir in 200.742 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.186 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchange not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.737.195 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_11_replace_addn in 214.572 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.238 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_13_neighbor_exchange_unify_mindir in 92.491 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.283 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2 not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.737.282 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:90] BackendCommonOptimization] [PROF]BackendCommonOptimization costs 3.35 msec. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.737.322 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:97] BackendCommonOptimization] Status record: end common optimization. graph id: 0 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.327 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_14_neighbor_exchange_v2_unify_mindir in 40.861 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.369 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2Grad not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.411 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_15_neighbor_exchange_v2_grad_unify_mindir in 37.6 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.737.460 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:255] OptimizationWithoutBackend] [PROF]OptimizationWithoutBackend costs 5.438 msec. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.491 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAll not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.566 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_16_all_to_all_unify_mindir in 105.051 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.609 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAllV not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.655 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_17_all_to_all_v_unify_mindir in 41.36 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.763 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.820 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_18_bn_split in 109.591 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.737.866 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: bn_grad_unify_mindir [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.737.980 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.092 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_19_bn_grad_unify_mindir in 203.442 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.160 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.738.171 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.210 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_20_bn_grad_split in 47.78 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.287 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.334 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_21_batchnormgrad_to_bninfergrad in 74.46 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.405 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.479 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_22_batch_norm_grad_infer_fission in 90.621 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.535 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.580 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_23_batchnorm_to_bninfer in 41.9 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.662 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Print not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.713 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_24_print_insert_placeholder_for_tensor_name in 78.721 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.806 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim GetNext not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.853 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_25_getnext_for_ge in 90.721 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.932 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SyncBatchNorm not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.738.981 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_26_sync_bn_split in 77.501 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.739.047 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SyncBatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.739.095 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_27_sync_bn_grad_split in 42.74 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.739.097 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_0_renorm_split in 235.052 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.739.177 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: reduce_axis_update [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.739.180 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AvgPoolGrad not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.739.226 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_28_avg_pool_grad_for_ge in 81.631 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.739.516 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_29_add_attr_to_dump in 216.881 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.739.534 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_1_reduce_axis_update in 337.363 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.739.596 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: space_to_batch_nd_attr_update [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.739.729 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_2_space_to_batch_nd_attr_update in 122.801 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.739.780 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: batch_to_space_nd_attr_update [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.739.864 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_3_batch_to_space_nd_attr_update in 75.311 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.739.953 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_30_ascend_mindir_op_adapter in 321.853 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.739.974 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AdamWeightDecay not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.740.035 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.027 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_4_adam_weight_decay_unify_mindir in 107.151 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.150 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_5_add_depend_for_adamw in 46.37 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.740.216 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission in 124.191 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.740.275 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_1_cdist_fission is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.285 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SparseSoftmaxCrossEntropyWithLogits not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.331 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_6_pynative_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir_v2 in 129.391 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.379 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SparseSoftmaxCrossEntropyWithLogits not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.420 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_7_pynative_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir in 40.521 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.468 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SparseSoftmaxCrossEntropyWithLogits not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.740.496 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_1_cdist_fission in 165.881 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.512 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_8_pynative_sparse_softmax_cross_entropy_with_logits_unify_mindir in 43.16 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.740.551 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_2_cdist_grad_fission is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.663 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim DropoutExt not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.717 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_9_dropout_ext_unify_mindir1 in 152.871 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.740.751 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_2_cdist_grad_fission in 145.471 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.788 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim DropoutGradExt not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.740.811 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.840 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_10_dropoutgrad_ext_unify_mindir in 67.35 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.890 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Dropout not exist in name to cnode [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.740.913 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.938 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_11_dropout_unify_mindir1 in 44.22 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.740.983 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: dropoutgrad_unify_mindir [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.741.032 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.741.111 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion in 246.702 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.741.157 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.189 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_12_dropoutgrad_unify_mindir in 184.282 us [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.741.247 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.291 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchange not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.343 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_13_neighbor_exchange_unify_mindir in 83.561 us [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.741.378 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.392 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2 not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.434 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_14_neighbor_exchange_v2_unify_mindir in 40.55 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.741.439 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion in 234.052 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.741.483 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_5_lamb_fission_ge is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.477 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2Grad not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.540 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_15_neighbor_exchange_v2_grad_unify_mindir in 55.22 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.626 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAll not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.677 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_16_all_to_all_unify_mindir in 85.73 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.741.701 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_5_lamb_fission_ge in 159.202 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.721 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAllV not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.741.756 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.761 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_17_all_to_all_v_unify_mindir in 36.09 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.865 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.741.870 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion in 67.6 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.741.917 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.920 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_18_bn_split in 101.691 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.741.967 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: bn_grad_unify_mindir [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.742.194 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion in 214.692 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.207 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_19_bn_grad_unify_mindir in 213.572 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.742.253 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.269 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.316 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_20_bn_grad_split in 47.36 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.406 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.742.446 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion in 114.111 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.489 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_21_batchnormgrad_to_bninfergrad in 112.871 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.742.508 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.742.559 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:270] DefineFlashAttentionPattern] Do FlashAttentionPattern V1. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.580 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.627 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_22_batch_norm_grad_infer_fission in 81.851 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.673 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.723 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_23_batchnorm_to_bninfer in 44.161 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.805 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Print not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.742.820 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 in 250.872 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.854 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_24_print_insert_placeholder_for_tensor_name in 82.311 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.742.874 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.742.918 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:384] DefineFlashAttentionPattern] Do FlashAttentionPattern V2. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.947 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim GetNext not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.742.998 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_25_getnext_for_ge in 89.821 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.743.099 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SyncBatchNorm not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.743.154 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_26_sync_bn_split in 85.23 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.743.200 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim SyncBatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.743.203 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 in 259.933 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.743.244 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_27_sync_bn_grad_split in 40.02 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.743.263 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.743.340 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AvgPoolGrad not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.743.392 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_28_avg_pool_grad_for_ge in 96.99 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.743.515 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion in 185.081 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.743.590 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_12_MatMulAllReduce is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.743.694 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_29_add_attr_to_dump in 222.332 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.743.836 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_12_MatMulAllReduce in 182.591 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.743.900 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_13_grouped_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.743.944 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_14_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.743.983 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_15_MatMulAllReduceAddRmsNorm is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.023 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_16_add_layer_norm_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.065 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_17_add_layer_norm_v3_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.105 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_18_add_layer_norm_ext_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.146 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_19_inference_qbmm_add_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.183 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_20_inference_swiglu_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.744.156 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_30_ascend_mindir_op_adapter in 355.033 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.219 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_21_inference_swiglu_fusion_v2 is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.744.236 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.260 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_22_inference_matmul_split_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.295 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_23_add_rms_norm_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.333 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_24_swiglu_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.372 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_25_swiglu_reshape_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.419 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_26_add_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.744.415 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission in 125.781 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.461 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_27_add_cast_rms_norm_cast_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.744.465 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_1_cdist_fission is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.499 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_28_rms_norm_add_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.557 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_29_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.600 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_30_add_cast_rms_norm_cast_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.636 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_31_shape_reshape is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.744.674 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_32_split_concat_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.744.661 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_1_cdist_fission in 144.051 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.744.710 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_2_cdist_grad_fission is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.744.923 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_2_cdist_grad_fission in 159.972 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.744.976 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion is enabled. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.745.088 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.745.210 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.745.242 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_32_split_concat_fusion in 488.664 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.745.282 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion in 256.872 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.745.322 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_33_quant_matmul_elemwise_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.745.354 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.745.364 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_34_matmul_sigmoid_add_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.745.404 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_35_matmul_sigmoid_cast_add_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.745.440 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_36_matmul_elemwise_fusion is disabled. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.745.443 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.745.480 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_37_qbmm_allreduce_convert_bias is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.745.520 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion is enabled. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.745.537 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.745.601 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion in 193.452 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.745.644 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_5_lamb_fission_ge is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.745.858 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion in 266.323 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.745.872 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_5_lamb_fission_ge in 169.982 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.745.923 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_39_remove_fa_tensor_to_tuple_ops is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.745.930 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.745.965 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_40_transpose_batch_matmul_transpose_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.746.004 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_41_moe_init_routing_dyn_quantv2_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.746.044 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.746.058 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion in 71.431 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.746.108 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.746.193 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion in 96.301 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.746.312 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:243] GEUnifyMindIR] [PROF]GEUnifyMindIR costs 12.798 msec. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.746.377 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion in 207.612 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.746.458 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.746.640 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion in 117.911 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.746.699 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.746.746 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:270] DefineFlashAttentionPattern] Do FlashAttentionPattern V1. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.747.017 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 in 253.332 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:20.747.017 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.747.079 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.747.126 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:384] DefineFlashAttentionPattern] Do FlashAttentionPattern V2. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.747.295 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:39] MarkRefGraph] Mark graph is ref graph: 0 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.747.419 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 in 273.562 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.747.504 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.747.763 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion in 186.261 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.747.822 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_12_MatMulAllReduce is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.747.821 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unfold_inputs_for_special_nodes_pm_0_ascend_convert_tuple_input_to_dynamic_input in 378.644 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.077 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_12_MatMulAllReduce in 191.642 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.748.121 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_0_process_call_inline in 113.411 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.136 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_13_grouped_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.174 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_14_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.208 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_15_MatMulAllReduceAddRmsNorm is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.247 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_16_add_layer_norm_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.286 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_17_add_layer_norm_v3_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.324 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_18_add_layer_norm_ext_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.748.346 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_1_seed_adapter in 148.161 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.366 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_19_inference_qbmm_add_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.405 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_20_inference_swiglu_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.444 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_21_inference_swiglu_fusion_v2 is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.748.464 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_2_insert_tensor_move_for_communication in 55.521 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.483 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_22_inference_matmul_split_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.521 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_23_add_rms_norm_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.562 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_24_swiglu_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.748.580 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_3_process partial inline in 59.141 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.603 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_25_swiglu_reshape_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.643 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_26_add_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.702 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_27_add_cast_rms_norm_cast_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.742 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_28_rms_norm_add_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.783 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_29_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.748.804 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_4_expander_fallback in 155.331 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.821 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_30_add_cast_rms_norm_cast_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.860 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_31_shape_reshape is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.748.900 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_32_split_concat_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.748.933 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_5_convert_pad_v3_paddings in 67.931 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.749.041 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_6_convert_pad_v3_grad_paddings in 50.391 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.749.193 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_7_resize_bilinear_add_attr in 92.321 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.749.269 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_8_backend_custom_depend in 19.261 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:20.749.342 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:122] GEBackendOptimizeACL] [PROF]GEBackendOptimizeACL costs 1.39 msec. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.749.467 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:97] OptimizeACLGraph] [PROF]OptimizeACLGraph costs 2.174 msec. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.749.491 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_32_split_concat_fusion in 507.614 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.749.582 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_33_quant_matmul_elemwise_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.749.636 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_34_matmul_sigmoid_add_fusion is disabled. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:20.749.661 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.749.679 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_35_matmul_sigmoid_cast_add_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.749.722 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_36_matmul_elemwise_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.749.765 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_37_qbmm_allreduce_convert_bias is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.749.802 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion is enabled. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.749.874 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.749.990 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.750.094 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.750.174 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion in 292.022 us [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.750.205 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.750.241 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_39_remove_fa_tensor_to_tuple_ops is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.750.281 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_40_transpose_batch_matmul_transpose_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.750.315 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_41_moe_init_routing_dyn_quantv2_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.750.349 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion is enabled. [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:20.750.639 [mindspore/ccsrc/plugin/device/ascend/kernel/atb/atb_kernel_build.cc:44] GetAtbKernelPLugin] Get so path /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin return 1 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.751.310 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion in 845.717 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.751.458 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:243] GEUnifyMindIR] [PROF]GEUnifyMindIR costs 13.816 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:20.752.162 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.752.444 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:39] MarkRefGraph] Mark graph is ref graph: 0 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.753.051 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unfold_inputs_for_special_nodes_pm_0_ascend_convert_tuple_input_to_dynamic_input in 427.784 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.753.394 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_0_process_call_inline in 127.241 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.753.653 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_1_seed_adapter in 169.942 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.753.794 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_2_insert_tensor_move_for_communication in 62.861 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.753.933 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_3_process partial inline in 71.65 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.754.199 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_4_expander_fallback in 177.261 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.754.355 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_5_convert_pad_v3_paddings in 83.341 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.754.505 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_6_convert_pad_v3_grad_paddings in 80.311 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.754.723 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_7_resize_bilinear_add_attr in 139.431 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.754.810 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_8_backend_custom_depend in 23.54 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:20.754.901 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:122] GEBackendOptimizeACL] [PROF]GEBackendOptimizeACL costs 1.69 msec. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.755.049 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:97] OptimizeACLGraph] [PROF]OptimizeACLGraph costs 2.609 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:20.755.224 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.755.452 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.755.588 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.755.718 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.755.812 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:20.756.220 [mindspore/ccsrc/plugin/device/ascend/kernel/atb/atb_kernel_build.cc:44] GetAtbKernelPLugin] Get so path /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin return 1 [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:20.840.217 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] InitDataSetQueue is not defined in opdef. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.081 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] InitDataSetQueue select aclop kernel [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.289 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:310] SelectKernel] [PROF]SelectKernel costs 91.722 msec. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.333 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:80] InitializeForAclop] Start initializing for acl. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.402 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:1214] InitializeForGe] Start initializing for ge. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.455 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:206] SetHcclOptions] Values for hccl options: env_table_file[rank_table_4p.json], simulation_level[], env_rank_id[0], env_device_id[2], enable_hccl[1], UseDynamicCluster[1]. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.491 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:232] SetHcclOptions] No hccl mode. If use hccl, make sure [RANK_TABLE_FILE,RANK_ID,DEVICE_ID] all be set in ENV. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.522 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:243] GetGeGlobalOptions] Set ge.exec.jobId to default value 0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.549 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:253] GetGeGlobalOptions] Got empty proto lib path, cannot set ge.opsProtoLibPath. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.579 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:168] SetAscendConfig] Set GE topo mode to memory-priority. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.605 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:171] SetAscendConfig] Set staticMemoryPolicy to default mode 2. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.636 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:178] SetAscendConfig] The default value of jit_compile is set to 2. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.663 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:147] SetAscendHF32Config] The default value of allow_matmul_hf32 and allow_conv_hf32 are set by CANN. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.688 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:156] SetAscendHF32Config] allow_matmul_hf32: , allow_conv_hf32: [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:20.841.766 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:276] GetGeGlobalOptions] Set ge::DETERMINISTIC to 0 [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:20.846.642 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] InitDataSetQueue is not defined in opdef. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.847.542 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] InitDataSetQueue select aclop kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.847.777 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:310] SelectKernel] [PROF]SelectKernel costs 92.613 msec. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.847.836 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:80] InitializeForAclop] Start initializing for acl. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.847.998 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:1214] InitializeForGe] Start initializing for ge. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.848.066 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:206] SetHcclOptions] Values for hccl options: env_table_file[rank_table_4p.json], simulation_level[], env_rank_id[1], env_device_id[3], enable_hccl[1], UseDynamicCluster[1]. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.848.113 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:232] SetHcclOptions] No hccl mode. If use hccl, make sure [RANK_TABLE_FILE,RANK_ID,DEVICE_ID] all be set in ENV. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.848.151 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:243] GetGeGlobalOptions] Set ge.exec.jobId to default value 0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.848.179 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:253] GetGeGlobalOptions] Got empty proto lib path, cannot set ge.opsProtoLibPath. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.848.211 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:168] SetAscendConfig] Set GE topo mode to memory-priority. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.848.241 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:171] SetAscendConfig] Set staticMemoryPolicy to default mode 2. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.848.273 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:178] SetAscendConfig] The default value of jit_compile is set to 2. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.848.309 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:147] SetAscendHF32Config] The default value of allow_matmul_hf32 and allow_conv_hf32 are set by CANN. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.848.337 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:156] SetAscendHF32Config] allow_matmul_hf32: , allow_conv_hf32: [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:20.848.467 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:276] GetGeGlobalOptions] Set ge::DETERMINISTIC to 0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.711.402 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:1236] InitializeForGe] End initializing for ge. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.711.894 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:95] InitializeForAclop] End initializing for acl. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.712.156 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:254] SetAclOpPrecisionMode] Set aclop PRECISION_MODE: must_keep_origin_dtype [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.713.115 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:683] SetAclDeterministic] Set acl deterministic value: 0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.713.313 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:314] PrintOpSelectedNum] Number of INTERNAL_KERNEL, OPAPI_KERNEL, ACL_KERNEL, ATB_KERNEL, HCCL_KERNEL, HOST_KERNEL: [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.713.371 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:320] PrintOpSelectedNum] 0 0 1 0 0 0 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.713.992 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.714.306 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.714.905 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_0_set_fracz_group_attr in 283.333 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.715.441 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_1_insert_identity in 386.924 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.715.674 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_2_erase_visit_attr in 126.131 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.716.153 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_3_deal_ref_output in 389.513 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.716.290 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_4_insert_type_transform_op in 57.311 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.716.338 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_5_shape_reshape is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.716.374 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_6_shape_reshape_direct is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.716.656 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_opt_acl_after_kernel_select_pm_6_shape_reshape_direct in 215.462 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.716.817 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_7_graph_view_replace in 89.411 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.716.942 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_8_label_1f1b_overlap_node in 29.04 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.717.067 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_9_insert_move_to in 70.92 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.717.149 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:173] GEBackendOptimizeACLAfterKernelSelect] [PROF]GEBackendOptimizeACLAfterKernelSelect costs 3.475 msec. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.717.384 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.717.507 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.717.586 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:210] GEBackendOptimizeACLAfterKernelPacket] [PROF]GEBackendOptimizeACLAfterKernelPacket costs 0.004 msec. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.717.666 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_packet_0_graph_view_replace in 23.561 us [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.717.933 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.718.181 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:131] OptimizeACLGraphAfterKernelSelect] [PROF]OptimizeACLGraphAfterKernelSelect costs 4.668 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.718.261 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.718.396 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_after_inline_pm_0_DropoutGenMask is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.718.662 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_after_inline_pm_0_DropoutGenMask in 61.941 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.719.027 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_1_cse in 236.152 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.719.190 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_2_eliminate_maketuple_getitem in 70.491 us [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.719.282 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.719.410 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_3_insert_pre_fetch_depend in 158.362 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.719.498 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_4_overlap_1b1f in 29.581 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.719.572 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:281] GEAfterInlineOptimize] [PROF]GEAfterInlineOptimize costs 1.199 msec. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.719.688 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:436] InlineCallGraph] [PROF]InlineCallGraph costs 1.433 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.719.759 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.719.897 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:911] InlineSwitchGraph] [PROF]InlineSwitchGraph costs 0.148 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.720.059 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:622] CompileGraphImpl] [PROF]OptimizeGraph costs 7433.98 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.720.148 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.720.370 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive InitDataSetQueue [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.721.705 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive InitDataSetQueue [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.721.825 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:InitDataSetQueue, kernel type:acl_kernel [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.722.042 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.722.273 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1194] OptimizeExecutionOrder] [PROF]OptimizeExecutionOrder costs 0.245 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.722.345 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:631] CompileGraphImpl] [PROF]CreateKernel costs 2.213 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.722.973 [mindspore/ccsrc/backend/common/session/session_basic.cc:1079] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 0 start [INFO] DEBUG(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.723.086 [mindspore/ccsrc/debug/summary/summary.cc:55] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 0 start [INFO] DEBUG(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.723.152 [mindspore/ccsrc/debug/summary/summary.cc:60] RecurseSetSummaryNodesForAllGraphs] This function should be skipped on GE backend. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.723.258 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1216] ResetNodeIds] Start reset node id [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.723.377 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1236] ResetNodeIds] End reset node id [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.723.433 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.723.546 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.723.602 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1138] DoStreamAssign] Status record: start stream assign, kernel_graph0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.723.732 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/InitDataSetQueue-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.723.834 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1154] DoStreamAssign] Status record: end stream assign, kernel_graph0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.723.909 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:948] PrintGraphExecuteOrder] Graph 0 execution order: [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.724.020 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[0], node name[Default/InitDataSetQueue-op0], logic id[4294967295], stream id[0], node info[@kernel_graph0:CNode_4{[0]: ValueNode InitDataSetQueue}] [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.724.175 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:676] CompileGraphImpl] [PROF]PreprocessBeforeRun costs 0.912 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.724.235 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:722] CreateDeviceAddress] Status record: start create device address. graph id: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.724.474 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:729] CreateDeviceAddress] Status record: end create device address. graph id: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.724.556 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:684] CompileGraphImpl] [PROF]CreateDeviceAddress costs 0.304 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.724.872 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1194] CacheGraphOutputToFrontNodeWithIndex] Get graph backend output nodes. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.724.967 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1202] CacheGraphOutputToFrontNodeWithIndex] Get graph front output nodes. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.725.028 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:487] CompileGraph] Status record: end compile graph. graph id: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.725.479 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:884] CompileGraphFromSegment] Compile cut segment, the cut node: @_anonymous__1:CNode_2{[0]: ValueNode Return, [1]: CNode_3} [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.725.702 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1795] Build] [PROF]CompileSubGraph costs 7457.06 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.725.779 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:249] ExportCompileCacheKBK] Compile cache: disable by front compile cache config. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.725.945 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1809] Build] Status record: construct the graph compiler info. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.726.085 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:957] Transform] Graph(kernel_graph_0) transforms actor begin, strategy:pipeline [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.726.305 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:490] InitGraphParameterStore] Init graph parameter store: kernel_graph_0, outer size: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.726.506 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:471] TryEnableKbkSubGraphExecMode] Enable kbk subgraph execute mode for actor set: kernel_graph_0, phase: [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.726.581 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:391] TryEnableInputOptimize] Enable input optimize for actor set: kernel_graph_0, phase: [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.726.694 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2317] BuildDataPrepareActorForGraphParameterStore] Create data prepare actor: kernel_graph_0_DataPrepareActor [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.726.919 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.727.043 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.727.102 [mindspore/ccsrc/runtime/graph_scheduler/actor/super_kernel_actor.cc:2024] SuperKernelActor] The kernel graph: kernel_graph0 phase: , enable parallel dispatch kernel: 0 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.727.248 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.727.341 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.727.399 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2273] BuildLoopCountActor] Create loop count actor: kernel_graph_0_LoopCountActor [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.727.441 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2306] BuildOutputActor] Create output actor: kernel_graph_0_OutputActor [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.727.705 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1807] Link] [PROF]GraphSchedulerLinkSinkMode costs 0.052 msec. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.729.160 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.729.352 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.729.606 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.729.701 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.729.860 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:984] Transform] [PROF]GraphSchedulerLink costs 2.297 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.031 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 1_actor_set_kernel_graph_0_invalid_data_arrow_elimination in 32.12 us [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.112 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 2_actor_set_kernel_graph_0_multi_actor_fusion in 27.2 us [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.150 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 3_actor_set_kernel_graph_0_batch_data_arrow_fusion in 1.54 us [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.190 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1001] Transform] Graph(kernel_graph_0) transforms actor end. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.292 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.382 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.473 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:358] Init] kernel_graph_0 has the parameter input num: 0 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.520 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.604 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.657 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.732 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.840 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1827] Build] [PROF]GraphScheduler costs 4.814 msec. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.730.946 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:202] Refresh] Stream manager initialize, stream_size : 2. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.021 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:63] Resize] Task id on stream manager initialize : 0, stream_size : 2. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.115 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1839] Build] [PROF]compile_backend_graph costs 7465.03 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.178 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1842] Build] Status record: end compile function graph: _anonymous__1, produce actor: kernel_graph_0, backend_graph_id: 0 [INFO] VM(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.235 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:122] Build] Backend build graph, backend name: , backend type: 0, backend graph id: 0 [INFO] VM(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.300 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:131] Run] Backend run graph: 0, backend type: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.524 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1993] Run] Status record: start run actor: kernel_graph_0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.651 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:195] PreLaunchCommKernel] Pre launch comm kernel. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.696 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:215] PreLaunchCommKernel] No hccl kernel to pre launch [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.749 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2009] Run] [PROF]PreLaunchCommKernel costs 0.093 msec. [INFO] UTILS(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.793 [mindspore/ccsrc/utils/signal_util.cc:51] RegisterGlobalSignalHandler] MSCONTEXT_REGISTER_INIT_FUNC register int handler [INFO] UTILS(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.833 [mindspore/ccsrc/utils/signal_util.cc:57] RegisterGlobalSignalHandler] The signal has been registered [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.731.934 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1259] RefreshGraphParameterStore] Input args size: 0 [INFO] DEVICE(1384446,fffde97defa0,python):2025-07-15-11:45:27.732.654 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:700] SetDeterministic] Set kernel deterministic value: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.733.579 [mindspore/ccsrc/runtime/graph_scheduler/actor/actor_common.cc:396] operator()] Init defrag memory step freq. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.733.683 [mindspore/ccsrc/runtime/graph_scheduler/actor/actor_common.cc:398] operator()] Config defrag memory step freq : . [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.733.718 [mindspore/ccsrc/runtime/graph_scheduler/actor/actor_common.cc:407] operator()] Defrag memory step freq : 100. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:27.733.755 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:760] PrepareDataForDeviceTensorStore] Prepare store data, input tensor size: 0, arg size: 0 [INFO] DEVICE(1384446,fffe86ffdfa0,python):2025-07-15-11:45:27.734.103 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:700] SetDeterministic] Set kernel deterministic value: 0 [INFO] GE_ADPT(1384446,fffde97defa0,python):2025-07-15-11:45:27.737.010 [mindspore/ops/kernel/ascend/acl_ir/acl_allocator.cc:118] RegisterAllocator] Register AclAllocator [INFO] RUNTIME_FRAMEWORK(1384446,fffe86ffdfa0,python):2025-07-15-11:45:28.265.123 [mindspore/ccsrc/runtime/graph_scheduler/actor/loop_count_actor.cc:62] IncreaseLoopCount] Loop count actor(kernel_graph_0_LoopCountActor) running, loop count: 1, current count: 1, total running count: 1 [INFO] RUNTIME_FRAMEWORK(1384446,fffe86ffdfa0,python):2025-07-15-11:45:28.265.316 [mindspore/ccsrc/runtime/graph_scheduler/actor/loop_count_actor.cc:90] RealRun] Sync stream in the step end. [INFO] RUNTIME_FRAMEWORK(1384446,fffe86ffdfa0,python):2025-07-15-11:45:28.266.040 [mindspore/ccsrc/runtime/graph_scheduler/actor/loop_count_actor.cc:107] RealRun] Sync stream success. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.266.345 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1499] SetActorExecutionStrategy] kernel_graph_0 execution count: 1, execution time: 532.853 ms in multi thread or not: 1. [INFO] UTILS(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.266.446 [mindspore/ccsrc/utils/utils.cc:412] SkipOrResetCopyAction] Step end, reset copy action flag [INFO] UTILS(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.266.524 [mindspore/ccsrc/utils/utils.cc:426] SkipOrResetSyncAction] Step end, reset sync action flag [INFO] DEBUG(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.266.579 [mindspore/ccsrc/debug/summary/summary.cc:84] SummaryTensor] This function should be skipped on GE backend. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.266.977 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.267.143 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.267.216 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2033] Run] Status record: end run actor: 0 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.267.351 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:824] InitExecDatasetVm] [PROF]InitExecDatasetVm costs 8057.21 msec. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.279.485 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:376] Compile] Input plan: +-Transfer,send_epoch_end:false,total_batch:2340) | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.279.640 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:389] Compile] Environment MS_INDEPENDENT_DATASET is false, dataset will be ran in main process. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.279.941 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:409] Compile] Plan before optimization: +-Top | +-Transfer,send_epoch_end:false,total_batch:2340) | | +-Repeat(count:1) | | | +-Batch(batch_size:32 drop_remainder:true) | | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | | +-MnistDataset [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.279.987 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:99] PrePass] Running pre pass loops. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.059 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.132 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.317 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.380 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.467 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.518 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.556 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/cache_transform_pass.cc:176] RunOnTree] Pre pass: Cache transform pass started. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.609 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/cache_transform_pass.cc:193] RunOnTree] Pre pass: Cache transform pass complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.642 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:129] PrePass] Pre pass offload complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.677 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:152] PostPass] Running post pass loops. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.799 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:169] PostPass] Post passes complete. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.280.915 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:423] Compile] Plan after optimization: +-Top | +-Transfer,send_epoch_end:false,total_batch:2340) | | +-EpochCtrl(epoch:5) | | | +-Batch(batch_size:32 drop_remainder:true) | | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | | +-MnistDataset [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.282.012 [mindspore/ccsrc/plugin/device/ascend/hal/device/ascend_data_queue.cc:244] AscendTdtQueue] Select MBUF channel, the capacity of data queue is: 128 [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.282.279 [mindspore/ccsrc/minddata/dataset/engine/datasetops/epoch_ctrl_op.cc:23] EpochCtrlOp] Welcome to Epoch Ctrl Op. [INFO] MD(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.286.620 [mindspore/ccsrc/minddata/dataset/engine/execution_tree.cc:192] Launch] Printing the tree before launch tasks: Execution tree summary: ----------------------- +- ( 0) : [workers: 1] +- ( 1) : [workers: 0 (inlined)] [epochs: 5] +- ( 2) : [workers: 8] [batch size: 32] +- ( 3) : [workers: 1] [shuffle size: 10000] +- ( 4) : [workers: 1] +- ( 5) : [workers: 1] +- ( 6) : [workers: 1] +- ( 7) : [workers: 1] +- ( 8) : [workers: 1] +- ( 9) : [workers: 8] Execution tree operator details: -------------------------------- ( 0) : Number of children : 1 Child[0] id: 1 Number of parents : 0 Connector queue size : 1 Total repeats : 5 Number repeats per epoch : 1 Num workers: 1 Channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe ( 1) : Number of children : 1 Child[0] id: 2 Number of parents : 1 Parent[0] id: 0 Connector queue size : 0 Total repeats : 5 Number repeats per epoch : 1 Num workers: 0 (inlined) Current count: 0 Max count: 5 Leaf Nodes in execution path: None. ( 2) : Number of children : 1 Child[0] id: 3 Number of parents : 1 Parent[0] id: 1 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 8] Start batch size: 32 Drop remainder: yes ( 3) : Number of children : 1 Child[0] id: 4 Number of parents : 1 Parent[0] id: 2 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 Num workers: 1 Shuffle size: 10000 Shuffle buffer state: 0 Shuffle seed: 2755892515 ( 4) : Number of children : 1 Child[0] id: 5 Number of parents : 1 Parent[0] id: 3 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: HWC2CHWOp ( 5) : Number of children : 1 Child[0] id: 6 Number of parents : 1 Parent[0] id: 4 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: RescaleOp: shift: -0.424213, Rescale: 3.2457 ( 6) : Number of children : 1 Child[0] id: 7 Number of parents : 1 Parent[0] id: 5 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: RescaleOp: shift: 0, Rescale: 0.00392157 ( 7) : Number of children : 1 Child[0] id: 8 Number of parents : 1 Parent[0] id: 6 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: ResizeOp: 32 32 ( 8) : Number of children : 1 Child[0] id: 9 Number of parents : 1 Parent[0] id: 7 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: label TensorOps with worker_id 0: TypeCastOp ( 9) : Number of children : 0 Number of parents : 1 Parent[0] id: 8 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 Sampler: Sampler: DistributedSampler num_rows_: 0 num_samples_: 0 seed: 5490 device_id: 3 num_devices: 4 shuffle: 1 [workers: 8] Number of rows:-1 Mnist Directory: /home/workspace/mindspore_dataset/mnist/train [INFO] MD(1384446,fffde8fcefa0,python):2025-07-15-11:45:28.287.305 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp(ID:9)]: Core binding is not enabled. [INFO] MD(1384446,fffdcafdefa0,python):2025-07-15-11:45:28.288.538 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffdca7cefa0,python):2025-07-15-11:45:28.289.199 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffdc9fbefa0,python):2025-07-15-11:45:28.289.739 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffddbffefa0,python):2025-07-15-11:45:28.290.300 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffddb7eefa0,python):2025-07-15-11:45:28.290.845 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffddafdefa0,python):2025-07-15-11:45:28.291.278 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffdda7cefa0,python):2025-07-15-11:45:28.291.854 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffdd9fbefa0,python):2025-07-15-11:45:28.292.508 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffdd97aefa0,python):2025-07-15-11:45:28.292.987 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::Collector]: Core binding is not enabled. [INFO] MD(1384446,fffde8fcefa0,python):2025-07-15-11:45:28.293.273 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384446,fffde8fcefa0,python):2025-07-15-11:45:28.293.388 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [INFO] MD(1384446,fffdd8f9efa0,python):2025-07-15-11:45:28.293.553 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:8)]: Core binding is not enabled. [INFO] MD(1384446,fffdcbffefa0,python):2025-07-15-11:45:28.294.681 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffdcb7eefa0,python):2025-07-15-11:45:28.295.520 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] MD(1384446,fffdc97aefa0,python):2025-07-15-11:45:28.296.093 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:7)]: Core binding is not enabled. [INFO] MD(1384446,fffdc8f9efa0,python):2025-07-15-11:45:28.296.891 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffda1321fa0,python):2025-07-15-11:45:28.297.397 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] MD(1384446,fffda0b11fa0,python):2025-07-15-11:45:28.298.893 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:6)]: Core binding is not enabled. [INFO] MD(1384446,fffd8fffefa0,python):2025-07-15-11:45:28.299.970 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffd8f7eefa0,python):2025-07-15-11:45:28.300.898 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] MD(1384446,fffd8efdefa0,python):2025-07-15-11:45:28.303.437 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:5)]: Core binding is not enabled. [INFO] MD(1384446,fffd8e7cefa0,python):2025-07-15-11:45:28.304.251 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffd8dfbefa0,python):2025-07-15-11:45:28.304.843 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] MD(1384446,fffd8d7aefa0,python):2025-07-15-11:45:28.305.448 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:4)]: Core binding is not enabled. [INFO] MD(1384446,fffd8cf9efa0,python):2025-07-15-11:45:28.306.225 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffd6bffefa0,python):2025-07-15-11:45:28.306.987 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] MD(1384446,fffd6b7eefa0,python):2025-07-15-11:45:28.307.807 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::ShuffleOp(ID:3)]: Core binding is not enabled. [INFO] MD(1384446,fffd6afdefa0,python):2025-07-15-11:45:28.308.381 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp(ID:2)]: Core binding is not enabled. [INFO] MD(1384446,fffd6a7cefa0,python):2025-07-15-11:45:28.309.806 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffd69fbefa0,python):2025-07-15-11:45:28.310.400 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffd697aefa0,python):2025-07-15-11:45:28.310.939 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffd68f9efa0,python):2025-07-15-11:45:28.311.392 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffd4bffefa0,python):2025-07-15-11:45:28.312.001 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffd4b7eefa0,python):2025-07-15-11:45:28.312.503 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffd4afdefa0,python):2025-07-15-11:45:28.312.949 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffd4a7cefa0,python):2025-07-15-11:45:28.313.591 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384446,fffd49fbefa0,python):2025-07-15-11:45:28.314.135 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::Collector]: Core binding is not enabled. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:28.315.038 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::DataQueueOp(ID:0)]: Core binding is not enabled. [INFO] MD(1384446,fffd48f9efa0,python):2025-07-15-11:45:28.315.728 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::Detect first batch]: Core binding is not enabled. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:28.315.998 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:455] SendDataToAscend] Device queue, sending data to Ascend. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:28.317.588 [mindspore/train/model.py:773] Begin to connect network with dataset. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.425.025 [mindspore/ccsrc/pipeline/jit/ps/executor/executor_py.cc:261] GenerateArgumentsKey] Generate a new compile key for new args, key: 0 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:28.425.191 [mindspore/ccsrc/pipeline/jit/ps/executor/executor_py.cc:269] GenerateArgumentsKey] New cached args: [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.305.387 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:377] CompileInner] Start compiling, phase: train.1752551128346065152.281471629763664.0. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.305.566 [mindspore/ccsrc/pipeline/jit/ps/pass_config.cc:277] LoadPassesConfig] AUTO_PASSES_OPTIMIZE_PATH: [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.305.613 [mindspore/ccsrc/pipeline/jit/ps/event_message_print.cc:42] PrintEventMessage] Start compiling '_DataWrapper.construct' and it will take a while. Please wait... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.317.074 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:608] Run] Pipeline run [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.317.382 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start bootstrap action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.319.428 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end bootstrap action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.319.579 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 8 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.319.657 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start type_inference action. [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.320.098 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:433] Eval] Add root_func_graph_backup [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.337.548 [mindspore/_extends/parse/namespace.py:132] '_DataWrapper' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.348.540 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_6 has no return node. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.349.262 [mindspore/_extends/parse/namespace.py:132] '_DataWrapper' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.352.364 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.362.855 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] _no_sens_impl_8 update var `grads` with node @_no_sens_impl_8:grads{[0]: CNode_9, [1]: grads} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.363.448 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_no_sens_impl_8] Added global python symbol: {ops : } [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.366.647 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f5f1e00, node: 0x4f5f4750/@_no_sens_impl_11:param_inputs, user size: 1, first user: @_no_sens_impl_11:loss{[0]: ValueNode DoUnpackCall, [1]: CNode_12, [2]: param_inputs} [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.368.553 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.373.591 [mindspore/_extends/parse/namespace.py:132] 'WithLossCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.382.293 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14] Added global python symbol: {_check_is_tensor : Prim[_check_is_tensor]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.382.526 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:logits [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.383.330 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_15{[0]: CNode_16, [1]: ValueNode logits, [2]: param_logits, [3]: CNode_17}, block: 0x4f5ec0c0/mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/loss/loss.py:865, 8~57/ _check_is_tensor('logits', logits, self.cls_name)/ [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.383.578 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:labels [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.384.248 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_18{[0]: CNode_16, [1]: ValueNode labels, [2]: param_labels, [3]: CNode_19}, block: 0x4f5ec0c0/mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/loss/loss.py:866, 8~57/ _check_is_tensor('labels', labels, self.cls_name)/ [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.385.456 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_20{[0]: ValueNode Depend, [1]: CNode_21, [2]: CNode_22}, state: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_23{[0]: ValueNode MakeTuple, [1]: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_15{[0]: CNode_16, [1]: ValueNode logits, [2]: param_logits, [3]: CNode_17}, [2]: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_18{[0]: CNode_16, [1]: ValueNode labels, [2]: param_labels, [3]: CNode_19}} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.385.963 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_24 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.386.132 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓✓mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_25 has no return node. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.386.811 [mindspore/_extends/parse/namespace.py:132] 'WithLossCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.394.466 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_27, [1]: param_x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.395.023 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_28, [1]: x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.395.456 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_29, [1]: x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.395.872 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_30, [1]: x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.396.274 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_31, [1]: x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.396.681 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_32, [1]: x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.397.103 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_33, [1]: x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.397.520 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_34, [1]: x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.397.934 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_35, [1]: x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.398.332 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_36, [1]: x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.398.773 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_37, [1]: x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.399.239 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_38, [1]: x} [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.400.356 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.409.722 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_39] Added global python symbol: {len : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.410.098 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.410.775 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.411.030 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.411.950 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `self.weight` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_41{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.412.250 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `x` with node @↓mindspore_nn_layer_basic_Dense_construct_40:x{[0]: CNode_42, [1]: param_фx, [2]: CNode_41} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.412.982 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `self.bias` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_43{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.413.633 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_40] Added global python symbol: {len : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.413.805 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `len` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.414.012 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `x_shape` with node @mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.414.239 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.414.688 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.415.134 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_40] Added global python symbol: {ops : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.415.328 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_39] Added global python symbol: {ops : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.415.453 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `ops` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_46{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.415.887 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.419.805 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f5f9bc0/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.420.043 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f5fac80/@mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.420.212 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f5f9bc0/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.420.317 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f5fac80/@mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.420.551 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f6843c0/@mindspore_nn_layer_basic_Dense_construct_39:CNode_43{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.420.728 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f67d670/@mindspore_nn_layer_basic_Dense_construct_39:CNode_41{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.420.869 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f5f9bc0/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.421.094 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f686320/@✓↓mindspore_nn_layer_basic_Dense_construct_50:x{[0]: CNode_51, [1]: x, [2]: CNode_43}, user size: 1, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_52:x{[0]: CNode_53, [1]: x, [2]: out_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.421.277 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f699600/@mindspore_nn_layer_basic_Dense_construct_39:CNode_46{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.421.452 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f686320/@✓↓mindspore_nn_layer_basic_Dense_construct_50:x{[0]: CNode_51, [1]: x, [2]: CNode_43}, user size: 2, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_52:x{[0]: CNode_53, [1]: x, [2]: out_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.421.582 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f6a5140/@4↓mindspore_nn_layer_basic_Dense_construct_54:CNode_55{[0]: ValueNode Return, [1]: param_фx}, user size: 1, first user: ValueNode 4↓mindspore_nn_layer_basic_Dense_construct_54 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.421.701 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f5c9d50/@mindspore_nn_layer_basic_Dense_construct_39:param_x, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.421.845 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f5f9bc0/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 4, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.422.036 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f699600/@mindspore_nn_layer_basic_Dense_construct_39:CNode_46{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.422.166 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f5f9bc0/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 5, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.422.282 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f5fac80/@mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.422.514 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f6843c0/@mindspore_nn_layer_basic_Dense_construct_39:CNode_43{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.422.717 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f67d670/@mindspore_nn_layer_basic_Dense_construct_39:CNode_41{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.422.829 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f5c9d50/@mindspore_nn_layer_basic_Dense_construct_39:param_x, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.422.949 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f65f6d0, node: 0x4f680630/@↓mindspore_nn_layer_basic_Dense_construct_40:CNode_56{[0]: ValueNode Return, [1]: CNode_57}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40 [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.424.236 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.428.832 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.431.769 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_58] Added global python symbol: {len : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.432.156 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.432.838 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.433.109 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.434.103 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `self.weight` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_60{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.434.480 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `x` with node @↓mindspore_nn_layer_basic_Dense_construct_59:x{[0]: CNode_61, [1]: param_фx, [2]: CNode_60} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.435.367 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `self.bias` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_62{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.436.136 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_59] Added global python symbol: {len : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.436.340 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `len` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.436.591 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `x_shape` with node @mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.436.847 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.437.273 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.437.733 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_59] Added global python symbol: {ops : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.437.922 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_58] Added global python symbol: {ops : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.438.060 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `ops` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_65{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.438.537 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.442.442 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f645460/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.442.636 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f667700/@mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.442.832 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f645460/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.442.944 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f667700/@mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.443.152 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f6e8750/@mindspore_nn_layer_basic_Dense_construct_58:CNode_62{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.443.333 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f6e1c50/@mindspore_nn_layer_basic_Dense_construct_58:CNode_60{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.443.494 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f645460/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.443.718 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f6ea660/@✓↓mindspore_nn_layer_basic_Dense_construct_69:x{[0]: CNode_70, [1]: x, [2]: CNode_62}, user size: 1, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_71:x{[0]: CNode_72, [1]: x, [2]: out_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.443.924 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f6fd100/@mindspore_nn_layer_basic_Dense_construct_58:CNode_65{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.444.119 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f6ea660/@✓↓mindspore_nn_layer_basic_Dense_construct_69:x{[0]: CNode_70, [1]: x, [2]: CNode_62}, user size: 2, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_71:x{[0]: CNode_72, [1]: x, [2]: out_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.444.289 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f7086f0/@4↓mindspore_nn_layer_basic_Dense_construct_73:CNode_74{[0]: ValueNode Return, [1]: param_фx}, user size: 1, first user: ValueNode 4↓mindspore_nn_layer_basic_Dense_construct_73 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.444.402 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f6a60e0/@mindspore_nn_layer_basic_Dense_construct_58:param_x, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.444.547 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f645460/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 4, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.444.743 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f6fd100/@mindspore_nn_layer_basic_Dense_construct_58:CNode_65{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.444.859 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f645460/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 5, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.444.972 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f667700/@mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.445.145 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f6e8750/@mindspore_nn_layer_basic_Dense_construct_58:CNode_62{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.445.331 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f6e1c50/@mindspore_nn_layer_basic_Dense_construct_58:CNode_60{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.445.447 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f6a60e0/@mindspore_nn_layer_basic_Dense_construct_58:param_x, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.445.600 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f60cf70, node: 0x4f6e4d10/@↓mindspore_nn_layer_basic_Dense_construct_59:CNode_75{[0]: ValueNode Return, [1]: CNode_76}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59 [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.446.785 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.447.545 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.450.128 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_77] Added global python symbol: {len : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.450.457 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.451.064 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.451.306 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.452.219 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `self.weight` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_79{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.452.504 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `x` with node @↓mindspore_nn_layer_basic_Dense_construct_78:x{[0]: CNode_80, [1]: param_фx, [2]: CNode_79} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.453.206 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `self.bias` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_81{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.453.827 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_78] Added global python symbol: {len : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.453.997 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `len` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.454.209 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `x_shape` with node @mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.454.459 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.454.915 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.455.333 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_78] Added global python symbol: {ops : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.455.503 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_77] Added global python symbol: {ops : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.455.631 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `ops` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_84{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.456.039 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.460.085 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f7218c0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.460.327 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f722910/@mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.460.490 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f7218c0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.460.593 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f722910/@mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.460.795 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f73b000/@mindspore_nn_layer_basic_Dense_construct_77:CNode_81{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.460.977 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f734580/@mindspore_nn_layer_basic_Dense_construct_77:CNode_79{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.461.172 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f7218c0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.461.376 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f73ce50/@✓↓mindspore_nn_layer_basic_Dense_construct_88:x{[0]: CNode_89, [1]: x, [2]: CNode_81}, user size: 1, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_90:x{[0]: CNode_91, [1]: x, [2]: out_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.461.551 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f74f6e0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_84{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.461.716 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f73ce50/@✓↓mindspore_nn_layer_basic_Dense_construct_88:x{[0]: CNode_89, [1]: x, [2]: CNode_81}, user size: 2, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_90:x{[0]: CNode_91, [1]: x, [2]: out_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.461.834 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f75ad70/@4↓mindspore_nn_layer_basic_Dense_construct_92:CNode_93{[0]: ValueNode Return, [1]: param_фx}, user size: 1, first user: ValueNode 4↓mindspore_nn_layer_basic_Dense_construct_92 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.461.936 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f6e2950/@mindspore_nn_layer_basic_Dense_construct_77:param_x, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.462.092 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f7218c0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 4, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.462.291 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f74f6e0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_84{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.462.457 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f7218c0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 5, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.462.581 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f722910/@mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.462.778 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f73b000/@mindspore_nn_layer_basic_Dense_construct_77:CNode_81{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.462.959 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f734580/@mindspore_nn_layer_basic_Dense_construct_77:CNode_79{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.463.063 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f6e2950/@mindspore_nn_layer_basic_Dense_construct_77:param_x, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.463.182 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f707720, node: 0x4f737560/@↓mindspore_nn_layer_basic_Dense_construct_78:CNode_94{[0]: ValueNode Return, [1]: CNode_95}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78 [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.464.324 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.469.717 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Flatten_construct_96] Added global python symbol: {ops : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.470.328 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.470.627 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.471.586 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_97{[0]: CNode_98, [1]: CNode_99, [2]: ndim}, block: 0x4f687810/mindspore_nn_layer_basic_Flatten_construct_96, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:580, 8~51/ self.check_axis_valid(self.start_dim, ndim)/ [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.472.386 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_100{[0]: CNode_98, [1]: CNode_101, [2]: ndim}, block: 0x4f687810/mindspore_nn_layer_basic_Flatten_construct_96, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:581, 8~49/ self.check_axis_valid(self.end_dim, ndim)/ [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.473.352 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_102{[0]: ValueNode Depend, [1]: CNode_103, [2]: CNode_104}, state: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_105{[0]: ValueNode MakeTuple, [1]: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_97{[0]: CNode_98, [1]: CNode_99, [2]: ndim}, [2]: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_100{[0]: CNode_98, [1]: CNode_101, [2]: ndim}} [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.474.638 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.485.636 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1363] ParseConstant] The Constant is bool:False [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.486.126 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:3 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.486.511 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.486.727 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1363] ParseConstant] The Constant is bool:True [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.487.875 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_pooling_MaxPool2d_construct_106] Added global python symbol: {isinstance : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.488.089 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_pooling_MaxPool2d_construct_107] Added global python symbol: {isinstance : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.488.222 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106 update var `isinstance` with node @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_108{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode isinstance} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.488.474 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_pooling_MaxPool2d_construct_106] Added global python symbol: {tuple : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.488.628 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_pooling_MaxPool2d_construct_107] Added global python symbol: {tuple : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.488.742 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106 update var `tuple` with node @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_109{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode tuple} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.489.223 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.489.410 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.489.670 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.489.816 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.490.212 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.493.658 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f7bb090/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_109{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode tuple}, user size: 1, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.493.882 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f7b8de0/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_108{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode isinstance}, user size: 1, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.494.085 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f7b2e70/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 1, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.494.223 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f7b2e70/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 2, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.494.333 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f7cc4d0/@↓✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_116:CNode_117{[0]: ValueNode Return, [1]: CNode_118}, user size: 1, first user: ValueNode ↓✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_116 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.494.472 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f7b2e70/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 3, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.494.615 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f7b2e70/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 4, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.494.761 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f7cffd0/@3↓mindspore_nn_layer_pooling_MaxPool2d_construct_119:CNode_120{[0]: ValueNode Return, [1]: CNode_121}, user size: 1, first user: ValueNode 3↓mindspore_nn_layer_pooling_MaxPool2d_construct_119 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.494.874 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f70cac0/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:param_x, user size: 1, first user: @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_122{[0]: ValueNode getattr, [1]: param_x, [2]: ValueNode ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.495.029 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f7bb090/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_109{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode tuple}, user size: 2, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.495.167 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f7b8de0/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_108{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode isinstance}, user size: 2, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.495.264 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f70cac0/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:param_x, user size: 2, first user: @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_122{[0]: ValueNode getattr, [1]: param_x, [2]: ValueNode ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.495.364 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f78f130, node: 0x4f6cc8c0/@↓mindspore_nn_layer_pooling_MaxPool2d_construct_106:CNode_123{[0]: ValueNode Return, [1]: CNode_124}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106 [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.496.406 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.497.142 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.503.109 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.503.908 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.504.441 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.507.437 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.508.577 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.509.898 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.517.245 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_equal_scalar_126] Added global python symbol: {F : } [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.524.824 [mindspore/_extends/parse/namespace.py:132] 'MaxPool2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.526.587 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.527.760 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.528.824 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.532.254 [mindspore/_extends/parse/namespace.py:132] 'MaxPool2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.533.851 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.537.629 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:'start_dim' or 'end_dim' out of range. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.538.264 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.538.506 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.538.662 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.538.758 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.538.813 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.558.690 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:223] CheckFuncReturn] Function must has 'return' statement, but missing in bound method 'check_axis_valid' at /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:573 of . FuncGraph: ↓check_axis_valid_128, location: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:573~575, 4~70 def check_axis_valid(self, axis, ndim): We will add a 'return None' statement automatically. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.559.473 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.564.807 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [rank_129] Added global python symbol: {_get_cache_prim : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.565.145 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [rank_129] Added global python symbol: {Rank : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.577.228 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {str : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.578.014 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↻_get_cache_prim_for_pynative_131] Added global python symbol: {str : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.578.691 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↻_get_cache_prim_for_pynative_131 update var `str` with node @↵_get_cache_prim_for_pynative_132:param_фstr [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.579.080 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {tuple : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.579.397 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] _get_cache_prim_for_pynative_133 update var `key` with node @_get_cache_prim_for_pynative_133:key{[0]: CNode_134, [1]: key, [2]: CNode_135} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.580.371 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:: [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.580.687 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↵_get_cache_prim_for_pynative_136] Added global python symbol: {str : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.581.472 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↵_get_cache_prim_for_pynative_136] Added global python symbol: {_PRIM_CACHE : {}} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.581.649 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {_PRIM_CACHE : {}} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.582.018 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↵_get_cache_prim_for_pynative_136] Added global python symbol: {Primitive : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.582.170 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {Primitive : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.583.147 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @✓↓_get_cache_prim_for_pynative_137:CNode_138{[0]: ValueNode DoUnpackCall, [1]: CNode_139, [2]: param_фargs, [3]: param_фkwargs}, block: 0x4f8c1640/✓↓_get_cache_prim_for_pynative_137, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_primitive_cache.py:84, 12~42/ prim.__init__(*args, **kwargs)/ [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.583.993 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 2↓_get_cache_prim_for_pynative_140 update var `key` with node @↓_get_cache_prim_for_pynative_141:key{[0]: param_фstr, [1]: param_фkey} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.584.385 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @↻_get_cache_prim_for_pynative_142:CNode_143{[0]: ValueNode Depend, [1]: CNode_144, [2]: CNode_145}, state: @↻_get_cache_prim_for_pynative_142:CNode_146{[0]: ValueNode MetaFuncGraph-add.147, [1]: @↵_get_cache_prim_for_pynative_136:param_@CNode_146, [2]: ValueNode 1} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.584.642 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @✓↓_get_cache_prim_for_pynative_137:CNode_148{[0]: ValueNode Depend, [1]: CNode_149, [2]: CNode_150}, state: @✓↓_get_cache_prim_for_pynative_137:CNode_138{[0]: ValueNode DoUnpackCall, [1]: @✓↓_get_cache_prim_for_pynative_137:CNode_139{[0]: ValueNode getattr, [1]: prim, [2]: ValueNode __init__}, [2]: @↵_get_cache_prim_for_pynative_136:param_фargs, [3]: @↵_get_cache_prim_for_pynative_136:param_фkwargs} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.591.270 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓_get_cache_prim_151 has no return node. [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.593.202 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/prim.cc:2633] EvalPrim] For MakeTuple, the inputs should not be empty. node: @_new_prim_for_graph_152:CNode_153{[0]: ValueNode MakeTuple} [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.593.377 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/prim.cc:2633] EvalPrim] For MakeTuple, the inputs should not be empty. node: @_new_prim_for_graph_152:CNode_154{[0]: ValueNode MakeTuple} [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.593.483 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/prim.cc:2633] EvalPrim] For MakeTuple, the inputs should not be empty. node: @_new_prim_for_graph_152:CNode_155{[0]: ValueNode MakeTuple} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.598.540 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_not_equal_scalar_157] Added global python symbol: {F : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.604.407 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_logical_not_scala_159] Added global python symbol: {F : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.613.281 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_neg_scalar_161] Added global python symbol: {F : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.619.297 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_less_scala_163] Added global python symbol: {F : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.625.696 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_greater_equal_scala_165] Added global python symbol: {F : } [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.629.650 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.657.718 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:'start_dim' or 'end_dim' out of range. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.658.475 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:For 'flatten', 'start_dim' cannot come after 'end_dim'. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.658.899 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.659.113 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.659.814 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim}, block: 0x4f97f8d0/canonicalize_axis_167, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1690, 8~36/ check_axis_valid(axis, ndim)/ [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.660.039 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.660.544 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @canonicalize_axis_167:CNode_170{[0]: ValueNode Depend, [1]: CNode_171, [2]: CNode_172}, state: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: @canonicalize_axis_167:param_axis, [2]: @canonicalize_axis_167:ndim{[0]: CNode_173}} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.660.987 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {isinstance : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.661.221 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {Tensor : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.661.568 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:For 'flatten', argument 'input' must be Tensor. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.662.119 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {int : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.662.732 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {bool : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.663.355 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:For 'flatten', both 'start_dim' and 'end_dim' must be int. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.663.806 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {check_flatten_order_const : Prim[check_flatten_order]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.664.460 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @2↓flatten_175:CNode_176{[0]: CNode_177, [1]: param_order}, block: 0x4f9b1510/2↓flatten_175, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1700, 4~36/ check_flatten_order_const(order)/ [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.664.806 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:F [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.665.179 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {rank_ : Prim[Rank]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.665.665 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.665.788 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.666.113 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {reshape_ : Prim[Reshape]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.666.382 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.666.827 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {ops : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.667.102 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.667.733 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {transpose_ : Prim[Transpose]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.668.291 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {shape_ : Prim[Shape]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.668.454 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {shape_ : Prim[Shape]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.668.594 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `shape_` with node @flatten_174:CNode_179{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode shape_} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.669.021 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {rank_ : Prim[Rank]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.669.177 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `rank_` with node @flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.669.579 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `start_dim` with node @flatten_174:param_start_dim [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.669.782 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.670.013 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `end_dim` with node @flatten_174:param_end_dim [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.670.165 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.670.594 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.670.693 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.671.031 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {reshape_ : Prim[Reshape]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.671.193 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `reshape_` with node @flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.671.456 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.671.878 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {flatten_ : Prim[Flatten]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.672.039 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {flatten_ : Prim[Flatten]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.672.170 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `flatten_` with node @flatten_174:CNode_182{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode flatten_} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.672.621 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `canonicalize_axis` with node ValueNode canonicalize_axis_167 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.673.189 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `check_dim_valid` with node ValueNode check_dim_valid_183 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.673.791 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: start_dim, [2]: end_dim}, block: 0x4f9e8550/4↓flatten_184, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1721, 4~39/ check_dim_valid(start_dim, end_dim)/ [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.674.113 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.674.204 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.674.588 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.675.232 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.675.954 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.676.795 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.677.590 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @2↓flatten_175:CNode_186{[0]: ValueNode Depend, [1]: CNode_187, [2]: CNode_188}, state: @2↓flatten_175:CNode_176{[0]: @flatten_174:CNode_177{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode check_flatten_order_const}, [1]: @flatten_174:param_order} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.677.949 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @4↓flatten_184:CNode_189{[0]: ValueNode Depend, [1]: CNode_190, [2]: CNode_191}, state: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: @4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, [2]: @4↓flatten_184:end_dim{[0]: ValueNode canonicalize_axis_167, [1]: param_end_dim, [2]: x_rank}} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.678.116 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:C [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.678.200 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.678.334 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.679.545 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.679.641 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.680.204 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.680.388 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.680.543 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.680.642 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.680.706 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.680.805 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.680.894 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.680.954 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.681.149 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.681.400 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.681.663 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.681.903 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.683.061 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.683.233 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.684.509 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.684.635 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.685.862 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.685.982 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.687.389 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.687.491 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.688.690 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.688.807 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.690.004 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.690.138 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.691.393 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.691.490 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.692.674 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.692.789 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.693.989 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.694.090 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.695.299 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.695.415 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.696.594 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.696.695 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.697.883 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.697.980 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.699.221 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.699.323 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.700.530 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.700.623 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.701.822 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.701.952 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.703.196 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.703.341 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.704.559 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.704.680 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.705.876 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.706.013 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.707.249 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.707.384 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.708.588 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.708.695 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.709.906 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.710.028 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.711.284 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.711.403 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.712.597 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.712.709 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.713.865 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.713.976 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.715.262 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.715.391 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.716.583 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.716.697 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.717.874 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.717.998 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.719.202 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.719.320 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.720.497 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.720.618 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.721.808 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.721.908 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.722.974 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f992a00/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 1, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.723.146 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f99fca0/@↓flatten_197:CNode_198{[0]: CNode_199, [1]: CNode_200}, user size: 1, first user: @↓flatten_197:CNode_201{[0]: ValueNode Cond, [1]: CNode_198, [2]: ValueNode false} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.723.289 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f99e660/@flatten_174:CNode_202{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode int}, user size: 1, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.723.399 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f992a00/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 2, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.723.552 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9a3dd0/@↱↓flatten_203:CNode_204{[0]: CNode_205, [1]: CNode_206}, user size: 1, first user: @↱↓flatten_203:CNode_207{[0]: ValueNode Cond, [1]: CNode_204, [2]: ValueNode false} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.723.668 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f945b40/@flatten_174:param_start_dim, user size: 1, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.723.780 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f992a00/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 3, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.723.923 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9a76b0/@2↱↓flatten_208:CNode_209{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_210}, user size: 1, first user: @2↱↓flatten_208:CNode_211{[0]: ValueNode Cond, [1]: CNode_209, [2]: ValueNode false} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.724.045 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9a6420/@flatten_174:CNode_210{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode bool}, user size: 1, first user: @2↱↓flatten_208:CNode_209{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_210} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.724.152 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f946050/@flatten_174:param_end_dim, user size: 1, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.724.261 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f992a00/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 4, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.724.412 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f945a40/@flatten_174:param_order, user size: 1, first user: @2↓flatten_175:CNode_176{[0]: CNode_177, [1]: param_order} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.724.557 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f945ee0/@flatten_174:param_input, user size: 1, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.724.689 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f945ee0/@flatten_174:param_input, user size: 2, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.724.866 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9c4f70/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 1, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.724.990 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f946050/@flatten_174:param_end_dim, user size: 2, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.725.095 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f945b40/@flatten_174:param_start_dim, user size: 2, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.725.212 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9bcfe0/@flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 1, first user: @✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.725.360 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f945b40/@flatten_174:param_start_dim, user size: 3, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.725.494 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f946050/@flatten_174:param_end_dim, user size: 3, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.725.665 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9e07b0/@3↓flatten_178:CNode_216{[0]: CNode_217, [1]: param_start_dim, [2]: ValueNode 1}, user size: 1, first user: @3↓flatten_178:CNode_218{[0]: ValueNode Cond, [1]: CNode_216, [2]: ValueNode false} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.725.832 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9bcfe0/@flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 2, first user: @✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.725.963 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9d83f0/@3↓flatten_178:param_фinput, user size: 1, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.726.092 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9c4f70/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 2, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.726.233 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9d83f0/@3↓flatten_178:param_фinput, user size: 2, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.726.492 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9f6f90/@flatten_174:CNode_182{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode flatten_}, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.726.763 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f97f0b0/ValueNode check_dim_valid_183, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.726.980 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9dc730/@3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput}, user size: 1, first user: @✓3↓flatten_221:CNode_222{[0]: CNode_223, [1]: x_rank, [2]: CNode_224} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.727.091 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f945b40/@flatten_174:param_start_dim, user size: 4, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.727.265 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f990e70/ValueNode canonicalize_axis_167, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.727.496 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f96d030/@check_axis_valid_169:CNode_225{[0]: CNode_226, [1]: param_axis, [2]: CNode_227}, user size: 1, first user: @check_axis_valid_169:CNode_228{[0]: ValueNode Cond, [1]: CNode_225, [2]: ValueNode false} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.727.622 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f969e60/@check_axis_valid_169:param_ndim, user size: 1, first user: @check_axis_valid_169:CNode_227{[0]: CNode_229, [1]: param_ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.727.725 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f93cf80/@check_axis_valid_169:param_axis, user size: 1, first user: @check_axis_valid_169:CNode_225{[0]: CNode_226, [1]: param_axis, [2]: CNode_227} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.727.894 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f981170/@canonicalize_axis_167:param_x_rank, user size: 1, first user: @canonicalize_axis_167:CNode_230{[0]: CNode_231, [1]: param_x_rank, [2]: ValueNode 0} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.728.032 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f980b30/@canonicalize_axis_167:param_axis, user size: 1, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.728.194 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f980b30/@canonicalize_axis_167:param_axis, user size: 2, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.728.334 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9868b0/@canonicalize_axis_167:ndim{[0]: CNode_173}, user size: 1, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.728.466 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f980b30/@canonicalize_axis_167:param_axis, user size: 3, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.728.634 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9dc730/@3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput}, user size: 2, first user: @✓3↓flatten_221:CNode_222{[0]: CNode_223, [1]: x_rank, [2]: CNode_224} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.728.759 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f946050/@flatten_174:param_end_dim, user size: 4, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.728.953 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f990e70/ValueNode canonicalize_axis_167, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.729.130 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9dc730/@3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput}, user size: 3, first user: @✓3↓flatten_221:CNode_222{[0]: CNode_223, [1]: x_rank, [2]: CNode_224} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.729.273 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9d83f0/@3↓flatten_178:param_фinput, user size: 3, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.729.420 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9c4f70/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 3, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.729.640 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa02b50/@4↓flatten_184:end_dim{[0]: ValueNode canonicalize_axis_167, [1]: param_end_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.729.806 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa010c0/@4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.729.972 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9d83f0/@3↓flatten_178:param_фinput, user size: 4, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.730.108 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9d83f0/@3↓flatten_178:param_фinput, user size: 5, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.730.246 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9c4f70/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 4, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.730.420 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa010c0/@4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.730.651 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa02b50/@4↓flatten_184:end_dim{[0]: ValueNode canonicalize_axis_167, [1]: param_end_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.730.805 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa010c0/@4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, user size: 3, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.731.003 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa1f5c0/@↵6↓flatten_232:param_фend_dim, user size: 1, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.731.136 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa21fe0/@↵6↓flatten_232:CNode_235{[0]: ValueNode Return, [1]: CNode_236}, user size: 1, first user: ValueNode ↵6↓flatten_232 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.731.279 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa1ea90/@↵6↓flatten_232:param_фidx, user size: 1, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.731.441 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa1ea90/@↵6↓flatten_232:param_фidx, user size: 2, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.731.644 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa23f80/@↵6↓flatten_232:param_фx_shape, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.731.917 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa357c0/@↵6↓flatten_232:param_фinput, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.732.153 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa35100/@↵6↓flatten_232:param_фreshape_, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.732.425 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa23f80/@↵6↓flatten_232:param_фx_shape, user size: 2, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.732.669 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa2c460/@↵6↓flatten_232:param_фstart_dim, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.732.856 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa25330/@↵6↓flatten_232:param_фdim_length, user size: 1, first user: @↻6↓flatten_237:dim_length{[0]: CNode_239, [1]: param_фdim_length, [2]: CNode_240} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.733.074 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa23f80/@↵6↓flatten_232:param_фx_shape, user size: 3, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.733.269 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4fa1f5c0/@↵6↓flatten_232:param_фend_dim, user size: 2, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.733.422 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9d83f0/@3↓flatten_178:param_фinput, user size: 6, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.733.659 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9d7d10/@flatten_174:CNode_179{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode shape_}, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.733.848 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f945ee0/@flatten_174:param_input, user size: 3, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.734.043 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9bf160/@✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input}, user size: 1, first user: @✓2↓flatten_215:CNode_241{[0]: CNode_242, [1]: x_rank, [2]: CNode_243} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.734.210 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9cbfa0/@flatten_174:CNode_244{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode ops}, user size: 1, first user: @↓✓2↓flatten_219:CNode_245{[0]: ValueNode getattr, [1]: CNode_244, [2]: ValueNode tuple_reversed} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.734.445 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f97f0b0/ValueNode check_dim_valid_183, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.734.678 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f990e70/ValueNode canonicalize_axis_167, user size: 3, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.734.916 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9f6f90/@flatten_174:CNode_182{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode flatten_}, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.735.083 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9c4f70/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 5, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.735.216 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f946050/@flatten_174:param_end_dim, user size: 5, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.735.361 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f945b40/@flatten_174:param_start_dim, user size: 5, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.735.486 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9bcfe0/@flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 3, first user: @✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.735.605 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f945ee0/@flatten_174:param_input, user size: 4, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.735.834 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9d7d10/@flatten_174:CNode_179{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode shape_}, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.735.997 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4f95f5f0, node: 0x4f9fbc90/@3↓flatten_178:CNode_246{[0]: ValueNode Return, [1]: CNode_247}, user size: 1, first user: ValueNode 3↓flatten_178 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.736.905 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:223] CheckFuncReturn] Function must has 'return' statement, but missing in function 'flatten' at /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640. FuncGraph: ↓check_axis_valid_193, location: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640~1735 def flatten(input, order='C', *, start_dim=1, end_dim=-1): ^ We will add a 'return None' statement automatically. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.737.349 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:223] CheckFuncReturn] Function must has 'return' statement, but missing in function 'flatten' at /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640. FuncGraph: ↓check_dim_valid_192, location: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640~1735 def flatten(input, order='C', *, start_dim=1, end_dim=-1): ^ We will add a 'return None' statement automatically. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.741.196 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.741.845 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.747.170 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9bdbd0/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 1, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.747.461 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f7a5000/@↓flatten_253:CNode_254{[0]: CNode_255, [1]: CNode_256}, user size: 1, first user: @↓flatten_253:CNode_257{[0]: ValueNode Cond, [1]: CNode_254, [2]: ValueNode false} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.747.608 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f792ad0/@flatten_249:CNode_258{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode int}, user size: 1, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.747.731 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9bdbd0/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 2, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.747.875 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fa90740/@↱↓flatten_259:CNode_260{[0]: CNode_261, [1]: CNode_262}, user size: 1, first user: @↱↓flatten_259:CNode_263{[0]: ValueNode Cond, [1]: CNode_260, [2]: ValueNode false} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.748.007 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd560/@flatten_249:param_start_dim, user size: 1, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.748.131 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9bdbd0/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 3, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.748.310 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f7ad460/@2↱↓flatten_264:CNode_265{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_266}, user size: 1, first user: @2↱↓flatten_264:CNode_267{[0]: ValueNode Cond, [1]: CNode_265, [2]: ValueNode false} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.748.463 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f792630/@flatten_249:CNode_266{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode bool}, user size: 1, first user: @2↱↓flatten_264:CNode_265{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_266} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.748.582 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd660/@flatten_249:param_end_dim, user size: 1, first user: @↱↓flatten_259:CNode_262{[0]: CNode_250, [1]: param_end_dim, [2]: CNode_258} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.748.713 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9bdbd0/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 4, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.748.944 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd2d0/@flatten_249:param_order, user size: 1, first user: @2↓flatten_268:CNode_269{[0]: CNode_270, [1]: param_order} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.749.119 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fcec0/@flatten_249:param_input, user size: 1, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.749.279 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fcec0/@flatten_249:param_input, user size: 2, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.749.495 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd560/@flatten_249:param_start_dim, user size: 2, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.749.646 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd660/@flatten_249:param_end_dim, user size: 2, first user: @↱↓flatten_259:CNode_262{[0]: CNode_250, [1]: param_end_dim, [2]: CNode_258} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.749.826 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fadf820/@3↓flatten_271:CNode_272{[0]: CNode_273, [1]: param_start_dim, [2]: ValueNode 1}, user size: 1, first user: @3↓flatten_271:CNode_274{[0]: ValueNode Cond, [1]: CNode_272, [2]: ValueNode false} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.749.999 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f7913b0/@flatten_249:CNode_275{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 1, first user: @✓2↓flatten_276:x_rank{[0]: CNode_275, [1]: param_input} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.750.154 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd160/@3↓flatten_271:param_фinput, user size: 1, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.750.311 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9ff090/@flatten_249:CNode_277{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 1, first user: @2✓2↓flatten_278:CNode_279{[0]: CNode_277, [1]: param_input, [2]: CNode_280} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.750.486 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd160/@3↓flatten_271:param_фinput, user size: 2, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.750.776 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fade130/@3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput}, user size: 1, first user: @✓3↓flatten_281:CNode_282{[0]: CNode_283, [1]: x_rank, [2]: CNode_284} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.750.938 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd560/@flatten_249:param_start_dim, user size: 3, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.751.186 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fb1a3e0/@check_axis_valid_285:CNode_286{[0]: CNode_287, [1]: param_axis, [2]: CNode_288}, user size: 1, first user: @check_axis_valid_285:CNode_289{[0]: ValueNode Cond, [1]: CNode_286, [2]: ValueNode false} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.751.318 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fb18530/@check_axis_valid_285:param_ndim, user size: 1, first user: @check_axis_valid_285:CNode_288{[0]: CNode_290, [1]: param_ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.751.430 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fb182e0/@check_axis_valid_285:param_axis, user size: 1, first user: @check_axis_valid_285:CNode_286{[0]: CNode_287, [1]: param_axis, [2]: CNode_288} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.751.618 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fb0ba10/@canonicalize_axis_291:param_x_rank, user size: 1, first user: @canonicalize_axis_291:CNode_292{[0]: CNode_293, [1]: param_x_rank, [2]: ValueNode 0} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.751.773 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fae3320/@canonicalize_axis_291:param_axis, user size: 1, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.751.916 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fae3320/@canonicalize_axis_291:param_axis, user size: 2, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.752.054 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fb0d040/@canonicalize_axis_291:ndim{[0]: CNode_295}, user size: 1, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.752.181 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fae3320/@canonicalize_axis_291:param_axis, user size: 3, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.752.369 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fade130/@3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput}, user size: 2, first user: @✓3↓flatten_281:CNode_282{[0]: CNode_283, [1]: x_rank, [2]: CNode_284} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.752.502 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd660/@flatten_249:param_end_dim, user size: 3, first user: @↱↓flatten_259:CNode_262{[0]: CNode_250, [1]: param_end_dim, [2]: CNode_258} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.752.635 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fb10260/ValueNode canonicalize_axis_291, user size: 1, first user: @4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.752.847 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fade130/@3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput}, user size: 3, first user: @✓3↓flatten_281:CNode_282{[0]: CNode_283, [1]: x_rank, [2]: CNode_284} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.753.008 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd160/@3↓flatten_271:param_фinput, user size: 3, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.753.179 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9ff090/@flatten_249:CNode_277{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 2, first user: @2✓2↓flatten_278:CNode_279{[0]: CNode_277, [1]: param_input, [2]: CNode_280} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.753.407 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4faebe90/@4↓flatten_296:end_dim{[0]: ValueNode canonicalize_axis_291, [1]: param_end_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.753.576 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4faec330/@4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.753.717 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd160/@3↓flatten_271:param_фinput, user size: 4, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.753.903 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4faec330/@4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.754.092 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4faebe90/@4↓flatten_296:end_dim{[0]: ValueNode canonicalize_axis_291, [1]: param_end_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.754.272 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4faf7af0/@↵6↓flatten_299:CNode_300{[0]: ValueNode Return, [1]: CNode_301}, user size: 1, first user: ValueNode ↵6↓flatten_299 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.754.457 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4faf7630/@↵6↓flatten_299:param_фidx, user size: 1, first user: @↵6↓flatten_299:CNode_302{[0]: CNode_303, [1]: param_фidx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.754.655 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4faf7630/@↵6↓flatten_299:param_фidx, user size: 2, first user: @↵6↓flatten_299:CNode_302{[0]: CNode_303, [1]: param_фidx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.754.788 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd160/@3↓flatten_271:param_фinput, user size: 5, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.754.921 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fd160/@3↓flatten_271:param_фinput, user size: 6, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.755.075 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9ff090/@flatten_249:CNode_277{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 3, first user: @2✓2↓flatten_278:CNode_279{[0]: CNode_277, [1]: param_input, [2]: CNode_280} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.755.279 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fade5c0/@3↓flatten_271:x_shape{[0]: CNode_304, [1]: param_фinput}, user size: 1, first user: @↻6↓flatten_305:CNode_306{[0]: CNode_307, [1]: x_shape, [2]: param_фidx} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.755.483 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4faec330/@4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank}, user size: 3, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.755.662 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4faf7860/@↵6↓flatten_299:param_фdim_length, user size: 1, first user: @↻6↓flatten_305:dim_length{[0]: CNode_308, [1]: param_фdim_length, [2]: CNode_306} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.755.842 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fade5c0/@3↓flatten_271:x_shape{[0]: CNode_304, [1]: param_фinput}, user size: 2, first user: @↻6↓flatten_305:CNode_306{[0]: CNode_307, [1]: x_shape, [2]: param_фidx} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.756.067 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4faebe90/@4↓flatten_296:end_dim{[0]: ValueNode canonicalize_axis_291, [1]: param_end_dim, [2]: x_rank}, user size: 3, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.756.212 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fcec0/@flatten_249:param_input, user size: 3, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.756.400 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fb331d0/@✓2↓flatten_276:x_rank{[0]: CNode_275, [1]: param_input}, user size: 1, first user: @✓2↓flatten_276:CNode_309{[0]: CNode_310, [1]: x_rank, [2]: CNode_311} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.756.558 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f791cf0/@flatten_249:CNode_312{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode ops}, user size: 1, first user: @↓✓2↓flatten_313:CNode_314{[0]: ValueNode getattr, [1]: CNode_312, [2]: ValueNode tuple_reversed} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.756.724 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4f9fcec0/@flatten_249:param_input, user size: 4, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.756.849 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4fa91460, node: 0x4fadd500/@3↓flatten_271:CNode_315{[0]: ValueNode Return, [1]: CNode_316}, user size: 1, first user: ValueNode 3↓flatten_271 [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.776.381 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_equal_string_317] Added global python symbol: {F : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.790.315 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_number_in_tuple_319] Added global python symbol: {F : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.791.491 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_number_in_tuple_319] Added global python symbol: {InSequence : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.792.162 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_number_in_tuple_319] Added global python symbol: {const_utils : } [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.805.427 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.813.741 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.814.446 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.814.917 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.819.980 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.821.209 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.822.745 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.829.863 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.830.625 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.831.079 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.832.225 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.833.269 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.834.558 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.841.668 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.842.324 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.842.817 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.843.684 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.846.252 [mindspore/_extends/parse/namespace.py:132] 'SoftmaxCrossEntropyWithLogits' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.847.199 [mindspore/_extends/parse/namespace.py:132] 'SoftmaxCrossEntropyWithLogits' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.848.070 [mindspore/_extends/parse/namespace.py:132] 'SoftmaxCrossEntropyWithLogits' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.849.403 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.862.000 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_322, [1]: param_gradients} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.862.573 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_323, [1]: gradients} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.863.025 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_324, [1]: gradients} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.863.439 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_325, [1]: gradients} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.864.551 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_326{[0]: CNode_327, [1]: CNode_328, [2]: CNode_329}, block: 0x4f5ec0c0/mindspore_nn_optim_momentum_Momentum_construct_321, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/optim/momentum.py:212, 8~74/ self.assignadd(self.global_step, self.global_step_increase_tensor)/ [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.865.489 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_optim_momentum_Momentum_construct_321] Added global python symbol: {F : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.875.408 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_optim_momentum_Momentum_construct_321] Added global python symbol: {_momentum_opt : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.876.815 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_330{[0]: ValueNode Depend, [1]: CNode_331, [2]: CNode_332}, state: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_326{[0]: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_327{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.optim.momentum..', [2]: ValueNode assignadd}, [1]: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_328{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.optim.momentum..', [2]: ValueNode global_step}, [2]: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_329{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.optim.momentum..', [2]: ValueNode global_step_increase_tensor}} [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.878.605 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.893.064 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {ops : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.893.535 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {_get_datatype : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.894.300 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {_cast_datatype : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.894.615 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {mstype : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.895.082 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333 update var `grads` with node @mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333:grads{[0]: CNode_334, [1]: CNode_335, [2]: param_grads} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.895.924 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {reduce_opt : } [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.899.796 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.901.111 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.901.794 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.908.306 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_ones_like_tensor_339] Added global python symbol: {P : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.916.996 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_env_get_341] Added global python symbol: {environ_get : Prim[EnvironGet]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.917.469 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_env_get_341] Added global python symbol: {ref_to_embed : Prim[RefToEmbed]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.917.913 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_env_get_341] Added global python symbol: {tensor_zeros_like : Prim[ZerosLike]} [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.936.059 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.943.904 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensors_get_datatype_344] Added global python symbol: {ops : } [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.960.027 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.960.683 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.961.051 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.961.697 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:29.962.587 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.968.762 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensors_cast_datatype_346] Added global python symbol: {ops : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:29.976.640 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [cast_347] Added global python symbol: {cast_op : Prim[Cast]} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.010.725 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensors_allreduce_349] Added global python symbol: {ops : } [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.780.11 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.789.76 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.795.65 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.825.47 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.845.85 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.857.13 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.863.12 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.942.35 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.953.46 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.100.224 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.105.401 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.114.726 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.120.313 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:30.121.120 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.128.569 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_run_opt_ext_353] Added global python symbol: {F : } [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.129.062 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1363] ParseConstant] The Constant is bool:True [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.195.834 [mindspore/ccsrc/pipeline/jit/ps/action.cc:316] AbstractAnalyze] function call depth: 0, simulate call depth: 0 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.196.854 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:313] Run] Specialize set top func graph context: {FuncGraph: mindspore_train_dataset_helper__DataWrapper_construct_354 Args: Parent: } [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.200.055 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @1_mindspore_train_dataset_helper__DataWrapper_construct_355:CNode_356{[0]: CNode_357}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.200.811 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @2_mindspore_train_dataset_helper__DataWrapper_construct_358:CNode_359{[0]: ValueNode MetaFuncGraph-unpack_call.7, [1]: CNode_360, [2]: outputs}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.201.353 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @3_UnpackCall_361:CNode_362{[0]: param_Parameter_363, [1]: CNode_364, [2]: CNode_365}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.201.877 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @4_mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_366:CNode_367{[0]: ValueNode ✓mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_368}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.202.193 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @5_✓mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_369:CNode_370{[0]: ValueNode MetaFuncGraph-unpack_call.10, [1]: CNode_371, [2]: CNode_372}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.202.842 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @6_UnpackCall_373:CNode_374{[0]: param_Parameter_375, [1]: CNode_376, [2]: CNode_377}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.204.897 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @7__no_sens_impl_378:CNode_379{[0]: ValueNode ✗_no_sens_impl_380}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.205.350 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @8_✗_no_sens_impl_381:CNode_382{[0]: ValueNode ↓_no_sens_impl_383}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.205.893 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @9_↓_no_sens_impl_384:CNode_385{[0]: ValueNode ✗↓_no_sens_impl_386}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.206.316 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @10_✗↓_no_sens_impl_387:CNode_388{[0]: ValueNode 2↓_no_sens_impl_389}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.206.688 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @9_↓_no_sens_impl_384:loss{[0]: ValueNode Depend, [1]: loss, [2]: CNode_390}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.206.878 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @9_↓_no_sens_impl_384:CNode_390{[0]: CNode_391, [1]: grads}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.207.621 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.207.745 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.207.817 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.207.887 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.207.962 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.208.024 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.208.090 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.208.165 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.208.432 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.208.583 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.208.683 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.208.770 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.208.849 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.208.932 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.209.017 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.209.111 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.209.213 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.209.298 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.209.377 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.209.454 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.209.538 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.209.621 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.209.743 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.209.853 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.229.582 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_50, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.229.720 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_50, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.229.818 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.229.882 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.229.948 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_40, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.230.052 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_40, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.230.124 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_40, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.230.213 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.230.286 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.240.583 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_69, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.240.820 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_69, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.240.938 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.241.007 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.241.086 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_59, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.241.205 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_59, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.241.291 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_59, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.241.404 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.241.488 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.246.394 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_88, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.246.619 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_88, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.246.743 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.246.815 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.246.935 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_78, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.247.064 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_78, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.247.156 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_78, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.247.264 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.247.342 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.286.579 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_392, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.286.779 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_392, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.287.111 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_392, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.289.765 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_393, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.289.934 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_393, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.290.012 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_393, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.324.115 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @198_mindspore_nn_optim_momentum_Momentum_construct_394:CNode_395{[0]: ValueNode Depend, [1]: CNode_396, [2]: CNode_397}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.324.347 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @198_mindspore_nn_optim_momentum_Momentum_construct_394:CNode_396{[0]: ValueNode ✗mindspore_nn_optim_momentum_Momentum_construct_398}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.324.555 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_global_step, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.324.642 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_global_step, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.324.729 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_global_step, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.325.113 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @199_✗mindspore_nn_optim_momentum_Momentum_construct_399:CNode_400{[0]: ValueNode 2✗mindspore_nn_optim_momentum_Momentum_construct_401}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.325.440 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @200_2✗mindspore_nn_optim_momentum_Momentum_construct_402:CNode_403{[0]: ValueNode ↓✗mindspore_nn_optim_momentum_Momentum_construct_404}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.325.694 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @201_↓✗mindspore_nn_optim_momentum_Momentum_construct_405:CNode_406{[0]: ValueNode ↓mindspore_nn_optim_momentum_Momentum_construct_407}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.326.035 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @200_2✗mindspore_nn_optim_momentum_Momentum_construct_402:success{[0]: ValueNode MetaFuncGraph-hyper_map.351, [1]: CNode_408, [2]: gradients, [3]: params, [4]: moments}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.326.285 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @200_2✗mindspore_nn_optim_momentum_Momentum_construct_402:CNode_409{[0]: ValueNode Partial, [1]: ValueNode MetaFuncGraph-S-signature.352, [2]: CNode_410, [3]: CNode_411, [4]: lr}, flag: 1 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.326.455 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.326.536 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.326.598 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.326.662 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.326.721 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.326.795 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.326.862 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.326.938 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.327.086 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.327.194 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.327.271 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.327.374 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.327.446 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.327.524 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.327.599 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.327.668 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.327.823 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.327.908 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.327.979 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.044 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.109 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.172 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.283 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.368 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.449 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.517 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.587 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.655 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.716 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.781 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.849 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.328.918 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.329.113 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.329.213 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.329.337 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.329.420 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.329.493 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.329.568 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.329.649 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.329.724 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.329.805 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.329.876 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.329.942 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.330.004 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.330.078 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.330.191 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.330.274 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.330.365 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.330.924 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.331.073 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.331.306 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.331.392 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.370.962 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓get_lr_412, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.371.156 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓get_lr_412, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.371.243 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for get_lr_413, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.371.304 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for get_lr_413, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.427.562 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end type_inference action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.428.016 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2396 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.428.166 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start auto_monad action. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.431.007 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:494] SendDataToAscend] Begin to send data to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.431.231 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:1195] PrintBeginInfoWhenFirstBatch] Loading dataset and begin to push first batch into device ... [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.431.489 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 0; host_queue: 0, 2; device_queue: 0; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> -1 push_start_time -> push_end_time 2025-07-15-11:45:30.431.181 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.431.803 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/auto_monad.cc:808] TraceGetItemEffectInfo] CNode has no side effect: @245_grad_mindspore_nn_wrap_cell_wrapper_WithLossCell_construct_414:CNode_415{[0]: ValueNode TupleGetItem, [1]: CNode_416, [2]: ValueNode 1} [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.436.592 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:1206] PrintEndInfoWhenFirstBatch] Loading dataset and push first batch into device successful. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.436.723 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 1 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.437.021 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end auto_monad action. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.437.574 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 1; host_queue: 0, 2, 3, 2; device_queue: 0, 1; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time 2025-07-15-11:45:30.431.181 -> 2025-07-15-11:45:30.436.752 2025-07-15-11:45:30.437.317 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.437.609 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.437.725 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start graph_reusing action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.437.928 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end graph_reusing action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.438.166 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.438.172 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 2 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.438.250 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start inline action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.438.292 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end inline action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.438.500 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.438.546 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 2; host_queue: 0, 2, 3, 2, 2, 1; device_queue: 0, 1, 2; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time 2025-07-15-11:45:30.431.181 -> 2025-07-15-11:45:30.436.752 2025-07-15-11:45:30.437.317 -> 2025-07-15-11:45:30.438.230 2025-07-15-11:45:30.438.405 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.438.574 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start add_attr action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.438.721 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_attr_with_inline start ... [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.438.911 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 3 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.439.206 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 3; host_queue: 0, 2, 3, 2, 2, 1, 1, 0; device_queue: 0, 1, 2, 3; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time 2025-07-15-11:45:30.431.181 -> 2025-07-15-11:45:30.436.752 2025-07-15-11:45:30.437.317 -> 2025-07-15-11:45:30.438.230 2025-07-15-11:45:30.438.405 -> 2025-07-15-11:45:30.438.955 2025-07-15-11:45:30.439.095 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.439.603 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 4 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.443.045 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 4; host_queue: 0, 2, 3, 2, 2, 1, 1, 0, 0, 1; device_queue: 0, 1, 2, 3, 4; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time 2025-07-15-11:45:30.431.181 -> 2025-07-15-11:45:30.436.752 2025-07-15-11:45:30.437.317 -> 2025-07-15-11:45:30.438.230 2025-07-15-11:45:30.438.405 -> 2025-07-15-11:45:30.438.955 2025-07-15-11:45:30.439.095 -> 2025-07-15-11:45:30.439.663 2025-07-15-11:45:30.442.818 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.443.603 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 5 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.446.676 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 5; host_queue: 3, 2, 2, 1, 1, 0, 0, 1, 1, 0; device_queue: 0, 1, 2, 3, 4, 5; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time 2025-07-15-11:45:30.431.181 -> 2025-07-15-11:45:30.436.752 2025-07-15-11:45:30.437.317 -> 2025-07-15-11:45:30.438.230 2025-07-15-11:45:30.438.405 -> 2025-07-15-11:45:30.438.955 2025-07-15-11:45:30.439.095 -> 2025-07-15-11:45:30.439.663 2025-07-15-11:45:30.442.818 -> 2025-07-15-11:45:30.443.649 2025-07-15-11:45:30.443.817 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.447.348 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 6 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.447.934 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 6; host_queue: 2, 1, 1, 0, 0, 1, 1, 0, 1, 0; device_queue: 0, 1, 2, 3, 4, 5, 6; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time 2025-07-15-11:45:30.431.181 -> 2025-07-15-11:45:30.436.752 2025-07-15-11:45:30.437.317 -> 2025-07-15-11:45:30.438.230 2025-07-15-11:45:30.438.405 -> 2025-07-15-11:45:30.438.955 2025-07-15-11:45:30.439.095 -> 2025-07-15-11:45:30.439.663 2025-07-15-11:45:30.442.818 -> 2025-07-15-11:45:30.443.649 2025-07-15-11:45:30.443.817 -> 2025-07-15-11:45:30.447.412 2025-07-15-11:45:30.447.668 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.448.428 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 7 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.451.820 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 7; host_queue: 1, 0, 0, 1, 1, 0, 1, 0, 0, 0; device_queue: 0, 1, 2, 3, 4, 5, 6, 7; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time 2025-07-15-11:45:30.431.181 -> 2025-07-15-11:45:30.436.752 2025-07-15-11:45:30.437.317 -> 2025-07-15-11:45:30.438.230 2025-07-15-11:45:30.438.405 -> 2025-07-15-11:45:30.438.955 2025-07-15-11:45:30.439.095 -> 2025-07-15-11:45:30.439.663 2025-07-15-11:45:30.442.818 -> 2025-07-15-11:45:30.443.649 2025-07-15-11:45:30.443.817 -> 2025-07-15-11:45:30.447.412 2025-07-15-11:45:30.447.668 -> 2025-07-15-11:45:30.448.487 2025-07-15-11:45:30.451.506 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.451.930 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [fill_417] Added global python symbol: {cast_ : Prim[Cast]} [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.452.586 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 8 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.453.789 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] fill_417 update var `value` with node @fill_417:value{[0]: CNode_418, [1]: param_value, [2]: param_type} [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.455.102 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [fill_417] Added global python symbol: {fillv2_ : Prim[FillV2]} [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.461.310 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 8; host_queue: 0, 1, 1, 0, 1, 0, 0, 0, 0, 0; device_queue: 0, 1, 2, 3, 4, 5, 6, 7, 8; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time 2025-07-15-11:45:30.431.181 -> 2025-07-15-11:45:30.436.752 2025-07-15-11:45:30.437.317 -> 2025-07-15-11:45:30.438.230 2025-07-15-11:45:30.438.405 -> 2025-07-15-11:45:30.438.955 2025-07-15-11:45:30.439.095 -> 2025-07-15-11:45:30.439.663 2025-07-15-11:45:30.442.818 -> 2025-07-15-11:45:30.443.649 2025-07-15-11:45:30.443.817 -> 2025-07-15-11:45:30.447.412 2025-07-15-11:45:30.447.668 -> 2025-07-15-11:45:30.448.487 2025-07-15-11:45:30.451.506 -> 2025-07-15-11:45:30.452.644 2025-07-15-11:45:30.461.030 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.461.948 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 9 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.462.806 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 9; host_queue: 1, 0, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time 2025-07-15-11:45:30.431.181 -> 2025-07-15-11:45:30.436.752 2025-07-15-11:45:30.437.317 -> 2025-07-15-11:45:30.438.230 2025-07-15-11:45:30.438.405 -> 2025-07-15-11:45:30.438.955 2025-07-15-11:45:30.439.095 -> 2025-07-15-11:45:30.439.663 2025-07-15-11:45:30.442.818 -> 2025-07-15-11:45:30.443.649 2025-07-15-11:45:30.443.817 -> 2025-07-15-11:45:30.447.412 2025-07-15-11:45:30.447.668 -> 2025-07-15-11:45:30.448.487 2025-07-15-11:45:30.451.506 -> 2025-07-15-11:45:30.452.644 2025-07-15-11:45:30.461.030 -> 2025-07-15-11:45:30.461.998 2025-07-15-11:45:30.462.310 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.463.385 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 10 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.465.026 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start add_attr.r1.j0.tag_attr [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.465.226 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:770] HandleAddAttr] HandleAddAttr pass start. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.468.204 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 10; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.436.752 2025-07-15-11:45:30.437.317 -> 2025-07-15-11:45:30.438.230 2025-07-15-11:45:30.438.405 -> 2025-07-15-11:45:30.438.955 2025-07-15-11:45:30.439.095 -> 2025-07-15-11:45:30.439.663 2025-07-15-11:45:30.442.818 -> 2025-07-15-11:45:30.443.649 2025-07-15-11:45:30.443.817 -> 2025-07-15-11:45:30.447.412 2025-07-15-11:45:30.447.668 -> 2025-07-15-11:45:30.448.487 2025-07-15-11:45:30.451.506 -> 2025-07-15-11:45:30.452.644 2025-07-15-11:45:30.461.030 -> 2025-07-15-11:45:30.461.998 2025-07-15-11:45:30.462.310 -> 2025-07-15-11:45:30.463.438 2025-07-15-11:45:30.467.805 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.470.700 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 11 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.471.773 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End add_attr.r1.j0.tag_attr.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.472.089 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start add_attr.r1.j0.meta_addattr_fg_expand [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.472.159 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 11; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 2, 3, 4, 5, 6, 7, 8, 9, 10, 11; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.438.230 2025-07-15-11:45:30.438.405 -> 2025-07-15-11:45:30.438.955 2025-07-15-11:45:30.439.095 -> 2025-07-15-11:45:30.439.663 2025-07-15-11:45:30.442.818 -> 2025-07-15-11:45:30.443.649 2025-07-15-11:45:30.443.817 -> 2025-07-15-11:45:30.447.412 2025-07-15-11:45:30.447.668 -> 2025-07-15-11:45:30.448.487 2025-07-15-11:45:30.451.506 -> 2025-07-15-11:45:30.452.644 2025-07-15-11:45:30.461.030 -> 2025-07-15-11:45:30.461.998 2025-07-15-11:45:30.462.310 -> 2025-07-15-11:45:30.463.438 2025-07-15-11:45:30.467.805 -> 2025-07-15-11:45:30.470.876 2025-07-15-11:45:30.471.610 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.473.492 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End add_attr.r1.j0.meta_addattr_fg_expand.unchanged [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.473.626 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_attr_with_inline end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.473.674 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end add_attr action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.474.023 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.474.135 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start parallel-infer-symbol action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.474.186 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end parallel-infer-symbol action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.474.346 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.474.415 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start pre_auto_parallel action. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.475.777 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 12 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.477.483 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 2810 us [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.477.651 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end pre_auto_parallel action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.478.148 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.478.278 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start insert-virtual-dataset action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.478.385 [mindspore/ccsrc/pipeline/jit/ps/pipeline_split.cc:402] ParallelVirtualDataset] Only auto_parallel and semi_auto_parallel support it. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.478.463 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end insert-virtual-dataset action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.478.702 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.478.798 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start parallel-infer-symbol-second action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.478.850 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end parallel-infer-symbol-second action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.478.990 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.479.067 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start dataset_repeat_opt action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.479.106 [mindspore/ccsrc/pipeline/jit/ps/pass.cc:1604] DatasetRepeatReaderOptPass] Only auto_parallel and semi_auto_parallel support dataset repeat optimizer. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.479.142 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end dataset_repeat_opt action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.479.264 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.479.332 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start pipeline_split action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.479.380 [mindspore/ccsrc/pipeline/jit/ps/pipeline_split.cc:235] ValidateParallelContext] Only auto_parallel and semi_auto_parallel support pipeline split. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.479.416 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end pipeline_split action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.479.541 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.479.615 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start optimize action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.479.791 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass py_interpret_to_execute start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.482.135 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass py_interpret_to_execute end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.482.282 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass rewriter_before_opt_a start ... [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.491.378 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 12; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 3, 4, 5, 6, 7, 8, 9, 10, 11, 12; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.438.955 2025-07-15-11:45:30.439.095 -> 2025-07-15-11:45:30.439.663 2025-07-15-11:45:30.442.818 -> 2025-07-15-11:45:30.443.649 2025-07-15-11:45:30.443.817 -> 2025-07-15-11:45:30.447.412 2025-07-15-11:45:30.447.668 -> 2025-07-15-11:45:30.448.487 2025-07-15-11:45:30.451.506 -> 2025-07-15-11:45:30.452.644 2025-07-15-11:45:30.461.030 -> 2025-07-15-11:45:30.461.998 2025-07-15-11:45:30.462.310 -> 2025-07-15-11:45:30.463.438 2025-07-15-11:45:30.467.805 -> 2025-07-15-11:45:30.470.876 2025-07-15-11:45:30.471.610 -> 2025-07-15-11:45:30.475.894 2025-07-15-11:45:30.491.150 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.491.507 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass rewriter_before_opt_a end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.491.722 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass opt_a start ... [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.491.813 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.expand_dump_flag [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.491.974 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 13 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.492.014 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.expand_dump_flag.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.492.078 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.492.129 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_switch_simplify [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.497.527 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 13; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 4, 5, 6, 7, 8, 9, 10, 11, 12, 13; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.439.663 2025-07-15-11:45:30.442.818 -> 2025-07-15-11:45:30.443.649 2025-07-15-11:45:30.443.817 -> 2025-07-15-11:45:30.447.412 2025-07-15-11:45:30.447.668 -> 2025-07-15-11:45:30.448.487 2025-07-15-11:45:30.451.506 -> 2025-07-15-11:45:30.452.644 2025-07-15-11:45:30.461.030 -> 2025-07-15-11:45:30.461.998 2025-07-15-11:45:30.462.310 -> 2025-07-15-11:45:30.463.438 2025-07-15-11:45:30.467.805 -> 2025-07-15-11:45:30.470.876 2025-07-15-11:45:30.471.610 -> 2025-07-15-11:45:30.475.894 2025-07-15-11:45:30.491.150 -> 2025-07-15-11:45:30.492.027 2025-07-15-11:45:30.497.301 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.497.597 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.switch_simplify.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.497.785 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.loop_unroll [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.497.848 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_loop_unroll [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.498.089 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 14 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.501.940 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.loop_unroll.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.502.111 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.502.203 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_a_1 [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.506.863 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 14; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 5, 6, 7, 8, 9, 10, 11, 12, 13, 14; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.443.649 2025-07-15-11:45:30.443.817 -> 2025-07-15-11:45:30.447.412 2025-07-15-11:45:30.447.668 -> 2025-07-15-11:45:30.448.487 2025-07-15-11:45:30.451.506 -> 2025-07-15-11:45:30.452.644 2025-07-15-11:45:30.461.030 -> 2025-07-15-11:45:30.461.998 2025-07-15-11:45:30.462.310 -> 2025-07-15-11:45:30.463.438 2025-07-15-11:45:30.467.805 -> 2025-07-15-11:45:30.470.876 2025-07-15-11:45:30.471.610 -> 2025-07-15-11:45:30.475.894 2025-07-15-11:45:30.491.150 -> 2025-07-15-11:45:30.492.027 2025-07-15-11:45:30.497.301 -> 2025-07-15-11:45:30.498.149 2025-07-15-11:45:30.506.636 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.507.383 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 15 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.513.007 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 15; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 6, 7, 8, 9, 10, 11, 12, 13, 14, 15; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.447.412 2025-07-15-11:45:30.447.668 -> 2025-07-15-11:45:30.448.487 2025-07-15-11:45:30.451.506 -> 2025-07-15-11:45:30.452.644 2025-07-15-11:45:30.461.030 -> 2025-07-15-11:45:30.461.998 2025-07-15-11:45:30.462.310 -> 2025-07-15-11:45:30.463.438 2025-07-15-11:45:30.467.805 -> 2025-07-15-11:45:30.470.876 2025-07-15-11:45:30.471.610 -> 2025-07-15-11:45:30.475.894 2025-07-15-11:45:30.491.150 -> 2025-07-15-11:45:30.492.027 2025-07-15-11:45:30.497.301 -> 2025-07-15-11:45:30.498.149 2025-07-15-11:45:30.506.636 -> 2025-07-15-11:45:30.507.423 2025-07-15-11:45:30.512.741 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.513.577 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 16 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.525.380 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 16; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 7, 8, 9, 10, 11, 12, 13, 14, 15, 16; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.448.487 2025-07-15-11:45:30.451.506 -> 2025-07-15-11:45:30.452.644 2025-07-15-11:45:30.461.030 -> 2025-07-15-11:45:30.461.998 2025-07-15-11:45:30.462.310 -> 2025-07-15-11:45:30.463.438 2025-07-15-11:45:30.467.805 -> 2025-07-15-11:45:30.470.876 2025-07-15-11:45:30.471.610 -> 2025-07-15-11:45:30.475.894 2025-07-15-11:45:30.491.150 -> 2025-07-15-11:45:30.492.027 2025-07-15-11:45:30.497.301 -> 2025-07-15-11:45:30.498.149 2025-07-15-11:45:30.506.636 -> 2025-07-15-11:45:30.507.423 2025-07-15-11:45:30.512.741 -> 2025-07-15-11:45:30.513.624 2025-07-15-11:45:30.525.151 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.525.945 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 17 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.533.224 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 17; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 1; device_queue: 8, 9, 10, 11, 12, 13, 14, 15, 16, 17; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.452.644 2025-07-15-11:45:30.461.030 -> 2025-07-15-11:45:30.461.998 2025-07-15-11:45:30.462.310 -> 2025-07-15-11:45:30.463.438 2025-07-15-11:45:30.467.805 -> 2025-07-15-11:45:30.470.876 2025-07-15-11:45:30.471.610 -> 2025-07-15-11:45:30.475.894 2025-07-15-11:45:30.491.150 -> 2025-07-15-11:45:30.492.027 2025-07-15-11:45:30.497.301 -> 2025-07-15-11:45:30.498.149 2025-07-15-11:45:30.506.636 -> 2025-07-15-11:45:30.507.423 2025-07-15-11:45:30.512.741 -> 2025-07-15-11:45:30.513.624 2025-07-15-11:45:30.525.151 -> 2025-07-15-11:45:30.525.998 2025-07-15-11:45:30.533.002 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.533.784 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 18 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.534.189 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 18; host_queue: 0, 0, 0, 0, 0, 0, 0, 1, 1, 0; device_queue: 9, 10, 11, 12, 13, 14, 15, 16, 17, 18; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.461.998 2025-07-15-11:45:30.462.310 -> 2025-07-15-11:45:30.463.438 2025-07-15-11:45:30.467.805 -> 2025-07-15-11:45:30.470.876 2025-07-15-11:45:30.471.610 -> 2025-07-15-11:45:30.475.894 2025-07-15-11:45:30.491.150 -> 2025-07-15-11:45:30.492.027 2025-07-15-11:45:30.497.301 -> 2025-07-15-11:45:30.498.149 2025-07-15-11:45:30.506.636 -> 2025-07-15-11:45:30.507.423 2025-07-15-11:45:30.512.741 -> 2025-07-15-11:45:30.513.624 2025-07-15-11:45:30.525.151 -> 2025-07-15-11:45:30.525.998 2025-07-15-11:45:30.533.002 -> 2025-07-15-11:45:30.533.823 2025-07-15-11:45:30.534.045 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.534.590 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 19 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.535.416 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 19; host_queue: 0, 0, 0, 0, 0, 1, 1, 0, 0, 0; device_queue: 10, 11, 12, 13, 14, 15, 16, 17, 18, 19; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.463.438 2025-07-15-11:45:30.467.805 -> 2025-07-15-11:45:30.470.876 2025-07-15-11:45:30.471.610 -> 2025-07-15-11:45:30.475.894 2025-07-15-11:45:30.491.150 -> 2025-07-15-11:45:30.492.027 2025-07-15-11:45:30.497.301 -> 2025-07-15-11:45:30.498.149 2025-07-15-11:45:30.506.636 -> 2025-07-15-11:45:30.507.423 2025-07-15-11:45:30.512.741 -> 2025-07-15-11:45:30.513.624 2025-07-15-11:45:30.525.151 -> 2025-07-15-11:45:30.525.998 2025-07-15-11:45:30.533.002 -> 2025-07-15-11:45:30.533.823 2025-07-15-11:45:30.534.045 -> 2025-07-15-11:45:30.534.627 2025-07-15-11:45:30.535.273 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.545.192 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 20 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.547.531 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 20; host_queue: 0, 0, 0, 1, 1, 0, 0, 0, 0, 0; device_queue: 11, 12, 13, 14, 15, 16, 17, 18, 19, 20; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.470.876 2025-07-15-11:45:30.471.610 -> 2025-07-15-11:45:30.475.894 2025-07-15-11:45:30.491.150 -> 2025-07-15-11:45:30.492.027 2025-07-15-11:45:30.497.301 -> 2025-07-15-11:45:30.498.149 2025-07-15-11:45:30.506.636 -> 2025-07-15-11:45:30.507.423 2025-07-15-11:45:30.512.741 -> 2025-07-15-11:45:30.513.624 2025-07-15-11:45:30.525.151 -> 2025-07-15-11:45:30.525.998 2025-07-15-11:45:30.533.002 -> 2025-07-15-11:45:30.533.823 2025-07-15-11:45:30.534.045 -> 2025-07-15-11:45:30.534.627 2025-07-15-11:45:30.535.273 -> 2025-07-15-11:45:30.545.275 2025-07-15-11:45:30.547.313 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.548.063 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 21 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.550.115 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 21; host_queue: 0, 1, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 12, 13, 14, 15, 16, 17, 18, 19, 20, 21; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.475.894 2025-07-15-11:45:30.491.150 -> 2025-07-15-11:45:30.492.027 2025-07-15-11:45:30.497.301 -> 2025-07-15-11:45:30.498.149 2025-07-15-11:45:30.506.636 -> 2025-07-15-11:45:30.507.423 2025-07-15-11:45:30.512.741 -> 2025-07-15-11:45:30.513.624 2025-07-15-11:45:30.525.151 -> 2025-07-15-11:45:30.525.998 2025-07-15-11:45:30.533.002 -> 2025-07-15-11:45:30.533.823 2025-07-15-11:45:30.534.045 -> 2025-07-15-11:45:30.534.627 2025-07-15-11:45:30.535.273 -> 2025-07-15-11:45:30.545.275 2025-07-15-11:45:30.547.313 -> 2025-07-15-11:45:30.548.108 2025-07-15-11:45:30.549.917 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.550.634 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 22 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.555.810 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 22; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 13, 14, 15, 16, 17, 18, 19, 20, 21, 22; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.492.027 2025-07-15-11:45:30.497.301 -> 2025-07-15-11:45:30.498.149 2025-07-15-11:45:30.506.636 -> 2025-07-15-11:45:30.507.423 2025-07-15-11:45:30.512.741 -> 2025-07-15-11:45:30.513.624 2025-07-15-11:45:30.525.151 -> 2025-07-15-11:45:30.525.998 2025-07-15-11:45:30.533.002 -> 2025-07-15-11:45:30.533.823 2025-07-15-11:45:30.534.045 -> 2025-07-15-11:45:30.534.627 2025-07-15-11:45:30.535.273 -> 2025-07-15-11:45:30.545.275 2025-07-15-11:45:30.547.313 -> 2025-07-15-11:45:30.548.108 2025-07-15-11:45:30.549.917 -> 2025-07-15-11:45:30.550.678 2025-07-15-11:45:30.555.580 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.556.356 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 23 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.559.165 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 23; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 14, 15, 16, 17, 18, 19, 20, 21, 22, 23; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.498.149 2025-07-15-11:45:30.506.636 -> 2025-07-15-11:45:30.507.423 2025-07-15-11:45:30.512.741 -> 2025-07-15-11:45:30.513.624 2025-07-15-11:45:30.525.151 -> 2025-07-15-11:45:30.525.998 2025-07-15-11:45:30.533.002 -> 2025-07-15-11:45:30.533.823 2025-07-15-11:45:30.534.045 -> 2025-07-15-11:45:30.534.627 2025-07-15-11:45:30.535.273 -> 2025-07-15-11:45:30.545.275 2025-07-15-11:45:30.547.313 -> 2025-07-15-11:45:30.548.108 2025-07-15-11:45:30.549.917 -> 2025-07-15-11:45:30.550.678 2025-07-15-11:45:30.555.580 -> 2025-07-15-11:45:30.556.401 2025-07-15-11:45:30.558.949 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.559.724 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 24 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.564.092 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 24; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 15, 16, 17, 18, 19, 20, 21, 22, 23, 24; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.507.423 2025-07-15-11:45:30.512.741 -> 2025-07-15-11:45:30.513.624 2025-07-15-11:45:30.525.151 -> 2025-07-15-11:45:30.525.998 2025-07-15-11:45:30.533.002 -> 2025-07-15-11:45:30.533.823 2025-07-15-11:45:30.534.045 -> 2025-07-15-11:45:30.534.627 2025-07-15-11:45:30.535.273 -> 2025-07-15-11:45:30.545.275 2025-07-15-11:45:30.547.313 -> 2025-07-15-11:45:30.548.108 2025-07-15-11:45:30.549.917 -> 2025-07-15-11:45:30.550.678 2025-07-15-11:45:30.555.580 -> 2025-07-15-11:45:30.556.401 2025-07-15-11:45:30.558.949 -> 2025-07-15-11:45:30.559.772 2025-07-15-11:45:30.563.851 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.564.695 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 25 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.566.612 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 25; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 16, 17, 18, 19, 20, 21, 22, 23, 24, 25; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.513.624 2025-07-15-11:45:30.525.151 -> 2025-07-15-11:45:30.525.998 2025-07-15-11:45:30.533.002 -> 2025-07-15-11:45:30.533.823 2025-07-15-11:45:30.534.045 -> 2025-07-15-11:45:30.534.627 2025-07-15-11:45:30.535.273 -> 2025-07-15-11:45:30.545.275 2025-07-15-11:45:30.547.313 -> 2025-07-15-11:45:30.548.108 2025-07-15-11:45:30.549.917 -> 2025-07-15-11:45:30.550.678 2025-07-15-11:45:30.555.580 -> 2025-07-15-11:45:30.556.401 2025-07-15-11:45:30.558.949 -> 2025-07-15-11:45:30.559.772 2025-07-15-11:45:30.563.851 -> 2025-07-15-11:45:30.564.746 2025-07-15-11:45:30.566.392 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.567.177 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 26 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.572.482 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 26; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 17, 18, 19, 20, 21, 22, 23, 24, 25, 26; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.525.998 2025-07-15-11:45:30.533.002 -> 2025-07-15-11:45:30.533.823 2025-07-15-11:45:30.534.045 -> 2025-07-15-11:45:30.534.627 2025-07-15-11:45:30.535.273 -> 2025-07-15-11:45:30.545.275 2025-07-15-11:45:30.547.313 -> 2025-07-15-11:45:30.548.108 2025-07-15-11:45:30.549.917 -> 2025-07-15-11:45:30.550.678 2025-07-15-11:45:30.555.580 -> 2025-07-15-11:45:30.556.401 2025-07-15-11:45:30.558.949 -> 2025-07-15-11:45:30.559.772 2025-07-15-11:45:30.563.851 -> 2025-07-15-11:45:30.564.746 2025-07-15-11:45:30.566.392 -> 2025-07-15-11:45:30.567.226 2025-07-15-11:45:30.572.253 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.573.069 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 27 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.575.022 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 27; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 18, 19, 20, 21, 22, 23, 24, 25, 26, 27; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.533.823 2025-07-15-11:45:30.534.045 -> 2025-07-15-11:45:30.534.627 2025-07-15-11:45:30.535.273 -> 2025-07-15-11:45:30.545.275 2025-07-15-11:45:30.547.313 -> 2025-07-15-11:45:30.548.108 2025-07-15-11:45:30.549.917 -> 2025-07-15-11:45:30.550.678 2025-07-15-11:45:30.555.580 -> 2025-07-15-11:45:30.556.401 2025-07-15-11:45:30.558.949 -> 2025-07-15-11:45:30.559.772 2025-07-15-11:45:30.563.851 -> 2025-07-15-11:45:30.564.746 2025-07-15-11:45:30.566.392 -> 2025-07-15-11:45:30.567.226 2025-07-15-11:45:30.572.253 -> 2025-07-15-11:45:30.573.121 2025-07-15-11:45:30.574.835 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.575.499 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 28 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.577.102 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 28; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 19, 20, 21, 22, 23, 24, 25, 26, 27, 28; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.534.627 2025-07-15-11:45:30.535.273 -> 2025-07-15-11:45:30.545.275 2025-07-15-11:45:30.547.313 -> 2025-07-15-11:45:30.548.108 2025-07-15-11:45:30.549.917 -> 2025-07-15-11:45:30.550.678 2025-07-15-11:45:30.555.580 -> 2025-07-15-11:45:30.556.401 2025-07-15-11:45:30.558.949 -> 2025-07-15-11:45:30.559.772 2025-07-15-11:45:30.563.851 -> 2025-07-15-11:45:30.564.746 2025-07-15-11:45:30.566.392 -> 2025-07-15-11:45:30.567.226 2025-07-15-11:45:30.572.253 -> 2025-07-15-11:45:30.573.121 2025-07-15-11:45:30.574.835 -> 2025-07-15-11:45:30.575.569 2025-07-15-11:45:30.576.916 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.577.591 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 29 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.584.334 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 29; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 20, 21, 22, 23, 24, 25, 26, 27, 28, 29; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.545.275 2025-07-15-11:45:30.547.313 -> 2025-07-15-11:45:30.548.108 2025-07-15-11:45:30.549.917 -> 2025-07-15-11:45:30.550.678 2025-07-15-11:45:30.555.580 -> 2025-07-15-11:45:30.556.401 2025-07-15-11:45:30.558.949 -> 2025-07-15-11:45:30.559.772 2025-07-15-11:45:30.563.851 -> 2025-07-15-11:45:30.564.746 2025-07-15-11:45:30.566.392 -> 2025-07-15-11:45:30.567.226 2025-07-15-11:45:30.572.253 -> 2025-07-15-11:45:30.573.121 2025-07-15-11:45:30.574.835 -> 2025-07-15-11:45:30.575.569 2025-07-15-11:45:30.576.916 -> 2025-07-15-11:45:30.577.636 2025-07-15-11:45:30.584.106 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.585.039 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 30 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.586.234 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 30; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 21, 22, 23, 24, 25, 26, 27, 28, 29, 30; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.548.108 2025-07-15-11:45:30.549.917 -> 2025-07-15-11:45:30.550.678 2025-07-15-11:45:30.555.580 -> 2025-07-15-11:45:30.556.401 2025-07-15-11:45:30.558.949 -> 2025-07-15-11:45:30.559.772 2025-07-15-11:45:30.563.851 -> 2025-07-15-11:45:30.564.746 2025-07-15-11:45:30.566.392 -> 2025-07-15-11:45:30.567.226 2025-07-15-11:45:30.572.253 -> 2025-07-15-11:45:30.573.121 2025-07-15-11:45:30.574.835 -> 2025-07-15-11:45:30.575.569 2025-07-15-11:45:30.576.916 -> 2025-07-15-11:45:30.577.636 2025-07-15-11:45:30.584.106 -> 2025-07-15-11:45:30.585.088 2025-07-15-11:45:30.586.062 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.586.723 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 31 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.591.484 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 31; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 22, 23, 24, 25, 26, 27, 28, 29, 30, 31; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.550.678 2025-07-15-11:45:30.555.580 -> 2025-07-15-11:45:30.556.401 2025-07-15-11:45:30.558.949 -> 2025-07-15-11:45:30.559.772 2025-07-15-11:45:30.563.851 -> 2025-07-15-11:45:30.564.746 2025-07-15-11:45:30.566.392 -> 2025-07-15-11:45:30.567.226 2025-07-15-11:45:30.572.253 -> 2025-07-15-11:45:30.573.121 2025-07-15-11:45:30.574.835 -> 2025-07-15-11:45:30.575.569 2025-07-15-11:45:30.576.916 -> 2025-07-15-11:45:30.577.636 2025-07-15-11:45:30.584.106 -> 2025-07-15-11:45:30.585.088 2025-07-15-11:45:30.586.062 -> 2025-07-15-11:45:30.586.768 2025-07-15-11:45:30.591.260 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.592.054 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 32 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.594.838 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 32; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 23, 24, 25, 26, 27, 28, 29, 30, 31, 32; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.556.401 2025-07-15-11:45:30.558.949 -> 2025-07-15-11:45:30.559.772 2025-07-15-11:45:30.563.851 -> 2025-07-15-11:45:30.564.746 2025-07-15-11:45:30.566.392 -> 2025-07-15-11:45:30.567.226 2025-07-15-11:45:30.572.253 -> 2025-07-15-11:45:30.573.121 2025-07-15-11:45:30.574.835 -> 2025-07-15-11:45:30.575.569 2025-07-15-11:45:30.576.916 -> 2025-07-15-11:45:30.577.636 2025-07-15-11:45:30.584.106 -> 2025-07-15-11:45:30.585.088 2025-07-15-11:45:30.586.062 -> 2025-07-15-11:45:30.586.768 2025-07-15-11:45:30.591.260 -> 2025-07-15-11:45:30.592.103 2025-07-15-11:45:30.594.622 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.595.374 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 33 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.599.569 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 33; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 24, 25, 26, 27, 28, 29, 30, 31, 32, 33; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.559.772 2025-07-15-11:45:30.563.851 -> 2025-07-15-11:45:30.564.746 2025-07-15-11:45:30.566.392 -> 2025-07-15-11:45:30.567.226 2025-07-15-11:45:30.572.253 -> 2025-07-15-11:45:30.573.121 2025-07-15-11:45:30.574.835 -> 2025-07-15-11:45:30.575.569 2025-07-15-11:45:30.576.916 -> 2025-07-15-11:45:30.577.636 2025-07-15-11:45:30.584.106 -> 2025-07-15-11:45:30.585.088 2025-07-15-11:45:30.586.062 -> 2025-07-15-11:45:30.586.768 2025-07-15-11:45:30.591.260 -> 2025-07-15-11:45:30.592.103 2025-07-15-11:45:30.594.622 -> 2025-07-15-11:45:30.595.423 2025-07-15-11:45:30.599.332 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.600.153 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 34 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.603.322 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 34; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 25, 26, 27, 28, 29, 30, 31, 32, 33, 34; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.564.746 2025-07-15-11:45:30.566.392 -> 2025-07-15-11:45:30.567.226 2025-07-15-11:45:30.572.253 -> 2025-07-15-11:45:30.573.121 2025-07-15-11:45:30.574.835 -> 2025-07-15-11:45:30.575.569 2025-07-15-11:45:30.576.916 -> 2025-07-15-11:45:30.577.636 2025-07-15-11:45:30.584.106 -> 2025-07-15-11:45:30.585.088 2025-07-15-11:45:30.586.062 -> 2025-07-15-11:45:30.586.768 2025-07-15-11:45:30.591.260 -> 2025-07-15-11:45:30.592.103 2025-07-15-11:45:30.594.622 -> 2025-07-15-11:45:30.595.423 2025-07-15-11:45:30.599.332 -> 2025-07-15-11:45:30.600.201 2025-07-15-11:45:30.603.083 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.603.914 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 35 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.605.831 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_1.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.605.995 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.invalid_dout_check [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.606.671 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.invalid_dout_check.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.606.769 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.recompute_prepare [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.606.814 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_recompute_prepare [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.607.051 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 35; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 26, 27, 28, 29, 30, 31, 32, 33, 34, 35; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.567.226 2025-07-15-11:45:30.572.253 -> 2025-07-15-11:45:30.573.121 2025-07-15-11:45:30.574.835 -> 2025-07-15-11:45:30.575.569 2025-07-15-11:45:30.576.916 -> 2025-07-15-11:45:30.577.636 2025-07-15-11:45:30.584.106 -> 2025-07-15-11:45:30.585.088 2025-07-15-11:45:30.586.062 -> 2025-07-15-11:45:30.586.768 2025-07-15-11:45:30.591.260 -> 2025-07-15-11:45:30.592.103 2025-07-15-11:45:30.594.622 -> 2025-07-15-11:45:30.595.423 2025-07-15-11:45:30.599.332 -> 2025-07-15-11:45:30.600.201 2025-07-15-11:45:30.603.083 -> 2025-07-15-11:45:30.603.966 2025-07-15-11:45:30.606.792 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.607.597 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 36 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.607.601 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.recompute_prepare.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.607.702 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.updatestate_depend_eliminate [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.608.542 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 36; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 27, 28, 29, 30, 31, 32, 33, 34, 35, 36; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.573.121 2025-07-15-11:45:30.574.835 -> 2025-07-15-11:45:30.575.569 2025-07-15-11:45:30.576.916 -> 2025-07-15-11:45:30.577.636 2025-07-15-11:45:30.584.106 -> 2025-07-15-11:45:30.585.088 2025-07-15-11:45:30.586.062 -> 2025-07-15-11:45:30.586.768 2025-07-15-11:45:30.591.260 -> 2025-07-15-11:45:30.592.103 2025-07-15-11:45:30.594.622 -> 2025-07-15-11:45:30.595.423 2025-07-15-11:45:30.599.332 -> 2025-07-15-11:45:30.600.201 2025-07-15-11:45:30.603.083 -> 2025-07-15-11:45:30.603.966 2025-07-15-11:45:30.606.792 -> 2025-07-15-11:45:30.607.645 2025-07-15-11:45:30.608.299 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.609.002 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 37 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.609.361 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.updatestate_depend_eliminate.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.609.546 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.610.102 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.610.208 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.611.458 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.updatestate_loads_eliminate.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.611.631 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.parameter_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.611.744 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.parameter_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.611.795 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_2 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.611.837 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r1_a_2 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.611.901 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.612.349 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.612.481 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.612.930 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.613.016 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.613.418 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.613.500 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.613.911 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.613.987 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.614.388 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.614.509 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.614.983 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.615.074 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.615.532 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.615.629 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.616.107 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.616.202 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.616.760 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.616.855 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.617.225 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 37; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 28, 29, 30, 31, 32, 33, 34, 35, 36, 37; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.575.569 2025-07-15-11:45:30.576.916 -> 2025-07-15-11:45:30.577.636 2025-07-15-11:45:30.584.106 -> 2025-07-15-11:45:30.585.088 2025-07-15-11:45:30.586.062 -> 2025-07-15-11:45:30.586.768 2025-07-15-11:45:30.591.260 -> 2025-07-15-11:45:30.592.103 2025-07-15-11:45:30.594.622 -> 2025-07-15-11:45:30.595.423 2025-07-15-11:45:30.599.332 -> 2025-07-15-11:45:30.600.201 2025-07-15-11:45:30.603.083 -> 2025-07-15-11:45:30.603.966 2025-07-15-11:45:30.606.792 -> 2025-07-15-11:45:30.607.645 2025-07-15-11:45:30.608.299 -> 2025-07-15-11:45:30.609.044 2025-07-15-11:45:30.616.989 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.617.394 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.617.498 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.617.803 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 38 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.617.915 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.617.996 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.618.496 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.618.601 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.619.059 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.619.155 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.619.589 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.619.674 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.620.174 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.620.268 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.620.898 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.621.012 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.621.456 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.621.533 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.621.923 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.622.010 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.622.321 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 38; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 29, 30, 31, 32, 33, 34, 35, 36, 37, 38; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.577.636 2025-07-15-11:45:30.584.106 -> 2025-07-15-11:45:30.585.088 2025-07-15-11:45:30.586.062 -> 2025-07-15-11:45:30.586.768 2025-07-15-11:45:30.591.260 -> 2025-07-15-11:45:30.592.103 2025-07-15-11:45:30.594.622 -> 2025-07-15-11:45:30.595.423 2025-07-15-11:45:30.599.332 -> 2025-07-15-11:45:30.600.201 2025-07-15-11:45:30.603.083 -> 2025-07-15-11:45:30.603.966 2025-07-15-11:45:30.606.792 -> 2025-07-15-11:45:30.607.645 2025-07-15-11:45:30.608.299 -> 2025-07-15-11:45:30.609.044 2025-07-15-11:45:30.616.989 -> 2025-07-15-11:45:30.617.871 2025-07-15-11:45:30.622.023 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.622.508 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.622.601 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.622.908 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 39 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.622.984 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.623.049 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.623.463 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.623.534 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.623.949 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.624.030 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.624.493 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.624.574 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.625.068 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.625.159 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.625.628 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.625.729 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.626.303 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.626.409 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.626.971 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.627.055 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.627.464 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.627.538 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.627.933 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 39; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 30, 31, 32, 33, 34, 35, 36, 37, 38, 39; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.585.088 2025-07-15-11:45:30.586.062 -> 2025-07-15-11:45:30.586.768 2025-07-15-11:45:30.591.260 -> 2025-07-15-11:45:30.592.103 2025-07-15-11:45:30.594.622 -> 2025-07-15-11:45:30.595.423 2025-07-15-11:45:30.599.332 -> 2025-07-15-11:45:30.600.201 2025-07-15-11:45:30.603.083 -> 2025-07-15-11:45:30.603.966 2025-07-15-11:45:30.606.792 -> 2025-07-15-11:45:30.607.645 2025-07-15-11:45:30.608.299 -> 2025-07-15-11:45:30.609.044 2025-07-15-11:45:30.616.989 -> 2025-07-15-11:45:30.617.871 2025-07-15-11:45:30.622.023 -> 2025-07-15-11:45:30.622.962 2025-07-15-11:45:30.627.697 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.627.957 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.628.242 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.628.606 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 40 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.628.706 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.628.779 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.629.186 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.629.259 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.629.688 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.629.822 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.630.299 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.630.380 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.630.883 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.630.982 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_2.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.631.068 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.accelerated_algorithm [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.631.129 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_accelerated_algorithm [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.631.621 [mindspore/ccsrc/frontend/optimizer/opt.cc:242] ApplyIRToSubstitutions] There may be a problem. Substitution: opt_a.r1.accelerated_algorithm.less_batch_normalization [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.632.099 [mindspore/ccsrc/frontend/optimizer/opt.cc:242] ApplyIRToSubstitutions] There may be a problem. Substitution: opt_a.r1.accelerated_algorithm.less_batch_normalization [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.632.505 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.accelerated_algorithm.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.632.609 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.shard [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.632.634 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 40; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 31, 32, 33, 34, 35, 36, 37, 38, 39, 40; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.586.768 2025-07-15-11:45:30.591.260 -> 2025-07-15-11:45:30.592.103 2025-07-15-11:45:30.594.622 -> 2025-07-15-11:45:30.595.423 2025-07-15-11:45:30.599.332 -> 2025-07-15-11:45:30.600.201 2025-07-15-11:45:30.603.083 -> 2025-07-15-11:45:30.603.966 2025-07-15-11:45:30.606.792 -> 2025-07-15-11:45:30.607.645 2025-07-15-11:45:30.608.299 -> 2025-07-15-11:45:30.609.044 2025-07-15-11:45:30.616.989 -> 2025-07-15-11:45:30.617.871 2025-07-15-11:45:30.622.023 -> 2025-07-15-11:45:30.622.962 2025-07-15-11:45:30.627.697 -> 2025-07-15-11:45:30.628.662 2025-07-15-11:45:30.632.275 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.632.660 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:627] Shard] Shard pass starts. [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.632.943 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:630] Shard] Shard Prim don't exist, skip Shard pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.632.997 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.shard.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.633.051 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.meta_shard_fg_expand [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.633.163 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 41 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.633.373 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.meta_shard_fg_expand.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.633.458 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.shard_inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.633.508 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_shard_inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.634.059 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.shard_inline.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.634.175 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_send_recv [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.634.881 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_send_recv.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.635.004 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.auto_parallel [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.635.330 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 255 us [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.635.387 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.auto_parallel.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.635.442 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.parallel [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.635.619 [mindspore/ccsrc/frontend/parallel/step_parallel.cc:123] StepParallel] Strategies would be ignored in data_parallel, shard() only valid in [semi_]auto_parallel. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.635.672 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.parallel.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.635.724 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.flash_sp [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.636.095 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.flash_sp.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.636.207 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_comm [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.636.647 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_comm.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.636.750 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.allreduce_fusion [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.636.887 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 41; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 32, 33, 34, 35, 36, 37, 38, 39, 40, 41; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.592.103 2025-07-15-11:45:30.594.622 -> 2025-07-15-11:45:30.595.423 2025-07-15-11:45:30.599.332 -> 2025-07-15-11:45:30.600.201 2025-07-15-11:45:30.603.083 -> 2025-07-15-11:45:30.603.966 2025-07-15-11:45:30.606.792 -> 2025-07-15-11:45:30.607.645 2025-07-15-11:45:30.608.299 -> 2025-07-15-11:45:30.609.044 2025-07-15-11:45:30.616.989 -> 2025-07-15-11:45:30.617.871 2025-07-15-11:45:30.622.023 -> 2025-07-15-11:45:30.622.962 2025-07-15-11:45:30.627.697 -> 2025-07-15-11:45:30.628.662 2025-07-15-11:45:30.632.275 -> 2025-07-15-11:45:30.633.262 2025-07-15-11:45:30.636.625 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.637.115 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.allreduce_fusion.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.637.204 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.matmul_add_comm_reduction [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.637.497 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 42 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.637.757 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.matmul_add_comm_reduction.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.637.884 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.allreduce_slice_to_reducescatter [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.638.033 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.allreduce_slice_to_reducescatter.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.638.088 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.virtual_shard_identity [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.638.135 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_virtual_shard_identity [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.638.713 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.virtual_shard_identity.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.638.823 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.virtual_dataset [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.638.880 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_virtual_dataset [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.639.364 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.virtual_dataset.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.639.477 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.get_grad_eliminate_ [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.639.537 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_get_grad_eliminate_ [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.640.033 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.get_grad_eliminate_.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.640.154 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.virtual_output [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.640.214 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_virtual_output [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.640.701 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.virtual_output.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.640.840 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_forward [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.641.223 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_forward.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.641.317 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.offload_activation [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.641.866 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.offload_activation.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.641.983 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.cell_reuse_recompute_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.642.111 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.cell_reuse_recompute_pass.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.642.165 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.642.214 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r1_cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.642.262 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: remove_not_recompute_node [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.643.318 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: remove_not_recompute_node, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.643.456 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.cell_reuse_handle_not_recompute_node_pass.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.643.530 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_recompute_call_nodes [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.643.579 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_recompute_call_nodes.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.643.632 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.before_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.643.679 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_before_grad [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.644.580 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 42; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 33, 34, 35, 36, 37, 38, 39, 40, 41, 42; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.595.423 2025-07-15-11:45:30.599.332 -> 2025-07-15-11:45:30.600.201 2025-07-15-11:45:30.603.083 -> 2025-07-15-11:45:30.603.966 2025-07-15-11:45:30.606.792 -> 2025-07-15-11:45:30.607.645 2025-07-15-11:45:30.608.299 -> 2025-07-15-11:45:30.609.044 2025-07-15-11:45:30.616.989 -> 2025-07-15-11:45:30.617.871 2025-07-15-11:45:30.622.023 -> 2025-07-15-11:45:30.622.962 2025-07-15-11:45:30.627.697 -> 2025-07-15-11:45:30.628.662 2025-07-15-11:45:30.632.275 -> 2025-07-15-11:45:30.633.262 2025-07-15-11:45:30.636.625 -> 2025-07-15-11:45:30.637.548 2025-07-15-11:45:30.643.588 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.644.690 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.before_grad.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.644.842 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.set_forward_comm_id_for_comm_node_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.645.370 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.set_forward_comm_id_for_comm_node_pass.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.645.504 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.meta_fg_expand [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.645.386 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 43 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.645.995 [mindspore/ccsrc/frontend/optimizer/irpass/meta_fg_eliminate.cc:36] operator()] Start expanding meta: J [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.647.127 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 43; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 34, 35, 36, 37, 38, 39, 40, 41, 42, 43; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.600.201 2025-07-15-11:45:30.603.083 -> 2025-07-15-11:45:30.603.966 2025-07-15-11:45:30.606.792 -> 2025-07-15-11:45:30.607.645 2025-07-15-11:45:30.608.299 -> 2025-07-15-11:45:30.609.044 2025-07-15-11:45:30.616.989 -> 2025-07-15-11:45:30.617.871 2025-07-15-11:45:30.622.023 -> 2025-07-15-11:45:30.622.962 2025-07-15-11:45:30.627.697 -> 2025-07-15-11:45:30.628.662 2025-07-15-11:45:30.632.275 -> 2025-07-15-11:45:30.633.262 2025-07-15-11:45:30.636.625 -> 2025-07-15-11:45:30.637.548 2025-07-15-11:45:30.643.588 -> 2025-07-15-11:45:30.645.727 2025-07-15-11:45:30.646.910 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.647.725 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 44 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.652.548 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 44; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 35, 36, 37, 38, 39, 40, 41, 42, 43, 44; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.603.966 2025-07-15-11:45:30.606.792 -> 2025-07-15-11:45:30.607.645 2025-07-15-11:45:30.608.299 -> 2025-07-15-11:45:30.609.044 2025-07-15-11:45:30.616.989 -> 2025-07-15-11:45:30.617.871 2025-07-15-11:45:30.622.023 -> 2025-07-15-11:45:30.622.962 2025-07-15-11:45:30.627.697 -> 2025-07-15-11:45:30.628.662 2025-07-15-11:45:30.632.275 -> 2025-07-15-11:45:30.633.262 2025-07-15-11:45:30.636.625 -> 2025-07-15-11:45:30.637.548 2025-07-15-11:45:30.643.588 -> 2025-07-15-11:45:30.645.727 2025-07-15-11:45:30.646.910 -> 2025-07-15-11:45:30.647.788 2025-07-15-11:45:30.652.171 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.653.118 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 45 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.662.679 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 45; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 36, 37, 38, 39, 40, 41, 42, 43, 44, 45; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.607.645 2025-07-15-11:45:30.608.299 -> 2025-07-15-11:45:30.609.044 2025-07-15-11:45:30.616.989 -> 2025-07-15-11:45:30.617.871 2025-07-15-11:45:30.622.023 -> 2025-07-15-11:45:30.622.962 2025-07-15-11:45:30.627.697 -> 2025-07-15-11:45:30.628.662 2025-07-15-11:45:30.632.275 -> 2025-07-15-11:45:30.633.262 2025-07-15-11:45:30.636.625 -> 2025-07-15-11:45:30.637.548 2025-07-15-11:45:30.643.588 -> 2025-07-15-11:45:30.645.727 2025-07-15-11:45:30.646.910 -> 2025-07-15-11:45:30.647.788 2025-07-15-11:45:30.652.171 -> 2025-07-15-11:45:30.653.175 2025-07-15-11:45:30.662.413 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.663.304 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 46 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.667.390 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 46; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 37, 38, 39, 40, 41, 42, 43, 44, 45, 46; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.609.044 2025-07-15-11:45:30.616.989 -> 2025-07-15-11:45:30.617.871 2025-07-15-11:45:30.622.023 -> 2025-07-15-11:45:30.622.962 2025-07-15-11:45:30.627.697 -> 2025-07-15-11:45:30.628.662 2025-07-15-11:45:30.632.275 -> 2025-07-15-11:45:30.633.262 2025-07-15-11:45:30.636.625 -> 2025-07-15-11:45:30.637.548 2025-07-15-11:45:30.643.588 -> 2025-07-15-11:45:30.645.727 2025-07-15-11:45:30.646.910 -> 2025-07-15-11:45:30.647.788 2025-07-15-11:45:30.652.171 -> 2025-07-15-11:45:30.653.175 2025-07-15-11:45:30.662.413 -> 2025-07-15-11:45:30.663.354 2025-07-15-11:45:30.667.025 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.669.077 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 47 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.672.380 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 47; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 38, 39, 40, 41, 42, 43, 44, 45, 46, 47; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.617.871 2025-07-15-11:45:30.622.023 -> 2025-07-15-11:45:30.622.962 2025-07-15-11:45:30.627.697 -> 2025-07-15-11:45:30.628.662 2025-07-15-11:45:30.632.275 -> 2025-07-15-11:45:30.633.262 2025-07-15-11:45:30.636.625 -> 2025-07-15-11:45:30.637.548 2025-07-15-11:45:30.643.588 -> 2025-07-15-11:45:30.645.727 2025-07-15-11:45:30.646.910 -> 2025-07-15-11:45:30.647.788 2025-07-15-11:45:30.652.171 -> 2025-07-15-11:45:30.653.175 2025-07-15-11:45:30.662.413 -> 2025-07-15-11:45:30.663.354 2025-07-15-11:45:30.667.025 -> 2025-07-15-11:45:30.669.177 2025-07-15-11:45:30.672.111 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.673.713 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 48 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.681.631 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 48; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 39, 40, 41, 42, 43, 44, 45, 46, 47, 48; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.622.962 2025-07-15-11:45:30.627.697 -> 2025-07-15-11:45:30.628.662 2025-07-15-11:45:30.632.275 -> 2025-07-15-11:45:30.633.262 2025-07-15-11:45:30.636.625 -> 2025-07-15-11:45:30.637.548 2025-07-15-11:45:30.643.588 -> 2025-07-15-11:45:30.645.727 2025-07-15-11:45:30.646.910 -> 2025-07-15-11:45:30.647.788 2025-07-15-11:45:30.652.171 -> 2025-07-15-11:45:30.653.175 2025-07-15-11:45:30.662.413 -> 2025-07-15-11:45:30.663.354 2025-07-15-11:45:30.667.025 -> 2025-07-15-11:45:30.669.177 2025-07-15-11:45:30.672.111 -> 2025-07-15-11:45:30.673.816 2025-07-15-11:45:30.681.374 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.682.224 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 49 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.682.891 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 49; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 1, 0; device_queue: 40, 41, 42, 43, 44, 45, 46, 47, 48, 49; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.628.662 2025-07-15-11:45:30.632.275 -> 2025-07-15-11:45:30.633.262 2025-07-15-11:45:30.636.625 -> 2025-07-15-11:45:30.637.548 2025-07-15-11:45:30.643.588 -> 2025-07-15-11:45:30.645.727 2025-07-15-11:45:30.646.910 -> 2025-07-15-11:45:30.647.788 2025-07-15-11:45:30.652.171 -> 2025-07-15-11:45:30.653.175 2025-07-15-11:45:30.662.413 -> 2025-07-15-11:45:30.663.354 2025-07-15-11:45:30.667.025 -> 2025-07-15-11:45:30.669.177 2025-07-15-11:45:30.672.111 -> 2025-07-15-11:45:30.673.816 2025-07-15-11:45:30.681.374 -> 2025-07-15-11:45:30.682.271 2025-07-15-11:45:30.682.548 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.683.436 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 50 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.685.643 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 50; host_queue: 0, 0, 0, 0, 0, 0, 1, 0, 0, 0; device_queue: 41, 42, 43, 44, 45, 46, 47, 48, 49, 50; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.633.262 2025-07-15-11:45:30.636.625 -> 2025-07-15-11:45:30.637.548 2025-07-15-11:45:30.643.588 -> 2025-07-15-11:45:30.645.727 2025-07-15-11:45:30.646.910 -> 2025-07-15-11:45:30.647.788 2025-07-15-11:45:30.652.171 -> 2025-07-15-11:45:30.653.175 2025-07-15-11:45:30.662.413 -> 2025-07-15-11:45:30.663.354 2025-07-15-11:45:30.667.025 -> 2025-07-15-11:45:30.669.177 2025-07-15-11:45:30.672.111 -> 2025-07-15-11:45:30.673.816 2025-07-15-11:45:30.681.374 -> 2025-07-15-11:45:30.682.271 2025-07-15-11:45:30.682.548 -> 2025-07-15-11:45:30.683.499 2025-07-15-11:45:30.685.396 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.686.146 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 51 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.689.148 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 51; host_queue: 0, 0, 0, 0, 1, 0, 0, 0, 0, 0; device_queue: 42, 43, 44, 45, 46, 47, 48, 49, 50, 51; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.637.548 2025-07-15-11:45:30.643.588 -> 2025-07-15-11:45:30.645.727 2025-07-15-11:45:30.646.910 -> 2025-07-15-11:45:30.647.788 2025-07-15-11:45:30.652.171 -> 2025-07-15-11:45:30.653.175 2025-07-15-11:45:30.662.413 -> 2025-07-15-11:45:30.663.354 2025-07-15-11:45:30.667.025 -> 2025-07-15-11:45:30.669.177 2025-07-15-11:45:30.672.111 -> 2025-07-15-11:45:30.673.816 2025-07-15-11:45:30.681.374 -> 2025-07-15-11:45:30.682.271 2025-07-15-11:45:30.682.548 -> 2025-07-15-11:45:30.683.499 2025-07-15-11:45:30.685.396 -> 2025-07-15-11:45:30.686.202 2025-07-15-11:45:30.688.915 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.689.691 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 52 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.691.742 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [bprop_depend_420] Added global python symbol: {C : } [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.692.719 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 52; host_queue: 0, 0, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 43, 44, 45, 46, 47, 48, 49, 50, 51, 52; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.645.727 2025-07-15-11:45:30.646.910 -> 2025-07-15-11:45:30.647.788 2025-07-15-11:45:30.652.171 -> 2025-07-15-11:45:30.653.175 2025-07-15-11:45:30.662.413 -> 2025-07-15-11:45:30.663.354 2025-07-15-11:45:30.667.025 -> 2025-07-15-11:45:30.669.177 2025-07-15-11:45:30.672.111 -> 2025-07-15-11:45:30.673.816 2025-07-15-11:45:30.681.374 -> 2025-07-15-11:45:30.682.271 2025-07-15-11:45:30.682.548 -> 2025-07-15-11:45:30.683.499 2025-07-15-11:45:30.685.396 -> 2025-07-15-11:45:30.686.202 2025-07-15-11:45:30.688.915 -> 2025-07-15-11:45:30.689.758 2025-07-15-11:45:30.692.532 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.692.790 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_resolve.r1.j0.resolve [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.692.947 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_resolve_r1_resolve [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.693.005 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.693.180 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 53 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.694.822 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.694.943 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.695.007 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.695.069 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_resolve.r1.j0.resolve.changed [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.697.244 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 53; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 44, 45, 46, 47, 48, 49, 50, 51, 52, 53; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.647.788 2025-07-15-11:45:30.652.171 -> 2025-07-15-11:45:30.653.175 2025-07-15-11:45:30.662.413 -> 2025-07-15-11:45:30.663.354 2025-07-15-11:45:30.667.025 -> 2025-07-15-11:45:30.669.177 2025-07-15-11:45:30.672.111 -> 2025-07-15-11:45:30.673.816 2025-07-15-11:45:30.681.374 -> 2025-07-15-11:45:30.682.271 2025-07-15-11:45:30.682.548 -> 2025-07-15-11:45:30.683.499 2025-07-15-11:45:30.685.396 -> 2025-07-15-11:45:30.686.202 2025-07-15-11:45:30.688.915 -> 2025-07-15-11:45:30.689.758 2025-07-15-11:45:30.692.532 -> 2025-07-15-11:45:30.693.226 2025-07-15-11:45:30.696.940 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.697.765 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 54 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.700.957 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 54; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 45, 46, 47, 48, 49, 50, 51, 52, 53, 54; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.653.175 2025-07-15-11:45:30.662.413 -> 2025-07-15-11:45:30.663.354 2025-07-15-11:45:30.667.025 -> 2025-07-15-11:45:30.669.177 2025-07-15-11:45:30.672.111 -> 2025-07-15-11:45:30.673.816 2025-07-15-11:45:30.681.374 -> 2025-07-15-11:45:30.682.271 2025-07-15-11:45:30.682.548 -> 2025-07-15-11:45:30.683.499 2025-07-15-11:45:30.685.396 -> 2025-07-15-11:45:30.686.202 2025-07-15-11:45:30.688.915 -> 2025-07-15-11:45:30.689.758 2025-07-15-11:45:30.692.532 -> 2025-07-15-11:45:30.693.226 2025-07-15-11:45:30.696.940 -> 2025-07-15-11:45:30.697.816 2025-07-15-11:45:30.700.747 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PARSER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.701.588 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [bprop_load_421] Added global python symbol: {C : } [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.702.446 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_resolve.r1.j0.resolve [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.702.603 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_resolve_r1_resolve [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.702.689 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 55 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.702.814 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.704.075 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.704.181 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.704.239 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.704.280 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_resolve.r1.j0.resolve.changed [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.726.918 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 55; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 4; device_queue: 46, 47, 48, 49, 50, 51, 52, 53, 54, 55; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.663.354 2025-07-15-11:45:30.667.025 -> 2025-07-15-11:45:30.669.177 2025-07-15-11:45:30.672.111 -> 2025-07-15-11:45:30.673.816 2025-07-15-11:45:30.681.374 -> 2025-07-15-11:45:30.682.271 2025-07-15-11:45:30.682.548 -> 2025-07-15-11:45:30.683.499 2025-07-15-11:45:30.685.396 -> 2025-07-15-11:45:30.686.202 2025-07-15-11:45:30.688.915 -> 2025-07-15-11:45:30.689.758 2025-07-15-11:45:30.692.532 -> 2025-07-15-11:45:30.693.226 2025-07-15-11:45:30.696.940 -> 2025-07-15-11:45:30.697.816 2025-07-15-11:45:30.700.747 -> 2025-07-15-11:45:30.702.780 2025-07-15-11:45:30.726.590 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.730.825 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 56 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.731.434 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 56; host_queue: 0, 0, 0, 0, 0, 0, 0, 4, 5, 4; device_queue: 47, 48, 49, 50, 51, 52, 53, 54, 55, 56; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.669.177 2025-07-15-11:45:30.672.111 -> 2025-07-15-11:45:30.673.816 2025-07-15-11:45:30.681.374 -> 2025-07-15-11:45:30.682.271 2025-07-15-11:45:30.682.548 -> 2025-07-15-11:45:30.683.499 2025-07-15-11:45:30.685.396 -> 2025-07-15-11:45:30.686.202 2025-07-15-11:45:30.688.915 -> 2025-07-15-11:45:30.689.758 2025-07-15-11:45:30.692.532 -> 2025-07-15-11:45:30.693.226 2025-07-15-11:45:30.696.940 -> 2025-07-15-11:45:30.697.816 2025-07-15-11:45:30.700.747 -> 2025-07-15-11:45:30.702.780 2025-07-15-11:45:30.726.590 -> 2025-07-15-11:45:30.730.952 2025-07-15-11:45:30.731.190 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.731.879 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 57 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.732.215 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 57; host_queue: 0, 0, 0, 0, 0, 4, 5, 4, 4, 3; device_queue: 48, 49, 50, 51, 52, 53, 54, 55, 56, 57; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.673.816 2025-07-15-11:45:30.681.374 -> 2025-07-15-11:45:30.682.271 2025-07-15-11:45:30.682.548 -> 2025-07-15-11:45:30.683.499 2025-07-15-11:45:30.685.396 -> 2025-07-15-11:45:30.686.202 2025-07-15-11:45:30.688.915 -> 2025-07-15-11:45:30.689.758 2025-07-15-11:45:30.692.532 -> 2025-07-15-11:45:30.693.226 2025-07-15-11:45:30.696.940 -> 2025-07-15-11:45:30.697.816 2025-07-15-11:45:30.700.747 -> 2025-07-15-11:45:30.702.780 2025-07-15-11:45:30.726.590 -> 2025-07-15-11:45:30.730.952 2025-07-15-11:45:30.731.190 -> 2025-07-15-11:45:30.731.931 2025-07-15-11:45:30.732.100 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.732.356 [mindspore/ccsrc/frontend/optimizer/irpass/meta_fg_eliminate.cc:39] operator()] End expanding meta: J, change: 1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.732.499 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.meta_fg_expand.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.732.569 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.flash_sp_send_recv_attached [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.732.625 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.flash_sp_send_recv_attached.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.732.671 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.receive_attached [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.732.719 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 58 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.732.845 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.receive_attached.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.732.900 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.after_resolve [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.732.946 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_after_resolve [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.733.178 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 58; host_queue: 0, 0, 0, 4, 5, 4, 4, 3, 3, 2; device_queue: 49, 50, 51, 52, 53, 54, 55, 56, 57, 58; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.682.271 2025-07-15-11:45:30.682.548 -> 2025-07-15-11:45:30.683.499 2025-07-15-11:45:30.685.396 -> 2025-07-15-11:45:30.686.202 2025-07-15-11:45:30.688.915 -> 2025-07-15-11:45:30.689.758 2025-07-15-11:45:30.692.532 -> 2025-07-15-11:45:30.693.226 2025-07-15-11:45:30.696.940 -> 2025-07-15-11:45:30.697.816 2025-07-15-11:45:30.700.747 -> 2025-07-15-11:45:30.702.780 2025-07-15-11:45:30.726.590 -> 2025-07-15-11:45:30.730.952 2025-07-15-11:45:30.731.190 -> 2025-07-15-11:45:30.731.931 2025-07-15-11:45:30.732.100 -> 2025-07-15-11:45:30.732.768 2025-07-15-11:45:30.733.043 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.733.521 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 59 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.733.900 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 59; host_queue: 0, 4, 5, 4, 4, 3, 3, 2, 2, 1; device_queue: 50, 51, 52, 53, 54, 55, 56, 57, 58, 59; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.683.499 2025-07-15-11:45:30.685.396 -> 2025-07-15-11:45:30.686.202 2025-07-15-11:45:30.688.915 -> 2025-07-15-11:45:30.689.758 2025-07-15-11:45:30.692.532 -> 2025-07-15-11:45:30.693.226 2025-07-15-11:45:30.696.940 -> 2025-07-15-11:45:30.697.816 2025-07-15-11:45:30.700.747 -> 2025-07-15-11:45:30.702.780 2025-07-15-11:45:30.726.590 -> 2025-07-15-11:45:30.730.952 2025-07-15-11:45:30.731.190 -> 2025-07-15-11:45:30.731.931 2025-07-15-11:45:30.732.100 -> 2025-07-15-11:45:30.732.768 2025-07-15-11:45:30.733.043 -> 2025-07-15-11:45:30.733.567 2025-07-15-11:45:30.733.779 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.734.399 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 60 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.734.853 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 60; host_queue: 5, 4, 4, 3, 3, 2, 2, 1, 2, 1; device_queue: 51, 52, 53, 54, 55, 56, 57, 58, 59, 60; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.686.202 2025-07-15-11:45:30.688.915 -> 2025-07-15-11:45:30.689.758 2025-07-15-11:45:30.692.532 -> 2025-07-15-11:45:30.693.226 2025-07-15-11:45:30.696.940 -> 2025-07-15-11:45:30.697.816 2025-07-15-11:45:30.700.747 -> 2025-07-15-11:45:30.702.780 2025-07-15-11:45:30.726.590 -> 2025-07-15-11:45:30.730.952 2025-07-15-11:45:30.731.190 -> 2025-07-15-11:45:30.731.931 2025-07-15-11:45:30.732.100 -> 2025-07-15-11:45:30.732.768 2025-07-15-11:45:30.733.043 -> 2025-07-15-11:45:30.733.567 2025-07-15-11:45:30.733.779 -> 2025-07-15-11:45:30.734.472 2025-07-15-11:45:30.734.698 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.735.214 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 61 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.735.224 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.after_resolve.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.735.341 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_after_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.735.394 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_a_after_grad [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.735.553 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 61; host_queue: 4, 3, 3, 2, 2, 1, 2, 1, 1, 0; device_queue: 52, 53, 54, 55, 56, 57, 58, 59, 60, 61; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.689.758 2025-07-15-11:45:30.692.532 -> 2025-07-15-11:45:30.693.226 2025-07-15-11:45:30.696.940 -> 2025-07-15-11:45:30.697.816 2025-07-15-11:45:30.700.747 -> 2025-07-15-11:45:30.702.780 2025-07-15-11:45:30.726.590 -> 2025-07-15-11:45:30.730.952 2025-07-15-11:45:30.731.190 -> 2025-07-15-11:45:30.731.931 2025-07-15-11:45:30.732.100 -> 2025-07-15-11:45:30.732.768 2025-07-15-11:45:30.733.043 -> 2025-07-15-11:45:30.733.567 2025-07-15-11:45:30.733.779 -> 2025-07-15-11:45:30.734.472 2025-07-15-11:45:30.734.698 -> 2025-07-15-11:45:30.735.260 2025-07-15-11:45:30.735.434 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.736.006 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 62 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.738.879 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_after_grad.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.739.016 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.renormalize [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.739.323 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 62; host_queue: 3, 2, 2, 1, 2, 1, 1, 0, 0, 0; device_queue: 53, 54, 55, 56, 57, 58, 59, 60, 61, 62; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.693.226 2025-07-15-11:45:30.696.940 -> 2025-07-15-11:45:30.697.816 2025-07-15-11:45:30.700.747 -> 2025-07-15-11:45:30.702.780 2025-07-15-11:45:30.726.590 -> 2025-07-15-11:45:30.730.952 2025-07-15-11:45:30.731.190 -> 2025-07-15-11:45:30.731.931 2025-07-15-11:45:30.732.100 -> 2025-07-15-11:45:30.732.768 2025-07-15-11:45:30.733.043 -> 2025-07-15-11:45:30.733.567 2025-07-15-11:45:30.733.779 -> 2025-07-15-11:45:30.734.472 2025-07-15-11:45:30.734.698 -> 2025-07-15-11:45:30.735.260 2025-07-15-11:45:30.735.434 -> 2025-07-15-11:45:30.736.060 2025-07-15-11:45:30.739.047 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.739.857 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 63 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.743.251 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 63; host_queue: 2, 1, 2, 1, 1, 0, 0, 0, 0, 0; device_queue: 54, 55, 56, 57, 58, 59, 60, 61, 62, 63; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.697.816 2025-07-15-11:45:30.700.747 -> 2025-07-15-11:45:30.702.780 2025-07-15-11:45:30.726.590 -> 2025-07-15-11:45:30.730.952 2025-07-15-11:45:30.731.190 -> 2025-07-15-11:45:30.731.931 2025-07-15-11:45:30.732.100 -> 2025-07-15-11:45:30.732.768 2025-07-15-11:45:30.733.043 -> 2025-07-15-11:45:30.733.567 2025-07-15-11:45:30.733.779 -> 2025-07-15-11:45:30.734.472 2025-07-15-11:45:30.734.698 -> 2025-07-15-11:45:30.735.260 2025-07-15-11:45:30.735.434 -> 2025-07-15-11:45:30.736.060 2025-07-15-11:45:30.739.047 -> 2025-07-15-11:45:30.739.908 2025-07-15-11:45:30.743.029 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.743.781 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 64 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.747.653 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 64; host_queue: 2, 1, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 55, 56, 57, 58, 59, 60, 61, 62, 63, 64; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.702.780 2025-07-15-11:45:30.726.590 -> 2025-07-15-11:45:30.730.952 2025-07-15-11:45:30.731.190 -> 2025-07-15-11:45:30.731.931 2025-07-15-11:45:30.732.100 -> 2025-07-15-11:45:30.732.768 2025-07-15-11:45:30.733.043 -> 2025-07-15-11:45:30.733.567 2025-07-15-11:45:30.733.779 -> 2025-07-15-11:45:30.734.472 2025-07-15-11:45:30.734.698 -> 2025-07-15-11:45:30.735.260 2025-07-15-11:45:30.735.434 -> 2025-07-15-11:45:30.736.060 2025-07-15-11:45:30.739.047 -> 2025-07-15-11:45:30.739.908 2025-07-15-11:45:30.743.029 -> 2025-07-15-11:45:30.743.843 2025-07-15-11:45:30.747.424 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.748.262 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 65 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.753.086 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 65; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 56, 57, 58, 59, 60, 61, 62, 63, 64, 65; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.730.952 2025-07-15-11:45:30.731.190 -> 2025-07-15-11:45:30.731.931 2025-07-15-11:45:30.732.100 -> 2025-07-15-11:45:30.732.768 2025-07-15-11:45:30.733.043 -> 2025-07-15-11:45:30.733.567 2025-07-15-11:45:30.733.779 -> 2025-07-15-11:45:30.734.472 2025-07-15-11:45:30.734.698 -> 2025-07-15-11:45:30.735.260 2025-07-15-11:45:30.735.434 -> 2025-07-15-11:45:30.736.060 2025-07-15-11:45:30.739.047 -> 2025-07-15-11:45:30.739.908 2025-07-15-11:45:30.743.029 -> 2025-07-15-11:45:30.743.843 2025-07-15-11:45:30.747.424 -> 2025-07-15-11:45:30.748.317 2025-07-15-11:45:30.752.868 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.754.678 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 66 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.755.420 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:433] Eval] Add root_func_graph_backup [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.762.331 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 66; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 1; device_queue: 57, 58, 59, 60, 61, 62, 63, 64, 65, 66; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.731.931 2025-07-15-11:45:30.732.100 -> 2025-07-15-11:45:30.732.768 2025-07-15-11:45:30.733.043 -> 2025-07-15-11:45:30.733.567 2025-07-15-11:45:30.733.779 -> 2025-07-15-11:45:30.734.472 2025-07-15-11:45:30.734.698 -> 2025-07-15-11:45:30.735.260 2025-07-15-11:45:30.735.434 -> 2025-07-15-11:45:30.736.060 2025-07-15-11:45:30.739.047 -> 2025-07-15-11:45:30.739.908 2025-07-15-11:45:30.743.029 -> 2025-07-15-11:45:30.743.843 2025-07-15-11:45:30.747.424 -> 2025-07-15-11:45:30.748.317 2025-07-15-11:45:30.752.868 -> 2025-07-15-11:45:30.754.776 2025-07-15-11:45:30.761.173 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.763.040 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 67 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.763.728 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 67; host_queue: 0, 0, 0, 0, 0, 0, 0, 1, 1, 0; device_queue: 58, 59, 60, 61, 62, 63, 64, 65, 66, 67; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.732.768 2025-07-15-11:45:30.733.043 -> 2025-07-15-11:45:30.733.567 2025-07-15-11:45:30.733.779 -> 2025-07-15-11:45:30.734.472 2025-07-15-11:45:30.734.698 -> 2025-07-15-11:45:30.735.260 2025-07-15-11:45:30.735.434 -> 2025-07-15-11:45:30.736.060 2025-07-15-11:45:30.739.047 -> 2025-07-15-11:45:30.739.908 2025-07-15-11:45:30.743.029 -> 2025-07-15-11:45:30.743.843 2025-07-15-11:45:30.747.424 -> 2025-07-15-11:45:30.748.317 2025-07-15-11:45:30.752.868 -> 2025-07-15-11:45:30.754.776 2025-07-15-11:45:30.761.173 -> 2025-07-15-11:45:30.763.109 2025-07-15-11:45:30.763.478 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.764.190 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 68 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.765.854 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 68; host_queue: 0, 0, 0, 0, 0, 1, 1, 0, 0, 0; device_queue: 59, 60, 61, 62, 63, 64, 65, 66, 67, 68; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.733.567 2025-07-15-11:45:30.733.779 -> 2025-07-15-11:45:30.734.472 2025-07-15-11:45:30.734.698 -> 2025-07-15-11:45:30.735.260 2025-07-15-11:45:30.735.434 -> 2025-07-15-11:45:30.736.060 2025-07-15-11:45:30.739.047 -> 2025-07-15-11:45:30.739.908 2025-07-15-11:45:30.743.029 -> 2025-07-15-11:45:30.743.843 2025-07-15-11:45:30.747.424 -> 2025-07-15-11:45:30.748.317 2025-07-15-11:45:30.752.868 -> 2025-07-15-11:45:30.754.776 2025-07-15-11:45:30.761.173 -> 2025-07-15-11:45:30.763.109 2025-07-15-11:45:30.763.478 -> 2025-07-15-11:45:30.764.249 2025-07-15-11:45:30.765.575 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.766.348 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 69 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.768.840 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 69; host_queue: 0, 0, 0, 1, 1, 0, 0, 0, 0, 0; device_queue: 60, 61, 62, 63, 64, 65, 66, 67, 68, 69; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.734.472 2025-07-15-11:45:30.734.698 -> 2025-07-15-11:45:30.735.260 2025-07-15-11:45:30.735.434 -> 2025-07-15-11:45:30.736.060 2025-07-15-11:45:30.739.047 -> 2025-07-15-11:45:30.739.908 2025-07-15-11:45:30.743.029 -> 2025-07-15-11:45:30.743.843 2025-07-15-11:45:30.747.424 -> 2025-07-15-11:45:30.748.317 2025-07-15-11:45:30.752.868 -> 2025-07-15-11:45:30.754.776 2025-07-15-11:45:30.761.173 -> 2025-07-15-11:45:30.763.109 2025-07-15-11:45:30.763.478 -> 2025-07-15-11:45:30.764.249 2025-07-15-11:45:30.765.575 -> 2025-07-15-11:45:30.766.404 2025-07-15-11:45:30.768.572 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.769.414 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 70 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.778.302 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 70; host_queue: 0, 1, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 61, 62, 63, 64, 65, 66, 67, 68, 69, 70; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.735.260 2025-07-15-11:45:30.735.434 -> 2025-07-15-11:45:30.736.060 2025-07-15-11:45:30.739.047 -> 2025-07-15-11:45:30.739.908 2025-07-15-11:45:30.743.029 -> 2025-07-15-11:45:30.743.843 2025-07-15-11:45:30.747.424 -> 2025-07-15-11:45:30.748.317 2025-07-15-11:45:30.752.868 -> 2025-07-15-11:45:30.754.776 2025-07-15-11:45:30.761.173 -> 2025-07-15-11:45:30.763.109 2025-07-15-11:45:30.763.478 -> 2025-07-15-11:45:30.764.249 2025-07-15-11:45:30.765.575 -> 2025-07-15-11:45:30.766.404 2025-07-15-11:45:30.768.572 -> 2025-07-15-11:45:30.769.471 2025-07-15-11:45:30.778.011 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.778.900 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 71 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.785.316 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 71; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 62, 63, 64, 65, 66, 67, 68, 69, 70, 71; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.736.060 2025-07-15-11:45:30.739.047 -> 2025-07-15-11:45:30.739.908 2025-07-15-11:45:30.743.029 -> 2025-07-15-11:45:30.743.843 2025-07-15-11:45:30.747.424 -> 2025-07-15-11:45:30.748.317 2025-07-15-11:45:30.752.868 -> 2025-07-15-11:45:30.754.776 2025-07-15-11:45:30.761.173 -> 2025-07-15-11:45:30.763.109 2025-07-15-11:45:30.763.478 -> 2025-07-15-11:45:30.764.249 2025-07-15-11:45:30.765.575 -> 2025-07-15-11:45:30.766.404 2025-07-15-11:45:30.768.572 -> 2025-07-15-11:45:30.769.471 2025-07-15-11:45:30.778.011 -> 2025-07-15-11:45:30.778.963 2025-07-15-11:45:30.783.751 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.786.665 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 72 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.788.582 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 72; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 63, 64, 65, 66, 67, 68, 69, 70, 71, 72; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.739.908 2025-07-15-11:45:30.743.029 -> 2025-07-15-11:45:30.743.843 2025-07-15-11:45:30.747.424 -> 2025-07-15-11:45:30.748.317 2025-07-15-11:45:30.752.868 -> 2025-07-15-11:45:30.754.776 2025-07-15-11:45:30.761.173 -> 2025-07-15-11:45:30.763.109 2025-07-15-11:45:30.763.478 -> 2025-07-15-11:45:30.764.249 2025-07-15-11:45:30.765.575 -> 2025-07-15-11:45:30.766.404 2025-07-15-11:45:30.768.572 -> 2025-07-15-11:45:30.769.471 2025-07-15-11:45:30.778.011 -> 2025-07-15-11:45:30.778.963 2025-07-15-11:45:30.783.751 -> 2025-07-15-11:45:30.786.767 2025-07-15-11:45:30.788.318 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.789.119 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 73 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.792.399 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 73; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 64, 65, 66, 67, 68, 69, 70, 71, 72, 73; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.743.843 2025-07-15-11:45:30.747.424 -> 2025-07-15-11:45:30.748.317 2025-07-15-11:45:30.752.868 -> 2025-07-15-11:45:30.754.776 2025-07-15-11:45:30.761.173 -> 2025-07-15-11:45:30.763.109 2025-07-15-11:45:30.763.478 -> 2025-07-15-11:45:30.764.249 2025-07-15-11:45:30.765.575 -> 2025-07-15-11:45:30.766.404 2025-07-15-11:45:30.768.572 -> 2025-07-15-11:45:30.769.471 2025-07-15-11:45:30.778.011 -> 2025-07-15-11:45:30.778.963 2025-07-15-11:45:30.783.751 -> 2025-07-15-11:45:30.786.767 2025-07-15-11:45:30.788.318 -> 2025-07-15-11:45:30.789.170 2025-07-15-11:45:30.792.148 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.793.045 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 74 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.795.779 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 74; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 65, 66, 67, 68, 69, 70, 71, 72, 73, 74; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.748.317 2025-07-15-11:45:30.752.868 -> 2025-07-15-11:45:30.754.776 2025-07-15-11:45:30.761.173 -> 2025-07-15-11:45:30.763.109 2025-07-15-11:45:30.763.478 -> 2025-07-15-11:45:30.764.249 2025-07-15-11:45:30.765.575 -> 2025-07-15-11:45:30.766.404 2025-07-15-11:45:30.768.572 -> 2025-07-15-11:45:30.769.471 2025-07-15-11:45:30.778.011 -> 2025-07-15-11:45:30.778.963 2025-07-15-11:45:30.783.751 -> 2025-07-15-11:45:30.786.767 2025-07-15-11:45:30.788.318 -> 2025-07-15-11:45:30.789.170 2025-07-15-11:45:30.792.148 -> 2025-07-15-11:45:30.793.102 2025-07-15-11:45:30.795.520 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.798.704 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 75 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.802.992 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 75; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 1, 1; device_queue: 66, 67, 68, 69, 70, 71, 72, 73, 74, 75; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.754.776 2025-07-15-11:45:30.761.173 -> 2025-07-15-11:45:30.763.109 2025-07-15-11:45:30.763.478 -> 2025-07-15-11:45:30.764.249 2025-07-15-11:45:30.765.575 -> 2025-07-15-11:45:30.766.404 2025-07-15-11:45:30.768.572 -> 2025-07-15-11:45:30.769.471 2025-07-15-11:45:30.778.011 -> 2025-07-15-11:45:30.778.963 2025-07-15-11:45:30.783.751 -> 2025-07-15-11:45:30.786.767 2025-07-15-11:45:30.788.318 -> 2025-07-15-11:45:30.789.170 2025-07-15-11:45:30.792.148 -> 2025-07-15-11:45:30.793.102 2025-07-15-11:45:30.795.520 -> 2025-07-15-11:45:30.798.823 2025-07-15-11:45:30.802.644 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.803.528 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 76 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.803.874 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 76; host_queue: 0, 0, 0, 0, 0, 0, 1, 1, 1, 0; device_queue: 67, 68, 69, 70, 71, 72, 73, 74, 75, 76; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.763.109 2025-07-15-11:45:30.763.478 -> 2025-07-15-11:45:30.764.249 2025-07-15-11:45:30.765.575 -> 2025-07-15-11:45:30.766.404 2025-07-15-11:45:30.768.572 -> 2025-07-15-11:45:30.769.471 2025-07-15-11:45:30.778.011 -> 2025-07-15-11:45:30.778.963 2025-07-15-11:45:30.783.751 -> 2025-07-15-11:45:30.786.767 2025-07-15-11:45:30.788.318 -> 2025-07-15-11:45:30.789.170 2025-07-15-11:45:30.792.148 -> 2025-07-15-11:45:30.793.102 2025-07-15-11:45:30.795.520 -> 2025-07-15-11:45:30.798.823 2025-07-15-11:45:30.802.644 -> 2025-07-15-11:45:30.803.577 2025-07-15-11:45:30.803.736 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.804.251 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 77 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.806.006 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 77; host_queue: 0, 0, 0, 0, 1, 1, 1, 0, 0, 0; device_queue: 68, 69, 70, 71, 72, 73, 74, 75, 76, 77; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.764.249 2025-07-15-11:45:30.765.575 -> 2025-07-15-11:45:30.766.404 2025-07-15-11:45:30.768.572 -> 2025-07-15-11:45:30.769.471 2025-07-15-11:45:30.778.011 -> 2025-07-15-11:45:30.778.963 2025-07-15-11:45:30.783.751 -> 2025-07-15-11:45:30.786.767 2025-07-15-11:45:30.788.318 -> 2025-07-15-11:45:30.789.170 2025-07-15-11:45:30.792.148 -> 2025-07-15-11:45:30.793.102 2025-07-15-11:45:30.795.520 -> 2025-07-15-11:45:30.798.823 2025-07-15-11:45:30.802.644 -> 2025-07-15-11:45:30.803.577 2025-07-15-11:45:30.803.736 -> 2025-07-15-11:45:30.804.303 2025-07-15-11:45:30.805.769 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.806.564 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 78 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.811.226 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 78; host_queue: 0, 0, 1, 1, 1, 0, 0, 0, 0, 0; device_queue: 69, 70, 71, 72, 73, 74, 75, 76, 77, 78; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.766.404 2025-07-15-11:45:30.768.572 -> 2025-07-15-11:45:30.769.471 2025-07-15-11:45:30.778.011 -> 2025-07-15-11:45:30.778.963 2025-07-15-11:45:30.783.751 -> 2025-07-15-11:45:30.786.767 2025-07-15-11:45:30.788.318 -> 2025-07-15-11:45:30.789.170 2025-07-15-11:45:30.792.148 -> 2025-07-15-11:45:30.793.102 2025-07-15-11:45:30.795.520 -> 2025-07-15-11:45:30.798.823 2025-07-15-11:45:30.802.644 -> 2025-07-15-11:45:30.803.577 2025-07-15-11:45:30.803.736 -> 2025-07-15-11:45:30.804.303 2025-07-15-11:45:30.805.769 -> 2025-07-15-11:45:30.806.629 2025-07-15-11:45:30.811.003 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.811.804 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 79 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.817.359 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 79; host_queue: 1, 1, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 70, 71, 72, 73, 74, 75, 76, 77, 78, 79; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.769.471 2025-07-15-11:45:30.778.011 -> 2025-07-15-11:45:30.778.963 2025-07-15-11:45:30.783.751 -> 2025-07-15-11:45:30.786.767 2025-07-15-11:45:30.788.318 -> 2025-07-15-11:45:30.789.170 2025-07-15-11:45:30.792.148 -> 2025-07-15-11:45:30.793.102 2025-07-15-11:45:30.795.520 -> 2025-07-15-11:45:30.798.823 2025-07-15-11:45:30.802.644 -> 2025-07-15-11:45:30.803.577 2025-07-15-11:45:30.803.736 -> 2025-07-15-11:45:30.804.303 2025-07-15-11:45:30.805.769 -> 2025-07-15-11:45:30.806.629 2025-07-15-11:45:30.811.003 -> 2025-07-15-11:45:30.811.853 2025-07-15-11:45:30.817.149 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.817.876 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 80 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.821.916 [mindspore/ccsrc/pipeline/jit/ps/action.cc:316] AbstractAnalyze] function call depth: 0, simulate call depth: 0 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.822.700 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:313] Run] Specialize set top func graph context: {FuncGraph: 1_mindspore_train_dataset_helper__DataWrapper_construct_355 Args: [0]: AbstractRefTensor(key: conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [1]: AbstractRefTensor(key: conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [2]: AbstractRefTensor(key: fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [3]: AbstractRefTensor(key: fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [4]: AbstractRefTensor(key: fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [5]: AbstractRefTensor(key: fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [6]: AbstractRefTensor(key: fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [7]: AbstractRefTensor(key: fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [8]: AbstractRefTensor(key: global_step, ref_value: AbstractRefTensor(shape: (1), element: AbstractScalar(Type: Int32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [9]: AbstractRefTensor(key: momentum, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [10]: AbstractRefTensor(key: learning_rate, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [11]: AbstractRefTensor(key: moments.conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [12]: AbstractRefTensor(key: moments.conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [13]: AbstractRefTensor(key: moments.fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [14]: AbstractRefTensor(key: moments.fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [15]: AbstractRefTensor(key: moments.fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [16]: AbstractRefTensor(key: moments.fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [17]: AbstractRefTensor(key: moments.fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [18]: AbstractRefTensor(key: moments.fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), Parent: } [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.825.647 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 80; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 71, 72, 73, 74, 75, 76, 77, 78, 79, 80; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.778.963 2025-07-15-11:45:30.783.751 -> 2025-07-15-11:45:30.786.767 2025-07-15-11:45:30.788.318 -> 2025-07-15-11:45:30.789.170 2025-07-15-11:45:30.792.148 -> 2025-07-15-11:45:30.793.102 2025-07-15-11:45:30.795.520 -> 2025-07-15-11:45:30.798.823 2025-07-15-11:45:30.802.644 -> 2025-07-15-11:45:30.803.577 2025-07-15-11:45:30.803.736 -> 2025-07-15-11:45:30.804.303 2025-07-15-11:45:30.805.769 -> 2025-07-15-11:45:30.806.629 2025-07-15-11:45:30.811.003 -> 2025-07-15-11:45:30.811.853 2025-07-15-11:45:30.817.149 -> 2025-07-15-11:45:30.817.930 2025-07-15-11:45:30.825.428 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.826.207 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 81 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.829.241 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 81; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 72, 73, 74, 75, 76, 77, 78, 79, 80, 81; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.786.767 2025-07-15-11:45:30.788.318 -> 2025-07-15-11:45:30.789.170 2025-07-15-11:45:30.792.148 -> 2025-07-15-11:45:30.793.102 2025-07-15-11:45:30.795.520 -> 2025-07-15-11:45:30.798.823 2025-07-15-11:45:30.802.644 -> 2025-07-15-11:45:30.803.577 2025-07-15-11:45:30.803.736 -> 2025-07-15-11:45:30.804.303 2025-07-15-11:45:30.805.769 -> 2025-07-15-11:45:30.806.629 2025-07-15-11:45:30.811.003 -> 2025-07-15-11:45:30.811.853 2025-07-15-11:45:30.817.149 -> 2025-07-15-11:45:30.817.930 2025-07-15-11:45:30.825.428 -> 2025-07-15-11:45:30.826.257 2025-07-15-11:45:30.829.018 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.829.749 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 82 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.841.442 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 82; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 73, 74, 75, 76, 77, 78, 79, 80, 81, 82; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.789.170 2025-07-15-11:45:30.792.148 -> 2025-07-15-11:45:30.793.102 2025-07-15-11:45:30.795.520 -> 2025-07-15-11:45:30.798.823 2025-07-15-11:45:30.802.644 -> 2025-07-15-11:45:30.803.577 2025-07-15-11:45:30.803.736 -> 2025-07-15-11:45:30.804.303 2025-07-15-11:45:30.805.769 -> 2025-07-15-11:45:30.806.629 2025-07-15-11:45:30.811.003 -> 2025-07-15-11:45:30.811.853 2025-07-15-11:45:30.817.149 -> 2025-07-15-11:45:30.817.930 2025-07-15-11:45:30.825.428 -> 2025-07-15-11:45:30.826.257 2025-07-15-11:45:30.829.018 -> 2025-07-15-11:45:30.829.800 2025-07-15-11:45:30.839.473 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.843.960 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 83 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.844.987 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 83; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 74, 75, 76, 77, 78, 79, 80, 81, 82, 83; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.793.102 2025-07-15-11:45:30.795.520 -> 2025-07-15-11:45:30.798.823 2025-07-15-11:45:30.802.644 -> 2025-07-15-11:45:30.803.577 2025-07-15-11:45:30.803.736 -> 2025-07-15-11:45:30.804.303 2025-07-15-11:45:30.805.769 -> 2025-07-15-11:45:30.806.629 2025-07-15-11:45:30.811.003 -> 2025-07-15-11:45:30.811.853 2025-07-15-11:45:30.817.149 -> 2025-07-15-11:45:30.817.930 2025-07-15-11:45:30.825.428 -> 2025-07-15-11:45:30.826.257 2025-07-15-11:45:30.829.018 -> 2025-07-15-11:45:30.829.800 2025-07-15-11:45:30.839.473 -> 2025-07-15-11:45:30.844.077 2025-07-15-11:45:30.844.828 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.845.504 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 84 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.849.378 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 84; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 75, 76, 77, 78, 79, 80, 81, 82, 83, 84; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.798.823 2025-07-15-11:45:30.802.644 -> 2025-07-15-11:45:30.803.577 2025-07-15-11:45:30.803.736 -> 2025-07-15-11:45:30.804.303 2025-07-15-11:45:30.805.769 -> 2025-07-15-11:45:30.806.629 2025-07-15-11:45:30.811.003 -> 2025-07-15-11:45:30.811.853 2025-07-15-11:45:30.817.149 -> 2025-07-15-11:45:30.817.930 2025-07-15-11:45:30.825.428 -> 2025-07-15-11:45:30.826.257 2025-07-15-11:45:30.829.018 -> 2025-07-15-11:45:30.829.800 2025-07-15-11:45:30.839.473 -> 2025-07-15-11:45:30.844.077 2025-07-15-11:45:30.844.828 -> 2025-07-15-11:45:30.845.563 2025-07-15-11:45:30.849.176 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.849.860 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 85 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.854.886 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 85; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 76, 77, 78, 79, 80, 81, 82, 83, 84, 85; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.803.577 2025-07-15-11:45:30.803.736 -> 2025-07-15-11:45:30.804.303 2025-07-15-11:45:30.805.769 -> 2025-07-15-11:45:30.806.629 2025-07-15-11:45:30.811.003 -> 2025-07-15-11:45:30.811.853 2025-07-15-11:45:30.817.149 -> 2025-07-15-11:45:30.817.930 2025-07-15-11:45:30.825.428 -> 2025-07-15-11:45:30.826.257 2025-07-15-11:45:30.829.018 -> 2025-07-15-11:45:30.829.800 2025-07-15-11:45:30.839.473 -> 2025-07-15-11:45:30.844.077 2025-07-15-11:45:30.844.828 -> 2025-07-15-11:45:30.845.563 2025-07-15-11:45:30.849.176 -> 2025-07-15-11:45:30.849.919 2025-07-15-11:45:30.854.504 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.855.463 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 86 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.859.259 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 86; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 77, 78, 79, 80, 81, 82, 83, 84, 85, 86; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.804.303 2025-07-15-11:45:30.805.769 -> 2025-07-15-11:45:30.806.629 2025-07-15-11:45:30.811.003 -> 2025-07-15-11:45:30.811.853 2025-07-15-11:45:30.817.149 -> 2025-07-15-11:45:30.817.930 2025-07-15-11:45:30.825.428 -> 2025-07-15-11:45:30.826.257 2025-07-15-11:45:30.829.018 -> 2025-07-15-11:45:30.829.800 2025-07-15-11:45:30.839.473 -> 2025-07-15-11:45:30.844.077 2025-07-15-11:45:30.844.828 -> 2025-07-15-11:45:30.845.563 2025-07-15-11:45:30.849.176 -> 2025-07-15-11:45:30.849.919 2025-07-15-11:45:30.854.504 -> 2025-07-15-11:45:30.855.550 2025-07-15-11:45:30.858.932 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.859.809 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 87 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.865.547 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 87; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 78, 79, 80, 81, 82, 83, 84, 85, 86, 87; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.806.629 2025-07-15-11:45:30.811.003 -> 2025-07-15-11:45:30.811.853 2025-07-15-11:45:30.817.149 -> 2025-07-15-11:45:30.817.930 2025-07-15-11:45:30.825.428 -> 2025-07-15-11:45:30.826.257 2025-07-15-11:45:30.829.018 -> 2025-07-15-11:45:30.829.800 2025-07-15-11:45:30.839.473 -> 2025-07-15-11:45:30.844.077 2025-07-15-11:45:30.844.828 -> 2025-07-15-11:45:30.845.563 2025-07-15-11:45:30.849.176 -> 2025-07-15-11:45:30.849.919 2025-07-15-11:45:30.854.504 -> 2025-07-15-11:45:30.855.550 2025-07-15-11:45:30.858.932 -> 2025-07-15-11:45:30.859.871 2025-07-15-11:45:30.865.220 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.866.093 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 88 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.871.406 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 88; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 1; device_queue: 79, 80, 81, 82, 83, 84, 85, 86, 87, 88; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.811.853 2025-07-15-11:45:30.817.149 -> 2025-07-15-11:45:30.817.930 2025-07-15-11:45:30.825.428 -> 2025-07-15-11:45:30.826.257 2025-07-15-11:45:30.829.018 -> 2025-07-15-11:45:30.829.800 2025-07-15-11:45:30.839.473 -> 2025-07-15-11:45:30.844.077 2025-07-15-11:45:30.844.828 -> 2025-07-15-11:45:30.845.563 2025-07-15-11:45:30.849.176 -> 2025-07-15-11:45:30.849.919 2025-07-15-11:45:30.854.504 -> 2025-07-15-11:45:30.855.550 2025-07-15-11:45:30.858.932 -> 2025-07-15-11:45:30.859.871 2025-07-15-11:45:30.865.220 -> 2025-07-15-11:45:30.866.155 2025-07-15-11:45:30.871.111 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.871.977 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 89 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.872.393 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 89; host_queue: 0, 0, 0, 0, 0, 0, 0, 1, 1, 0; device_queue: 80, 81, 82, 83, 84, 85, 86, 87, 88, 89; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.817.930 2025-07-15-11:45:30.825.428 -> 2025-07-15-11:45:30.826.257 2025-07-15-11:45:30.829.018 -> 2025-07-15-11:45:30.829.800 2025-07-15-11:45:30.839.473 -> 2025-07-15-11:45:30.844.077 2025-07-15-11:45:30.844.828 -> 2025-07-15-11:45:30.845.563 2025-07-15-11:45:30.849.176 -> 2025-07-15-11:45:30.849.919 2025-07-15-11:45:30.854.504 -> 2025-07-15-11:45:30.855.550 2025-07-15-11:45:30.858.932 -> 2025-07-15-11:45:30.859.871 2025-07-15-11:45:30.865.220 -> 2025-07-15-11:45:30.866.155 2025-07-15-11:45:30.871.111 -> 2025-07-15-11:45:30.872.026 2025-07-15-11:45:30.872.189 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.872.722 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 90 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.883.684 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 90; host_queue: 0, 0, 0, 0, 0, 1, 1, 0, 0, 2; device_queue: 81, 82, 83, 84, 85, 86, 87, 88, 89, 90; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.826.257 2025-07-15-11:45:30.829.018 -> 2025-07-15-11:45:30.829.800 2025-07-15-11:45:30.839.473 -> 2025-07-15-11:45:30.844.077 2025-07-15-11:45:30.844.828 -> 2025-07-15-11:45:30.845.563 2025-07-15-11:45:30.849.176 -> 2025-07-15-11:45:30.849.919 2025-07-15-11:45:30.854.504 -> 2025-07-15-11:45:30.855.550 2025-07-15-11:45:30.858.932 -> 2025-07-15-11:45:30.859.871 2025-07-15-11:45:30.865.220 -> 2025-07-15-11:45:30.866.155 2025-07-15-11:45:30.871.111 -> 2025-07-15-11:45:30.872.026 2025-07-15-11:45:30.872.189 -> 2025-07-15-11:45:30.872.760 2025-07-15-11:45:30.883.368 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.884.219 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 91 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.884.629 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 91; host_queue: 0, 0, 0, 1, 1, 0, 0, 2, 2, 1; device_queue: 82, 83, 84, 85, 86, 87, 88, 89, 90, 91; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.829.800 2025-07-15-11:45:30.839.473 -> 2025-07-15-11:45:30.844.077 2025-07-15-11:45:30.844.828 -> 2025-07-15-11:45:30.845.563 2025-07-15-11:45:30.849.176 -> 2025-07-15-11:45:30.849.919 2025-07-15-11:45:30.854.504 -> 2025-07-15-11:45:30.855.550 2025-07-15-11:45:30.858.932 -> 2025-07-15-11:45:30.859.871 2025-07-15-11:45:30.865.220 -> 2025-07-15-11:45:30.866.155 2025-07-15-11:45:30.871.111 -> 2025-07-15-11:45:30.872.026 2025-07-15-11:45:30.872.189 -> 2025-07-15-11:45:30.872.760 2025-07-15-11:45:30.883.368 -> 2025-07-15-11:45:30.884.269 2025-07-15-11:45:30.884.430 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.884.993 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 92 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.885.389 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 92; host_queue: 0, 1, 1, 0, 0, 2, 2, 1, 1, 0; device_queue: 83, 84, 85, 86, 87, 88, 89, 90, 91, 92; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.844.077 2025-07-15-11:45:30.844.828 -> 2025-07-15-11:45:30.845.563 2025-07-15-11:45:30.849.176 -> 2025-07-15-11:45:30.849.919 2025-07-15-11:45:30.854.504 -> 2025-07-15-11:45:30.855.550 2025-07-15-11:45:30.858.932 -> 2025-07-15-11:45:30.859.871 2025-07-15-11:45:30.865.220 -> 2025-07-15-11:45:30.866.155 2025-07-15-11:45:30.871.111 -> 2025-07-15-11:45:30.872.026 2025-07-15-11:45:30.872.189 -> 2025-07-15-11:45:30.872.760 2025-07-15-11:45:30.883.368 -> 2025-07-15-11:45:30.884.269 2025-07-15-11:45:30.884.430 -> 2025-07-15-11:45:30.885.030 2025-07-15-11:45:30.885.274 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.886.641 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 93 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.890.639 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.renormalize.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.890.807 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.add_forward_monad_depend [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.891.564 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.add_forward_monad_depend.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.891.671 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.auto_monad_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.891.893 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.auto_monad_grad.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.891.944 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.auto_monad_eliminator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.894.490 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.auto_monad_eliminator.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.894.656 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.cse [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.898.959 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 93; host_queue: 1, 0, 0, 2, 2, 1, 1, 0, 0, 1; device_queue: 84, 85, 86, 87, 88, 89, 90, 91, 92, 93; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.845.563 2025-07-15-11:45:30.849.176 -> 2025-07-15-11:45:30.849.919 2025-07-15-11:45:30.854.504 -> 2025-07-15-11:45:30.855.550 2025-07-15-11:45:30.858.932 -> 2025-07-15-11:45:30.859.871 2025-07-15-11:45:30.865.220 -> 2025-07-15-11:45:30.866.155 2025-07-15-11:45:30.871.111 -> 2025-07-15-11:45:30.872.026 2025-07-15-11:45:30.872.189 -> 2025-07-15-11:45:30.872.760 2025-07-15-11:45:30.883.368 -> 2025-07-15-11:45:30.884.269 2025-07-15-11:45:30.884.430 -> 2025-07-15-11:45:30.885.030 2025-07-15-11:45:30.885.274 -> 2025-07-15-11:45:30.886.718 2025-07-15-11:45:30.898.714 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.899.557 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 94 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.899.838 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.cse.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.900.019 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_3 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.900.082 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r1_a_3 [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.900.088 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 94; host_queue: 0, 2, 2, 1, 1, 0, 0, 1, 2, 2; device_queue: 85, 86, 87, 88, 89, 90, 91, 92, 93, 94; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.849.919 2025-07-15-11:45:30.854.504 -> 2025-07-15-11:45:30.855.550 2025-07-15-11:45:30.858.932 -> 2025-07-15-11:45:30.859.871 2025-07-15-11:45:30.865.220 -> 2025-07-15-11:45:30.866.155 2025-07-15-11:45:30.871.111 -> 2025-07-15-11:45:30.872.026 2025-07-15-11:45:30.872.189 -> 2025-07-15-11:45:30.872.760 2025-07-15-11:45:30.883.368 -> 2025-07-15-11:45:30.884.269 2025-07-15-11:45:30.884.430 -> 2025-07-15-11:45:30.885.030 2025-07-15-11:45:30.885.274 -> 2025-07-15-11:45:30.886.718 2025-07-15-11:45:30.898.714 -> 2025-07-15-11:45:30.899.608 2025-07-15-11:45:30.899.830 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.900.118 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.900.490 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 95 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.900.820 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 95; host_queue: 2, 1, 1, 0, 0, 1, 2, 2, 2, 1; device_queue: 86, 87, 88, 89, 90, 91, 92, 93, 94, 95; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.855.550 2025-07-15-11:45:30.858.932 -> 2025-07-15-11:45:30.859.871 2025-07-15-11:45:30.865.220 -> 2025-07-15-11:45:30.866.155 2025-07-15-11:45:30.871.111 -> 2025-07-15-11:45:30.872.026 2025-07-15-11:45:30.872.189 -> 2025-07-15-11:45:30.872.760 2025-07-15-11:45:30.883.368 -> 2025-07-15-11:45:30.884.269 2025-07-15-11:45:30.884.430 -> 2025-07-15-11:45:30.885.030 2025-07-15-11:45:30.885.274 -> 2025-07-15-11:45:30.886.718 2025-07-15-11:45:30.898.714 -> 2025-07-15-11:45:30.899.608 2025-07-15-11:45:30.899.830 -> 2025-07-15-11:45:30.900.535 2025-07-15-11:45:30.900.703 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.901.180 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 96 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.901.605 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 96; host_queue: 1, 0, 0, 1, 2, 2, 2, 1, 1, 0; device_queue: 87, 88, 89, 90, 91, 92, 93, 94, 95, 96; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.859.871 2025-07-15-11:45:30.865.220 -> 2025-07-15-11:45:30.866.155 2025-07-15-11:45:30.871.111 -> 2025-07-15-11:45:30.872.026 2025-07-15-11:45:30.872.189 -> 2025-07-15-11:45:30.872.760 2025-07-15-11:45:30.883.368 -> 2025-07-15-11:45:30.884.269 2025-07-15-11:45:30.884.430 -> 2025-07-15-11:45:30.885.030 2025-07-15-11:45:30.885.274 -> 2025-07-15-11:45:30.886.718 2025-07-15-11:45:30.898.714 -> 2025-07-15-11:45:30.899.608 2025-07-15-11:45:30.899.830 -> 2025-07-15-11:45:30.900.535 2025-07-15-11:45:30.900.703 -> 2025-07-15-11:45:30.901.225 2025-07-15-11:45:30.901.461 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.901.926 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 97 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.902.636 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.902.783 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.905.029 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.905.161 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.907.578 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.907.705 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.908.833 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 97; host_queue: 0, 1, 2, 2, 2, 1, 1, 0, 0, 1; device_queue: 88, 89, 90, 91, 92, 93, 94, 95, 96, 97; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.866.155 2025-07-15-11:45:30.871.111 -> 2025-07-15-11:45:30.872.026 2025-07-15-11:45:30.872.189 -> 2025-07-15-11:45:30.872.760 2025-07-15-11:45:30.883.368 -> 2025-07-15-11:45:30.884.269 2025-07-15-11:45:30.884.430 -> 2025-07-15-11:45:30.885.030 2025-07-15-11:45:30.885.274 -> 2025-07-15-11:45:30.886.718 2025-07-15-11:45:30.898.714 -> 2025-07-15-11:45:30.899.608 2025-07-15-11:45:30.899.830 -> 2025-07-15-11:45:30.900.535 2025-07-15-11:45:30.900.703 -> 2025-07-15-11:45:30.901.225 2025-07-15-11:45:30.901.461 -> 2025-07-15-11:45:30.901.967 2025-07-15-11:45:30.908.468 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.910.690 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 98 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.911.508 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.911.648 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.913.874 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.914.021 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.916.223 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.916.378 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.918.573 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.918.725 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.919.053 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 98; host_queue: 2, 2, 2, 1, 1, 0, 0, 1, 1, 2; device_queue: 89, 90, 91, 92, 93, 94, 95, 96, 97, 98; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.872.026 2025-07-15-11:45:30.872.189 -> 2025-07-15-11:45:30.872.760 2025-07-15-11:45:30.883.368 -> 2025-07-15-11:45:30.884.269 2025-07-15-11:45:30.884.430 -> 2025-07-15-11:45:30.885.030 2025-07-15-11:45:30.885.274 -> 2025-07-15-11:45:30.886.718 2025-07-15-11:45:30.898.714 -> 2025-07-15-11:45:30.899.608 2025-07-15-11:45:30.899.830 -> 2025-07-15-11:45:30.900.535 2025-07-15-11:45:30.900.703 -> 2025-07-15-11:45:30.901.225 2025-07-15-11:45:30.901.461 -> 2025-07-15-11:45:30.901.967 2025-07-15-11:45:30.908.468 -> 2025-07-15-11:45:30.910.799 2025-07-15-11:45:30.918.628 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.920.913 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.921.062 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.922.714 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 99 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.923.248 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.923.269 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 99; host_queue: 2, 1, 1, 0, 0, 1, 1, 2, 3, 2; device_queue: 90, 91, 92, 93, 94, 95, 96, 97, 98, 99; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.872.760 2025-07-15-11:45:30.883.368 -> 2025-07-15-11:45:30.884.269 2025-07-15-11:45:30.884.430 -> 2025-07-15-11:45:30.885.030 2025-07-15-11:45:30.885.274 -> 2025-07-15-11:45:30.886.718 2025-07-15-11:45:30.898.714 -> 2025-07-15-11:45:30.899.608 2025-07-15-11:45:30.899.830 -> 2025-07-15-11:45:30.900.535 2025-07-15-11:45:30.900.703 -> 2025-07-15-11:45:30.901.225 2025-07-15-11:45:30.901.461 -> 2025-07-15-11:45:30.901.967 2025-07-15-11:45:30.908.468 -> 2025-07-15-11:45:30.910.799 2025-07-15-11:45:30.918.628 -> 2025-07-15-11:45:30.922.829 2025-07-15-11:45:30.923.087 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.923.382 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:30.923.846 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 100 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.926.029 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.926.143 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.928.219 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.928.352 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.931.282 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.931.431 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.933.589 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.933.725 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.935.902 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.936.059 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.938.240 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.938.393 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.940.578 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.940.742 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_3.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.940.857 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.expand_dump_flag [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.940.962 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.expand_dump_flag.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.941.009 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.941.053 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.943.641 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.switch_simplify.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.943.801 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.loop_unroll [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.943.848 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_loop_unroll [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.946.324 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.loop_unroll.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.946.518 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:30.946.575 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_a_1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.002.729 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_1.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.002.914 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.invalid_dout_check [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.004.119 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.invalid_dout_check.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.004.282 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.recompute_prepare [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.004.334 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_recompute_prepare [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.004.739 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.recompute_prepare.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.004.810 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.updatestate_depend_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.005.230 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.updatestate_depend_eliminate.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.005.330 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.005.566 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.005.628 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.006.066 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.updatestate_loads_eliminate.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.006.152 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.parameter_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.006.224 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.parameter_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.006.266 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_2 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.006.305 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r2_a_2 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.006.343 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.006.679 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.006.759 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.007.070 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.007.139 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.007.448 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.007.530 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.007.828 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.007.901 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.008.183 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.008.254 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.008.608 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.008.697 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.009.016 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.009.097 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.009.395 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.009.478 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.009.869 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.009.950 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.010.412 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.010.535 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.010.851 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.010.926 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.011.272 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.011.349 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.011.662 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.011.754 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.012.055 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.012.136 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.012.427 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.012.506 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.012.900 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.012.985 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.013.321 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.013.410 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_2.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.013.481 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.accelerated_algorithm [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.013.532 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_accelerated_algorithm [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.013.966 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.accelerated_algorithm.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.014.046 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.shard [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.014.088 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:627] Shard] Shard pass starts. [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.014.125 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:630] Shard] Shard Prim don't exist, skip Shard pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.014.199 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.shard.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.014.256 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.meta_shard_fg_expand [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.014.484 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.meta_shard_fg_expand.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.014.566 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.shard_inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.014.613 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_shard_inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.014.981 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.shard_inline.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.015.067 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_send_recv [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.015.364 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_send_recv.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.015.448 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.auto_parallel [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.015.678 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 168 us [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.015.737 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.auto_parallel.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.015.788 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.parallel [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.015.851 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.parallel.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.015.896 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.flash_sp [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.016.028 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.flash_sp.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.016.084 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_comm [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.016.332 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_comm.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.016.401 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.allreduce_fusion [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.016.606 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.allreduce_fusion.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.016.679 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.matmul_add_comm_reduction [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.016.932 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.matmul_add_comm_reduction.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.017.002 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.allreduce_slice_to_reducescatter [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.017.041 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.allreduce_slice_to_reducescatter.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.017.119 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.virtual_shard_identity [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.017.165 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_virtual_shard_identity [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.017.551 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.virtual_shard_identity.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.017.629 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.virtual_dataset [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.017.675 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_virtual_dataset [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.018.015 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.virtual_dataset.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.018.091 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.get_grad_eliminate_ [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.018.131 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_get_grad_eliminate_ [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.018.513 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.get_grad_eliminate_.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.018.585 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.virtual_output [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.018.623 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_virtual_output [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.018.968 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.virtual_output.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.019.031 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_forward [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.019.270 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_forward.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.019.334 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.offload_activation [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.019.615 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.offload_activation.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.019.687 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.cell_reuse_recompute_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.019.733 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.cell_reuse_recompute_pass.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.019.775 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.019.812 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r2_cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.019.856 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: remove_not_recompute_node [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.020.562 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: remove_not_recompute_node, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.020.657 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.cell_reuse_handle_not_recompute_node_pass.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.020.753 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_recompute_call_nodes [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.020.805 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_recompute_call_nodes.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.020.847 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.before_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.020.890 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_before_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.021.595 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.before_grad.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.021.724 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.set_forward_comm_id_for_comm_node_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.022.017 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.set_forward_comm_id_for_comm_node_pass.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.022.092 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.meta_fg_expand [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.028.097 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.meta_fg_expand.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.028.277 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.flash_sp_send_recv_attached [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.028.331 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.flash_sp_send_recv_attached.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.028.373 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.receive_attached [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.028.412 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.receive_attached.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.028.451 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.after_resolve [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.028.493 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_after_resolve [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.028.977 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.after_resolve.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.029.068 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_after_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.029.120 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_a_after_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.029.662 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_after_grad.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.029.758 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.renormalize [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.036.843 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:433] Eval] Add root_func_graph_backup [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.049.405 [mindspore/ccsrc/pipeline/jit/ps/action.cc:316] AbstractAnalyze] function call depth: 0, simulate call depth: 0 [INFO] ANALYZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.050.411 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:313] Run] Specialize set top func graph context: {FuncGraph: 263_1_mindspore_train_dataset_helper__DataWrapper_construct_433 Args: [0]: AbstractRefTensor(key: conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [1]: AbstractRefTensor(key: conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [2]: AbstractRefTensor(key: fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [3]: AbstractRefTensor(key: fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [4]: AbstractRefTensor(key: fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [5]: AbstractRefTensor(key: fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [6]: AbstractRefTensor(key: fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [7]: AbstractRefTensor(key: fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [8]: AbstractRefTensor(key: global_step, ref_value: AbstractRefTensor(shape: (1), element: AbstractScalar(Type: Int32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [9]: AbstractRefTensor(key: momentum, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [10]: AbstractRefTensor(key: learning_rate, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [11]: AbstractRefTensor(key: moments.conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [12]: AbstractRefTensor(key: moments.conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [13]: AbstractRefTensor(key: moments.fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [14]: AbstractRefTensor(key: moments.fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [15]: AbstractRefTensor(key: moments.fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [16]: AbstractRefTensor(key: moments.fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [17]: AbstractRefTensor(key: moments.fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), [18]: AbstractRefTensor(key: moments.fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x23511450, value: ValueAny), value: ValueAny, is_parameter), Parent: } [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.059.072 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.renormalize.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.059.265 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.add_forward_monad_depend [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.059.335 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.add_forward_monad_depend.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.059.373 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.auto_monad_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.059.404 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.auto_monad_grad.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.059.439 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.auto_monad_eliminator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.060.162 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.auto_monad_eliminator.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.060.267 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.cse [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.068.401 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.cse.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.068.581 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_3 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.068.640 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r2_a_3 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.068.679 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.069.051 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.069.129 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.069.429 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.069.501 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.069.794 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.069.852 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.070.132 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.070.188 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.070.592 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.070.666 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.070.972 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.071.033 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.071.340 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.071.402 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.071.701 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.071.779 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_3.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.071.845 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.expand_dump_flag [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.071.894 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.expand_dump_flag.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.071.942 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.071.986 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.072.350 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.switch_simplify.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.072.430 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.loop_unroll [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.072.480 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_loop_unroll [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.072.817 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.loop_unroll.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.072.899 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.072.945 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_a_1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.082.574 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_1.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.082.740 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.invalid_dout_check [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.083.090 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.invalid_dout_check.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.083.157 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.recompute_prepare [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.083.238 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_recompute_prepare [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.083.602 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.recompute_prepare.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.083.673 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.updatestate_depend_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.083.899 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.updatestate_depend_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.083.964 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.084.168 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.084.236 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.084.453 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.updatestate_loads_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.084.523 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.parameter_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.084.573 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.parameter_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.084.620 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_2 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.084.665 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r3_a_2 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.084.708 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.085.002 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.085.087 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.085.372 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.085.436 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.085.742 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.085.808 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.086.109 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.086.174 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.086.514 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.086.610 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.086.961 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.087.024 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.087.300 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.087.369 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.087.664 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.087.740 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.088.144 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.088.230 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.088.656 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.088.717 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.089.020 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.089.084 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.089.433 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.089.515 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.089.807 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.089.883 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.090.164 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.090.229 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.090.562 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.090.637 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.091.004 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.091.087 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.091.409 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.091.466 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_2.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.091.537 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.accelerated_algorithm [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.091.590 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_accelerated_algorithm [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.092.003 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.accelerated_algorithm.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.092.079 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.shard [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.092.124 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:627] Shard] Shard pass starts. [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.092.168 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:630] Shard] Shard Prim don't exist, skip Shard pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.092.204 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.shard.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.092.248 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.meta_shard_fg_expand [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.092.391 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.meta_shard_fg_expand.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.092.445 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.shard_inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.092.485 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_shard_inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.092.837 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.shard_inline.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.092.909 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_send_recv [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.093.200 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_send_recv.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.093.286 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.auto_parallel [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.093.526 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 176 us [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.093.589 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.auto_parallel.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.093.649 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.parallel [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.093.717 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.parallel.changed [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.093.771 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.flash_sp [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.093.845 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.flash_sp.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.093.895 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_comm [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.094.150 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_comm.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.094.237 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.allreduce_fusion [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.094.505 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.allreduce_fusion.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.094.587 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.matmul_add_comm_reduction [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.094.863 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.matmul_add_comm_reduction.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.094.943 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.allreduce_slice_to_reducescatter [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.094.985 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.allreduce_slice_to_reducescatter.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.095.029 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.virtual_shard_identity [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.095.074 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_virtual_shard_identity [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.095.465 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.virtual_shard_identity.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.095.547 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.virtual_dataset [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.095.595 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_virtual_dataset [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.095.960 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.virtual_dataset.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.096.055 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.get_grad_eliminate_ [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.096.103 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_get_grad_eliminate_ [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.096.459 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.get_grad_eliminate_.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.096.551 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.virtual_output [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.096.609 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_virtual_output [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.096.964 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.virtual_output.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.097.039 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_forward [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.097.285 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_forward.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.097.373 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.offload_activation [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.097.654 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.offload_activation.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.097.729 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.cell_reuse_recompute_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.097.777 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.cell_reuse_recompute_pass.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.097.820 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.097.863 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r3_cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.097.909 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: remove_not_recompute_node [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.098.667 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: remove_not_recompute_node, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.098.775 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.cell_reuse_handle_not_recompute_node_pass.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.098.832 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_recompute_call_nodes [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.098.877 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_recompute_call_nodes.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.098.923 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.before_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.098.973 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_before_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.099.663 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.before_grad.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.099.753 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.set_forward_comm_id_for_comm_node_pass [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.100.047 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.set_forward_comm_id_for_comm_node_pass.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.100.124 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.meta_fg_expand [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.100.322 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.meta_fg_expand.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.100.384 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.flash_sp_send_recv_attached [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.100.429 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.flash_sp_send_recv_attached.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.100.473 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.receive_attached [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.100.510 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.receive_attached.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.100.572 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.after_resolve [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.100.615 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_after_resolve [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.101.045 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.after_resolve.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.101.125 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_after_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.101.169 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_a_after_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.101.739 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_after_grad.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.101.845 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.renormalize [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.101.893 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.renormalize.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.101.942 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.add_forward_monad_depend [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.101.998 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.add_forward_monad_depend.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.102.050 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.auto_monad_grad [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.102.099 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.auto_monad_grad.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.102.146 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.auto_monad_eliminator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.102.751 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.auto_monad_eliminator.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.102.870 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.cse [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.103.607 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.cse.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.103.700 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_3 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.103.746 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r3_a_3 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.103.787 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.104.100 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.104.157 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.104.428 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.104.476 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.104.815 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.104.884 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.105.181 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.105.247 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.105.570 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.105.656 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.105.966 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.106.043 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.106.364 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.106.470 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.102.346 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:1236] InitializeForGe] End initializing for ge. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.102.707 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:95] InitializeForAclop] End initializing for acl. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.102.809 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:254] SetAclOpPrecisionMode] Set aclop PRECISION_MODE: must_keep_origin_dtype [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.103.371 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:683] SetAclDeterministic] Set acl deterministic value: 0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.103.493 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:314] PrintOpSelectedNum] Number of INTERNAL_KERNEL, OPAPI_KERNEL, ACL_KERNEL, ATB_KERNEL, HCCL_KERNEL, HOST_KERNEL: [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.103.542 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:320] PrintOpSelectedNum] 0 0 1 0 0 0 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.103.928 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.104.109 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.104.491 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_0_set_fracz_group_attr in 190.452 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.104.933 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_1_insert_identity in 330.723 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.105.141 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_2_erase_visit_attr in 129.661 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.105.551 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_3_deal_ref_output in 315.653 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.105.702 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_4_insert_type_transform_op in 67.951 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.105.756 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_5_shape_reshape is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.105.794 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_6_shape_reshape_direct is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.106.036 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_opt_acl_after_kernel_select_pm_6_shape_reshape_direct in 190.031 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.106.184 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_7_graph_view_replace in 80.591 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.106.257 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_8_label_1f1b_overlap_node in 20.57 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.106.323 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_9_insert_move_to in 21.41 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.106.447 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:173] GEBackendOptimizeACLAfterKernelSelect] [PROF]GEBackendOptimizeACLAfterKernelSelect costs 2.698 msec. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.106.800 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.106.884 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_3.unchanged [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.106.956 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass opt_a end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.107.012 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass py_interpret_to_execute_after_opt_a start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.107.349 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass py_interpret_to_execute_after_opt_a end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.107.429 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass slice_cell_reuse_recomputed_activation start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.107.477 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass slice_cell_reuse_recomputed_activation end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.107.519 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass rewriter_after_opt_a start ... [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.106.715 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.106.853 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.106.931 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:210] GEBackendOptimizeACLAfterKernelPacket] [PROF]GEBackendOptimizeACLAfterKernelPacket costs 0.008 msec. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.107.017 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_packet_0_graph_view_replace in 27.36 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:31.107.230 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.107.430 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:131] OptimizeACLGraphAfterKernelSelect] [PROF]OptimizeACLGraphAfterKernelSelect costs 3.793 msec. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:31.107.509 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.107.657 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_after_inline_pm_0_DropoutGenMask is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.107.746 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_after_inline_pm_0_DropoutGenMask in 34.51 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.107.929 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_1_cse in 119.881 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.108.024 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_2_eliminate_maketuple_getitem in 35.68 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:31.108.110 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.108.237 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_3_insert_pre_fetch_depend in 152.372 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.108.311 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_4_overlap_1b1f in 18.74 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:31.108.394 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:281] GEAfterInlineOptimize] [PROF]GEAfterInlineOptimize costs 0.765 msec. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.108.469 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:436] InlineCallGraph] [PROF]InlineCallGraph costs 0.979 msec. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:31.108.545 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.108.726 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:911] InlineSwitchGraph] [PROF]InlineSwitchGraph costs 0.197 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.108.837 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:622] CompileGraphImpl] [PROF]OptimizeGraph costs 10361.5 msec. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:31.108.920 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:31.109.093 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive InitDataSetQueue [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:31.109.959 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive InitDataSetQueue [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.110.059 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:InitDataSetQueue, kernel type:acl_kernel [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:31.110.242 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.110.245 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass rewriter_after_opt_a end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.110.373 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass convert_after_rewriter start ... [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.110.515 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1194] OptimizeExecutionOrder] [PROF]OptimizeExecutionOrder costs 0.302 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.110.612 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:631] CompileGraphImpl] [PROF]CreateKernel costs 1.704 msec. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.110.750 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass convert_after_rewriter end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.110.817 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass order_py_execute_after_rewriter start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.111.028 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass order_py_execute_after_rewriter end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.111.085 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass opt_b start ... [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:31.111.077 [mindspore/ccsrc/backend/common/session/session_basic.cc:1079] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 0 start [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.111.147 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.b_1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.111.191 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_b_r1_b_1 [INFO] DEBUG(1384455,ffffae59eec0,python):2025-07-15-11:45:31.111.163 [mindspore/ccsrc/debug/summary/summary.cc:55] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 0 start [INFO] DEBUG(1384455,ffffae59eec0,python):2025-07-15-11:45:31.111.224 [mindspore/ccsrc/debug/summary/summary.cc:60] RecurseSetSummaryNodesForAllGraphs] This function should be skipped on GE backend. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.111.234 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: zero_like_fill_zero [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.111.324 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1216] ResetNodeIds] Start reset node id [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.111.416 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1236] ResetNodeIds] End reset node id [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.111.476 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.111.540 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: zero_like_fill_zero, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.111.608 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: list_to_tuple_eliminator_ [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.111.592 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.111.656 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1138] DoStreamAssign] Status record: start stream assign, kernel_graph0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.111.757 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/InitDataSetQueue-op0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.111.899 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: list_to_tuple_eliminator_, change: 0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.111.875 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1154] DoStreamAssign] Status record: end stream assign, kernel_graph0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.111.960 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_to_list_eliminator_ [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:31.111.995 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:948] PrintGraphExecuteOrder] Graph 0 execution order: [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:31.112.119 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[0], node name[Default/InitDataSetQueue-op0], logic id[4294967295], stream id[0], node info[@kernel_graph0:CNode_4{[0]: ValueNode InitDataSetQueue}] [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.112.249 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:676] CompileGraphImpl] [PROF]PreprocessBeforeRun costs 0.938 msec. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.112.255 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_to_list_eliminator_, change: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.112.309 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:722] CreateDeviceAddress] Status record: start create device address. graph id: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.112.321 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.112.541 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:729] CreateDeviceAddress] Status record: end create device address. graph id: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.112.615 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:684] CompileGraphImpl] [PROF]CreateDeviceAddress costs 0.295 msec. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.112.645 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.112.737 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_const_eliminator [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:31.112.927 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1194] CacheGraphOutputToFrontNodeWithIndex] Get graph backend output nodes. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:31.113.021 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1202] CacheGraphOutputToFrontNodeWithIndex] Get graph front output nodes. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.113.035 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_const_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.113.111 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.113.113 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:487] CompileGraph] Status record: end compile graph. graph id: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.113.385 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.113.449 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_set_item_eliminator [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.113.567 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:884] CompileGraphFromSegment] Compile cut segment, the cut node: @_anonymous__1:CNode_2{[0]: ValueNode Return, [1]: CNode_3} [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.113.713 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1795] Build] [PROF]CompileSubGraph costs 10389 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.113.791 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:249] ExportCompileCacheKBK] Compile cache: disable by front compile cache config. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.113.775 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.113.856 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_depend_reorder [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.113.908 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1809] Build] Status record: construct the graph compiler info. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.114.039 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:957] Transform] Graph(kernel_graph_0) transforms actor begin, strategy:pipeline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.114.162 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_depend_reorder, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.114.239 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_convert_item_index_to_positive [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.114.241 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:490] InitGraphParameterStore] Init graph parameter store: kernel_graph_0, outer size: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.114.440 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:471] TryEnableKbkSubGraphExecMode] Enable kbk subgraph execute mode for actor set: kernel_graph_0, phase: [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.114.543 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:391] TryEnableInputOptimize] Enable input optimize for actor set: kernel_graph_0, phase: [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.114.641 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2317] BuildDataPrepareActorForGraphParameterStore] Create data prepare actor: kernel_graph_0_DataPrepareActor [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.114.585 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_convert_item_index_to_positive, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.114.708 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: make_slice_get_slice_eliminator [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.114.834 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.114.992 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.115.005 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: make_slice_get_slice_eliminator, change: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.115.062 [mindspore/ccsrc/runtime/graph_scheduler/actor/super_kernel_actor.cc:2024] SuperKernelActor] The kernel graph: kernel_graph0 phase: , enable parallel dispatch kernel: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.115.074 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.115.224 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.115.323 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.115.392 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2273] BuildLoopCountActor] Create loop count actor: kernel_graph_0_LoopCountActor [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.115.394 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.115.444 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2306] BuildOutputActor] Create output actor: kernel_graph_0_OutputActor [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.115.457 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reset_defer_inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.115.743 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reset_defer_inline, change: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.115.705 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1807] Link] [PROF]GraphSchedulerLinkSinkMode costs 0.057 msec. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.115.805 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.116.111 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.116.184 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.116.584 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.116.672 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_pure_node_eliminater [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.117.034 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_pure_node_eliminater, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.117.115 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: load_eliminater [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.117.075 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.117.229 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.117.435 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: load_eliminater, change: 0 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.117.519 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.117.523 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: redundant_stop_gradient_eliminater [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.117.624 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.117.795 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:984] Transform] [PROF]GraphSchedulerLink costs 2.24 msec. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.117.850 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: redundant_stop_gradient_eliminater, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.117.937 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: special_op_eliminate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.117.946 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 1_actor_set_kernel_graph_0_invalid_data_arrow_elimination in 22.38 us [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.033 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 2_actor_set_kernel_graph_0_multi_actor_fusion in 27.78 us [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.109 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 3_actor_set_kernel_graph_0_batch_data_arrow_fusion in 2.72 us [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.160 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1001] Transform] Graph(kernel_graph_0) transforms actor end. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.118.251 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: special_op_eliminate, change: 0 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.265 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.118.321 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: dumpgradient_eliminate [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.373 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.485 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:358] Init] kernel_graph_0 has the parameter input num: 0 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.546 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.631 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.682 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.763 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.887 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1827] Build] [PROF]GraphScheduler costs 4.891 msec. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.118.688 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: dumpgradient_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.118.792 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.118.980 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:202] Refresh] Stream manager initialize, stream_size : 2. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.045 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:63] Resize] Task id on stream manager initialize : 0, stream_size : 2. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.112 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1839] Build] [PROF]compile_backend_graph costs 10397.8 msec. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.119.097 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.119.167 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_add_eliminate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.187 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1842] Build] Status record: end compile function graph: _anonymous__1, produce actor: kernel_graph_0, backend_graph_id: 0 [INFO] VM(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.244 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:122] Build] Backend build graph, backend name: , backend type: 0, backend graph id: 0 [INFO] VM(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.310 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:131] Run] Backend run graph: 0, backend type: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.119.457 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_add_eliminate, change: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.478 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1993] Run] Status record: start run actor: kernel_graph_0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.119.541 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_set_eliminate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.615 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:195] PreLaunchCommKernel] Pre launch comm kernel. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.667 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:215] PreLaunchCommKernel] No hccl kernel to pre launch [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.718 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2009] Run] [PROF]PreLaunchCommKernel costs 0.11 msec. [INFO] UTILS(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.762 [mindspore/ccsrc/utils/signal_util.cc:51] RegisterGlobalSignalHandler] MSCONTEXT_REGISTER_INIT_FUNC register int handler [INFO] UTILS(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.803 [mindspore/ccsrc/utils/signal_util.cc:57] RegisterGlobalSignalHandler] The signal has been registered [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.119.868 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_set_eliminate, change: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.119.912 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1259] RefreshGraphParameterStore] Input args size: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.119.952 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_depend_swap [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.120.274 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_depend_swap, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.120.348 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_add_const_eliminate [INFO] DEVICE(1384455,fffdf57defa0,python):2025-07-15-11:45:31.120.319 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:700] SetDeterministic] Set kernel deterministic value: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.120.654 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_add_const_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.120.739 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: value_based_eliminate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.120.868 [mindspore/ccsrc/runtime/graph_scheduler/actor/actor_common.cc:396] operator()] Init defrag memory step freq. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.120.928 [mindspore/ccsrc/runtime/graph_scheduler/actor/actor_common.cc:398] operator()] Config defrag memory step freq : . [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.120.959 [mindspore/ccsrc/runtime/graph_scheduler/actor/actor_common.cc:407] operator()] Defrag memory step freq : 100. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.121.000 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:760] PrepareDataForDeviceTensorStore] Prepare store data, input tensor size: 0, arg size: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.121.049 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: value_based_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.121.146 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: parallel_virtual_node [INFO] DEVICE(1384455,fffe967edfa0,python):2025-07-15-11:45:31.121.321 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:700] SetDeterministic] Set kernel deterministic value: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.121.454 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: parallel_virtual_node, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.121.539 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: const_output_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.121.825 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: const_output_eliminate, change: 0 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.121.908 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.b_1.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.121.983 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.b_2 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.122.035 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_b_r1_b_2 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.122.391 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.b_2.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.122.516 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.updatestate_depend_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.122.804 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.updatestate_depend_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.122.899 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.123.107 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.123.169 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.123.377 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.updatestate_loads_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.123.441 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.renormalize [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.123.485 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.renormalize.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.123.528 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.cse [INFO] GE_ADPT(1384455,fffdf57defa0,python):2025-07-15-11:45:31.123.845 [mindspore/ops/kernel/ascend/acl_ir/acl_allocator.cc:118] RegisterAllocator] Register AclAllocator [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.124.289 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.cse.unchanged [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.124.414 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass opt_b end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.124.467 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass optimize_parallel_all_gather_comm start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.125.286 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OptimizeParallelAllGatherComm [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.125.394 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass optimize_parallel_all_gather_comm end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.125.451 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_param_gather start ... [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.125.576 [mindspore/ccsrc/frontend/parallel/pass/overlap_param_gather.cc:151] OverlapParamGather] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.125.616 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_param_gather end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.125.656 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass cconv start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.125.846 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass cconv end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.125.906 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass loop_unroll start ... [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.127.226 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start loop_unroll_optimizer.r1.j0.loop_unroll [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.127.341 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, loop_unroll_optimizer_r1_loop_unroll [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.127.846 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End loop_unroll_optimizer.r1.j0.loop_unroll.unchanged [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.127.945 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass loop_unroll end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.128.001 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass opt_after_cconv start ... [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.128.079 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.c_1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.128.126 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_after_cconv_r1_c_1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.130.083 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.c_1.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.130.222 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.parameter_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.130.277 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.parameter_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.130.320 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.updatestate_depend_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.130.683 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.updatestate_depend_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.130.761 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.130.977 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.131.041 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.131.246 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.updatestate_loads_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.131.310 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.cse [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.132.037 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.cse.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.132.154 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.renormalize [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.132.196 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.renormalize.unchanged [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.132.240 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass opt_after_cconv end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.132.376 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass remove_dup_value start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.133.314 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass remove_dup_value end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.133.427 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass tuple_transform start ... [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.133.484 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_trans_graph.r1.j0.d_1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.133.528 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_trans_graph_r1_d_1 [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.135.996 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_trans_graph.r1.j0.d_1.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.136.121 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_trans_graph.r1.j0.renormalize [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.136.186 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_trans_graph.r1.j0.renormalize.unchanged [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.136.229 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass tuple_transform end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.136.267 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass partial_unused_args_eliminate start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.136.313 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass partial_unused_args_eliminate end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.136.354 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_cache_embedding start ... [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.136.787 [mindspore/ccsrc/frontend/parallel/cache_embedding/cache_embedding.cc:720] AddCacheEmbedding] Parameters are all not cache enable. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.136.884 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_cache_embedding end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.136.939 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_recomputation start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.138.634 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_recomputation end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.138.777 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass cse_after_recomputation start ... [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.138.838 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_recompute.r1.j0.cse [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.139.408 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_recompute.r1.j0.cse.unchanged [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.139.517 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass cse_after_recomputation end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.139.569 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass environ_conv start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.139.775 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass environ_conv end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.139.838 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass swap_dp_allreduce_reducescatter start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.254 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass swap_dp_allreduce_reducescatter end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.351 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass bias_add_comm_swap start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.440 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass bias_add_comm_swap end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.491 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass label_micro_interleaved_index start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.583 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass label_micro_interleaved_index end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.629 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass label_fine_grained_interleaved_index start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.674 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass label_fine_grained_interleaved_index end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.716 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass merge_cast_opt start ... [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.793 [mindspore/ccsrc/frontend/parallel/pass/merge_cast_opt.cc:59] IsStepIn] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.837 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass merge_cast_opt end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.877 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass slice_recompute_activation start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.916 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass slice_recompute_activation end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.140.957 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass micro_interleaved_order_control start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.000 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass micro_interleaved_order_control end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.047 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass assign_add_opt start ... [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.162 [mindspore/ccsrc/frontend/parallel/pass/assign_add_opt.cc:372] IsNeedOptimizeAssignAdd] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.222 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass assign_add_opt end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.269 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass ForceFp32Comm start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.317 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass ForceFp32Comm end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.362 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass remove_cast_before_assign_add start ... [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.454 [mindspore/ccsrc/frontend/parallel/pass/remove_cast_before_assign_add.cc:45] RemoveCastBeforeAssignAdd] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.502 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass remove_cast_before_assign_add end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.551 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass full_micro_interleaved_order_control start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.651 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass full_micro_interleaved_order_control end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.711 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass reorder_send_recv_between_fp_bp start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.760 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass reorder_send_recv_between_fp_bp end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.801 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass comm_op_add_attrs start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.840 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass comm_op_add_attrs end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.880 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_comm_op_reuse_tag start ... [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.922 [mindspore/ccsrc/frontend/optimizer/comm_op_reuse_tag.cc:67] AddCommOpReuseTag] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.141.962 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_comm_op_reuse_tag end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.142.035 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass interleave_split_concat_branches start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.142.134 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass interleave_split_concat_branches end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.142.189 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass interleave_parallel_branches start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.142.231 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass interleave_parallel_branches end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.142.276 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_opt_shard_in_pipeline start ... [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.142.351 [mindspore/ccsrc/frontend/parallel/pass/overlap_opt_shard_in_pipeline.cc:100] OverlapOptShardInPipeline] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.142.399 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_opt_shard_in_pipeline end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.142.473 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_opt_shard_grad_in_pipeline start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.142.530 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_opt_shard_grad_in_pipeline end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.142.570 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass control_data_broadcast_order start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.108 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: ControlDataBroadcastOrderPass [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.196 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass control_data_broadcast_order end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.253 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass grouped_pairwise_exchange_alltoall start ... [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.295 [mindspore/ccsrc/frontend/optimizer/grouped_pairwise_exchange_alltoall.cc:695] SetGroupedPairwiseExchangeAllToAll] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.337 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass grouped_pairwise_exchange_alltoall end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.374 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass offloading_packed_experts start ... [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.419 [mindspore/ccsrc/frontend/parallel/pass/offloading_packed_expert.cc:763] SetOffloadingPackedExpert] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.557 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OffloadingPackedExpertFrontPass2 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.603 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass offloading_packed_experts end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.643 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_recompute_and_grad_model_parallel start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.845 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OverlapRecomputeAndGradModelParallel [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.928 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_recompute_and_grad_model_parallel end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.143.978 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_grad_matmul_and_grad_allreduce start ... [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.144.028 [mindspore/ccsrc/frontend/parallel/pass/overlap_gradmatmul_and_gradallreduce.cc:273] OverlapGradMatmulAndGradAllreduce] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.144.071 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_grad_matmul_and_grad_allreduce end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.144.109 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_recompute_allgather_and_fa_grad start ... [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.144.147 [mindspore/ccsrc/frontend/parallel/pass/overlap_recompute_allgather_and_flashattention_grad.cc:193] OverlapRecomputeAllGatherAndFlashAttentionGrad] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.144.185 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_recompute_allgather_and_fa_grad end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.144.225 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_recompute_comm start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.144.268 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_recompute_comm end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.144.306 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_grad_ring_attention start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.144.514 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OverlapGradRingAttentionPass [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.144.573 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_grad_ring_attention end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.144.618 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_grad_flash_sp start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.295 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OverlapGradFlashSP [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.383 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_grad_flash_sp end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.433 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass begin_end_overlap_inline start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.473 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass begin_end_overlap_inline end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.512 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass split_matmul_comm_elemetwise start ... [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.596 [mindspore/ccsrc/frontend/parallel/pass/split_matmul_comm_elementwise_fp.cc:200] SplitMatmulCommElementwiseFp] SplitMatmulCommElementwiseFp is only support under [semi_]auto_parallel, skip it. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.633 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass split_matmul_comm_elemetwise end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.671 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass split_layernorm_comm start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.708 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass split_layernorm_comm end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.759 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass handle_group_info start ... [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.800 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass handle_group_info end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.844 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass symbol_engine_optimizer start ... [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.145.913 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.build [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.146.096 [mindspore/ccsrc/frontend/optimizer/irpass/symbol_engine_optimizer.cc:44] operator()] There is no dynamic shape node, the SymbolEngineBuilder is disabled. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.146.152 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.build.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.146.203 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.elim_shapecalc [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.146.250 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_elim_shapecalc [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.146.673 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.elim_shapecalc.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.146.774 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.elim_not_effective [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.146.826 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_elim_not_effective [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.147.518 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.elim_not_effective.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.147.632 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.opt_reshape [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.147.684 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_opt_reshape [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.148.032 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.opt_reshape.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.148.119 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.fold_const_symbol [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.148.171 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_fold_const_symbol [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.148.841 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.fold_const_symbol.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.148.955 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.renormalize [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.148.999 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.renormalize.unchanged [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.047 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass symbol_engine_optimizer end. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.098 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end optimize action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.207 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.284 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start detach_backward action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.331 [mindspore/ccsrc/pipeline/jit/ps/pass.cc:1625] DetachBackward] Only auto_parallel and semi_auto_parallel support detach backward graph. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.368 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end detach_backward action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.411 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.467 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start pipeline_parallel_scheduler action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.517 [mindspore/ccsrc/pipeline/jit/ps/pass.cc:1666] PipelineParallelScheduler] Only auto_parallel and semi_auto_parallel support pipeline split. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.552 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end pipeline_parallel_scheduler action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.589 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.149.645 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start auto_monad_reorder action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.150.399 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end auto_monad_reorder action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.150.548 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.150.621 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start get_jit_bprop_graph action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.150.665 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end get_jit_bprop_graph action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.150.703 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.150.747 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start rewriter_after_jit_bprop_graph action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.150.798 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end rewriter_after_jit_bprop_graph action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.150.838 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.150.883 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start opt_after_jit_grad action. [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.152.273 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_jit_grad.r1.j0.ad_related_special_op_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.152.400 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_after_jit_grad_r1_ad_related_special_op_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.153.230 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_jit_grad.r1.j0.ad_related_special_op_eliminate.unchanged [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.153.393 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_jit_grad.r1.j0.mutable_op_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.153.450 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_after_jit_grad_r1_mutable_op_eliminate [INFO] OPTIMIZER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.153.811 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_jit_grad.r1.j0.mutable_op_eliminate.unchanged [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.153.929 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end opt_after_jit_grad action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.154.008 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.154.081 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start distribtued_split action. [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.154.241 [mindspore/ccsrc/frontend/parallel/graph_util/graph_splitter.cc:389] GenerateStrategy] Current parallel mode is data_parallel [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.154.301 [mindspore/ccsrc/frontend/parallel/graph_util/graph_splitter.cc:401] GenerateStrategy] Generated distributed strategy is 1 [INFO] PARALLEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.155.263 [mindspore/ccsrc/frontend/parallel/graph_util/graph_splitter.cc:1293] Run] All nodes are on this process so there's no need to build and split distributed graph. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.155.417 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end distribtued_split action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.155.488 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.155.565 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start validate action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.156.598 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end validate action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.156.708 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PROFILER(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.156.937 [mindspore/ccsrc/plugin/device/ascend/hal/profiler/parallel_strategy_profiling.cc:49] IsProfilingParallelStrategyEnabled] Profiling parallel strategy is disabled. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.157.624 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start backend_pass action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.157.719 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end backend_pass action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.157.779 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.157.841 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start task_emit action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.158.993 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1716] SetRunMode] Run graph mode with kernel by kernel by configuration. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.159.228 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1850] TaskEmitAction] Use the new backend. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.159.709 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1747] Build] Status record: start compile function graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.160.410 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1764] Build] [PROF]InitCommGroup costs 0.41 msec. [INFO] DISTRIBUTED(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.160.555 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1094] WaitAllCommInitDone] All device communictor is initialized. You can launch communication operators after this step. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.160.623 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1768] Build] [PROF]WaitAllCommInit costs 0.114 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.161.245 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:542] IsEnableControlFlowInline] Disable switch inline, executor mode:1 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.161.398 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:372] DoUnifyMindIRPass] Do unify mindir pass for graph 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.161.501 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_pm_0_erase_invalid_micro_depend in 4.64 us [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.161.782 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:220] EnableKBKCompileCache] Disable backend compile cache by front config. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.162.729 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1791] Build] 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434, is_dynamic_graph: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.163.182 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:620] BuildSymbolEngine] Status record: skip build symbol engine for function graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 [INFO] VM(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.163.420 [mindspore/ccsrc/backend/graph_compiler/graph_partition.cc:854] Partition] GraphPartion Info: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 inline mode:0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.165.626 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:913] CompileGraph] Compile graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434, Split segments size: 2 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.165.853 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:857] CompileGraphFromSegment] Compile normal segment, the first node: @393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:equiv_6_CNode_435{[0]: ValueNode Load, [1]: param_fc3.bias, [2]: ValueNode U} [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.167.063 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:409] CompileGraph] Status record: start compile graph. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.167.295 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2257] ConstructKernelGraph] Set zero copy flag for graph:kernel_graph1 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.167.354 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2260] ConstructKernelGraph] Create graph: 1 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.167.725 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc3.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc3.bias [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.168.082 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc3.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc3.weight [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.168.330 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc2.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc2.bias [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.168.542 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc2.weight [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.168.745 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc1.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc1.bias [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.168.953 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc1.weight [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.169.187 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_conv2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_conv2.weight [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.169.404 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_conv1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_conv1.weight [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.170.937 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_global_step by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_global_step [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.171.107 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1156] CreateNewValueNode] Data sync for Tensor Tensor(shape=[1], dtype=Int32, value=[1]) [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.171.687 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1156] CreateNewValueNode] Data sync for Tensor Tensor(shape=[], dtype=Float32, value=0.25) [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.172.067 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc3.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc3.bias [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.172.238 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_learning_rate by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_learning_rate [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.172.384 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_momentum by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_momentum [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.173.002 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc3.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc3.weight [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.173.638 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc2.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc2.bias [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.174.310 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc2.weight [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.175.025 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc1.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc1.bias [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.175.743 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc1.weight [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.176.814 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.conv2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.conv2.weight [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.177.647 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.conv1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.conv1.weight [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.178.246 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:3531] ConstructOutput] Output:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:CNode_436{[0]: ValueNode Depend, [1]: loss, [2]: ValueNode_437} [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.179.720 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.181.028 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:417] CompileGraph] [PROF]ConstructKernelGraph costs 13.71 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.181.244 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:353] RecursiveSetRunMode] Kernel graph: kernel_graph1, set run mode:KernelMode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.181.916 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:188] EliminateIllegalDataTypePass] Start eliminate illegal data type for kernel graph id:1 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.182.459 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_0_convert_list_to_tuple in 294.322 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.183.945 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_1_eliminate_func_type in 1262.91 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.184.287 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:201] EliminateIllegalDataTypePass] [PROF]EliminateIllegalDataTypePass costs 2.365 msec. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.184.393 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:148] CommonUnifyMindIR] start common unify mindir opt graph:1 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.184.503 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: conv_transpose_to_conv_backprop_input [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.185.633 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_0_conv_transpose_to_conv_backprop_input in 1066.15 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.185.773 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: custom_op_reg_info_to_attr [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.185.890 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_1_custom_op_reg_info_to_attr in 114.641 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.185.948 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Custom not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.185.989 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_2_inplace_assign_for_custom_op in 42.08 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.186.030 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_attr_to_unify_mindir [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.187.699 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_3_convert_attr_to_unify_mindir in 1545.7 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.188.076 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:161] CommonUnifyMindIR] [PROF]CommonUnifyMindIR costs 3.634 msec. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.188.213 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:78] BackendCommonOptimization] Status record: start common optimization. graph id: 1 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.188.355 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_dynamic_broadcast_to [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.189.421 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_0_convert_dynamic_broadcast_to in 1006.23 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.191.159 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_1_convert_const_input_to_attr in 1509.67 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.192.570 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_2_custom_op_const_input_to_attr in 1147.84 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.193.789 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_3_convert_const_input_to_tensor_input_for_print in 976.049 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.197.343 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_4_convert_tuple_output_to_maketuple in 3308.69 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.197.577 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_5_convert_unused_tuple_para_to_make_tuple in 40.161 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.197.635 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_6_flatten_concat_fission is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.198.760 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_6_flatten_concat_fission in 980.108 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.199.960 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_7_inset_input_structural_for_py_execute in 975.999 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.200.076 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_8_broadcast_to_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.201.170 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_8_broadcast_to_fusion in 943.828 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.202.837 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_9_add_attr_to_node in 1425.79 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.202.980 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_10_replace_addn is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.204.092 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_10_replace_addn in 943.219 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.204.456 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:90] BackendCommonOptimization] [PROF]BackendCommonOptimization costs 16.185 msec. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.204.529 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:97] BackendCommonOptimization] Status record: end common optimization. graph id: 1 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.204.713 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:255] OptimizationWithoutBackend] [PROF]OptimizationWithoutBackend costs 22.829 msec. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.205.168 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.205.359 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.207.284 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_0_renorm_split in 1145.5 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.207.437 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: reduce_axis_update [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.210.202 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_1_reduce_axis_update in 2660.23 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.210.349 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: space_to_batch_nd_attr_update [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.210.642 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_2_space_to_batch_nd_attr_update in 259.712 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.210.721 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: batch_to_space_nd_attr_update [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.210.823 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_3_batch_to_space_nd_attr_update in 91.721 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.210.881 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AdamWeightDecay not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.210.962 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_4_adam_weight_decay_unify_mindir in 71.35 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.211.338 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_5_add_depend_for_adamw in 274.132 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.211.508 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:403] Run] Skip pass fail, run pass: grad_sparse_softmax_cross_entropy_with_logits_unify_mindir [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.212.846 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_6_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir in 1297.28 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.215.896 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_7_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir_v2 in 2786.09 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.217.184 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_8_sparse_softmax_cross_entropy_with_logits_unify_mindir in 1025.27 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.218.504 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_9_dropout_ext_unify_mindir1 in 1049.96 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.219.700 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_10_dropoutgrad_ext_unify_mindir in 949.719 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.220.959 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_11_dropout_unify_mindir1 in 1016.03 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.221.102 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: dropoutgrad_unify_mindir [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.222.171 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_12_dropoutgrad_unify_mindir in 1010.66 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.222.349 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchange not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.222.414 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_13_neighbor_exchange_unify_mindir in 126.281 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.222.520 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2 not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.222.565 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_14_neighbor_exchange_v2_unify_mindir in 44.18 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.222.605 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2Grad not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.222.646 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_15_neighbor_exchange_v2_grad_unify_mindir in 33.82 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.222.735 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAll not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.222.793 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_16_all_to_all_unify_mindir in 90.94 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.222.879 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAllV not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.222.927 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_17_all_to_all_v_unify_mindir in 48.561 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.012 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.069 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_18_bn_split in 87.721 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.116 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: bn_grad_unify_mindir [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.350 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_19_bn_grad_unify_mindir in 196.352 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.435 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.490 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_20_bn_grad_split in 53.65 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.593 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.653 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_21_batchnormgrad_to_bninfergrad in 102.821 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.738 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.803 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_22_batch_norm_grad_infer_fission in 86.661 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.853 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.910 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_23_batchnorm_to_bninfer in 48.32 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.223.996 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Print not exist in name to cnode [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.224.058 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_24_print_insert_placeholder_for_tensor_name in 85.54 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.224.149 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:403] Run] Skip pass fail, run pass: getnext_for_ge [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.225.548 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_25_getnext_for_ge in 1318.41 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.231.726 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_26_sync_bn_split in 5878.73 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.233.121 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_27_sync_bn_grad_split in 1125.28 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.234.371 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_28_avg_pool_grad_for_ge in 1025.27 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.236.642 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_29_add_attr_to_dump in 1968.57 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.239.023 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_30_ascend_mindir_op_adapter in 2134.14 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.239.167 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.240.368 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission in 1065.64 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.240.469 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_1_cdist_fission is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.241.598 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_1_cdist_fission in 998.639 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.241.707 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_2_cdist_grad_fission is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.242.918 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_2_cdist_grad_fission in 1068.89 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.243.028 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion is enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.243.141 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.243.267 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.243.340 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion in 249.292 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.243.390 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion is enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.243.459 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.243.549 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.243.621 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion in 175.632 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.243.666 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_5_lamb_fission_ge is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.245.042 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_5_lamb_fission_ge in 1191.52 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.245.206 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.246.359 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion in 989.199 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.246.492 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.248.594 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion in 1923.44 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.248.707 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.250.998 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion in 2125.5 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.251.166 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.251.304 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:270] DefineFlashAttentionPattern] Do FlashAttentionPattern V1. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.253.359 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 in 2028.33 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.253.493 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.253.585 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:384] DefineFlashAttentionPattern] Do FlashAttentionPattern V2. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.255.659 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 in 2003.84 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.255.796 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.257.851 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion in 1887.32 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.257.983 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_12_MatMulAllReduce is enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.259.188 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.259.388 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.259.660 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.259.770 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.259.960 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.260.063 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.040 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_12_MatMulAllReduce in 2908.11 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.163 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_13_grouped_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.208 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_14_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.246 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_15_MatMulAllReduceAddRmsNorm is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.281 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_16_add_layer_norm_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.321 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_17_add_layer_norm_v3_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.357 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_18_add_layer_norm_ext_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.392 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_19_inference_qbmm_add_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.428 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_20_inference_swiglu_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.499 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_21_inference_swiglu_fusion_v2 is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.545 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_22_inference_matmul_split_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.585 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_23_add_rms_norm_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.663 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_24_swiglu_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.705 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_25_swiglu_reshape_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.748 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_26_add_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.789 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_27_add_cast_rms_norm_cast_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.832 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_28_rms_norm_add_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.873 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_29_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.907 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_30_add_cast_rms_norm_cast_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.951 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_31_shape_reshape is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.261.992 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_32_split_concat_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.263.578 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_32_split_concat_fusion in 1422.82 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.263.727 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_33_quant_matmul_elemwise_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.263.775 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_34_matmul_sigmoid_add_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.263.812 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_35_matmul_sigmoid_cast_add_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.263.848 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_36_matmul_elemwise_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.263.885 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_37_qbmm_allreduce_convert_bias is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.263.920 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.266.094 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion in 2007.52 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.266.241 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_39_remove_fa_tensor_to_tuple_ops is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.266.328 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_40_transpose_batch_matmul_transpose_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.266.371 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_41_moe_init_routing_dyn_quantv2_fusion is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.266.408 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.267.729 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion in 1128.91 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.268.121 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:243] GEUnifyMindIR] [PROF]GEUnifyMindIR costs 63.23 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.269.903 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.271.375 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:39] MarkRefGraph] Mark graph is ref graph: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.271.835 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.271.942 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.271.996 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.272.049 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.272.103 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.272.157 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.272.212 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.272.264 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.272.317 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.275.547 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unfold_inputs_for_special_nodes_pm_0_ascend_convert_tuple_input_to_dynamic_input in 2932.33 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.277.038 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_0_process_call_inline in 966.148 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.279.785 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_1_seed_adapter in 2497.27 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.280.380 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_2_insert_tensor_move_for_communication in 394.393 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.281.574 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_3_process partial inline in 972.819 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.282.555 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_4_expander_fallback in 720.026 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.283.887 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_5_convert_pad_v3_paddings in 1117.65 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.285.045 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_6_convert_pad_v3_grad_paddings in 945.078 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.287.078 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_7_resize_bilinear_add_attr in 1798.77 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.287.308 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_8_backend_custom_depend in 84.171 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.287.579 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:122] GEBackendOptimizeACL] [PROF]GEBackendOptimizeACL costs 11.621 msec. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.287.776 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:97] OptimizeACLGraph] [PROF]OptimizeACLGraph costs 16.439 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.288.539 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.289.512 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.289.669 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.289.743 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.289.829 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.289.929 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] GetNext is not defined in opdef. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.290.382 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] GetNext select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.290.486 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.290.595 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.290.662 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.290.743 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.290.803 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.290.889 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.291.044 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Default/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.291.125 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.291.245 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.291.485 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.291.607 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.291.658 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.291.738 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.292.358 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] OneHot select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.292.453 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.292.553 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.292.629 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.292.715 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.292.774 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] Conv2D is not defined in opdef. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.293.421 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Conv2D select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.293.557 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.293.666 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.293.718 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.293.795 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.293.853 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.293.937 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.294.058 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.294.146 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.294.286 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ReLU select aclnn kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.294.356 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.294.463 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.294.522 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.294.606 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.294.690 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] MaxPool is not defined in opdef. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.295.127 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] MaxPool select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.295.210 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.295.306 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.295.355 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.295.439 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.295.725 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.295.876 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.295.929 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.296.005 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.296.093 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.296.188 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.296.325 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.296.434 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.296.479 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.296.559 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.296.791 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.296.904 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.296.954 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.297.063 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.297.155 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.297.241 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.297.379 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.297.477 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.297.521 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.297.596 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.297.648 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.297.727 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.297.892 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.297.993 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.298.252 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] MatMul select aclnn kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.298.330 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.298.439 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.298.498 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.298.578 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.299.102 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] BiasAdd select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.299.190 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.299.286 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.299.363 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.299.445 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.299.510 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.299.597 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.299.743 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.299.848 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.299.897 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.299.980 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.300.046 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.300.132 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.300.346 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.300.495 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.300.547 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.300.630 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.300.990 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.301.123 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.301.180 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.301.261 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.301.324 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.301.409 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.301.542 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.301.678 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.301.731 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.301.831 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.301.896 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.301.988 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.302.195 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.302.314 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.302.368 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.302.474 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.302.849 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.302.978 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.303.029 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.303.113 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.303.176 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.303.266 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.303.372 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.303.470 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.303.561 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.303.748 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.303.862 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.303.957 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.304.050 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.304.128 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] SoftmaxCrossEntropyWithLogits is not defined in opdef. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.304.689 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] SoftmaxCrossEntropyWithLogits select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.304.815 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.304.917 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.304.968 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.305.049 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.305.167 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.305.259 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.305.397 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.305.501 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.305.721 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Mul select aclnn kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.305.806 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.305.908 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.305.968 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.306.064 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.306.141 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.306.237 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.306.354 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.306.468 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.306.586 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.306.772 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.306.875 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.306.927 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.307.013 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.307.665 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ReduceMean select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.307.776 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.307.881 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.307.932 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.308.013 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.308.082 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.308.161 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.308.354 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.308.471 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.308.522 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.308.629 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.308.705 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.308.789 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.308.986 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.309.092 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.309.147 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.309.230 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.309.288 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] AllReduce is not defined in opdef. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.309.340 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.309.426 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.309.854 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.309.989 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.310.152 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] AllReduce select hccl kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.310.223 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.310.314 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.310.363 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.310.471 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.310.931 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] BiasAddGrad select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.311.013 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.311.104 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.311.148 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.311.227 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.311.469 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.311.582 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.311.744 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.311.850 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.311.908 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.311.993 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.312.101 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.312.193 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.312.352 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.312.455 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.312.508 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.312.590 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.312.656 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.312.753 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.312.835 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.312.929 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.313.130 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ReluGrad select aclnn kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.313.247 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.313.347 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.313.394 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.313.475 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.313.543 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.313.630 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.313.839 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.313.960 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.314.016 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.314.124 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.314.206 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.314.306 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.314.643 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.314.770 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.314.825 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.314.909 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.315.203 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.315.336 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.315.535 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.315.662 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.315.729 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.315.820 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.315.894 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.315.986 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.316.170 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.316.275 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.316.338 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.316.433 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.316.794 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.316.929 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.316.995 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.317.084 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.317.338 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.317.453 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.317.611 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.317.730 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.317.785 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.317.941 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.318.029 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.318.127 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.318.313 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.318.465 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.318.538 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.318.633 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.318.708 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.318.800 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.318.978 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.319.130 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.319.183 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.319.269 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.319.365 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.319.462 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.319.680 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.319.806 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.319.871 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.319.961 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.320.043 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.320.135 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.320.376 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.320.496 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.320.547 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.320.630 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.320.949 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.321.094 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.321.271 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.321.426 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.321.492 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.321.577 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.321.665 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.321.764 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.321.934 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.322.038 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.322.090 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.322.172 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.322.520 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.322.647 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.322.693 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.322.770 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.323.024 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.323.132 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.323.279 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.323.378 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.323.427 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.323.509 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.323.579 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.323.704 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.323.864 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.323.978 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.324.059 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.324.147 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.324.211 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.324.298 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.324.354 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.324.431 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.324.528 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.324.718 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.324.866 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.324.920 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.324.998 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.325.058 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] MaxPoolGrad is not defined in opdef. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.325.686 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] MaxPoolGrad select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.325.789 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.325.883 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.325.934 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.326.048 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.326.113 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.326.194 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.326.349 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.326.467 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.326.525 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.326.605 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.327.006 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] AssignAdd select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.327.090 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.327.216 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.327.299 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.327.399 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.327.471 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] Conv2DBackpropInput is not defined in opdef. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.328.011 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Conv2DBackpropInput select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.328.114 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.328.215 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.328.306 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.328.391 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.328.453 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] Conv2DBackpropFilter is not defined in opdef. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.328.959 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Conv2DBackpropFilter select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.329.062 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.329.159 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.329.208 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.329.282 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.329.582 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.329.688 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.329.822 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.329.920 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.329.968 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.330.046 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.330.117 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.330.205 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.330.353 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.330.519 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.330.610 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.330.694 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.330.764 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] ApplyMomentum is not defined in opdef. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.331.410 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ApplyMomentum select aclop kernel [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.331.497 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.331.597 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.331.640 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.331.752 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.332.047 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.332.155 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.332.205 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.332.282 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.332.338 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.332.422 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.332.568 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.332.663 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.332.734 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.332.816 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.333.205 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.333.337 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.333.389 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.333.465 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.333.712 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.333.821 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.333.955 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.334.084 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.334.136 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.334.216 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.334.280 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.334.397 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.334.595 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.334.706 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.334.753 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.334.835 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.335.220 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.335.341 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.335.393 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.335.473 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.335.779 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.335.893 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.335.945 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.336.031 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.336.404 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.336.533 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.336.595 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.336.683 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.337.002 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.337.117 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.337.165 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.337.247 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.337.569 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.337.690 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.337.739 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.337.820 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.338.149 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.338.265 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.338.315 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.338.396 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.338.488 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.338.580 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.338.764 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.338.867 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.338.915 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.338.998 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.340.022 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:310] SelectKernel] [PROF]SelectKernel costs 52.098 msec. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.340.116 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:314] PrintOpSelectedNum] Number of INTERNAL_KERNEL, OPAPI_KERNEL, ACL_KERNEL, ATB_KERNEL, HCCL_KERNEL, HOST_KERNEL: [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.340.161 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:320] PrintOpSelectedNum] 0 26 28 0 8 0 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.340.331 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.340.458 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.341.030 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_0_set_fracz_group_attr in 414.144 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.343.249 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_1_insert_identity in 1993.58 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.347.859 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_2_insert_type_transform_op in 4332.92 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.347.997 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_3_shape_reshape is disabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.348.039 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_4_shape_reshape_direct is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.349.448 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_opt_acl_after_kernel_select_pm_4_shape_reshape_direct in 1258.36 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.349.981 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_5_graph_view_replace in 367.213 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.350.088 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_6_label_1f1b_overlap_node in 7.63 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.350.183 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_7_insert_move_to in 5.99 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.350.405 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:173] GEBackendOptimizeACLAfterKernelSelect] [PROF]GEBackendOptimizeACLAfterKernelSelect costs 10.141 msec. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.350.794 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.350.930 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.351.019 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:210] GEBackendOptimizeACLAfterKernelPacket] [PROF]GEBackendOptimizeACLAfterKernelPacket costs 0.006 msec. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.351.503 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_packet_0_graph_view_replace in 383.173 us [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.352.358 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.353.434 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:131] OptimizeACLGraphAfterKernelSelect] [PROF]OptimizeACLGraphAfterKernelSelect costs 13.125 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.354.165 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.355.249 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_after_inline_pm_0_DropoutGenMask is enabled. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.355.405 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_after_inline_pm_0_DropoutGenMask in 11.8 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.356.257 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_1_cse in 727.576 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.356.583 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_2_eliminate_maketuple_getitem in 189.581 us [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.357.361 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.358.365 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_3_insert_pre_fetch_depend in 1594.12 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.358.488 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_4_overlap_1b1f in 3.66 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.358.754 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:281] GEAfterInlineOptimize] [PROF]GEAfterInlineOptimize costs 3.594 msec. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.358.852 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:436] InlineCallGraph] [PROF]InlineCallGraph costs 5.308 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.359.555 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.360.782 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:911] InlineSwitchGraph] [PROF]InlineSwitchGraph costs 1.78 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.360.925 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:622] CompileGraphImpl] [PROF]OptimizeGraph costs 89.62 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.361.574 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.362.624 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive GetNext [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.363.529 [mindspore/ccsrc/plugin/res_manager/ascend/op_adapter/op_adapter.h:531] ConvertAny] Value: ValueTuple [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.363.854 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive GetNext [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.363.917 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:GetNext, kernel type:acl_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.364.024 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.364.338 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.364.405 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive OneHot [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.364.930 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive OneHot [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.365.007 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:OneHot, kernel type:acl_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.365.064 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2D [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.365.692 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2D [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.365.775 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2D, kernel type:acl_kernel [INFO] GE_ADPT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.366.686 [mindspore/ops/kernel/ascend/acl_ir/op_api_exec.cc:124] ParseCustomPriority] Could not open the file /usr/local/Ascend/ascend-toolkit/latest/opp/vendors/config.ini [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.411.033 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:1236] InitializeForGe] End initializing for ge. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.411.305 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:95] InitializeForAclop] End initializing for acl. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.411.412 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:254] SetAclOpPrecisionMode] Set aclop PRECISION_MODE: must_keep_origin_dtype [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.412.041 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:683] SetAclDeterministic] Set acl deterministic value: 0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.412.164 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:314] PrintOpSelectedNum] Number of INTERNAL_KERNEL, OPAPI_KERNEL, ACL_KERNEL, ATB_KERNEL, HCCL_KERNEL, HOST_KERNEL: [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.412.216 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:320] PrintOpSelectedNum] 0 0 1 0 0 0 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.412.697 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.412.933 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.413.382 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_0_set_fracz_group_attr in 224.472 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.413.876 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_1_insert_identity in 385.613 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.414.110 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_2_erase_visit_attr in 144.402 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.414.584 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_3_deal_ref_output in 367.613 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.414.726 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_4_insert_type_transform_op in 61.31 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.414.774 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_5_shape_reshape is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.414.810 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_6_shape_reshape_direct is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.415.121 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_opt_acl_after_kernel_select_pm_6_shape_reshape_direct in 250.902 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.415.287 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_7_graph_view_replace in 93.441 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.415.403 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_8_label_1f1b_overlap_node in 26.01 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.415.490 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_9_insert_move_to in 29.331 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.415.574 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:173] GEBackendOptimizeACLAfterKernelSelect] [PROF]GEBackendOptimizeACLAfterKernelSelect costs 3.117 msec. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.415.856 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.415.988 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.416.071 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:210] GEBackendOptimizeACLAfterKernelPacket] [PROF]GEBackendOptimizeACLAfterKernelPacket costs 0.008 msec. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.416.160 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_packet_0_graph_view_replace in 26.821 us [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:31.416.403 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.416.641 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:131] OptimizeACLGraphAfterKernelSelect] [PROF]OptimizeACLGraphAfterKernelSelect costs 4.31 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:31.416.726 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.416.902 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_after_inline_pm_0_DropoutGenMask is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.417.033 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_after_inline_pm_0_DropoutGenMask in 60 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.417.285 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_1_cse in 174.131 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.417.394 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_2_eliminate_maketuple_getitem in 39.4 us [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:31.417.479 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.417.602 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_3_insert_pre_fetch_depend in 146.061 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.417.702 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_4_overlap_1b1f in 39.68 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:31.417.778 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:281] GEAfterInlineOptimize] [PROF]GEAfterInlineOptimize costs 0.904 msec. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.417.881 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:436] InlineCallGraph] [PROF]InlineCallGraph costs 1.169 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:31.417.956 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.418.102 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:911] InlineSwitchGraph] [PROF]InlineSwitchGraph costs 0.157 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.418.237 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:622] CompileGraphImpl] [PROF]OptimizeGraph costs 10665.8 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:31.418.338 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:31.418.574 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive InitDataSetQueue [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:31.419.633 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive InitDataSetQueue [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.419.730 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:InitDataSetQueue, kernel type:acl_kernel [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:31.419.904 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.420.134 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1194] OptimizeExecutionOrder] [PROF]OptimizeExecutionOrder costs 0.258 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.420.221 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:631] CompileGraphImpl] [PROF]CreateKernel costs 1.916 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:31.420.843 [mindspore/ccsrc/backend/common/session/session_basic.cc:1079] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 0 start [INFO] DEBUG(1384462,ffff943eeec0,python):2025-07-15-11:45:31.420.945 [mindspore/ccsrc/debug/summary/summary.cc:55] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 0 start [INFO] DEBUG(1384462,ffff943eeec0,python):2025-07-15-11:45:31.421.001 [mindspore/ccsrc/debug/summary/summary.cc:60] RecurseSetSummaryNodesForAllGraphs] This function should be skipped on GE backend. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.421.120 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1216] ResetNodeIds] Start reset node id [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.421.228 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1236] ResetNodeIds] End reset node id [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.421.290 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.421.403 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.421.461 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1138] DoStreamAssign] Status record: start stream assign, kernel_graph0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.421.576 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/InitDataSetQueue-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.421.722 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1154] DoStreamAssign] Status record: end stream assign, kernel_graph0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:31.421.816 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:948] PrintGraphExecuteOrder] Graph 0 execution order: [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:31.421.971 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[0], node name[Default/InitDataSetQueue-op0], logic id[4294967295], stream id[0], node info[@kernel_graph0:CNode_4{[0]: ValueNode InitDataSetQueue}] [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.422.116 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:676] CompileGraphImpl] [PROF]PreprocessBeforeRun costs 1.014 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.422.173 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:722] CreateDeviceAddress] Status record: start create device address. graph id: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.422.394 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:729] CreateDeviceAddress] Status record: end create device address. graph id: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.422.482 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:684] CompileGraphImpl] [PROF]CreateDeviceAddress costs 0.291 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:31.422.832 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1194] CacheGraphOutputToFrontNodeWithIndex] Get graph backend output nodes. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:31.422.929 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1202] CacheGraphOutputToFrontNodeWithIndex] Get graph front output nodes. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.423.014 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:487] CompileGraph] Status record: end compile graph. graph id: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.423.436 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:884] CompileGraphFromSegment] Compile cut segment, the cut node: @_anonymous__1:CNode_2{[0]: ValueNode Return, [1]: CNode_3} [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.423.611 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1795] Build] [PROF]CompileSubGraph costs 10694.1 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.423.712 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:249] ExportCompileCacheKBK] Compile cache: disable by front compile cache config. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.423.854 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1809] Build] Status record: construct the graph compiler info. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.424.027 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:957] Transform] Graph(kernel_graph_0) transforms actor begin, strategy:pipeline [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.424.298 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:490] InitGraphParameterStore] Init graph parameter store: kernel_graph_0, outer size: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.424.479 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:471] TryEnableKbkSubGraphExecMode] Enable kbk subgraph execute mode for actor set: kernel_graph_0, phase: [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.424.560 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:391] TryEnableInputOptimize] Enable input optimize for actor set: kernel_graph_0, phase: [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.424.678 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2317] BuildDataPrepareActorForGraphParameterStore] Create data prepare actor: kernel_graph_0_DataPrepareActor [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.424.940 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.425.101 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.425.181 [mindspore/ccsrc/runtime/graph_scheduler/actor/super_kernel_actor.cc:2024] SuperKernelActor] The kernel graph: kernel_graph0 phase: , enable parallel dispatch kernel: 0 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.425.368 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.425.479 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.425.560 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2273] BuildLoopCountActor] Create loop count actor: kernel_graph_0_LoopCountActor [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.425.618 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2306] BuildOutputActor] Create output actor: kernel_graph_0_OutputActor [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.425.917 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1807] Link] [PROF]GraphSchedulerLinkSinkMode costs 0.073 msec. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.427.462 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.427.640 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.428.013 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.428.139 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.428.324 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:984] Transform] [PROF]GraphSchedulerLink costs 2.562 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.428.514 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 1_actor_set_kernel_graph_0_invalid_data_arrow_elimination in 46.38 us [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.428.642 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 2_actor_set_kernel_graph_0_multi_actor_fusion in 29.3 us [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.428.697 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 3_actor_set_kernel_graph_0_batch_data_arrow_fusion in 1.82 us [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.428.752 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1001] Transform] Graph(kernel_graph_0) transforms actor end. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.428.885 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.428.999 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.429.111 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:358] Init] kernel_graph_0 has the parameter input num: 0 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.429.167 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.429.254 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.429.307 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.429.401 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.429.547 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1827] Build] [PROF]GraphScheduler costs 5.596 msec. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.429.637 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:202] Refresh] Stream manager initialize, stream_size : 2. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.429.697 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:63] Resize] Task id on stream manager initialize : 0, stream_size : 2. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.429.772 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1839] Build] [PROF]compile_backend_graph costs 10703.9 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.429.849 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1842] Build] Status record: end compile function graph: _anonymous__1, produce actor: kernel_graph_0, backend_graph_id: 0 [INFO] VM(1384462,ffff943eeec0,python):2025-07-15-11:45:31.429.902 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:122] Build] Backend build graph, backend name: , backend type: 0, backend graph id: 0 [INFO] VM(1384462,ffff943eeec0,python):2025-07-15-11:45:31.430.031 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:131] Run] Backend run graph: 0, backend type: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.430.219 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1993] Run] Status record: start run actor: kernel_graph_0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.430.323 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:195] PreLaunchCommKernel] Pre launch comm kernel. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.430.372 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:215] PreLaunchCommKernel] No hccl kernel to pre launch [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.430.442 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2009] Run] [PROF]PreLaunchCommKernel costs 0.103 msec. [INFO] UTILS(1384462,ffff943eeec0,python):2025-07-15-11:45:31.430.496 [mindspore/ccsrc/utils/signal_util.cc:51] RegisterGlobalSignalHandler] MSCONTEXT_REGISTER_INIT_FUNC register int handler [INFO] UTILS(1384462,ffff943eeec0,python):2025-07-15-11:45:31.430.543 [mindspore/ccsrc/utils/signal_util.cc:57] RegisterGlobalSignalHandler] The signal has been registered [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.430.668 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1259] RefreshGraphParameterStore] Input args size: 0 [INFO] DEVICE(1384462,fffddafdefa0,python):2025-07-15-11:45:31.431.167 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:700] SetDeterministic] Set kernel deterministic value: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.431.786 [mindspore/ccsrc/runtime/graph_scheduler/actor/actor_common.cc:396] operator()] Init defrag memory step freq. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.431.862 [mindspore/ccsrc/runtime/graph_scheduler/actor/actor_common.cc:398] operator()] Config defrag memory step freq : . [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.431.902 [mindspore/ccsrc/runtime/graph_scheduler/actor/actor_common.cc:407] operator()] Defrag memory step freq : 100. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.431.950 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:760] PrepareDataForDeviceTensorStore] Prepare store data, input tensor size: 0, arg size: 0 [INFO] DEVICE(1384462,fffe7cfbdfa0,python):2025-07-15-11:45:31.432.799 [mindspore/ccsrc/plugin/res_manager/ascend/ascend_res_manager.cc:700] SetDeterministic] Set kernel deterministic value: 0 [INFO] GE_ADPT(1384462,fffddafdefa0,python):2025-07-15-11:45:31.435.307 [mindspore/ops/kernel/ascend/acl_ir/acl_allocator.cc:118] RegisterAllocator] Register AclAllocator [INFO] RUNTIME_FRAMEWORK(1384455,fffe967edfa0,python):2025-07-15-11:45:31.605.402 [mindspore/ccsrc/runtime/graph_scheduler/actor/loop_count_actor.cc:62] IncreaseLoopCount] Loop count actor(kernel_graph_0_LoopCountActor) running, loop count: 1, current count: 1, total running count: 1 [INFO] RUNTIME_FRAMEWORK(1384455,fffe967edfa0,python):2025-07-15-11:45:31.605.558 [mindspore/ccsrc/runtime/graph_scheduler/actor/loop_count_actor.cc:90] RealRun] Sync stream in the step end. [INFO] RUNTIME_FRAMEWORK(1384455,fffe967edfa0,python):2025-07-15-11:45:31.605.920 [mindspore/ccsrc/runtime/graph_scheduler/actor/loop_count_actor.cc:107] RealRun] Sync stream success. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.606.146 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1499] SetActorExecutionStrategy] kernel_graph_0 execution count: 1, execution time: 485.282 ms in multi thread or not: 1. [INFO] UTILS(1384455,ffffae59eec0,python):2025-07-15-11:45:31.606.217 [mindspore/ccsrc/utils/utils.cc:412] SkipOrResetCopyAction] Step end, reset copy action flag [INFO] UTILS(1384455,ffffae59eec0,python):2025-07-15-11:45:31.606.247 [mindspore/ccsrc/utils/utils.cc:426] SkipOrResetSyncAction] Step end, reset sync action flag [INFO] DEBUG(1384455,ffffae59eec0,python):2025-07-15-11:45:31.606.299 [mindspore/ccsrc/debug/summary/summary.cc:84] SummaryTensor] This function should be skipped on GE backend. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.606.569 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.606.728 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:31.606.789 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2033] Run] Status record: end run actor: 0 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.606.886 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:824] InitExecDatasetVm] [PROF]InitExecDatasetVm costs 10946.4 msec. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.613.907 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:376] Compile] Input plan: +-Transfer,send_epoch_end:false,total_batch:2340) | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.614.032 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:389] Compile] Environment MS_INDEPENDENT_DATASET is false, dataset will be ran in main process. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.614.329 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:409] Compile] Plan before optimization: +-Top | +-Transfer,send_epoch_end:false,total_batch:2340) | | +-Repeat(count:1) | | | +-Batch(batch_size:32 drop_remainder:true) | | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | | +-MnistDataset [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.614.389 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:99] PrePass] Running pre pass loops. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.614.502 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.614.596 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.614.817 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.614.906 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.614.979 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.615.060 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.615.113 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/cache_transform_pass.cc:176] RunOnTree] Pre pass: Cache transform pass started. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.615.218 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/cache_transform_pass.cc:193] RunOnTree] Pre pass: Cache transform pass complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.615.269 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:129] PrePass] Pre pass offload complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.615.317 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:152] PostPass] Running post pass loops. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.615.446 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:169] PostPass] Post passes complete. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.615.593 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:423] Compile] Plan after optimization: +-Top | +-Transfer,send_epoch_end:false,total_batch:2340) | | +-EpochCtrl(epoch:5) | | | +-Batch(batch_size:32 drop_remainder:true) | | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | | +-MnistDataset [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.618.691 [mindspore/ccsrc/plugin/device/ascend/hal/device/ascend_data_queue.cc:244] AscendTdtQueue] Select MBUF channel, the capacity of data queue is: 128 [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.619.006 [mindspore/ccsrc/minddata/dataset/engine/datasetops/epoch_ctrl_op.cc:23] EpochCtrlOp] Welcome to Epoch Ctrl Op. [INFO] MD(1384455,ffffae59eec0,python):2025-07-15-11:45:31.622.706 [mindspore/ccsrc/minddata/dataset/engine/execution_tree.cc:192] Launch] Printing the tree before launch tasks: Execution tree summary: ----------------------- +- ( 0) : [workers: 1] +- ( 1) : [workers: 0 (inlined)] [epochs: 5] +- ( 2) : [workers: 8] [batch size: 32] +- ( 3) : [workers: 1] [shuffle size: 10000] +- ( 4) : [workers: 1] +- ( 5) : [workers: 1] +- ( 6) : [workers: 1] +- ( 7) : [workers: 1] +- ( 8) : [workers: 1] +- ( 9) : [workers: 8] Execution tree operator details: -------------------------------- ( 0) : Number of children : 1 Child[0] id: 1 Number of parents : 0 Connector queue size : 1 Total repeats : 5 Number repeats per epoch : 1 Num workers: 1 Channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe ( 1) : Number of children : 1 Child[0] id: 2 Number of parents : 1 Parent[0] id: 0 Connector queue size : 0 Total repeats : 5 Number repeats per epoch : 1 Num workers: 0 (inlined) Current count: 0 Max count: 5 Leaf Nodes in execution path: None. ( 2) : Number of children : 1 Child[0] id: 3 Number of parents : 1 Parent[0] id: 1 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 8] Start batch size: 32 Drop remainder: yes ( 3) : Number of children : 1 Child[0] id: 4 Number of parents : 1 Parent[0] id: 2 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 Num workers: 1 Shuffle size: 10000 Shuffle buffer state: 0 Shuffle seed: 2397367474 ( 4) : Number of children : 1 Child[0] id: 5 Number of parents : 1 Parent[0] id: 3 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: HWC2CHWOp ( 5) : Number of children : 1 Child[0] id: 6 Number of parents : 1 Parent[0] id: 4 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: RescaleOp: shift: -0.424213, Rescale: 3.2457 ( 6) : Number of children : 1 Child[0] id: 7 Number of parents : 1 Parent[0] id: 5 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: RescaleOp: shift: 0, Rescale: 0.00392157 ( 7) : Number of children : 1 Child[0] id: 8 Number of parents : 1 Parent[0] id: 6 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: ResizeOp: 32 32 ( 8) : Number of children : 1 Child[0] id: 9 Number of parents : 1 Parent[0] id: 7 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: label TensorOps with worker_id 0: TypeCastOp ( 9) : Number of children : 0 Number of parents : 1 Parent[0] id: 8 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 Sampler: Sampler: DistributedSampler num_rows_: 0 num_samples_: 0 seed: 5490 device_id: 0 num_devices: 4 shuffle: 1 [workers: 8] Number of rows:-1 Mnist Directory: /home/workspace/mindspore_dataset/mnist/train [INFO] MD(1384455,fffdf4fcefa0,python):2025-07-15-11:45:31.623.451 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp(ID:9)]: Core binding is not enabled. [INFO] MD(1384455,fffdd6fdefa0,python):2025-07-15-11:45:31.624.771 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffdd67cefa0,python):2025-07-15-11:45:31.625.211 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffdd5fbefa0,python):2025-07-15-11:45:31.625.790 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffde7ffefa0,python):2025-07-15-11:45:31.626.468 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffde77eefa0,python):2025-07-15-11:45:31.626.952 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffde6fdefa0,python):2025-07-15-11:45:31.627.330 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffde67cefa0,python):2025-07-15-11:45:31.627.675 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffde5fbefa0,python):2025-07-15-11:45:31.628.066 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffde57aefa0,python):2025-07-15-11:45:31.628.469 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::Collector]: Core binding is not enabled. [INFO] MD(1384455,fffdf4fcefa0,python):2025-07-15-11:45:31.628.895 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384455,fffdf4fcefa0,python):2025-07-15-11:45:31.629.051 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [INFO] MD(1384455,fffde4f9efa0,python):2025-07-15-11:45:31.631.003 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:8)]: Core binding is not enabled. [INFO] MD(1384455,fffdd7ffefa0,python):2025-07-15-11:45:31.631.987 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffdd77eefa0,python):2025-07-15-11:45:31.632.519 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] MD(1384455,fffdd57aefa0,python):2025-07-15-11:45:31.633.707 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:7)]: Core binding is not enabled. [INFO] MD(1384455,fffdd4f9efa0,python):2025-07-15-11:45:31.634.785 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffdad321fa0,python):2025-07-15-11:45:31.635.338 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] MD(1384455,fffdacb11fa0,python):2025-07-15-11:45:31.636.648 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:6)]: Core binding is not enabled. [INFO] MD(1384455,fffd9bffefa0,python):2025-07-15-11:45:31.637.617 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffd9b7eefa0,python):2025-07-15-11:45:31.638.234 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] MD(1384455,fffd9afdefa0,python):2025-07-15-11:45:31.639.070 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:5)]: Core binding is not enabled. [INFO] MD(1384455,fffd9a7cefa0,python):2025-07-15-11:45:31.639.899 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffd99fbefa0,python):2025-07-15-11:45:31.640.445 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] MD(1384455,fffd997aefa0,python):2025-07-15-11:45:31.641.175 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:4)]: Core binding is not enabled. [INFO] MD(1384455,fffd98f9efa0,python):2025-07-15-11:45:31.641.963 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffd77ffefa0,python):2025-07-15-11:45:31.642.711 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] MD(1384455,fffd777eefa0,python):2025-07-15-11:45:31.643.561 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::ShuffleOp(ID:3)]: Core binding is not enabled. [INFO] MD(1384455,fffd76fdefa0,python):2025-07-15-11:45:31.644.317 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp(ID:2)]: Core binding is not enabled. [INFO] MD(1384455,fffd767cefa0,python):2025-07-15-11:45:31.645.936 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffd75fbefa0,python):2025-07-15-11:45:31.646.897 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffd757aefa0,python):2025-07-15-11:45:31.647.553 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffd74f9efa0,python):2025-07-15-11:45:31.648.136 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffd57ffefa0,python):2025-07-15-11:45:31.648.861 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffd577eefa0,python):2025-07-15-11:45:31.649.500 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffd56fdefa0,python):2025-07-15-11:45:31.650.049 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffd567cefa0,python):2025-07-15-11:45:31.650.553 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384455,fffd55fbefa0,python):2025-07-15-11:45:31.654.224 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::Collector]: Core binding is not enabled. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:31.655.255 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::DataQueueOp(ID:0)]: Core binding is not enabled. [INFO] MD(1384455,fffd54f9efa0,python):2025-07-15-11:45:31.655.866 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::Detect first batch]: Core binding is not enabled. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:31.656.051 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:455] SendDataToAscend] Device queue, sending data to Ascend. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:31.657.292 [mindspore/train/model.py:773] Begin to connect network with dataset. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.667.836 [mindspore/ccsrc/pipeline/jit/ps/executor/executor_py.cc:261] GenerateArgumentsKey] Generate a new compile key for new args, key: 0 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.667.958 [mindspore/ccsrc/pipeline/jit/ps/executor/executor_py.cc:269] GenerateArgumentsKey] New cached args: [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.823.394 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.823.688 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPool [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.824.584 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPool [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.824.668 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPool, kernel type:acl_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.824.765 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2D [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.825.354 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2D [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.825.458 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2D, kernel type:acl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.826.202 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.826.346 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPool [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.826.980 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPool [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.827.060 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPool, kernel type:acl_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.827.143 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[flatten] [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.827.461 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Flatten, kernel type:rt_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.863.761 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.863.986 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAdd [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.864.911 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAdd [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.865.029 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAdd, kernel type:acl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.865.624 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.866.638 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.866.936 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAdd [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.867.435 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAdd [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.867.510 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAdd, kernel type:acl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.868.020 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.868.677 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.868.791 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAdd [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.869.398 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAdd [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.869.481 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAdd, kernel type:acl_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.869.584 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.869.793 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.869.892 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive SoftmaxCrossEntropyWithLogits [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.870.344 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive SoftmaxCrossEntropyWithLogits [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.870.451 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:SoftmaxCrossEntropyWithLogits, kernel type:acl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.878.990 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.879.234 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.879.551 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.879.677 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ReduceMean [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.880.366 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ReduceMean [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.880.473 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReduceMean, kernel type:acl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.886.085 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.891.774 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.892.076 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.892.627 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.892.949 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.893.128 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.893.264 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.893.419 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAddGrad [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.894.041 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAddGrad [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.894.166 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAddGrad, kernel type:acl_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.894.314 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.894.526 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.894.652 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.894.784 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.894.867 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.895.471 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.904.459 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.905.467 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.906.062 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.906.223 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.906.543 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.906.677 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.906.781 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.906.872 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.907.313 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.907.474 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAddGrad [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.907.849 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAddGrad [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.907.918 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAddGrad, kernel type:acl_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.908.043 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.908.220 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.908.345 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.908.483 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.908.569 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.909.112 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.909.807 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.910.376 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.910.816 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.910.988 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.911.229 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.911.357 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.911.449 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.911.531 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.911.930 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.912.093 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAddGrad [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.912.414 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAddGrad [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.912.476 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAddGrad, kernel type:acl_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.912.599 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.912.748 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.912.855 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.912.977 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.913.053 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.913.622 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.913.771 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.914.026 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.914.133 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPoolGrad [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.914.754 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPoolGrad [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.914.851 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPoolGrad, kernel type:acl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.915.341 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.915.508 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive AssignAdd [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.915.842 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive AssignAdd [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.915.910 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AssignAdd, kernel type:acl_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.916.020 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2DBackpropInput [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.916.851 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2DBackpropInput [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.916.944 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2DBackpropInput, kernel type:acl_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.917.035 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2DBackpropFilter [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.917.618 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2DBackpropFilter [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.917.697 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2DBackpropFilter, kernel type:acl_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.917.795 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.917.978 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.918.102 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.918.239 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.918.333 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.918.929 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.919.141 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.919.899 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.920.017 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.920.151 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPoolGrad [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.920.521 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPoolGrad [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.920.595 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPoolGrad, kernel type:acl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.921.119 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.921.275 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2DBackpropFilter [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.921.868 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2DBackpropFilter [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.921.958 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2DBackpropFilter, kernel type:acl_kernel [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.922.025 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.922.241 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.922.369 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.922.539 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.922.638 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] RUNTIME_FRAMEWORK(1384462,fffe7cfbdfa0,python):2025-07-15-11:45:31.922.885 [mindspore/ccsrc/runtime/graph_scheduler/actor/loop_count_actor.cc:62] IncreaseLoopCount] Loop count actor(kernel_graph_0_LoopCountActor) running, loop count: 1, current count: 1, total running count: 1 [INFO] RUNTIME_FRAMEWORK(1384462,fffe7cfbdfa0,python):2025-07-15-11:45:31.923.051 [mindspore/ccsrc/runtime/graph_scheduler/actor/loop_count_actor.cc:90] RealRun] Sync stream in the step end. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.923.275 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.923.436 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.923.885 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] RUNTIME_FRAMEWORK(1384462,fffe7cfbdfa0,python):2025-07-15-11:45:31.923.502 [mindspore/ccsrc/runtime/graph_scheduler/actor/loop_count_actor.cc:107] RealRun] Sync stream success. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.923.807 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1499] SetActorExecutionStrategy] kernel_graph_0 execution count: 1, execution time: 492.023 ms in multi thread or not: 1. [INFO] UTILS(1384462,ffff943eeec0,python):2025-07-15-11:45:31.923.920 [mindspore/ccsrc/utils/utils.cc:412] SkipOrResetCopyAction] Step end, reset copy action flag [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.923.959 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] UTILS(1384462,ffff943eeec0,python):2025-07-15-11:45:31.923.979 [mindspore/ccsrc/utils/utils.cc:426] SkipOrResetSyncAction] Step end, reset sync action flag [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.924.059 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] DEBUG(1384462,ffff943eeec0,python):2025-07-15-11:45:31.924.046 [mindspore/ccsrc/debug/summary/summary.cc:84] SummaryTensor] This function should be skipped on GE backend. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.924.380 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.924.378 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.924.439 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.924.511 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.924.532 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:31.924.580 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2033] Run] Status record: end run actor: 0 [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.924.816 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.924.887 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.924.741 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:824] InitExecDatasetVm] [PROF]InitExecDatasetVm costs 11261.5 msec. [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.924.991 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.925.320 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.925.390 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.925.452 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.925.757 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.925.818 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.925.885 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.926.276 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.926.347 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.926.833 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.927.000 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.927.432 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.927.506 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.931.242 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_ack_0_erase_visit_attr in 3520 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.936.501 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_ack_1_deal_ref_output in 4999.99 us [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.937.201 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:79] AclAfterCreateKernel] [PROF]AclAfterCreateKernel costs 9.544 msec. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.937.356 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:151] OptimizeACLGraphAfterCreateKernel] [PROF]OptimizeACLGraphAfterCreateKernel costs 9.778 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.938.369 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.937.838 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:376] Compile] Input plan: +-Transfer,send_epoch_end:false,total_batch:2340) | +-Repeat(count:1) | | +-Batch(batch_size:32 drop_remainder:true) | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.938.003 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:389] Compile] Environment MS_INDEPENDENT_DATASET is false, dataset will be ran in main process. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.938.333 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:409] Compile] Plan before optimization: +-Top | +-Transfer,send_epoch_end:false,total_batch:2340) | | +-Repeat(count:1) | | | +-Batch(batch_size:32 drop_remainder:true) | | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | | +-MnistDataset [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.938.375 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:99] PrePass] Running pre pass loops. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.940.142 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1194] OptimizeExecutionOrder] [PROF]OptimizeExecutionOrder costs 2.604 msec. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.938.634 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:136] RunOnTree] Pre pass: node offload pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.938.737 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_offload_pass.cc:155] RunOnTree] Pre pass: offload node removal pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.938.940 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:59] RunOnTree] Pre pass: node removal pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.938.998 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.cc:73] RunOnTree] Pre pass: node removal pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.939.044 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:76] RunOnTree] Pre pass: Injection pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.939.109 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.cc:91] RunOnTree] Pre pass: Injection pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.939.137 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/cache_transform_pass.cc:176] RunOnTree] Pre pass: Cache transform pass started. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.939.186 [mindspore/ccsrc/minddata/dataset/engine/opt/pre/cache_transform_pass.cc:193] RunOnTree] Pre pass: Cache transform pass complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.939.215 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:129] PrePass] Pre pass offload complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.939.250 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:152] PostPass] Running post pass loops. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.939.378 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:169] PostPass] Post passes complete. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.939.497 [mindspore/ccsrc/minddata/dataset/engine/tree_adapter.cc:423] Compile] Plan after optimization: +-Top | +-Transfer,send_epoch_end:false,total_batch:2340) | | +-EpochCtrl(epoch:5) | | | +-Batch(batch_size:32 drop_remainder:true) | | | | +-Shuffle(shuffle_size:10000,reset_every_epoch:true) | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | +-Map(,input:[image],output:[image],num_tensor_ops:1,...) | | | | | | | | | +-Map(,input:[label],output:[label],num_tensor_ops:1,...) | | | | | | | | | | +-MnistDataset [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.940.311 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:631] CompileGraphImpl] [PROF]CreateKernel costs 579.298 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.940.642 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0, output index: 0 to input global_step, output index: 0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.940.998 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:CNode_438{[0]: ValueNode PrimFunc_AssignAdd, [1]: param_global_step, [2]: ValueNode Tensor(shape=[1], dtype=Int32, value=[1]), [3]: CNode_439}, index is 0 new origin node:@kernel_graph1:param_global_step index:0 old origin node:@kernel_graph1:param_global_step index:0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.941.080 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0, output index: 0 to input fc3.bias, output index: 0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.941.468 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.bias, [2]: param_moments.fc3.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_440}, index is 0 new origin node:@kernel_graph1:param_fc3.bias index:0 old origin node:@kernel_graph1:param_fc3.bias index:0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.941.587 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1, output index: 0 to input fc3.weight, output index: 0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.941.976 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.weight, [2]: param_moments.fc3.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_441}, index is 0 new origin node:@kernel_graph1:param_fc3.weight index:0 old origin node:@kernel_graph1:param_fc3.weight index:0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.942.068 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2, output index: 0 to input fc2.bias, output index: 0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.942.447 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.bias, [2]: param_moments.fc2.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_442}, index is 0 new origin node:@kernel_graph1:param_fc2.bias index:0 old origin node:@kernel_graph1:param_fc2.bias index:0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.942.548 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3, output index: 0 to input fc2.weight, output index: 0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.942.944 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.weight, [2]: param_moments.fc2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_443}, index is 0 new origin node:@kernel_graph1:param_fc2.weight index:0 old origin node:@kernel_graph1:param_fc2.weight index:0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.943.021 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4, output index: 0 to input fc1.bias, output index: 0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.943.426 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.bias, [2]: param_moments.fc1.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_444}, index is 0 new origin node:@kernel_graph1:param_fc1.bias index:0 old origin node:@kernel_graph1:param_fc1.bias index:0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.943.514 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5, output index: 0 to input fc1.weight, output index: 0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.943.915 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.weight, [2]: param_moments.fc1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_445}, index is 0 new origin node:@kernel_graph1:param_fc1.weight index:0 old origin node:@kernel_graph1:param_fc1.weight index:0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.944.050 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6, output index: 0 to input conv2.weight, output index: 0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.944.451 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv2.weight, [2]: param_moments.conv2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_446}, index is 0 new origin node:@kernel_graph1:param_conv2.weight index:0 old origin node:@kernel_graph1:param_conv2.weight index:0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.944.540 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7, output index: 0 to input conv1.weight, output index: 0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.940.605 [mindspore/ccsrc/plugin/device/ascend/hal/device/ascend_data_queue.cc:244] AscendTdtQueue] Select MBUF channel, the capacity of data queue is: 128 [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.940.869 [mindspore/ccsrc/minddata/dataset/engine/datasetops/epoch_ctrl_op.cc:23] EpochCtrlOp] Welcome to Epoch Ctrl Op. [INFO] MD(1384462,ffff943eeec0,python):2025-07-15-11:45:31.944.435 [mindspore/ccsrc/minddata/dataset/engine/execution_tree.cc:192] Launch] Printing the tree before launch tasks: Execution tree summary: ----------------------- +- ( 0) : [workers: 1] +- ( 1) : [workers: 0 (inlined)] [epochs: 5] +- ( 2) : [workers: 8] [batch size: 32] +- ( 3) : [workers: 1] [shuffle size: 10000] +- ( 4) : [workers: 1] +- ( 5) : [workers: 1] +- ( 6) : [workers: 1] +- ( 7) : [workers: 1] +- ( 8) : [workers: 1] +- ( 9) : [workers: 8] Execution tree operator details: -------------------------------- ( 0) : Number of children : 1 Child[0] id: 1 Number of parents : 0 Connector queue size : 1 Total repeats : 5 Number repeats per epoch : 1 Num workers: 1 Channel name: 21666248-612e-11f0-9d70-b04fa6070ebe ( 1) : Number of children : 1 Child[0] id: 2 Number of parents : 1 Parent[0] id: 0 Connector queue size : 0 Total repeats : 5 Number repeats per epoch : 1 Num workers: 0 (inlined) Current count: 0 Max count: 5 Leaf Nodes in execution path: None. ( 2) : Number of children : 1 Child[0] id: 3 Number of parents : 1 Parent[0] id: 1 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 8] Start batch size: 32 Drop remainder: yes ( 3) : Number of children : 1 Child[0] id: 4 Number of parents : 1 Parent[0] id: 2 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 Num workers: 1 Shuffle size: 10000 Shuffle buffer state: 0 Shuffle seed: 2932609652 ( 4) : Number of children : 1 Child[0] id: 5 Number of parents : 1 Parent[0] id: 3 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: HWC2CHWOp ( 5) : Number of children : 1 Child[0] id: 6 Number of parents : 1 Parent[0] id: 4 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: RescaleOp: shift: -0.424213, Rescale: 3.2457 ( 6) : Number of children : 1 Child[0] id: 7 Number of parents : 1 Parent[0] id: 5 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: RescaleOp: shift: 0, Rescale: 0.00392157 ( 7) : Number of children : 1 Child[0] id: 8 Number of parents : 1 Parent[0] id: 6 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: image TensorOps with worker_id 0: ResizeOp: 32 32 ( 8) : Number of children : 1 Child[0] id: 9 Number of parents : 1 Parent[0] id: 7 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 [workers: 1] Input column names: label TensorOps with worker_id 0: TypeCastOp ( 9) : Number of children : 0 Number of parents : 1 Parent[0] id: 8 Connector queue size : 16 Total repeats : 5 Number repeats per epoch : 1 Sampler: Sampler: DistributedSampler num_rows_: 0 num_samples_: 0 seed: 5490 device_id: 1 num_devices: 4 shuffle: 1 [workers: 8] Number of rows:-1 Mnist Directory: /home/workspace/mindspore_dataset/mnist/train [INFO] MD(1384462,fffdda7cefa0,python):2025-07-15-11:45:31.945.120 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp(ID:9)]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.944.875 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv1.weight, [2]: param_moments.conv1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_447}, index is 0 new origin node:@kernel_graph1:param_conv1.weight index:0 old origin node:@kernel_graph1:param_conv1.weight index:0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.945.551 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Default/Reshape-op0, index: 0 to input Default/GetNext-op0, index: 1 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.945.732 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Flatten-op0, index: 0 to input Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op1, index: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.945.809 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0, index: 0 to input Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/BiasAdd-op0, index: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.945.880 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0, index: 0 to input Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Mul-op0, index: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.945.967 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0, index: 0 to input Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op2, index: 0 [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.946.067 [mindspore/ccsrc/backend/common/session/session_basic.cc:1079] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 1 start [INFO] DEBUG(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.946.114 [mindspore/ccsrc/debug/summary/summary.cc:55] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 1 start [INFO] DEBUG(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.946.147 [mindspore/ccsrc/debug/summary/summary.cc:60] RecurseSetSummaryNodesForAllGraphs] This function should be skipped on GE backend. [INFO] MD(1384462,fffdc0f9efa0,python):2025-07-15-11:45:31.946.633 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.946.888 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1216] ResetNodeIds] Start reset node id [INFO] MD(1384462,fffda3ffefa0,python):2025-07-15-11:45:31.947.288 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.947.711 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1236] ResetNodeIds] End reset node id [INFO] MD(1384462,fffda37eefa0,python):2025-07-15-11:45:31.947.768 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.947.878 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.948.005 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.948.129 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1138] DoStreamAssign] Status record: start stream assign, kernel_graph1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.948.218 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/GetNext-op0 [INFO] MD(1384462,fffdd9fbefa0,python):2025-07-15-11:45:31.948.284 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.948.324 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/Reshape-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.948.484 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/OneHot-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.948.576 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Conv2D-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.948.655 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Conv2D-op0, because group value is 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.948.724 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.948.799 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op0 [INFO] MD(1384462,fffdd97aefa0,python):2025-07-15-11:45:31.948.840 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.948.875 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Conv2D-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.948.972 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Conv2D-op0, because group value is 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.087 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.193 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.267 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Flatten-op0 [INFO] MD(1384462,fffdd8f9efa0,python):2025-07-15-11:45:31.949.294 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.366 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/MatMul-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.442 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/BiasAdd-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.511 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op2 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.581 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/MatMul-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.650 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/BiasAdd-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.711 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op3 [INFO] MD(1384462,fffdc3ffefa0,python):2025-07-15-11:45:31.949.747 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.772 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/MatMul-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.838 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/BiasAdd-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.949.907 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.950.006 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op0 [INFO] MD(1384462,fffdc37eefa0,python):2025-07-15-11:45:31.950.102 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::WorkerEntry]: Core binding is not enabled. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.950.130 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Mul-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.950.214 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.950.296 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.950.385 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.950.502 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op3 [INFO] MD(1384462,fffdc2fdefa0,python):2025-07-15-11:45:31.950.535 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MnistOp::Collector]: Core binding is not enabled. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.950.649 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op2 [INFO] MD(1384462,fffdda7cefa0,python):2025-07-15-11:45:31.950.847 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:257] WalkAllFiles] Mnist Operator found label file at train-labels-idx1-ubyte. [INFO] MD(1384462,fffdda7cefa0,python):2025-07-15-11:45:31.950.952 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/mnist_op.cc:254] WalkAllFiles] Mnist operator found image file at train-images-idx3-ubyte. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.952.615 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:105] RegCallback] Register callback thread, stream : 0x51a73d90. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.954.118 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:125] RegCallback] Register callback thread success, stream : 0x51a73d90. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.954.267 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op2, group: hccl_world_group [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.954.400 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.954.497 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.954.571 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op1, group: hccl_world_group [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.954.633 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op2 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.954.735 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.954.805 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.954.877 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op4 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.954.940 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op4 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.004 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op4, group: hccl_world_group [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.078 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.153 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.213 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op3 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.272 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op3, group: hccl_world_group [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.330 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op4 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.435 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.513 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op2 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.612 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op5 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.675 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op6 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.780 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op6, group: hccl_world_group [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.857 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op3 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.927 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op2 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.955.999 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op5 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.956.067 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op5, group: hccl_world_group [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.956.134 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op6 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.956.207 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.956.316 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.956.420 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op2 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.956.503 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.956.597 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropInput-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.956.683 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropInput-op0, because group value is 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.956.777 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.956.853 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0, because group value is 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.956.966 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op7 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.059 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op7, group: hccl_world_group [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.148 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op5 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.235 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.317 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.379 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op3 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.472 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.544 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0, because group value is 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.608 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.673 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op0, group: hccl_world_group [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.745 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op7 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.818 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.893 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.957.994 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.958.064 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.958.129 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.958.200 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.958.268 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op0 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.958.334 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.961.503 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1154] DoStreamAssign] Status record: end stream assign, kernel_graph1 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.961.683 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.961.807 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.961.910 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.032 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:8 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.091 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.177 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.241 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.286 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 8, record_stream_id_ : 0. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.373 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.485 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.571 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.612 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:9 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.657 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.739 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.794 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.838 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 9, record_stream_id_ : 0. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.884 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.962.970 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.030 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.074 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:0 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.121 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] MD(1384462,fffdc27cefa0,python):2025-07-15-11:45:31.963.031 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:8)]: Core binding is not enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.201 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.258 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.298 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:10 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.344 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.430 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.513 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.563 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 10, record_stream_id_ : 0. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.614 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.702 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.764 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.810 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:1 [INFO] MD(1384462,fffdc1fbefa0,python):2025-07-15-11:45:31.963.729 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.858 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.963.946 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.018 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.075 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 0, record_stream_id_ : 2. [INFO] MD(1384462,fffdc17aefa0,python):2025-07-15-11:45:31.964.110 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.144 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.245 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.313 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.362 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:11 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.414 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.498 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.602 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.658 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 11, record_stream_id_ : 0. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.708 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.794 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.858 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.906 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:2 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.964.959 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.044 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.110 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.162 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 1, record_stream_id_ : 2. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.215 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] MD(1384462,fffd8bffefa0,python):2025-07-15-11:45:31.964.837 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:7)]: Core binding is not enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.307 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.381 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] MD(1384462,fffd8b7eefa0,python):2025-07-15-11:45:31.965.376 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.437 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:12 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.493 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.582 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.682 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.742 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 12, record_stream_id_ : 0. [INFO] MD(1384462,fffd8afdefa0,python):2025-07-15-11:45:31.965.708 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.805 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.901 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.965.975 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.028 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:3 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.080 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.168 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.237 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.287 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 2, record_stream_id_ : 2. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.343 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] MD(1384462,fffd8a7cefa0,python):2025-07-15-11:45:31.966.337 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:6)]: Core binding is not enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.453 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.533 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.584 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:13 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.640 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.734 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.802 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.886 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 13, record_stream_id_ : 0. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.966.947 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] MD(1384462,fffd89fbefa0,python):2025-07-15-11:45:31.966.954 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.044 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.119 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.177 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:4 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.235 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.320 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] MD(1384462,fffd897aefa0,python):2025-07-15-11:45:31.967.348 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.383 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.439 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 3, record_stream_id_ : 2. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.496 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.577 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.641 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.688 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:14 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.729 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.815 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.880 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.946 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 14, record_stream_id_ : 0. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.967.998 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] MD(1384462,fffd88f9efa0,python):2025-07-15-11:45:31.968.008 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:5)]: Core binding is not enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.085 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.146 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.194 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:5 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.243 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.330 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.393 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.444 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 4, record_stream_id_ : 2. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.517 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.610 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] MD(1384462,fffd73ffefa0,python):2025-07-15-11:45:31.968.643 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.670 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.725 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:15 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.782 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.866 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.934 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] MD(1384462,fffd737eefa0,python):2025-07-15-11:45:31.968.973 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.968.995 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 15, record_stream_id_ : 0. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.083 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.184 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.256 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.307 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:6 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.360 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.451 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.517 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.573 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 5, record_stream_id_ : 2. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.633 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.717 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.779 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] MD(1384462,fffd72fdefa0,python):2025-07-15-11:45:31.969.573 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp(ID:4)]: Core binding is not enabled. [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.832 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:16 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.889 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.969.980 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.040 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.088 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 16, record_stream_id_ : 0. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.165 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.251 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.330 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.381 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:7 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.457 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.561 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.631 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.682 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 6, record_stream_id_ : 2. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.751 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] MD(1384462,fffd727cefa0,python):2025-07-15-11:45:31.970.713 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384462,fffd71fbefa0,python):2025-07-15-11:45:31.971.494 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::MapOp::Collector]: Core binding is not enabled. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.846 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.921 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.970.972 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 7, record_stream_id_ : 2. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.025 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.112 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.176 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.221 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:17 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.268 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.380 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.443 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.488 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 17, record_stream_id_ : 2. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.555 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:948] PrintGraphExecuteOrder] Graph 1 execution order: [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.685 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[0], node name[Default/StreamSend-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_448{[0]: ValueNode StreamSend}], event id[8] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.771 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[1], node name[Default/StreamRecv-op0], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_449{[0]: ValueNode StreamRecv}], event id[8] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.971.926 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[2], node name[Default/GetNext-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:outputs{[0]: ValueNode GetNext}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.972.160 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[3], node name[Default/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_450{[0]: ValueNode PrimFunc_Reshape, [1]: CNode_451, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[32])}] [INFO] MD(1384462,fffd717aefa0,python):2025-07-15-11:45:31.972.301 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::ShuffleOp(ID:3)]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.972.375 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[4], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/OneHot-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_452{[0]: ValueNode PrimFunc_OneHot, [1]: CNode_450, [2]: ValueNode Tensor(shape=[], dtype=Int64, value=10), [3]: ValueNode Tensor(shape=[], dtype=Float32, value=1), [4]: ValueNode Tensor(shape=[], dtype=Float32, value=0), [5]: ValueNode -1}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.972.739 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[5], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Conv2D-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_15_output{[0]: ValueNode Conv2D, [1]: CNode_453, [2]: equiv_16_CNode_454}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.972.903 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[6], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_20_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_15_output}] [INFO] MD(1384462,fffd70f9efa0,python):2025-07-15-11:45:31.972.930 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp(ID:2)]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.973.061 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[7], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_24_out{[0]: ValueNode MaxPool, [1]: equiv_20_CNode_455}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.973.379 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[8], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Conv2D-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_10_output{[0]: ValueNode Conv2D, [1]: equiv_24_out, [2]: equiv_11_CNode_456}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.973.539 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[9], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_17_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_10_output}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.973.717 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[10], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_23_out{[0]: ValueNode MaxPool, [1]: equiv_17_CNode_455}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.973.909 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[11], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Flatten-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_25_CNode_457{[0]: ValueNode PrimFunc_Flatten, [1]: equiv_23_out}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.974.256 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[12], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_12_x{[0]: ValueNode PrimFunc_MatMul, [1]: equiv_25_CNode_457, [2]: equiv_13_CNode_458, [3]: ValueNode false, [4]: ValueNode true}] [INFO] MD(1384462,fffd4fffefa0,python):2025-07-15-11:45:31.974.297 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.974.683 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[13], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/BiasAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_21_x{[0]: ValueNode PrimFunc_BiasAdd, [1]: equiv_12_x, [2]: equiv_22_CNode_459, [3]: ValueNode 0}] [INFO] MD(1384462,fffd4f7eefa0,python):2025-07-15-11:45:31.974.743 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.974.898 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[14], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_14_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_21_x}] [INFO] MD(1384462,fffd4efdefa0,python):2025-07-15-11:45:31.975.052 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.975.169 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[15], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_7_x{[0]: ValueNode PrimFunc_MatMul, [1]: equiv_14_CNode_455, [2]: equiv_8_CNode_460, [3]: ValueNode false, [4]: ValueNode true}] [INFO] MD(1384462,fffd4e7cefa0,python):2025-07-15-11:45:31.975.369 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.975.450 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[16], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/BiasAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_18_x{[0]: ValueNode PrimFunc_BiasAdd, [1]: equiv_7_x, [2]: equiv_19_CNode_461, [3]: ValueNode 0}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.975.683 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[17], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_9_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_18_x}] [INFO] MD(1384462,fffd4dfbefa0,python):2025-07-15-11:45:31.975.691 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] MD(1384462,fffd4d7aefa0,python):2025-07-15-11:45:31.975.975 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.975.991 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[18], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_3_x{[0]: ValueNode PrimFunc_MatMul, [1]: equiv_9_CNode_455, [2]: equiv_4_CNode_462, [3]: ValueNode false, [4]: ValueNode true}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.976.240 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[19], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/BiasAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_5_x{[0]: ValueNode PrimFunc_BiasAdd, [1]: equiv_3_x, [2]: equiv_6_CNode_435, [3]: ValueNode 0}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.976.417 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[20], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_463{[0]: ValueNode PrimFunc_Reshape, [1]: equiv_5_x, [2]: ValueNode Tensor(shape=[2], dtype=Int64, value=[32 10])}] [INFO] MD(1384462,fffd4cf9efa0,python):2025-07-15-11:45:31.976.472 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.976.554 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[21], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_464{[0]: ValueNode SoftmaxCrossEntropyWithLogits, [1]: CNode_463, [2]: CNode_452}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.976.698 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[22], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Mul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_465{[0]: ValueNode PrimFunc_Mul, [1]: CNode_466, [2]: ValueNode Tensor(shape=[32, 1], dtype=Float32, value=[...])}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.976.850 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[23], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_467{[0]: ValueNode PrimFunc_Reshape, [1]: CNode_465, [2]: ValueNode Tensor(shape=[2], dtype=Int64, value=[32 10])}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.977.003 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[24], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_468{[0]: ValueNode PrimFunc_ReduceMean, [1]: CNode_469, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[0]), [3]: ValueNode false}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.977.275 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[25], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_470{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_467, [2]: equiv_4_CNode_462, [3]: ValueNode false, [4]: ValueNode false}] [INFO] MD(1384462,fffd2fffefa0,python):2025-07-15-11:45:31.977.277 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::WorkerEntry]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.977.486 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[26], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_471{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_467, [2]: equiv_9_CNode_455, [3]: ValueNode true, [4]: ValueNode false}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.977.606 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[27], node name[Default/StreamSend-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_472{[0]: ValueNode StreamSend}], event id[9] [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.976.862 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:377] CompileInner] Start compiling, phase: train.1752551131662057984.281470728895120.0. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.976.944 [mindspore/ccsrc/pipeline/jit/ps/pass_config.cc:277] LoadPassesConfig] AUTO_PASSES_OPTIMIZE_PATH: [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.976.986 [mindspore/ccsrc/pipeline/jit/ps/event_message_print.cc:42] PrintEventMessage] Start compiling '_DataWrapper.construct' and it will take a while. Please wait... [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.977.688 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[28], node name[Default/StreamRecv-op1], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_473{[0]: ValueNode StreamRecv}], event id[9] [INFO] MD(1384462,fffd2f7eefa0,python):2025-07-15-11:45:31.977.789 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::BatchOp::Collector]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.977.844 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[29], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op2], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_471}], group[hccl_world_group] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.977.936 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[30], node name[Default/StreamSend-op2], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_474{[0]: ValueNode StreamSend}], event id[0] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.978.052 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[31], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_475{[0]: ValueNode PrimFunc_BiasAddGrad, [1]: CNode_467, [2]: ValueNode 0}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.978.128 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[32], node name[Default/StreamSend-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_476{[0]: ValueNode StreamSend}], event id[10] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.978.197 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[33], node name[Default/StreamRecv-op2], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_477{[0]: ValueNode StreamRecv}], event id[10] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.978.335 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[34], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op1], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_475}], group[hccl_world_group] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.978.469 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[35], node name[Default/StreamSend-op4], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_478{[0]: ValueNode StreamSend}], event id[1] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.978.550 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[36], node name[Default/StreamRecv-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_479{[0]: ValueNode StreamRecv}], event id[0] [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:31.978.612 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::DataQueueOp(ID:0)]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.978.705 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[37], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.978.929 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[38], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_480{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_470, [2]: equiv_9_CNode_455}] [INFO] MD(1384462,fffd2e7cefa0,python):2025-07-15-11:45:31.979.121 [mindspore/ccsrc/minddata/utils.h:37] BindThreadCoreForMindDataOp] [dataset::Detect first batch]: Core binding is not enabled. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.979.175 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[39], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_481{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_480, [2]: equiv_8_CNode_460, [3]: ValueNode false, [4]: ValueNode false}] [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:31.979.256 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:455] SendDataToAscend] Device queue, sending data to Ascend. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:31.980.548 [mindspore/train/model.py:773] Begin to connect network with dataset. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.981.555 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:608] Run] Pipeline run [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.981.680 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start bootstrap action. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.979.371 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[40], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op4], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_482{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_480, [2]: equiv_14_CNode_455, [3]: ValueNode true, [4]: ValueNode false}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.979.475 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[41], node name[Default/StreamSend-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_483{[0]: ValueNode StreamSend}], event id[11] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.979.552 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[42], node name[Default/StreamRecv-op4], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_484{[0]: ValueNode StreamRecv}], event id[11] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.979.698 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[43], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op4], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_482}], group[hccl_world_group] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.979.787 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[44], node name[Default/StreamSend-op6], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_485{[0]: ValueNode StreamSend}], event id[2] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.979.859 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[45], node name[Default/StreamRecv-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_486{[0]: ValueNode StreamRecv}], event id[1] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.980.033 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[46], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.980.222 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[47], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_487{[0]: ValueNode PrimFunc_BiasAddGrad, [1]: CNode_480, [2]: ValueNode 0}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.980.317 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[48], node name[Default/StreamSend-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_488{[0]: ValueNode StreamSend}], event id[12] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.980.401 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[49], node name[Default/StreamRecv-op6], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_489{[0]: ValueNode StreamRecv}], event id[12] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.980.522 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[50], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op3], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_487}], group[hccl_world_group] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.980.612 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[51], node name[Default/StreamSend-op8], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_490{[0]: ValueNode StreamSend}], event id[3] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.980.692 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[52], node name[Default/StreamRecv-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_491{[0]: ValueNode StreamRecv}], event id[2] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.980.850 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[53], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op4], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.981.073 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[54], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_492{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_481, [2]: equiv_14_CNode_455}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.981.314 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[55], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_493{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_492, [2]: equiv_13_CNode_458, [3]: ValueNode false, [4]: ValueNode false}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.981.556 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[56], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_494{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_492, [2]: equiv_25_CNode_457, [3]: ValueNode true, [4]: ValueNode false}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.981.677 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[57], node name[Default/StreamSend-op9], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_495{[0]: ValueNode StreamSend}], event id[13] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.981.764 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[58], node name[Default/StreamRecv-op8], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_496{[0]: ValueNode StreamRecv}], event id[13] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.981.882 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[59], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op6], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_494}], group[hccl_world_group] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.981.968 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[60], node name[Default/StreamSend-op10], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_497{[0]: ValueNode StreamSend}], event id[4] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.982.059 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[61], node name[Default/StreamRecv-op9], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_498{[0]: ValueNode StreamRecv}], event id[3] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.982.214 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[62], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.982.466 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[63], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_499{[0]: ValueNode PrimFunc_BiasAddGrad, [1]: CNode_492, [2]: ValueNode 0}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.982.590 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[64], node name[Default/StreamSend-op11], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_500{[0]: ValueNode StreamSend}], event id[14] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.982.674 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[65], node name[Default/StreamRecv-op10], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_501{[0]: ValueNode StreamRecv}], event id[14] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.982.849 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[66], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op5], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_499}], group[hccl_world_group] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.982.983 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[67], node name[Default/StreamSend-op12], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_502{[0]: ValueNode StreamSend}], event id[5] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.983.064 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[68], node name[Default/StreamRecv-op11], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_503{[0]: ValueNode StreamRecv}], event id[4] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.983.212 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[69], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op6], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.983.188 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end bootstrap action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.983.282 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 8 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:31.983.363 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start type_inference action. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.983.418 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[70], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_504{[0]: ValueNode PrimFunc_Reshape, [1]: CNode_493, [2]: ValueNode (32, 16, 5, 5)}] [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:31.983.658 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:433] Eval] Add root_func_graph_backup [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.983.676 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[71], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_505{[0]: ValueNode MaxPoolGrad, [1]: equiv_17_CNode_455, [2]: equiv_23_out, [3]: CNode_504}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.983.935 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[72], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_506{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_505, [2]: equiv_17_CNode_455}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.984.107 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[73], node name[Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_438{[0]: ValueNode PrimFunc_AssignAdd, [1]: param_global_step, [2]: ValueNode Tensor(shape=[1], dtype=Int32, value=[1]), [3]: CNode_439}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.984.378 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[74], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropInput-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_507{[0]: ValueNode Conv2DBackpropInput, [1]: CNode_506, [2]: equiv_11_CNode_456, [3]: ValueNode (32, 6, 14, 14)}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.984.605 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[75], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_508{[0]: ValueNode Conv2DBackpropFilter, [1]: CNode_506, [2]: equiv_24_out, [3]: ValueNode (16, 6, 5, 5)}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.984.756 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[76], node name[Default/StreamSend-op13], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_509{[0]: ValueNode StreamSend}], event id[15] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.984.845 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[77], node name[Default/StreamRecv-op12], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_510{[0]: ValueNode StreamRecv}], event id[15] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.984.962 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[78], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op7], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_508}], group[hccl_world_group] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.985.049 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[79], node name[Default/StreamSend-op14], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_511{[0]: ValueNode StreamSend}], event id[6] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.985.133 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[80], node name[Default/StreamRecv-op13], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_512{[0]: ValueNode StreamRecv}], event id[5] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.985.291 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[81], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.985.476 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[82], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.bias, [2]: param_moments.fc3.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_440}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.985.757 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[83], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_513{[0]: ValueNode MaxPoolGrad, [1]: equiv_20_CNode_455, [2]: equiv_24_out, [3]: CNode_507}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.985.998 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[84], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_514{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_513, [2]: equiv_20_CNode_455}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.986.216 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[85], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_515{[0]: ValueNode Conv2DBackpropFilter, [1]: CNode_514, [2]: CNode_453, [3]: ValueNode (6, 1, 5, 5)}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.986.348 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[86], node name[Default/StreamSend-op15], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_516{[0]: ValueNode StreamSend}], event id[16] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.986.454 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[87], node name[Default/StreamRecv-op14], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_517{[0]: ValueNode StreamRecv}], event id[16] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.986.648 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[88], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op0], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_515}], group[hccl_world_group] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.986.748 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[89], node name[Default/StreamSend-op16], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_518{[0]: ValueNode StreamSend}], event id[7] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.986.839 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[90], node name[Default/StreamRecv-op15], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_519{[0]: ValueNode StreamRecv}], event id[6] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.986.998 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[91], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.987.197 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[92], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.weight, [2]: param_moments.fc3.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_441}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.987.393 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[93], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.bias, [2]: param_moments.fc2.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_442}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.987.591 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[94], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.weight, [2]: param_moments.fc2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_443}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.987.803 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[95], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.bias, [2]: param_moments.fc1.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_444}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.988.037 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[96], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.weight, [2]: param_moments.fc1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_445}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.988.244 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[97], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv2.weight, [2]: param_moments.conv2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_446}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.988.353 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[98], node name[Default/StreamRecv-op16], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_520{[0]: ValueNode StreamRecv}], event id[7] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.988.509 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[99], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.988.699 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[100], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv1.weight, [2]: param_moments.conv1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_447}] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.988.794 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[101], node name[Default/StreamSend-op17], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_521{[0]: ValueNode StreamSend}], event id[17] [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.988.874 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[102], node name[Default/StreamRecv-op17], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_522{[0]: ValueNode StreamRecv}], event id[17] [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.989.017 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:676] CompileGraphImpl] [PROF]PreprocessBeforeRun costs 42.77 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.989.433 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:722] CreateDeviceAddress] Status record: start create device address. graph id: 1 [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.991.519 [mindspore/ccsrc/runtime/device/device_address_utils.cc:498] CreateValueNodeDeviceAddress] No device address for value node:Default/data-0, debug name:ValueNode U [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.991.685 [mindspore/ccsrc/pipeline/jit/ps/executor/executor_py.cc:261] GenerateArgumentsKey] Generate a new compile key for new args, key: 0 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:31.991.812 [mindspore/ccsrc/pipeline/jit/ps/executor/executor_py.cc:269] GenerateArgumentsKey] New cached args: [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:31.998.518 [mindspore/_extends/parse/namespace.py:132] '_DataWrapper' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.999.172 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:729] CreateDeviceAddress] Status record: end create device address. graph id: 1 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:31.999.346 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:684] CompileGraphImpl] [PROF]CreateDeviceAddress costs 9.9 msec. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.000.312 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1194] CacheGraphOutputToFrontNodeWithIndex] Get graph backend output nodes. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.000.468 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1202] CacheGraphOutputToFrontNodeWithIndex] Get graph front output nodes. [INFO] SESSION(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.000.939 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1220] CacheGraphOutputToFrontNodeWithIndex] Backend output: Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0 debug string: @kernel_graph1:CNode_468{[0]: ValueNode PrimFunc_ReduceMean, [1]: CNode_469, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[0]), [3]: ValueNode false} node ptr:0x50151130 with index: 0 map to front node: Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits-op0 debug string: @393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:equiv_2_x{[0]: ValueNode SparseSoftmaxCrossEntropyWithLogits, [1]: equiv_5_x, [2]: ValueNode_523} node ptr: 0x4fe89b40 with index: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.001.270 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:487] CompileGraph] Status record: end compile graph. graph id: 1 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.005.150 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:884] CompileGraphFromSegment] Compile cut segment, the cut node: @393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:ValueNode_524{[0]: ValueNode Return, [1]: CNode_436} [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.005.363 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1795] Build] [PROF]CompileSubGraph costs 843.475 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.005.422 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:249] ExportCompileCacheKBK] Compile cache: disable by front compile cache config. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.005.869 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1809] Build] Status record: construct the graph compiler info. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.005.960 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:957] Transform] Graph(kernel_graph_1) transforms actor begin, strategy:pipeline [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.006.855 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:490] InitGraphParameterStore] Init graph parameter store: kernel_graph_1, outer size: 19 [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.007.196 [mindspore/ccsrc/kernel/kernel_info.cc:126] OutputAddrExist] Index [0] has no kernel tensor. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.007.283 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:3778] PersistDeviceTensorForValueNode] The device address is not exist: ValueNode_525(U) [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.008.074 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:471] TryEnableKbkSubGraphExecMode] Enable kbk subgraph execute mode for actor set: kernel_graph_1, phase: train.1752551128346065152.281471629763664.0. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.008.476 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:391] TryEnableInputOptimize] Enable input optimize for actor set: kernel_graph_1, phase: train.1752551128346065152.281471629763664.0. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.008.610 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2317] BuildDataPrepareActorForGraphParameterStore] Create data prepare actor: kernel_graph_1_DataPrepareActor [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.008.708 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.008.822 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.008.878 [mindspore/ccsrc/runtime/graph_scheduler/actor/super_kernel_actor.cc:2024] SuperKernelActor] The kernel graph: kernel_graph1 phase: train.1752551128346065152.281471629763664.0., enable parallel dispatch kernel: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.008.975 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2273] BuildLoopCountActor] Create loop count actor: kernel_graph_1_LoopCountActor [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.009.026 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2306] BuildOutputActor] Create output actor: kernel_graph_1_OutputActor [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.009.329 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1688] CacheGraphOutputToActor] Cache graph 1 output node:Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0 debug string:@kernel_graph1:CNode_468{[0]: ValueNode PrimFunc_ReduceMean, [1]: CNode_469, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[0]), [3]: ValueNode false} with index:0 to actor:kernel_graph1_SuperKernelActor, from front node:Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits-op0 debug string:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:equiv_2_x{[0]: ValueNode SparseSoftmaxCrossEntropyWithLogits, [1]: equiv_5_x, [2]: ValueNode_523} with index:0 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.009.569 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_6 has no return node. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.010.083 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.010.245 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.102.68 [mindspore/_extends/parse/namespace.py:132] '_DataWrapper' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.010.897 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0 add input node monad device tensor store:global_step [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.010.995 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0 add input node monad device tensor store:Default/network-TrainOneStepCell/optimizer-Momentum/data-0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.082 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:fc3.bias [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.153 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:moments.fc3.bias [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.191 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.237 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.320 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:fc3.weight [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.360 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:moments.fc3.weight [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.397 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.499 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.553 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:fc2.bias [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.600 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:moments.fc2.bias [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.645 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.733 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.790 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:fc2.weight [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.840 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:moments.fc2.weight [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.876 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.920 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.011.964 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:fc1.bias [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.002 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:moments.fc1.bias [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.036 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.079 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.126 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:fc1.weight [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.167 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:moments.fc1.weight [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.211 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.259 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.305 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:conv2.weight [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.358 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:moments.conv2.weight [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.395 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.439 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.494 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:conv1.weight [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.535 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:moments.conv1.weight [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.579 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.679 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.012.775 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1807] Link] [PROF]GraphSchedulerLinkSinkMode costs 2.771 msec. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.126.76 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.022.756 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] _no_sens_impl_8 update var `grads` with node @_no_sens_impl_8:grads{[0]: CNode_9, [1]: grads} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.023.322 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_no_sens_impl_8] Added global python symbol: {ops : } [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.023.829 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.024.023 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.025.360 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.025.544 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.026.304 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:984] Transform] [PROF]GraphSchedulerLink costs 16.827 msec. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.026.417 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f440950, node: 0x2f40fe90/@_no_sens_impl_11:param_inputs, user size: 1, first user: @_no_sens_impl_11:loss{[0]: ValueNode DoUnpackCall, [1]: CNode_12, [2]: param_inputs} [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.026.844 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 1_actor_set_kernel_graph_1_invalid_data_arrow_elimination in 7.24 us [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.026.953 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 2_actor_set_kernel_graph_1_multi_actor_fusion in 26.05 us [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.000 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 3_actor_set_kernel_graph_1_batch_data_arrow_fusion in 1.77 us [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.041 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1001] Transform] Graph(kernel_graph_1) transforms actor end. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.109 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.215 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.283 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:358] Init] kernel_graph_1 has the parameter input num: 0 [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.327 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.413 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.457 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.536 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.651 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1827] Build] [PROF]GraphScheduler costs 21.685 msec. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.718 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:202] Refresh] Stream manager initialize, stream_size : 3. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.764 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:63] Resize] Task id on stream manager initialize : 1, stream_size : 3. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.818 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1839] Build] [PROF]compile_backend_graph costs 868.035 msec. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.903 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1842] Build] Status record: end compile function graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434, produce actor: kernel_graph_1, backend_graph_id: 1 [INFO] VM(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.027.987 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:122] Build] Backend build graph, backend name: , backend type: 0, backend graph id: 1 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.028.058 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end task_emit action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.028.326 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.028.416 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:329] SetLoopCount] Change vm_loop_flag to 0, set loop_size to 468 [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.028.481 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start execute action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.028.538 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end execute action. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.028.583 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.283.37 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.028.641 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:717] Run] End [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.029.174 [mindspore/ccsrc/pipeline/jit/ps/pass_config.cc:244] SavePassesConfig] Running_passes: ['opt_a.r1.a_1.cast_eliminate', 'opt_a.r1.a_1.inline', 'opt_a.r1.a_1.partial_eliminate', 'opt_a.r1.a_1.tuple_list_get_item_depend_reorder', 'opt_a.r1.a_1.tuple_list_get_item_eliminator', 'opt_a.r1.a_2.depend_value_elim', 'opt_a.r1.a_3.replace_applicator', 'opt_a.r1.accelerated_algorithm.less_batch_normalization', 'opt_a.r1.j0.a_1', 'opt_a.r1.j0.a_2', 'opt_a.r1.j0.a_3', 'opt_a.r1.j0.accelerated_algorithm', 'opt_a.r1.j0.auto_parallel', 'opt_a.r1.j0.cse', 'opt_a.r1.j0.flash_sp', 'opt_a.r1.j0.flash_sp_send_recv_attached', 'opt_a.r1.j0.meta_fg_expand', 'opt_a.r1.j0.parallel', 'opt_a.r1.j0.renormalize', 'opt_a.r1.j0.switch_simplify', 'opt_a.r1.j0.updatestate_depend_eliminate', 'opt_a.r1.j0.updatestate_loads_eliminate', 'opt_a.r1.switch_simplify.switch_simplify', 'opt_a.r2.a_1.arithmetic_simplify', 'opt_a.r2.a_1.environ_get_set_eliminate', 'opt_a.r2.a_1.inline', 'opt_a.r2.a_1.tuple_list_get_item_eliminator', 'opt_a.r2.a_1.updatestate_useless_node_eliminater', 'opt_a.r2.j0.a_1', 'opt_a.r2.j0.auto_parallel', 'opt_a.r2.j0.cse', 'opt_a.r2.j0.flash_sp', 'opt_a.r2.j0.parallel', 'opt_a.r2.j0.renormalize', 'opt_a.r2.j0.updatestate_depend_eliminate', 'opt_a.r2.j0.updatestate_loads_eliminate', 'opt_a.r3.j0.auto_parallel', 'opt_a.r3.j0.parallel', 'opt_resolve.r1.j0.resolve', 'opt_resolve.r1.resolve.getattr_setattr_resolve'] [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.029.369 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:221] SaveCompiledGraph] Save compiled func graph(393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434) phase(train.1752551128346065152.281471629763664.0.)! [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.029.476 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:239] SaveCompiledGraph] End save compiled func graph! [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.029.551 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:425] CompileInner] [PROF]ParallelPostProcess costs 0.004 msec. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.029.591 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:269] CleanCompileRes] Clean compile resource start [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.336.07 [mindspore/_extends/parse/namespace.py:132] 'WithLossCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.042.345 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14] Added global python symbol: {_check_is_tensor : Prim[_check_is_tensor]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.042.586 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:logits [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.043.431 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_15{[0]: CNode_16, [1]: ValueNode logits, [2]: param_logits, [3]: CNode_17}, block: 0x2f439e30/mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/loss/loss.py:865, 8~57/ _check_is_tensor('logits', logits, self.cls_name)/ [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.043.683 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:labels [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.044.414 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_18{[0]: CNode_16, [1]: ValueNode labels, [2]: param_labels, [3]: CNode_19}, block: 0x2f439e30/mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/loss/loss.py:866, 8~57/ _check_is_tensor('labels', labels, self.cls_name)/ [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.045.558 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_20{[0]: ValueNode Depend, [1]: CNode_21, [2]: CNode_22}, state: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_23{[0]: ValueNode MakeTuple, [1]: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_15{[0]: CNode_16, [1]: ValueNode logits, [2]: param_logits, [3]: CNode_17}, [2]: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_18{[0]: CNode_16, [1]: ValueNode labels, [2]: param_labels, [3]: CNode_19}} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.046.017 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_24 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.046.168 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓✓mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_25 has no return node. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.468.91 [mindspore/_extends/parse/namespace.py:132] 'WithLossCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.054.709 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_27, [1]: param_x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.055.240 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_28, [1]: x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.055.680 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_29, [1]: x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.056.083 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_30, [1]: x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.056.468 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_31, [1]: x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.056.860 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_32, [1]: x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.057.268 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_33, [1]: x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.057.673 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_34, [1]: x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.058.071 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_35, [1]: x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.058.507 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_36, [1]: x} [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.058.806 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:290] CleanCompileRes] Clean compile resource end [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.058.991 [mindspore/ccsrc/pipeline/jit/ps/event_message_print.cc:42] PrintEventMessage] End compiling '_DataWrapper.construct'. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.058.956 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_37, [1]: x} [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.059.089 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:434] CompileInner] [PROF]CleanCompileRes costs 29.452 msec. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.059.128 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:435] CompileInner] Finish compiling. [INFO] PIPELINE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.059.172 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:436] CompileInner] [PROF]compile_graph costs 2753.56 msec. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.059.401 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_38, [1]: x} [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.605.69 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [WARNING] ME(1384446:281473340993216,MainProcess):2025-07-15-11:45:32.665.74 [mindspore/parallel/_utils.py:516] You are suggested to use mindspore.context.set_auto_parallel_context(parameter_broadcast=True) or mindspore.common.set_seed() to share parameters among multi-devices. [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.068.886 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.069.101 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] VM(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.069.246 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:131] Run] Backend run graph: 1, backend type: 0 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.069.344 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1993] Run] Status record: start run actor: kernel_graph_1 [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.069.401 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:195] PreLaunchCommKernel] Pre launch comm kernel. [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.069.557 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:215] PreLaunchCommKernel] No hccl kernel to pre launch [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.069.645 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2009] Run] [PROF]PreLaunchCommKernel costs 0.209 msec. [INFO] UTILS(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.069.693 [mindspore/ccsrc/utils/signal_util.cc:51] RegisterGlobalSignalHandler] MSCONTEXT_REGISTER_INIT_FUNC register int handler [INFO] UTILS(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.069.734 [mindspore/ccsrc/utils/signal_util.cc:57] RegisterGlobalSignalHandler] The signal has been registered [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.069.809 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1259] RefreshGraphParameterStore] Input args size: 19 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.070.404 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_39] Added global python symbol: {len : } [INFO] RUNTIME_FRAMEWORK(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.070.671 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:760] PrepareDataForDeviceTensorStore] Prepare store data, input tensor size: 0, arg size: 19 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.070.813 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.070.916 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:743] GenerateAllocator] Generate allocator, is persistent : 1, stream id : 0. [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.071.070 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:755] operator()] Malloc mem block, is enable eager free : 0, is enable vmm : 1, size : 512, block size : 1073741824. [INFO] DEVICE(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.071.145 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.cc:205] AllocDeviceMem] VMM AllocDeviceMem size:61027123200, align_size:61027123200 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.071.459 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.071.745 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.072.781 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `self.weight` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_41{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.073.096 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `x` with node @↓mindspore_nn_layer_basic_Dense_construct_40:x{[0]: CNode_42, [1]: param_фx, [2]: CNode_41} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.073.893 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `self.bias` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_43{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.074.632 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_40] Added global python symbol: {len : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.074.808 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `len` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.075.010 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `x_shape` with node @mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.075.233 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.075.669 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.076.114 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_40] Added global python symbol: {ops : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.076.293 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_39] Added global python symbol: {ops : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.076.425 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `ops` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_46{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.076.932 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.080.954 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4467c0/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.081.148 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f447880/@mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.081.313 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4467c0/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] PRE_ACT(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.081.252 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:775] operator()] Malloc mem block : {"addr_":0x12c1c0000000,"size_":61027123200,"stream_id_":0,"min_addr_":0,"max_addr_":0}. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.081.425 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f447880/@mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.081.662 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4d2060/@mindspore_nn_layer_basic_Dense_construct_39:CNode_43{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.081.843 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4cb310/@mindspore_nn_layer_basic_Dense_construct_39:CNode_41{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.081.995 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4467c0/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.082.198 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4d3fc0/@✓↓mindspore_nn_layer_basic_Dense_construct_50:x{[0]: CNode_51, [1]: x, [2]: CNode_43}, user size: 1, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_52:x{[0]: CNode_53, [1]: x, [2]: out_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.082.450 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4e72a0/@mindspore_nn_layer_basic_Dense_construct_39:CNode_46{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.082.643 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4d3fc0/@✓↓mindspore_nn_layer_basic_Dense_construct_50:x{[0]: CNode_51, [1]: x, [2]: CNode_43}, user size: 2, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_52:x{[0]: CNode_53, [1]: x, [2]: out_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.082.765 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4f2de0/@4↓mindspore_nn_layer_basic_Dense_construct_54:CNode_55{[0]: ValueNode Return, [1]: param_фx}, user size: 1, first user: ValueNode 4↓mindspore_nn_layer_basic_Dense_construct_54 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.082.881 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f417a00/@mindspore_nn_layer_basic_Dense_construct_39:param_x, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.083.029 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4467c0/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 4, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] KERNEL(1384446,ffff9e80eec0,python):2025-07-15-11:45:32.083.091 [mindspore/ccsrc/kernel/kernel_info.cc:126] OutputAddrExist] Index [0] has no kernel tensor. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.083.229 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4e72a0/@mindspore_nn_layer_basic_Dense_construct_39:CNode_46{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.083.357 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4467c0/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 5, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.083.477 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f447880/@mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.083.655 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4d2060/@mindspore_nn_layer_basic_Dense_construct_39:CNode_43{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.083.871 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4cb310/@mindspore_nn_layer_basic_Dense_construct_39:CNode_41{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.083.973 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f417a00/@mindspore_nn_layer_basic_Dense_construct_39:param_x, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.084.094 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f4ad3a0, node: 0x2f4ce2d0/@↓mindspore_nn_layer_basic_Dense_construct_40:CNode_56{[0]: ValueNode Return, [1]: CNode_57}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40 [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.857.42 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PRE_ACT(1384446,fffde97defa0,python):2025-07-15-11:45:32.086.358 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:743] GenerateAllocator] Generate allocator, is persistent : 0, stream id : 0. [INFO] PRE_ACT(1384446,fffde97defa0,python):2025-07-15-11:45:32.086.667 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:755] operator()] Malloc mem block, is enable eager free : 0, is enable vmm : 1, size : 131584, block size : 1073741824. [INFO] DEVICE(1384446,fffde97defa0,python):2025-07-15-11:45:32.086.761 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.cc:205] AllocDeviceMem] VMM AllocDeviceMem size:61027123200, align_size:61027123200 [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.899.72 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.092.908 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_58] Added global python symbol: {len : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.093.248 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.093.912 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.094.190 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.095.190 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `self.weight` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_60{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.095.482 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `x` with node @↓mindspore_nn_layer_basic_Dense_construct_59:x{[0]: CNode_61, [1]: param_фx, [2]: CNode_60} [INFO] PRE_ACT(1384446,fffde97defa0,python):2025-07-15-11:45:32.096.108 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:775] operator()] Malloc mem block : {"addr_":0x12d000000000,"size_":61027123200,"stream_id_":0,"min_addr_":0,"max_addr_":0}. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.096.255 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `self.bias` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_62{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.097.027 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_59] Added global python symbol: {len : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.097.226 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `len` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.097.486 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `x_shape` with node @mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.097.755 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.098.227 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.098.801 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_59] Added global python symbol: {ops : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.099.020 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_58] Added global python symbol: {ops : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.099.162 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `ops` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_65{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.099.665 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.103.835 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f45c120/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.104.035 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f4b56d0/@mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.104.205 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f45c120/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.104.338 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f4b56d0/@mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.104.564 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f5366a0/@mindspore_nn_layer_basic_Dense_construct_58:CNode_62{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.104.747 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f52fba0/@mindspore_nn_layer_basic_Dense_construct_58:CNode_60{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.104.895 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f45c120/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.105.103 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f5385b0/@✓↓mindspore_nn_layer_basic_Dense_construct_69:x{[0]: CNode_70, [1]: x, [2]: CNode_62}, user size: 1, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_71:x{[0]: CNode_72, [1]: x, [2]: out_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.105.294 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f54b050/@mindspore_nn_layer_basic_Dense_construct_58:CNode_65{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.105.475 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f5385b0/@✓↓mindspore_nn_layer_basic_Dense_construct_69:x{[0]: CNode_70, [1]: x, [2]: CNode_62}, user size: 2, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_71:x{[0]: CNode_72, [1]: x, [2]: out_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.105.608 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f556640/@4↓mindspore_nn_layer_basic_Dense_construct_73:CNode_74{[0]: ValueNode Return, [1]: param_фx}, user size: 1, first user: ValueNode 4↓mindspore_nn_layer_basic_Dense_construct_73 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.105.723 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f4f3d80/@mindspore_nn_layer_basic_Dense_construct_58:param_x, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.105.900 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f45c120/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 4, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.106.118 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f54b050/@mindspore_nn_layer_basic_Dense_construct_58:CNode_65{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.106.245 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f45c120/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 5, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.106.367 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f4b56d0/@mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.106.575 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f5366a0/@mindspore_nn_layer_basic_Dense_construct_58:CNode_62{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.106.765 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f52fba0/@mindspore_nn_layer_basic_Dense_construct_58:CNode_60{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.106.884 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f4f3d80/@mindspore_nn_layer_basic_Dense_construct_58:param_x, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.106.996 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f491e20, node: 0x2f532c60/@↓mindspore_nn_layer_basic_Dense_construct_59:CNode_75{[0]: ValueNode Return, [1]: CNode_76}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59 [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.108.226 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.108.994 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.111.802 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_77] Added global python symbol: {len : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.112.186 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.112.871 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.113.159 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.114.178 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `self.weight` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_79{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.114.520 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `x` with node @↓mindspore_nn_layer_basic_Dense_construct_78:x{[0]: CNode_80, [1]: param_фx, [2]: CNode_79} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.115.355 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `self.bias` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_81{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.116.151 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_78] Added global python symbol: {len : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.116.343 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `len` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.116.589 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `x_shape` with node @mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.116.853 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.117.307 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.117.821 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_78] Added global python symbol: {ops : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.118.049 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_77] Added global python symbol: {ops : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.118.193 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `ops` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_84{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.118.711 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.122.833 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f56f8b0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.123.023 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f570920/@mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.123.184 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f56f8b0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.123.296 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f570920/@mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.123.505 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f588fd0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_81{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.123.693 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f582550/@mindspore_nn_layer_basic_Dense_construct_77:CNode_79{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.123.878 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f56f8b0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.124.099 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f58ae20/@✓↓mindspore_nn_layer_basic_Dense_construct_88:x{[0]: CNode_89, [1]: x, [2]: CNode_81}, user size: 1, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_90:x{[0]: CNode_91, [1]: x, [2]: out_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.124.295 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f59d6b0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_84{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.124.471 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f58ae20/@✓↓mindspore_nn_layer_basic_Dense_construct_88:x{[0]: CNode_89, [1]: x, [2]: CNode_81}, user size: 2, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_90:x{[0]: CNode_91, [1]: x, [2]: out_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.124.605 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f5a8d40/@4↓mindspore_nn_layer_basic_Dense_construct_92:CNode_93{[0]: ValueNode Return, [1]: param_фx}, user size: 1, first user: ValueNode 4↓mindspore_nn_layer_basic_Dense_construct_92 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.124.724 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f4f3b20/@mindspore_nn_layer_basic_Dense_construct_77:param_x, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.124.879 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f56f8b0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 4, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.125.093 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f59d6b0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_84{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.125.223 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f56f8b0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 5, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.125.343 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f570920/@mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.125.551 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f588fd0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_81{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.125.742 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f582550/@mindspore_nn_layer_basic_Dense_construct_77:CNode_79{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.125.851 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f4f3b20/@mindspore_nn_layer_basic_Dense_construct_77:param_x, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.125.968 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f555670, node: 0x2f585530/@↓mindspore_nn_layer_basic_Dense_construct_78:CNode_94{[0]: ValueNode Return, [1]: CNode_95}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78 [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.127.216 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.132.939 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Flatten_construct_96] Added global python symbol: {ops : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.133.573 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.133.877 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.134.935 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_97{[0]: CNode_98, [1]: CNode_99, [2]: ndim}, block: 0x2f4d54b0/mindspore_nn_layer_basic_Flatten_construct_96, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:580, 8~51/ self.check_axis_valid(self.start_dim, ndim)/ [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.135.776 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_100{[0]: CNode_98, [1]: CNode_101, [2]: ndim}, block: 0x2f4d54b0/mindspore_nn_layer_basic_Flatten_construct_96, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:581, 8~49/ self.check_axis_valid(self.end_dim, ndim)/ [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.136.899 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_102{[0]: ValueNode Depend, [1]: CNode_103, [2]: CNode_104}, state: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_105{[0]: ValueNode MakeTuple, [1]: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_97{[0]: CNode_98, [1]: CNode_99, [2]: ndim}, [2]: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_100{[0]: CNode_98, [1]: CNode_101, [2]: ndim}} [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.138.298 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.149.528 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1363] ParseConstant] The Constant is bool:False [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.150.045 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:3 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.150.457 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.150.697 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1363] ParseConstant] The Constant is bool:True [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.151.874 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_pooling_MaxPool2d_construct_106] Added global python symbol: {isinstance : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.152.074 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_pooling_MaxPool2d_construct_107] Added global python symbol: {isinstance : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.152.215 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106 update var `isinstance` with node @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_108{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode isinstance} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.152.501 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_pooling_MaxPool2d_construct_106] Added global python symbol: {tuple : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.152.640 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_pooling_MaxPool2d_construct_107] Added global python symbol: {tuple : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.152.752 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106 update var `tuple` with node @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_109{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode tuple} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.153.226 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.153.410 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.153.709 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.153.867 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.154.274 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.157.728 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f608710/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_109{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode tuple}, user size: 1, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.157.948 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f606460/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_108{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode isinstance}, user size: 1, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.158.171 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f600510/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 1, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.158.322 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f600510/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 2, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.158.486 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f619b50/@↓✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_116:CNode_117{[0]: ValueNode Return, [1]: CNode_118}, user size: 1, first user: ValueNode ↓✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_116 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.158.633 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f600510/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 3, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.158.772 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f600510/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 4, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.158.882 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f61d650/@3↓mindspore_nn_layer_pooling_MaxPool2d_construct_119:CNode_120{[0]: ValueNode Return, [1]: CNode_121}, user size: 1, first user: ValueNode 3↓mindspore_nn_layer_pooling_MaxPool2d_construct_119 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.159.024 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f557380/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:param_x, user size: 1, first user: @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_122{[0]: ValueNode getattr, [1]: param_x, [2]: ValueNode ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.159.189 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f608710/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_109{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode tuple}, user size: 2, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.159.343 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f606460/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_108{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode isinstance}, user size: 2, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.159.452 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f557380/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:param_x, user size: 2, first user: @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_122{[0]: ValueNode getattr, [1]: param_x, [2]: ValueNode ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.159.566 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f5dc810, node: 0x2f519ea0/@↓mindspore_nn_layer_pooling_MaxPool2d_construct_106:CNode_123{[0]: ValueNode Return, [1]: CNode_124}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106 [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.160.682 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.161.409 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.167.697 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.168.538 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.169.205 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.172.539 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.173.718 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.175.200 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.180.968 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_equal_scalar_126] Added global python symbol: {F : } [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.189.584 [mindspore/_extends/parse/namespace.py:132] 'MaxPool2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.191.343 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.192.297 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.193.300 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.196.917 [mindspore/_extends/parse/namespace.py:132] 'MaxPool2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.198.634 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.202.698 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:'start_dim' or 'end_dim' out of range. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.203.188 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.203.382 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.203.522 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.203.611 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.203.668 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.222.760 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:223] CheckFuncReturn] Function must has 'return' statement, but missing in bound method 'check_axis_valid' at /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:573 of . FuncGraph: ↓check_axis_valid_128, location: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:573~575, 4~70 def check_axis_valid(self, axis, ndim): We will add a 'return None' statement automatically. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.223.570 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.228.459 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [rank_129] Added global python symbol: {_get_cache_prim : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.228.765 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [rank_129] Added global python symbol: {Rank : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.241.221 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {str : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.241.951 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↻_get_cache_prim_for_pynative_131] Added global python symbol: {str : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.242.520 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↻_get_cache_prim_for_pynative_131 update var `str` with node @↵_get_cache_prim_for_pynative_132:param_фstr [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.242.871 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {tuple : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.243.181 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] _get_cache_prim_for_pynative_133 update var `key` with node @_get_cache_prim_for_pynative_133:key{[0]: CNode_134, [1]: key, [2]: CNode_135} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.244.106 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:: [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.244.382 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↵_get_cache_prim_for_pynative_136] Added global python symbol: {str : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.245.167 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↵_get_cache_prim_for_pynative_136] Added global python symbol: {_PRIM_CACHE : {}} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.245.332 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {_PRIM_CACHE : {}} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.245.684 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↵_get_cache_prim_for_pynative_136] Added global python symbol: {Primitive : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.245.822 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {Primitive : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.246.762 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @✓↓_get_cache_prim_for_pynative_137:CNode_138{[0]: ValueNode DoUnpackCall, [1]: CNode_139, [2]: param_фargs, [3]: param_фkwargs}, block: 0x2f70ed60/✓↓_get_cache_prim_for_pynative_137, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_primitive_cache.py:84, 12~42/ prim.__init__(*args, **kwargs)/ [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.247.540 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 2↓_get_cache_prim_for_pynative_140 update var `key` with node @↓_get_cache_prim_for_pynative_141:key{[0]: param_фstr, [1]: param_фkey} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.247.876 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @↻_get_cache_prim_for_pynative_142:CNode_143{[0]: ValueNode Depend, [1]: CNode_144, [2]: CNode_145}, state: @↻_get_cache_prim_for_pynative_142:CNode_146{[0]: ValueNode MetaFuncGraph-add.147, [1]: @↵_get_cache_prim_for_pynative_136:param_@CNode_146, [2]: ValueNode 1} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.248.163 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @✓↓_get_cache_prim_for_pynative_137:CNode_148{[0]: ValueNode Depend, [1]: CNode_149, [2]: CNode_150}, state: @✓↓_get_cache_prim_for_pynative_137:CNode_138{[0]: ValueNode DoUnpackCall, [1]: @✓↓_get_cache_prim_for_pynative_137:CNode_139{[0]: ValueNode getattr, [1]: prim, [2]: ValueNode __init__}, [2]: @↵_get_cache_prim_for_pynative_136:param_фargs, [3]: @↵_get_cache_prim_for_pynative_136:param_фkwargs} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.254.833 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓_get_cache_prim_151 has no return node. [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.256.725 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/prim.cc:2633] EvalPrim] For MakeTuple, the inputs should not be empty. node: @_new_prim_for_graph_152:CNode_153{[0]: ValueNode MakeTuple} [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.256.890 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/prim.cc:2633] EvalPrim] For MakeTuple, the inputs should not be empty. node: @_new_prim_for_graph_152:CNode_154{[0]: ValueNode MakeTuple} [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.256.985 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/prim.cc:2633] EvalPrim] For MakeTuple, the inputs should not be empty. node: @_new_prim_for_graph_152:CNode_155{[0]: ValueNode MakeTuple} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.261.606 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_not_equal_scalar_157] Added global python symbol: {F : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.266.969 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_logical_not_scala_159] Added global python symbol: {F : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.274.081 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_neg_scalar_161] Added global python symbol: {F : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.279.359 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_less_scala_163] Added global python symbol: {F : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.285.623 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_greater_equal_scala_165] Added global python symbol: {F : } [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.288.613 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.317.785 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:'start_dim' or 'end_dim' out of range. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.318.635 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:For 'flatten', 'start_dim' cannot come after 'end_dim'. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.319.101 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.319.336 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.320.065 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim}, block: 0x2f7cc890/canonicalize_axis_167, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1690, 8~36/ check_axis_valid(axis, ndim)/ [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.320.292 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.320.819 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @canonicalize_axis_167:CNode_170{[0]: ValueNode Depend, [1]: CNode_171, [2]: CNode_172}, state: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: @canonicalize_axis_167:param_axis, [2]: @canonicalize_axis_167:ndim{[0]: CNode_173}} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.321.282 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {isinstance : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.321.527 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {Tensor : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.321.893 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:For 'flatten', argument 'input' must be Tensor. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.322.469 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {int : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.323.089 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {bool : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.323.750 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:For 'flatten', both 'start_dim' and 'end_dim' must be int. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.324.247 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {check_flatten_order_const : Prim[check_flatten_order]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.324.935 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @2↓flatten_175:CNode_176{[0]: CNode_177, [1]: param_order}, block: 0x2f7fe4d0/2↓flatten_175, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1700, 4~36/ check_flatten_order_const(order)/ [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.325.245 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:F [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.325.614 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {rank_ : Prim[Rank]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.326.122 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.326.221 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.326.583 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {reshape_ : Prim[Reshape]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.326.847 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.327.283 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {ops : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.327.560 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.328.210 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {transpose_ : Prim[Transpose]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.328.783 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {shape_ : Prim[Shape]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.328.977 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {shape_ : Prim[Shape]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.329.146 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `shape_` with node @flatten_174:CNode_179{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode shape_} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.329.664 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {rank_ : Prim[Rank]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.329.817 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `rank_` with node @flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.330.237 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `start_dim` with node @flatten_174:param_start_dim [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.330.481 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.330.725 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `end_dim` with node @flatten_174:param_end_dim [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.330.888 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.331.272 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.331.359 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.331.710 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {reshape_ : Prim[Reshape]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.331.893 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `reshape_` with node @flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.332.171 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.332.600 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {flatten_ : Prim[Flatten]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.332.763 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {flatten_ : Prim[Flatten]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.332.901 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `flatten_` with node @flatten_174:CNode_182{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode flatten_} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.333.355 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `canonicalize_axis` with node ValueNode canonicalize_axis_167 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.333.909 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `check_dim_valid` with node ValueNode check_dim_valid_183 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.334.530 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: start_dim, [2]: end_dim}, block: 0x2f835510/4↓flatten_184, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1721, 4~39/ check_dim_valid(start_dim, end_dim)/ [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.334.877 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.334.966 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.335.360 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.336.023 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.336.777 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.337.685 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.338.592 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @2↓flatten_175:CNode_186{[0]: ValueNode Depend, [1]: CNode_187, [2]: CNode_188}, state: @2↓flatten_175:CNode_176{[0]: @flatten_174:CNode_177{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode check_flatten_order_const}, [1]: @flatten_174:param_order} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.338.923 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @4↓flatten_184:CNode_189{[0]: ValueNode Depend, [1]: CNode_190, [2]: CNode_191}, state: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: @4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, [2]: @4↓flatten_184:end_dim{[0]: ValueNode canonicalize_axis_167, [1]: param_end_dim, [2]: x_rank}} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.339.156 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:C [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.339.254 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.339.407 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.340.608 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.340.694 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.341.237 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.341.413 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.341.558 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.341.654 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.341.717 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.341.814 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.341.905 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.341.961 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.342.155 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.342.385 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.342.659 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.342.900 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.343.973 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.344.068 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.345.304 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.345.395 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.346.660 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.346.757 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.347.970 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.348.073 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.349.288 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.349.385 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.350.640 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.350.751 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.351.976 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.352.077 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.353.311 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.353.408 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.354.710 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.354.823 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.356.059 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.356.155 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.357.361 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.357.462 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.358.712 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.358.821 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.360.047 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.360.144 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.361.366 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.361.498 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.362.743 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.362.846 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.364.065 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.364.167 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.365.376 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.365.471 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.366.702 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.366.790 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.367.997 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.368.086 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.369.288 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.369.387 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.370.606 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.370.704 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.371.895 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.371.989 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.373.183 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.373.276 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.374.482 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.374.571 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.375.765 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.375.857 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.377.144 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.377.258 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.378.531 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.378.635 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.379.897 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.380.001 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.381.212 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.381.312 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.382.543 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.382.645 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.383.714 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7df9c0/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 1, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.383.901 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7ecc60/@↓flatten_197:CNode_198{[0]: CNode_199, [1]: CNode_200}, user size: 1, first user: @↓flatten_197:CNode_201{[0]: ValueNode Cond, [1]: CNode_198, [2]: ValueNode false} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.384.056 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7eb620/@flatten_174:CNode_202{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode int}, user size: 1, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.384.178 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7df9c0/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 2, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.384.324 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7f0d90/@↱↓flatten_203:CNode_204{[0]: CNode_205, [1]: CNode_206}, user size: 1, first user: @↱↓flatten_203:CNode_207{[0]: ValueNode Cond, [1]: CNode_204, [2]: ValueNode false} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.384.455 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f793090/@flatten_174:param_start_dim, user size: 1, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.384.627 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7df9c0/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 3, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.384.810 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7f4670/@2↱↓flatten_208:CNode_209{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_210}, user size: 1, first user: @2↱↓flatten_208:CNode_211{[0]: ValueNode Cond, [1]: CNode_209, [2]: ValueNode false} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.384.967 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7f33e0/@flatten_174:CNode_210{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode bool}, user size: 1, first user: @2↱↓flatten_208:CNode_209{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_210} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.385.095 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7935a0/@flatten_174:param_end_dim, user size: 1, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.385.225 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7df9c0/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 4, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.385.412 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f792f90/@flatten_174:param_order, user size: 1, first user: @2↓flatten_175:CNode_176{[0]: CNode_177, [1]: param_order} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.385.572 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f793430/@flatten_174:param_input, user size: 1, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.385.714 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f793430/@flatten_174:param_input, user size: 2, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.385.917 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f811f30/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 1, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.386.046 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7935a0/@flatten_174:param_end_dim, user size: 2, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.386.200 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f793090/@flatten_174:param_start_dim, user size: 2, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.386.342 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f809fa0/@flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 1, first user: @✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.386.534 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f793090/@flatten_174:param_start_dim, user size: 3, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.386.685 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7935a0/@flatten_174:param_end_dim, user size: 3, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.386.875 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f82d770/@3↓flatten_178:CNode_216{[0]: CNode_217, [1]: param_start_dim, [2]: ValueNode 1}, user size: 1, first user: @3↓flatten_178:CNode_218{[0]: ValueNode Cond, [1]: CNode_216, [2]: ValueNode false} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.387.054 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f809fa0/@flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 2, first user: @✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.387.207 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f8253b0/@3↓flatten_178:param_фinput, user size: 1, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.387.357 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f811f30/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 2, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.387.533 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f8253b0/@3↓flatten_178:param_фinput, user size: 2, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.387.777 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f843f50/@flatten_174:CNode_182{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode flatten_}, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.388.073 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7cc070/ValueNode check_dim_valid_183, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.388.321 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f8296f0/@3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput}, user size: 1, first user: @✓3↓flatten_221:CNode_222{[0]: CNode_223, [1]: x_rank, [2]: CNode_224} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.388.446 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f793090/@flatten_174:param_start_dim, user size: 4, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.388.647 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7dde30/ValueNode canonicalize_axis_167, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.388.907 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7ba0e0/@check_axis_valid_169:CNode_225{[0]: CNode_226, [1]: param_axis, [2]: CNode_227}, user size: 1, first user: @check_axis_valid_169:CNode_228{[0]: ValueNode Cond, [1]: CNode_225, [2]: ValueNode false} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.389.043 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7b6f10/@check_axis_valid_169:param_ndim, user size: 1, first user: @check_axis_valid_169:CNode_227{[0]: CNode_229, [1]: param_ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.389.158 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f78a4d0/@check_axis_valid_169:param_axis, user size: 1, first user: @check_axis_valid_169:CNode_225{[0]: CNode_226, [1]: param_axis, [2]: CNode_227} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.389.345 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7ce130/@canonicalize_axis_167:param_x_rank, user size: 1, first user: @canonicalize_axis_167:CNode_230{[0]: CNode_231, [1]: param_x_rank, [2]: ValueNode 0} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.389.496 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7cdaf0/@canonicalize_axis_167:param_axis, user size: 1, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.389.627 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7cdaf0/@canonicalize_axis_167:param_axis, user size: 2, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.389.770 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7d3870/@canonicalize_axis_167:ndim{[0]: CNode_173}, user size: 1, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.389.925 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7cdaf0/@canonicalize_axis_167:param_axis, user size: 3, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.390.108 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f8296f0/@3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput}, user size: 2, first user: @✓3↓flatten_221:CNode_222{[0]: CNode_223, [1]: x_rank, [2]: CNode_224} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.390.225 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7935a0/@flatten_174:param_end_dim, user size: 4, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.390.443 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7dde30/ValueNode canonicalize_axis_167, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.390.634 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f8296f0/@3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput}, user size: 3, first user: @✓3↓flatten_221:CNode_222{[0]: CNode_223, [1]: x_rank, [2]: CNode_224} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.390.795 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f8253b0/@3↓flatten_178:param_фinput, user size: 3, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.390.944 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f811f30/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 3, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.391.172 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f84fb10/@4↓flatten_184:end_dim{[0]: ValueNode canonicalize_axis_167, [1]: param_end_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.391.350 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f84e080/@4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.391.494 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f8253b0/@3↓flatten_178:param_фinput, user size: 4, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.391.670 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f8253b0/@3↓flatten_178:param_фinput, user size: 5, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.391.824 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f811f30/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 4, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.392.004 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f84e080/@4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.392.183 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f84fb10/@4↓flatten_184:end_dim{[0]: ValueNode canonicalize_axis_167, [1]: param_end_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.392.356 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f84e080/@4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, user size: 3, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.392.582 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f86c400/@↵6↓flatten_232:param_фend_dim, user size: 1, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.392.731 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f86ee20/@↵6↓flatten_232:CNode_235{[0]: ValueNode Return, [1]: CNode_236}, user size: 1, first user: ValueNode ↵6↓flatten_232 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.392.880 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f86b8d0/@↵6↓flatten_232:param_фidx, user size: 1, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.393.054 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f86b8d0/@↵6↓flatten_232:param_фidx, user size: 2, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.393.280 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f870dc0/@↵6↓flatten_232:param_фx_shape, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.393.541 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f882600/@↵6↓flatten_232:param_фinput, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.393.801 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f881f40/@↵6↓flatten_232:param_фreshape_, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.394.063 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f870dc0/@↵6↓flatten_232:param_фx_shape, user size: 2, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.394.297 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f8792a0/@↵6↓flatten_232:param_фstart_dim, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.394.505 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f872170/@↵6↓flatten_232:param_фdim_length, user size: 1, first user: @↻6↓flatten_237:dim_length{[0]: CNode_239, [1]: param_фdim_length, [2]: CNode_240} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.394.755 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f870dc0/@↵6↓flatten_232:param_фx_shape, user size: 3, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.394.961 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f86c400/@↵6↓flatten_232:param_фend_dim, user size: 2, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.395.136 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f8253b0/@3↓flatten_178:param_фinput, user size: 6, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.395.387 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f824cd0/@flatten_174:CNode_179{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode shape_}, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.395.542 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f793430/@flatten_174:param_input, user size: 3, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.395.769 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f80c120/@✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input}, user size: 1, first user: @✓2↓flatten_215:CNode_241{[0]: CNode_242, [1]: x_rank, [2]: CNode_243} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.395.942 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f818f60/@flatten_174:CNode_244{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode ops}, user size: 1, first user: @↓✓2↓flatten_219:CNode_245{[0]: ValueNode getattr, [1]: CNode_244, [2]: ValueNode tuple_reversed} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.396.174 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7cc070/ValueNode check_dim_valid_183, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.396.398 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7dde30/ValueNode canonicalize_axis_167, user size: 3, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.396.656 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f843f50/@flatten_174:CNode_182{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode flatten_}, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.396.830 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f811f30/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 5, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.396.962 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f7935a0/@flatten_174:param_end_dim, user size: 5, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.397.091 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f793090/@flatten_174:param_start_dim, user size: 5, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.397.232 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f809fa0/@flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 3, first user: @✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.397.393 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f793430/@flatten_174:param_input, user size: 4, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.397.652 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f824cd0/@flatten_174:CNode_179{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode shape_}, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.397.820 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f7ad370, node: 0x2f848c50/@3↓flatten_178:CNode_246{[0]: ValueNode Return, [1]: CNode_247}, user size: 1, first user: ValueNode 3↓flatten_178 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.398.698 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:223] CheckFuncReturn] Function must has 'return' statement, but missing in function 'flatten' at /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640. FuncGraph: ↓check_axis_valid_193, location: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640~1735 def flatten(input, order='C', *, start_dim=1, end_dim=-1): ^ We will add a 'return None' statement automatically. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.399.186 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:223] CheckFuncReturn] Function must has 'return' statement, but missing in function 'flatten' at /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640. FuncGraph: ↓check_dim_valid_192, location: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640~1735 def flatten(input, order='C', *, start_dim=1, end_dim=-1): ^ We will add a 'return None' statement automatically. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.403.253 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.403.785 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.409.628 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f80aac0/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 1, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.409.870 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f5f2a80/@↓flatten_253:CNode_254{[0]: CNode_255, [1]: CNode_256}, user size: 1, first user: @↓flatten_253:CNode_257{[0]: ValueNode Cond, [1]: CNode_254, [2]: ValueNode false} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.410.081 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f5e0430/@flatten_249:CNode_258{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode int}, user size: 1, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.410.220 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f80aac0/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 2, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.410.386 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f8de3a0/@↱↓flatten_259:CNode_260{[0]: CNode_261, [1]: CNode_262}, user size: 1, first user: @↱↓flatten_259:CNode_263{[0]: ValueNode Cond, [1]: CNode_260, [2]: ValueNode false} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.410.575 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f812750/@flatten_249:param_start_dim, user size: 1, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.410.736 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f80aac0/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 3, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.410.932 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f5faee0/@2↱↓flatten_264:CNode_265{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_266}, user size: 1, first user: @2↱↓flatten_264:CNode_267{[0]: ValueNode Cond, [1]: CNode_265, [2]: ValueNode false} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.411.102 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f5dff90/@flatten_249:CNode_266{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode bool}, user size: 1, first user: @2↱↓flatten_264:CNode_265{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_266} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.411.240 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a4f0/@flatten_249:param_end_dim, user size: 1, first user: @↱↓flatten_259:CNode_262{[0]: CNode_250, [1]: param_end_dim, [2]: CNode_258} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.411.395 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f80aac0/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 4, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.411.626 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a120/@flatten_249:param_order, user size: 1, first user: @2↓flatten_268:CNode_269{[0]: CNode_270, [1]: param_order} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.411.852 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a3c0/@flatten_249:param_input, user size: 1, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.412.013 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a3c0/@flatten_249:param_input, user size: 2, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.412.227 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f812750/@flatten_249:param_start_dim, user size: 2, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.412.377 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a4f0/@flatten_249:param_end_dim, user size: 2, first user: @↱↓flatten_259:CNode_262{[0]: CNode_250, [1]: param_end_dim, [2]: CNode_258} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.412.574 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f92c980/@3↓flatten_271:CNode_272{[0]: CNode_273, [1]: param_start_dim, [2]: ValueNode 1}, user size: 1, first user: @3↓flatten_271:CNode_274{[0]: ValueNode Cond, [1]: CNode_272, [2]: ValueNode false} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.412.778 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84c420/@flatten_249:CNode_275{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 1, first user: @✓2↓flatten_276:x_rank{[0]: CNode_275, [1]: param_input} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.412.928 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a720/@3↓flatten_271:param_фinput, user size: 1, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.413.091 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84bf80/@flatten_249:CNode_277{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 1, first user: @2✓2↓flatten_278:CNode_279{[0]: CNode_277, [1]: param_input, [2]: CNode_280} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.413.241 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a720/@3↓flatten_271:param_фinput, user size: 2, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.413.509 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f92b290/@3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput}, user size: 1, first user: @✓3↓flatten_281:CNode_282{[0]: CNode_283, [1]: x_rank, [2]: CNode_284} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.413.634 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f812750/@flatten_249:param_start_dim, user size: 3, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.413.914 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f967540/@check_axis_valid_285:CNode_286{[0]: CNode_287, [1]: param_axis, [2]: CNode_288}, user size: 1, first user: @check_axis_valid_285:CNode_289{[0]: ValueNode Cond, [1]: CNode_286, [2]: ValueNode false} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.414.047 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f965690/@check_axis_valid_285:param_ndim, user size: 1, first user: @check_axis_valid_285:CNode_288{[0]: CNode_290, [1]: param_ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.414.164 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f965440/@check_axis_valid_285:param_axis, user size: 1, first user: @check_axis_valid_285:CNode_286{[0]: CNode_287, [1]: param_axis, [2]: CNode_288} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.414.351 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f958b70/@canonicalize_axis_291:param_x_rank, user size: 1, first user: @canonicalize_axis_291:CNode_292{[0]: CNode_293, [1]: param_x_rank, [2]: ValueNode 0} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.414.701 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f930480/@canonicalize_axis_291:param_axis, user size: 1, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.414.854 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f930480/@canonicalize_axis_291:param_axis, user size: 2, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.414.993 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f95a1a0/@canonicalize_axis_291:ndim{[0]: CNode_295}, user size: 1, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.415.110 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f930480/@canonicalize_axis_291:param_axis, user size: 3, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.415.282 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f92b290/@3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput}, user size: 2, first user: @✓3↓flatten_281:CNode_282{[0]: CNode_283, [1]: x_rank, [2]: CNode_284} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.415.410 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a4f0/@flatten_249:param_end_dim, user size: 3, first user: @↱↓flatten_259:CNode_262{[0]: CNode_250, [1]: param_end_dim, [2]: CNode_258} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.415.530 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f95d3c0/ValueNode canonicalize_axis_291, user size: 1, first user: @4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.415.701 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f92b290/@3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput}, user size: 3, first user: @✓3↓flatten_281:CNode_282{[0]: CNode_283, [1]: x_rank, [2]: CNode_284} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.415.873 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a720/@3↓flatten_271:param_фinput, user size: 3, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.416.033 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84bf80/@flatten_249:CNode_277{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 2, first user: @2✓2↓flatten_278:CNode_279{[0]: CNode_277, [1]: param_input, [2]: CNode_280} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.416.270 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f938ff0/@4↓flatten_296:end_dim{[0]: ValueNode canonicalize_axis_291, [1]: param_end_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.416.443 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f939490/@4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.416.593 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a720/@3↓flatten_271:param_фinput, user size: 4, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.416.801 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f939490/@4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.417.013 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f938ff0/@4↓flatten_296:end_dim{[0]: ValueNode canonicalize_axis_291, [1]: param_end_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.417.190 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f944c50/@↵6↓flatten_299:CNode_300{[0]: ValueNode Return, [1]: CNode_301}, user size: 1, first user: ValueNode ↵6↓flatten_299 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.417.369 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f944790/@↵6↓flatten_299:param_фidx, user size: 1, first user: @↵6↓flatten_299:CNode_302{[0]: CNode_303, [1]: param_фidx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.417.549 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f944790/@↵6↓flatten_299:param_фidx, user size: 2, first user: @↵6↓flatten_299:CNode_302{[0]: CNode_303, [1]: param_фidx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.417.700 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a720/@3↓flatten_271:param_фinput, user size: 5, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.417.882 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a720/@3↓flatten_271:param_фinput, user size: 6, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.418.040 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84bf80/@flatten_249:CNode_277{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 3, first user: @2✓2↓flatten_278:CNode_279{[0]: CNode_277, [1]: param_input, [2]: CNode_280} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.418.248 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f92b720/@3↓flatten_271:x_shape{[0]: CNode_304, [1]: param_фinput}, user size: 1, first user: @↻6↓flatten_305:CNode_306{[0]: CNode_307, [1]: x_shape, [2]: param_фidx} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.418.452 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f939490/@4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank}, user size: 3, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.418.630 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f9449c0/@↵6↓flatten_299:param_фdim_length, user size: 1, first user: @↻6↓flatten_305:dim_length{[0]: CNode_308, [1]: param_фdim_length, [2]: CNode_306} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.418.802 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f92b720/@3↓flatten_271:x_shape{[0]: CNode_304, [1]: param_фinput}, user size: 2, first user: @↻6↓flatten_305:CNode_306{[0]: CNode_307, [1]: x_shape, [2]: param_фidx} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.419.017 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f938ff0/@4↓flatten_296:end_dim{[0]: ValueNode canonicalize_axis_291, [1]: param_end_dim, [2]: x_rank}, user size: 3, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.419.162 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a3c0/@flatten_249:param_input, user size: 3, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.419.346 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f980330/@✓2↓flatten_276:x_rank{[0]: CNode_275, [1]: param_input}, user size: 1, first user: @✓2↓flatten_276:CNode_309{[0]: CNode_310, [1]: x_rank, [2]: CNode_311} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.419.503 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f5df650/@flatten_249:CNode_312{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode ops}, user size: 1, first user: @↓✓2↓flatten_313:CNode_314{[0]: ValueNode getattr, [1]: CNode_312, [2]: ValueNode tuple_reversed} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.419.652 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f84a3c0/@flatten_249:param_input, user size: 4, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.419.777 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x2f803b60, node: 0x2f92a660/@3↓flatten_271:CNode_315{[0]: ValueNode Return, [1]: CNode_316}, user size: 1, first user: ValueNode 3↓flatten_271 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.439.513 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_equal_string_317] Added global python symbol: {F : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.454.534 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_number_in_tuple_319] Added global python symbol: {F : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.455.719 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_number_in_tuple_319] Added global python symbol: {InSequence : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.456.369 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_number_in_tuple_319] Added global python symbol: {const_utils : } [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.468.916 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.477.745 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.478.486 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.479.028 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.479.977 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.481.088 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.482.628 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.491.911 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.492.635 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.493.118 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.494.609 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.495.996 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.497.546 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.506.460 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.507.310 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.507.849 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.508.814 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.510.700 [mindspore/_extends/parse/namespace.py:132] 'SoftmaxCrossEntropyWithLogits' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.511.614 [mindspore/_extends/parse/namespace.py:132] 'SoftmaxCrossEntropyWithLogits' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.512.702 [mindspore/_extends/parse/namespace.py:132] 'SoftmaxCrossEntropyWithLogits' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.514.078 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.527.829 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_322, [1]: param_gradients} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.528.387 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_323, [1]: gradients} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.528.819 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_324, [1]: gradients} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.529.238 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_325, [1]: gradients} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.530.342 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_326{[0]: CNode_327, [1]: CNode_328, [2]: CNode_329}, block: 0x2f439e30/mindspore_nn_optim_momentum_Momentum_construct_321, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/optim/momentum.py:212, 8~74/ self.assignadd(self.global_step, self.global_step_increase_tensor)/ [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.531.320 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_optim_momentum_Momentum_construct_321] Added global python symbol: {F : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.531.754 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_optim_momentum_Momentum_construct_321] Added global python symbol: {_momentum_opt : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.532.900 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_330{[0]: ValueNode Depend, [1]: CNode_331, [2]: CNode_332}, state: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_326{[0]: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_327{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.optim.momentum..', [2]: ValueNode assignadd}, [1]: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_328{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.optim.momentum..', [2]: ValueNode global_step}, [2]: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_329{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.optim.momentum..', [2]: ValueNode global_step_increase_tensor}} [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.534.726 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.548.432 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {ops : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.548.858 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {_get_datatype : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.549.593 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {_cast_datatype : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.549.850 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {mstype : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.550.254 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333 update var `grads` with node @mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333:grads{[0]: CNode_334, [1]: CNode_335, [2]: param_grads} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.551.193 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {reduce_opt : } [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.554.483 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.555.082 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.555.596 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:32.558.188 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 212584b7-612e-11f0-aeac-b04fa6070ebe; have_sent: 100; host_queue: 1, 0, 0, 1, 1, 2, 3, 2, 2, 16; device_queue: 91, 92, 93, 94, 95, 96, 97, 98, 99, 99; push_first_start_time -> push_first_end_time 2025-07-15-11:45:30.431.202 -> 2025-07-15-11:45:30.436.434 push_start_time -> push_end_time -> 2025-07-15-11:45:30.884.269 2025-07-15-11:45:30.884.430 -> 2025-07-15-11:45:30.885.030 2025-07-15-11:45:30.885.274 -> 2025-07-15-11:45:30.886.718 2025-07-15-11:45:30.898.714 -> 2025-07-15-11:45:30.899.608 2025-07-15-11:45:30.899.830 -> 2025-07-15-11:45:30.900.535 2025-07-15-11:45:30.900.703 -> 2025-07-15-11:45:30.901.225 2025-07-15-11:45:30.901.461 -> 2025-07-15-11:45:30.901.967 2025-07-15-11:45:30.908.468 -> 2025-07-15-11:45:30.910.799 2025-07-15-11:45:30.918.628 -> 2025-07-15-11:45:30.922.829 2025-07-15-11:45:30.923.087 -> 2025-07-15-11:45:30.923.890 2025-07-15-11:45:32.557.898 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384446,fffd497aefa0,python):2025-07-15-11:45:32.559.876 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 101 batch(es) to device, channel name: 212584b7-612e-11f0-aeac-b04fa6070ebe [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.561.867 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_ones_like_tensor_339] Added global python symbol: {P : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.569.489 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_env_get_341] Added global python symbol: {environ_get : Prim[EnvironGet]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.569.888 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_env_get_341] Added global python symbol: {ref_to_embed : Prim[RefToEmbed]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.570.280 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_env_get_341] Added global python symbol: {tensor_zeros_like : Prim[ZerosLike]} [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.586.269 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.588.671 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:377] CompileInner] Start compiling, phase: train.1752551131985421056.281468467834128.0. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.588.788 [mindspore/ccsrc/pipeline/jit/ps/pass_config.cc:277] LoadPassesConfig] AUTO_PASSES_OPTIMIZE_PATH: [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.588.832 [mindspore/ccsrc/pipeline/jit/ps/event_message_print.cc:42] PrintEventMessage] Start compiling '_DataWrapper.construct' and it will take a while. Please wait... [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.593.355 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensors_get_datatype_344] Added global python symbol: {ops : } [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.608.173 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:608] Run] Pipeline run [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.608.343 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start bootstrap action. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.608.605 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.609.070 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.609.342 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.609.871 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.610.597 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.612.601 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end bootstrap action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.612.695 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 8 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.612.782 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start type_inference action. [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.613.113 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:433] Eval] Add root_func_graph_backup [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.616.406 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensors_cast_datatype_346] Added global python symbol: {ops : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.623.348 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [cast_347] Added global python symbol: {cast_op : Prim[Cast]} [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.636.146 [mindspore/_extends/parse/namespace.py:132] '_DataWrapper' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.647.761 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_6 has no return node. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.648.426 [mindspore/_extends/parse/namespace.py:132] '_DataWrapper' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.651.136 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensors_allreduce_349] Added global python symbol: {ops : } [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.651.616 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.662.172 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] _no_sens_impl_8 update var `grads` with node @_no_sens_impl_8:grads{[0]: CNode_9, [1]: grads} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.663.135 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_no_sens_impl_8] Added global python symbol: {ops : } [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.666.174 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44668260, node: 0x44637c10/@_no_sens_impl_11:param_inputs, user size: 1, first user: @_no_sens_impl_11:loss{[0]: ValueNode DoUnpackCall, [1]: CNode_12, [2]: param_inputs} [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.668.492 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.673.551 [mindspore/_extends/parse/namespace.py:132] 'WithLossCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.682.401 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14] Added global python symbol: {_check_is_tensor : Prim[_check_is_tensor]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.682.655 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:logits [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.683.473 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_15{[0]: CNode_16, [1]: ValueNode logits, [2]: param_logits, [3]: CNode_17}, block: 0x44661af0/mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/loss/loss.py:865, 8~57/ _check_is_tensor('logits', logits, self.cls_name)/ [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.683.694 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:labels [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.684.328 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_18{[0]: CNode_16, [1]: ValueNode labels, [2]: param_labels, [3]: CNode_19}, block: 0x44661af0/mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/loss/loss.py:866, 8~57/ _check_is_tensor('labels', labels, self.cls_name)/ [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.685.558 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_20{[0]: ValueNode Depend, [1]: CNode_21, [2]: CNode_22}, state: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_23{[0]: ValueNode MakeTuple, [1]: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_15{[0]: CNode_16, [1]: ValueNode logits, [2]: param_logits, [3]: CNode_17}, [2]: @mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_14:CNode_18{[0]: CNode_16, [1]: ValueNode labels, [2]: param_labels, [3]: CNode_19}} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.686.010 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_24 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.686.151 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓✓mindspore_nn_loss_loss_SoftmaxCrossEntropyWithLogits_construct_25 has no return node. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.686.771 [mindspore/_extends/parse/namespace.py:132] 'WithLossCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.694.722 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_27, [1]: param_x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.695.222 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_28, [1]: x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.695.654 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_29, [1]: x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.696.066 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_30, [1]: x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.696.450 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_31, [1]: x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.696.848 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_32, [1]: x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.697.264 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_33, [1]: x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.697.663 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_34, [1]: x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.698.050 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_35, [1]: x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.698.482 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_36, [1]: x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.698.902 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_37, [1]: x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.699.342 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] __main___LeNet5_construct_26 update var `x` with node @__main___LeNet5_construct_26:x{[0]: CNode_38, [1]: x} [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.700.341 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.706.027 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.706.862 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.707.360 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.708.289 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.709.439 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.710.112 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_39] Added global python symbol: {len : } [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.710.207 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.710.457 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.711.060 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.710.699 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.711.295 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.712.657 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `self.weight` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_41{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.713.013 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `x` with node @↓mindspore_nn_layer_basic_Dense_construct_40:x{[0]: CNode_42, [1]: param_фx, [2]: CNode_41} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.713.889 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `self.bias` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_43{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.714.697 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_40] Added global python symbol: {len : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.714.892 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `len` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.715.105 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `x_shape` with node @mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.715.347 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.715.766 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.716.209 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_40] Added global python symbol: {ops : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.716.393 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_39] Added global python symbol: {ops : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.716.555 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_40 update var `ops` with node @mindspore_nn_layer_basic_Dense_construct_39:CNode_46{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.716.992 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.718.002 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.718.915 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.720.828 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4466e610/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.721.011 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4466f6d0/@mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.721.173 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4466e610/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.721.288 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4466f6d0/@mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.721.540 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x446f8bb0/@mindspore_nn_layer_basic_Dense_construct_39:CNode_43{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.721.723 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x446f1e60/@mindspore_nn_layer_basic_Dense_construct_39:CNode_41{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.721.864 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4466e610/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.722.092 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x446fab10/@✓↓mindspore_nn_layer_basic_Dense_construct_50:x{[0]: CNode_51, [1]: x, [2]: CNode_43}, user size: 1, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_52:x{[0]: CNode_53, [1]: x, [2]: out_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.722.268 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4470dd50/@mindspore_nn_layer_basic_Dense_construct_39:CNode_46{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.722.460 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x446fab10/@✓↓mindspore_nn_layer_basic_Dense_construct_50:x{[0]: CNode_51, [1]: x, [2]: CNode_43}, user size: 2, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_52:x{[0]: CNode_53, [1]: x, [2]: out_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.722.592 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x44719890/@4↓mindspore_nn_layer_basic_Dense_construct_54:CNode_55{[0]: ValueNode Return, [1]: param_фx}, user size: 1, first user: ValueNode 4↓mindspore_nn_layer_basic_Dense_construct_54 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.722.701 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4463f780/@mindspore_nn_layer_basic_Dense_construct_39:param_x, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.722.851 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4466e610/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 4, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.723.050 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4470dd50/@mindspore_nn_layer_basic_Dense_construct_39:CNode_46{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.723.167 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4466e610/@mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x}, user size: 5, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.723.278 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4466f6d0/@mindspore_nn_layer_basic_Dense_construct_39:CNode_44{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_39:CNode_47{[0]: CNode_44, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.723.480 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x446f8bb0/@mindspore_nn_layer_basic_Dense_construct_39:CNode_43{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.723.651 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x446f1e60/@mindspore_nn_layer_basic_Dense_construct_39:CNode_41{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_48:CNode_49{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40, [1]: x, [2]: CNode_41, [3]: CNode_43, [4]: CNode_44, [5]: x_shape, [6]: CNode_46} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.723.748 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x4463f780/@mindspore_nn_layer_basic_Dense_construct_39:param_x, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_39:x_shape{[0]: CNode_45, [1]: param_x} [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.723.614 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.723.858 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x446d3e50, node: 0x446f4e20/@↓mindspore_nn_layer_basic_Dense_construct_40:CNode_56{[0]: ValueNode Return, [1]: CNode_57}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_40 [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.725.024 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.728.284 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.728.849 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.731.578 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_58] Added global python symbol: {len : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.731.923 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.732.619 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.732.907 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.733.892 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `self.weight` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_60{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.734.175 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `x` with node @↓mindspore_nn_layer_basic_Dense_construct_59:x{[0]: CNode_61, [1]: param_фx, [2]: CNode_60} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.734.982 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `self.bias` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_62{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.735.642 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_59] Added global python symbol: {len : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.735.809 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `len` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.736.001 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `x_shape` with node @mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.736.233 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.736.633 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.736.777 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.737.052 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_59] Added global python symbol: {ops : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.737.216 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_58] Added global python symbol: {ops : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.737.335 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_59 update var `ops` with node @mindspore_nn_layer_basic_Dense_construct_58:CNode_65{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.737.773 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.741.567 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x446b9ba0/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.741.760 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x446dbe80/@mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.741.943 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x446b9ba0/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.742.050 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x446dbe80/@mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.742.264 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x4475cec0/@mindspore_nn_layer_basic_Dense_construct_58:CNode_62{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.742.120 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.742.475 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x447563c0/@mindspore_nn_layer_basic_Dense_construct_58:CNode_60{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.742.623 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x446b9ba0/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:32.742.927 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.742.818 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x4475edd0/@✓↓mindspore_nn_layer_basic_Dense_construct_69:x{[0]: CNode_70, [1]: x, [2]: CNode_62}, user size: 1, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_71:x{[0]: CNode_72, [1]: x, [2]: out_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.743.001 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x44771870/@mindspore_nn_layer_basic_Dense_construct_58:CNode_65{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.743.169 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x4475edd0/@✓↓mindspore_nn_layer_basic_Dense_construct_69:x{[0]: CNode_70, [1]: x, [2]: CNode_62}, user size: 2, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_71:x{[0]: CNode_72, [1]: x, [2]: out_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.743.279 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x4477ce60/@4↓mindspore_nn_layer_basic_Dense_construct_73:CNode_74{[0]: ValueNode Return, [1]: param_фx}, user size: 1, first user: ValueNode 4↓mindspore_nn_layer_basic_Dense_construct_73 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.743.403 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x4471a830/@mindspore_nn_layer_basic_Dense_construct_58:param_x, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.743.529 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x446b9ba0/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 4, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.743.734 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x44771870/@mindspore_nn_layer_basic_Dense_construct_58:CNode_65{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.743.847 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x446b9ba0/@mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x}, user size: 5, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.743.949 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x446dbe80/@mindspore_nn_layer_basic_Dense_construct_58:CNode_63{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_58:CNode_66{[0]: CNode_63, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.744.117 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x4475cec0/@mindspore_nn_layer_basic_Dense_construct_58:CNode_62{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.744.269 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x447563c0/@mindspore_nn_layer_basic_Dense_construct_58:CNode_60{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_67:CNode_68{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59, [1]: x, [2]: CNode_60, [3]: CNode_62, [4]: CNode_63, [5]: x_shape, [6]: CNode_65} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.744.362 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x4471a830/@mindspore_nn_layer_basic_Dense_construct_58:param_x, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_58:x_shape{[0]: CNode_64, [1]: param_x} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.744.475 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44681d10, node: 0x44759480/@↓mindspore_nn_layer_basic_Dense_construct_59:CNode_75{[0]: ValueNode Return, [1]: CNode_76}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_59 [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.745.537 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.746.274 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.749.987 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_run_opt_ext_353] Added global python symbol: {F : } [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.750.311 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1363] ParseConstant] The Constant is bool:True [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.749.159 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_77] Added global python symbol: {len : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.749.559 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.750.207 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.750.457 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.751.418 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `self.weight` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_79{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.751.709 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `x` with node @↓mindspore_nn_layer_basic_Dense_construct_78:x{[0]: CNode_80, [1]: param_фx, [2]: CNode_79} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.752.485 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `self.bias` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_81{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.753.220 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_78] Added global python symbol: {len : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.753.370 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `len` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.753.582 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `x_shape` with node @mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.753.815 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:2 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.754.246 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.754.733 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_basic_Dense_construct_78] Added global python symbol: {ops : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.754.905 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Dense_construct_77] Added global python symbol: {ops : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.755.026 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_basic_Dense_construct_78 update var `ops` with node @mindspore_nn_layer_basic_Dense_construct_77:CNode_84{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.755.473 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.759.458 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447960f0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.759.635 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447971a0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.759.793 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447960f0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.759.895 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447971a0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.760.098 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447af7f0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_81{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.760.271 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447a8d70/@mindspore_nn_layer_basic_Dense_construct_77:CNode_79{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.760.437 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447960f0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.760.634 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447b1640/@✓↓mindspore_nn_layer_basic_Dense_construct_88:x{[0]: CNode_89, [1]: x, [2]: CNode_81}, user size: 1, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_90:x{[0]: CNode_91, [1]: x, [2]: out_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.760.806 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447c3ed0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_84{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 1, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.760.965 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447b1640/@✓↓mindspore_nn_layer_basic_Dense_construct_88:x{[0]: CNode_89, [1]: x, [2]: CNode_81}, user size: 2, first user: @✓3↓mindspore_nn_layer_basic_Dense_construct_90:x{[0]: CNode_91, [1]: x, [2]: out_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.761.079 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447cf560/@4↓mindspore_nn_layer_basic_Dense_construct_92:CNode_93{[0]: ValueNode Return, [1]: param_фx}, user size: 1, first user: ValueNode 4↓mindspore_nn_layer_basic_Dense_construct_92 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.761.178 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x4471a5d0/@mindspore_nn_layer_basic_Dense_construct_77:param_x, user size: 1, first user: @mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.761.312 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447960f0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 4, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.761.509 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447c3ed0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_84{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode ops}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.761.627 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447960f0/@mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x}, user size: 5, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.761.760 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447971a0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_82{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.basic', [2]: ValueNode len}, user size: 3, first user: @mindspore_nn_layer_basic_Dense_construct_77:CNode_85{[0]: CNode_82, [1]: x_shape} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.761.922 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447af7f0/@mindspore_nn_layer_basic_Dense_construct_77:CNode_81{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode bias}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.762.083 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447a8d70/@mindspore_nn_layer_basic_Dense_construct_77:CNode_79{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.layer.basic..', [2]: ValueNode weight}, user size: 2, first user: @✓mindspore_nn_layer_basic_Dense_construct_86:CNode_87{[0]: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78, [1]: x, [2]: CNode_79, [3]: CNode_81, [4]: CNode_82, [5]: x_shape, [6]: CNode_84} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.762.177 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x4471a5d0/@mindspore_nn_layer_basic_Dense_construct_77:param_x, user size: 2, first user: @mindspore_nn_layer_basic_Dense_construct_77:x_shape{[0]: CNode_83, [1]: param_x} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.762.279 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x4477be90, node: 0x447abd50/@↓mindspore_nn_layer_basic_Dense_construct_78:CNode_94{[0]: ValueNode Return, [1]: CNode_95}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_basic_Dense_construct_78 [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.763.357 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.768.953 [mindspore/ccsrc/pipeline/jit/ps/action.cc:316] AbstractAnalyze] function call depth: 0, simulate call depth: 0 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.769.161 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:313] Run] Specialize set top func graph context: {FuncGraph: mindspore_train_dataset_helper__DataWrapper_construct_354 Args: Parent: } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.769.181 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_basic_Flatten_construct_96] Added global python symbol: {ops : } [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.769.623 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @1_mindspore_train_dataset_helper__DataWrapper_construct_355:CNode_356{[0]: CNode_357}, flag: 1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.769.775 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.769.965 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @2_mindspore_train_dataset_helper__DataWrapper_construct_358:CNode_359{[0]: ValueNode MetaFuncGraph-unpack_call.7, [1]: CNode_360, [2]: outputs}, flag: 1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.770.034 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.770.294 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @3_UnpackCall_361:CNode_362{[0]: param_Parameter_363, [1]: CNode_364, [2]: CNode_365}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.770.634 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @4_mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_366:CNode_367{[0]: ValueNode ✓mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_368}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.770.893 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @5_✓mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_369:CNode_370{[0]: ValueNode MetaFuncGraph-unpack_call.10, [1]: CNode_371, [2]: CNode_372}, flag: 1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.771.016 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_97{[0]: CNode_98, [1]: CNode_99, [2]: ndim}, block: 0x446fc000/mindspore_nn_layer_basic_Flatten_construct_96, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:580, 8~51/ self.check_axis_valid(self.start_dim, ndim)/ [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.771.242 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @6_UnpackCall_373:CNode_374{[0]: param_Parameter_375, [1]: CNode_376, [2]: CNode_377}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.771.615 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @7__no_sens_impl_378:CNode_379{[0]: ValueNode ✗_no_sens_impl_380}, flag: 1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.771.841 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_100{[0]: CNode_98, [1]: CNode_101, [2]: ndim}, block: 0x446fc000/mindspore_nn_layer_basic_Flatten_construct_96, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:581, 8~49/ self.check_axis_valid(self.end_dim, ndim)/ [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.771.851 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @8_✗_no_sens_impl_381:CNode_382{[0]: ValueNode ↓_no_sens_impl_383}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.772.132 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @9_↓_no_sens_impl_384:CNode_385{[0]: ValueNode ✗↓_no_sens_impl_386}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.772.371 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @10_✗↓_no_sens_impl_387:CNode_388{[0]: ValueNode 2↓_no_sens_impl_389}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.772.629 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @9_↓_no_sens_impl_384:loss{[0]: ValueNode Depend, [1]: loss, [2]: CNode_390}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.772.780 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @9_↓_no_sens_impl_384:CNode_390{[0]: CNode_391, [1]: grads}, flag: 1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.772.921 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_102{[0]: ValueNode Depend, [1]: CNode_103, [2]: CNode_104}, state: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_105{[0]: ValueNode MakeTuple, [1]: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_97{[0]: CNode_98, [1]: CNode_99, [2]: ndim}, [2]: @mindspore_nn_layer_basic_Flatten_construct_96:CNode_100{[0]: CNode_98, [1]: CNode_101, [2]: ndim}} [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.076 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.151 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.212 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.270 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.334 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.388 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.445 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.508 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.624 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.701 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.766 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.856 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.921 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.773.987 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.774.054 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.774.122 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.774.200 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.774.261 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.774.317 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.774.236 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.774.378 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.774.466 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.774.532 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.774.593 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.774.658 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.778.068 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_50, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.778.200 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_50, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.778.303 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.778.370 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.778.444 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_40, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.778.539 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_40, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.778.599 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_40, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.778.675 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.778.736 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.780.812 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_69, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.780.945 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_69, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.781.070 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.781.132 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.781.196 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_59, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.781.284 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_59, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.781.344 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_59, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.781.426 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.781.497 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.783.602 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_88, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.783.738 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_88, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.783.831 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.783.897 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.783.962 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_78, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.784.091 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_78, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.784.165 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_78, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.784.258 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.784.324 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.786.001 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1363] ParseConstant] The Constant is bool:False [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.786.544 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:3 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.786.929 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.787.151 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1363] ParseConstant] The Constant is bool:True [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.788.378 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_pooling_MaxPool2d_construct_106] Added global python symbol: {isinstance : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.788.599 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_pooling_MaxPool2d_construct_107] Added global python symbol: {isinstance : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.788.737 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106 update var `isinstance` with node @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_108{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode isinstance} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.789.013 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↓mindspore_nn_layer_pooling_MaxPool2d_construct_106] Added global python symbol: {tuple : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.789.159 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_layer_pooling_MaxPool2d_construct_107] Added global python symbol: {tuple : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.789.275 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106 update var `tuple` with node @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_109{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode tuple} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.789.809 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.790.031 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.790.320 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.790.516 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.790.953 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.790.984 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_392, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.791.096 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_392, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.791.179 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_392, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.793.247 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_393, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.793.385 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_393, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.793.462 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_393, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.794.299 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x4482f190/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_109{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode tuple}, user size: 1, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.794.515 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x4482cee0/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_108{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode isinstance}, user size: 1, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.794.728 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x44826f70/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 1, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.794.881 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x44826f70/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 2, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.795.003 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x448405d0/@↓✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_116:CNode_117{[0]: ValueNode Return, [1]: CNode_118}, user size: 1, first user: ValueNode ↓✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_116 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.795.143 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x44826f70/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 3, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.795.288 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x44826f70/@✗↓mindspore_nn_layer_pooling_MaxPool2d_construct_112:out{[0]: CNode_113, [1]: param_фx}, user size: 4, first user: @✓2↓mindspore_nn_layer_pooling_MaxPool2d_construct_114:CNode_115{[0]: CNode_108, [1]: out, [2]: CNode_109} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.795.450 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x448440d0/@3↓mindspore_nn_layer_pooling_MaxPool2d_construct_119:CNode_120{[0]: ValueNode Return, [1]: CNode_121}, user size: 1, first user: ValueNode 3↓mindspore_nn_layer_pooling_MaxPool2d_construct_119 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.795.569 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x44782a20/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:param_x, user size: 1, first user: @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_122{[0]: ValueNode getattr, [1]: param_x, [2]: ValueNode ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.795.738 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x4482f190/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_109{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode tuple}, user size: 2, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.795.893 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x4482cee0/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_108{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.nn.layer.pooling', [2]: ValueNode isinstance}, user size: 2, first user: @✓mindspore_nn_layer_pooling_MaxPool2d_construct_110:CNode_111{[0]: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106, [1]: x, [2]: ValueNode true, [3]: CNode_108, [4]: CNode_109} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.795.993 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x44782a20/@mindspore_nn_layer_pooling_MaxPool2d_construct_107:param_x, user size: 2, first user: @mindspore_nn_layer_pooling_MaxPool2d_construct_107:CNode_122{[0]: ValueNode getattr, [1]: param_x, [2]: ValueNode ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.796.104 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44803020, node: 0x44740ab0/@↓mindspore_nn_layer_pooling_MaxPool2d_construct_106:CNode_123{[0]: ValueNode Return, [1]: CNode_124}, user size: 1, first user: ValueNode ↓mindspore_nn_layer_pooling_MaxPool2d_construct_106 [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.797.174 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.797.921 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.804.223 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.804.996 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.805.483 [mindspore/_extends/parse/namespace.py:132] 'LeNet5' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.808.605 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.809.822 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.811.373 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.819.339 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @198_mindspore_nn_optim_momentum_Momentum_construct_394:CNode_395{[0]: ValueNode Depend, [1]: CNode_396, [2]: CNode_397}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.819.521 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @198_mindspore_nn_optim_momentum_Momentum_construct_394:CNode_396{[0]: ValueNode ✗mindspore_nn_optim_momentum_Momentum_construct_398}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.819.701 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_global_step, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.819.773 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_global_step, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.819.849 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_global_step, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.820.145 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @199_✗mindspore_nn_optim_momentum_Momentum_construct_399:CNode_400{[0]: ValueNode 2✗mindspore_nn_optim_momentum_Momentum_construct_401}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.820.411 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @200_2✗mindspore_nn_optim_momentum_Momentum_construct_402:CNode_403{[0]: ValueNode ↓✗mindspore_nn_optim_momentum_Momentum_construct_404}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.820.668 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @201_↓✗mindspore_nn_optim_momentum_Momentum_construct_405:CNode_406{[0]: ValueNode ↓mindspore_nn_optim_momentum_Momentum_construct_407}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.820.974 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @200_2✗mindspore_nn_optim_momentum_Momentum_construct_402:success{[0]: ValueNode MetaFuncGraph-hyper_map.351, [1]: CNode_408, [2]: gradients, [3]: params, [4]: moments}, flag: 1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.819.257 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_equal_scalar_126] Added global python symbol: {F : } [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.821.231 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @200_2✗mindspore_nn_optim_momentum_Momentum_construct_402:CNode_409{[0]: ValueNode Partial, [1]: ValueNode MetaFuncGraph-S-signature.352, [2]: CNode_410, [3]: CNode_411, [4]: lr}, flag: 1 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.821.380 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.821.475 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.821.543 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.821.611 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.821.674 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.821.739 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.821.809 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.821.870 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.006 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.082 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.153 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.223 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.287 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.366 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.503 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.595 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.746 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.834 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.903 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.822.966 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.033 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.106 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.176 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.248 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.346 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.409 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.469 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.529 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.594 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.666 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.730 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.797 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.823.970 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.059 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.131 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.224 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.294 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.362 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.426 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.494 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.579 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.641 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.702 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.759 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.819 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.883 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.824.942 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.825.017 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.825.499 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.825.602 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.825.813 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.825.886 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.828.065 [mindspore/_extends/parse/namespace.py:132] 'MaxPool2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.833.714 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓get_lr_412, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.833.851 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓get_lr_412, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.833.925 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for get_lr_413, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.833.988 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for get_lr_413, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.830.296 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.831.338 [mindspore/_extends/parse/namespace.py:132] 'Conv2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.832.315 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.835.947 [mindspore/_extends/parse/namespace.py:132] 'MaxPool2d' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.837.616 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.841.571 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:'start_dim' or 'end_dim' out of range. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.842.100 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.842.293 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.842.527 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.842.633 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.842.685 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_128 has no return node. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.862.622 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:223] CheckFuncReturn] Function must has 'return' statement, but missing in bound method 'check_axis_valid' at /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:573 of . FuncGraph: ↓check_axis_valid_128, location: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/layer/basic.py:573~575, 4~70 def check_axis_valid(self, axis, ndim): We will add a 'return None' statement automatically. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.863.268 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end type_inference action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.863.554 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2396 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.863.662 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start auto_monad action. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.863.498 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.866.866 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/auto_monad.cc:808] TraceGetItemEffectInfo] CNode has no side effect: @245_grad_mindspore_nn_wrap_cell_wrapper_WithLossCell_construct_414:CNode_415{[0]: ValueNode TupleGetItem, [1]: CNode_416, [2]: ValueNode 1} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.868.987 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [rank_129] Added global python symbol: {_get_cache_prim : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.869.272 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [rank_129] Added global python symbol: {Rank : } [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.871.665 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end auto_monad action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.872.142 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.872.254 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start graph_reusing action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.872.430 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end graph_reusing action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.872.614 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.872.682 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start inline action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.872.718 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end inline action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.872.836 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.872.888 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start add_attr action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.872.966 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_attr_with_inline start ... [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.877.357 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [fill_417] Added global python symbol: {cast_ : Prim[Cast]} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.877.824 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] fill_417 update var `value` with node @fill_417:value{[0]: CNode_418, [1]: param_value, [2]: param_type} [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.878.193 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [fill_417] Added global python symbol: {fillv2_ : Prim[FillV2]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.881.985 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {str : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.882.793 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↻_get_cache_prim_for_pynative_131] Added global python symbol: {str : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.883.394 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] ↻_get_cache_prim_for_pynative_131 update var `str` with node @↵_get_cache_prim_for_pynative_132:param_фstr [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.883.783 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {tuple : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.884.099 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] _get_cache_prim_for_pynative_133 update var `key` with node @_get_cache_prim_for_pynative_133:key{[0]: CNode_134, [1]: key, [2]: CNode_135} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.884.698 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start add_attr.r1.j0.tag_attr [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:32.884.811 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:770] HandleAddAttr] HandleAddAttr pass start. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.885.137 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:: [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.885.418 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↵_get_cache_prim_for_pynative_136] Added global python symbol: {str : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.886.207 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↵_get_cache_prim_for_pynative_136] Added global python symbol: {_PRIM_CACHE : {}} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.886.373 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {_PRIM_CACHE : {}} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.886.582 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End add_attr.r1.j0.tag_attr.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.886.716 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start add_attr.r1.j0.meta_addattr_fg_expand [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.886.806 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [↵_get_cache_prim_for_pynative_136] Added global python symbol: {Primitive : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.886.954 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_get_cache_prim_130] Added global python symbol: {Primitive : } [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.887.670 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End add_attr.r1.j0.meta_addattr_fg_expand.unchanged [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.887.750 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_attr_with_inline end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.887.792 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end add_attr action. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.887.887 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @✓↓_get_cache_prim_for_pynative_137:CNode_138{[0]: ValueNode DoUnpackCall, [1]: CNode_139, [2]: param_фargs, [3]: param_фkwargs}, block: 0x44934af0/✓↓_get_cache_prim_for_pynative_137, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_primitive_cache.py:84, 12~42/ prim.__init__(*args, **kwargs)/ [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.887.997 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.888.072 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start parallel-infer-symbol action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.888.144 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end parallel-infer-symbol action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.888.282 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.888.340 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start pre_auto_parallel action. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.888.681 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 2↓_get_cache_prim_for_pynative_140 update var `key` with node @↓_get_cache_prim_for_pynative_141:key{[0]: param_фstr, [1]: param_фkey} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.889.119 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @↻_get_cache_prim_for_pynative_142:CNode_143{[0]: ValueNode Depend, [1]: CNode_144, [2]: CNode_145}, state: @↻_get_cache_prim_for_pynative_142:CNode_146{[0]: ValueNode MetaFuncGraph-add.147, [1]: @↵_get_cache_prim_for_pynative_136:param_@CNode_146, [2]: ValueNode 1} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.889.374 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @✓↓_get_cache_prim_for_pynative_137:CNode_148{[0]: ValueNode Depend, [1]: CNode_149, [2]: CNode_150}, state: @✓↓_get_cache_prim_for_pynative_137:CNode_138{[0]: ValueNode DoUnpackCall, [1]: @✓↓_get_cache_prim_for_pynative_137:CNode_139{[0]: ValueNode getattr, [1]: prim, [2]: ValueNode __init__}, [2]: @↵_get_cache_prim_for_pynative_136:param_фargs, [3]: @↵_get_cache_prim_for_pynative_136:param_фkwargs} [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:32.890.967 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 2511 us [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.891.058 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end pre_auto_parallel action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.891.445 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.891.539 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start insert-virtual-dataset action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.891.589 [mindspore/ccsrc/pipeline/jit/ps/pipeline_split.cc:402] ParallelVirtualDataset] Only auto_parallel and semi_auto_parallel support it. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.891.626 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end insert-virtual-dataset action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.891.786 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.891.847 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start parallel-infer-symbol-second action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.891.882 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end parallel-infer-symbol-second action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.892.004 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.892.064 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start dataset_repeat_opt action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.892.095 [mindspore/ccsrc/pipeline/jit/ps/pass.cc:1604] DatasetRepeatReaderOptPass] Only auto_parallel and semi_auto_parallel support dataset repeat optimizer. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.892.122 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end dataset_repeat_opt action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.892.232 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.892.284 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start pipeline_split action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.892.323 [mindspore/ccsrc/pipeline/jit/ps/pipeline_split.cc:235] ValidateParallelContext] Only auto_parallel and semi_auto_parallel support pipeline split. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.892.360 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end pipeline_split action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.892.474 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.892.564 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start optimize action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.892.629 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass py_interpret_to_execute start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.894.465 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass py_interpret_to_execute end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.894.576 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass rewriter_before_opt_a start ... [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.895.969 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓_get_cache_prim_151 has no return node. [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.897.962 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/prim.cc:2633] EvalPrim] For MakeTuple, the inputs should not be empty. node: @_new_prim_for_graph_152:CNode_153{[0]: ValueNode MakeTuple} [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.898.119 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/prim.cc:2633] EvalPrim] For MakeTuple, the inputs should not be empty. node: @_new_prim_for_graph_152:CNode_154{[0]: ValueNode MakeTuple} [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.898.214 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/prim.cc:2633] EvalPrim] For MakeTuple, the inputs should not be empty. node: @_new_prim_for_graph_152:CNode_155{[0]: ValueNode MakeTuple} [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.902.631 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass rewriter_before_opt_a end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:32.902.788 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass opt_a start ... [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.902.846 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.expand_dump_flag [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.903.017 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.expand_dump_flag.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.903.073 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.903.120 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_switch_simplify [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.903.238 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_not_equal_scalar_157] Added global python symbol: {F : } [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.908.199 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.switch_simplify.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.908.322 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.loop_unroll [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.908.369 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_loop_unroll [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.909.021 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_logical_not_scala_159] Added global python symbol: {F : } [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.912.232 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.loop_unroll.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.912.347 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:32.912.393 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_a_1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.916.247 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_neg_scalar_161] Added global python symbol: {F : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.922.084 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_less_scala_163] Added global python symbol: {F : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.928.311 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_greater_equal_scala_165] Added global python symbol: {F : } [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:32.931.371 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.960.222 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:'start_dim' or 'end_dim' out of range. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.960.939 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:For 'flatten', 'start_dim' cannot come after 'end_dim'. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.961.369 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.961.589 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.962.350 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim}, block: 0x449f2240/canonicalize_axis_167, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1690, 8~36/ check_axis_valid(axis, ndim)/ [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.962.620 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.963.145 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @canonicalize_axis_167:CNode_170{[0]: ValueNode Depend, [1]: CNode_171, [2]: CNode_172}, state: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: @canonicalize_axis_167:param_axis, [2]: @canonicalize_axis_167:ndim{[0]: CNode_173}} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.963.578 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {isinstance : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.963.812 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {Tensor : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.964.169 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:For 'flatten', argument 'input' must be Tensor. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.964.701 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {int : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.965.275 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {bool : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.965.901 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:For 'flatten', both 'start_dim' and 'end_dim' must be int. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.966.486 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {check_flatten_order_const : Prim[check_flatten_order]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.967.138 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @2↓flatten_175:CNode_176{[0]: CNode_177, [1]: param_order}, block: 0x44a23e80/2↓flatten_175, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1700, 4~36/ check_flatten_order_const(order)/ [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.967.458 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:F [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.967.803 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {rank_ : Prim[Rank]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.968.249 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.968.342 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.968.690 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {reshape_ : Prim[Reshape]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.968.947 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.969.371 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {ops : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.969.643 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.970.256 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {transpose_ : Prim[Transpose]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.970.876 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {shape_ : Prim[Shape]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.971.054 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {shape_ : Prim[Shape]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.971.202 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `shape_` with node @flatten_174:CNode_179{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode shape_} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.971.671 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {rank_ : Prim[Rank]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.971.819 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `rank_` with node @flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.972.228 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `start_dim` with node @flatten_174:param_start_dim [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.972.444 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.972.682 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `end_dim` with node @flatten_174:param_end_dim [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.972.836 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.973.230 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.973.323 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.973.672 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {reshape_ : Prim[Reshape]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.973.834 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `reshape_` with node @flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.974.102 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.974.617 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [3↓flatten_178] Added global python symbol: {flatten_ : Prim[Flatten]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.974.793 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [flatten_174] Added global python symbol: {flatten_ : Prim[Flatten]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.974.932 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `flatten_` with node @flatten_174:CNode_182{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode flatten_} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.975.404 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `canonicalize_axis` with node ValueNode canonicalize_axis_167 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.975.939 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] 3↓flatten_178 update var `check_dim_valid` with node ValueNode check_dim_valid_183 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.976.512 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: start_dim, [2]: end_dim}, block: 0x44a5aec0/4↓flatten_184, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1721, 4~39/ check_dim_valid(start_dim, end_dim)/ [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.976.827 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:0 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.976.919 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.977.301 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.977.954 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.978.722 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.979.533 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.980.325 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @2↓flatten_175:CNode_186{[0]: ValueNode Depend, [1]: CNode_187, [2]: CNode_188}, state: @2↓flatten_175:CNode_176{[0]: @flatten_174:CNode_177{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode check_flatten_order_const}, [1]: @flatten_174:param_order} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.980.662 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @4↓flatten_184:CNode_189{[0]: ValueNode Depend, [1]: CNode_190, [2]: CNode_191}, state: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: @4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, [2]: @4↓flatten_184:end_dim{[0]: ValueNode canonicalize_axis_167, [1]: param_end_dim, [2]: x_rank}} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.980.850 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1379] ParseConstant] The Constant is string:C [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.980.938 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:32.981.077 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1366] ParseConstant] The Constant is int64_t:1 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.982.239 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.982.322 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.982.890 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.983.056 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.983.191 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.983.283 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.983.338 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.983.428 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.983.510 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.983.562 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.983.748 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.983.967 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.984.191 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.984.397 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.985.469 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.985.572 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.986.841 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.986.925 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.988.109 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.988.185 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.989.358 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.989.435 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.990.637 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.990.713 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.991.882 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.991.964 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.993.145 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.993.234 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.994.446 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.994.539 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.995.751 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.995.828 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.997.010 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.997.090 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.998.274 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.998.355 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.999.595 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:32.999.681 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.000.897 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.000.978 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.002.147 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.002.226 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.003.428 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.003.519 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.004.720 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.004.808 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.006.017 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.006.104 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.007.314 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.007.392 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.007.457 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_1.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.007.559 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.invalid_dout_check [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.008.108 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.invalid_dout_check.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.008.172 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.recompute_prepare [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.008.219 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_recompute_prepare [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.008.562 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.008.636 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.008.925 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.recompute_prepare.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.008.977 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.updatestate_depend_eliminate [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.009.805 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.009.876 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.010.371 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.updatestate_depend_eliminate.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.010.496 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.010.868 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.010.928 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.updatestate_loads_eliminate [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.011.052 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.011.126 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.011.939 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.updatestate_loads_eliminate.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.012.016 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.parameter_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.012.102 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.parameter_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.012.149 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_2 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.012.190 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r1_a_2 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.012.250 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.012.279 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.012.347 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.012.655 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.012.721 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.013.108 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.013.154 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.013.528 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.013.602 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.013.527 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.013.578 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.013.954 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.013.998 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.014.385 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.014.453 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.014.805 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.014.901 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.014.882 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.014.925 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.015.346 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.015.411 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.015.808 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.015.854 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.016.089 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.016.166 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.016.323 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.016.372 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.016.853 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.016.899 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.017.243 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.017.283 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.017.326 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.017.396 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.017.666 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.017.705 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.018.123 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.018.167 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.018.570 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.018.599 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.018.643 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.018.646 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.019.074 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.019.115 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.019.653 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.019.711 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.019.796 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.019.867 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.020.118 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.020.166 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.020.537 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.020.585 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.020.979 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.021.027 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.021.028 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.021.100 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.021.388 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.021.428 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.021.790 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.021.832 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.022.200 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.022.242 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.022.253 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_dim_valid_192 has no return node. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.022.323 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph ↓check_axis_valid_193 has no return node. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.022.658 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.022.702 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.023.110 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.023.151 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.023.372 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a05370/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 1, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.023.537 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a12610/@↓flatten_197:CNode_198{[0]: CNode_199, [1]: CNode_200}, user size: 1, first user: @↓flatten_197:CNode_201{[0]: ValueNode Cond, [1]: CNode_198, [2]: ValueNode false} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.023.538 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.023.577 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.023.676 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a10fd0/@flatten_174:CNode_202{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode int}, user size: 1, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.023.786 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a05370/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 2, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.023.932 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a16740/@↱↓flatten_203:CNode_204{[0]: CNode_205, [1]: CNode_206}, user size: 1, first user: @↱↓flatten_203:CNode_207{[0]: ValueNode Cond, [1]: CNode_204, [2]: ValueNode false} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.024.042 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b8d40/@flatten_174:param_start_dim, user size: 1, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.024.025 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.024.071 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.024.151 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a05370/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 3, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.024.294 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a1a020/@2↱↓flatten_208:CNode_209{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_210}, user size: 1, first user: @2↱↓flatten_208:CNode_211{[0]: ValueNode Cond, [1]: CNode_209, [2]: ValueNode false} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.024.417 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a18d90/@flatten_174:CNode_210{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode bool}, user size: 1, first user: @2↱↓flatten_208:CNode_209{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_210} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.024.512 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b9250/@flatten_174:param_end_dim, user size: 1, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.024.530 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.024.571 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.024.620 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a05370/@flatten_174:CNode_194{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 4, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.024.770 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b8c40/@flatten_174:param_order, user size: 1, first user: @2↓flatten_175:CNode_176{[0]: CNode_177, [1]: param_order} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.024.902 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b90e0/@flatten_174:param_input, user size: 1, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.024.907 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.024.963 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.025.019 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b90e0/@flatten_174:param_input, user size: 2, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.025.191 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a378e0/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 1, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.025.306 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b9250/@flatten_174:param_end_dim, user size: 2, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.025.356 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.025.405 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b8d40/@flatten_174:param_start_dim, user size: 2, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.025.400 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.025.513 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a2f950/@flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 1, first user: @✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.025.648 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b8d40/@flatten_174:param_start_dim, user size: 3, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.025.759 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b9250/@flatten_174:param_end_dim, user size: 3, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.025.790 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.025.832 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.025.912 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a53120/@3↓flatten_178:CNode_216{[0]: CNode_217, [1]: param_start_dim, [2]: ValueNode 1}, user size: 1, first user: @3↓flatten_178:CNode_218{[0]: ValueNode Cond, [1]: CNode_216, [2]: ValueNode false} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.026.063 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a2f950/@flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 2, first user: @✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.026.183 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a4ad60/@3↓flatten_178:param_фinput, user size: 1, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.026.227 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.026.268 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.026.302 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a378e0/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 2, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.026.456 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a4ad60/@3↓flatten_178:param_фinput, user size: 2, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.026.671 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a69900/@flatten_174:CNode_182{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode flatten_}, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.026.698 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.026.744 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.027.154 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.027.199 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.027.578 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.027.627 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_2.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.027.686 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.accelerated_algorithm [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.027.729 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_accelerated_algorithm [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.026.895 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449f1a20/ValueNode check_dim_valid_183, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.027.097 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a4f0a0/@3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput}, user size: 1, first user: @✓3↓flatten_221:CNode_222{[0]: CNode_223, [1]: x_rank, [2]: CNode_224} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.027.197 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b8d40/@flatten_174:param_start_dim, user size: 4, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.027.365 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a037e0/ValueNode canonicalize_axis_167, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.027.578 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449df970/@check_axis_valid_169:CNode_225{[0]: CNode_226, [1]: param_axis, [2]: CNode_227}, user size: 1, first user: @check_axis_valid_169:CNode_228{[0]: ValueNode Cond, [1]: CNode_225, [2]: ValueNode false} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.027.679 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449dc7a0/@check_axis_valid_169:param_ndim, user size: 1, first user: @check_axis_valid_169:CNode_227{[0]: CNode_229, [1]: param_ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.027.768 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b0180/@check_axis_valid_169:param_axis, user size: 1, first user: @check_axis_valid_169:CNode_225{[0]: CNode_226, [1]: param_axis, [2]: CNode_227} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.028.047 [mindspore/ccsrc/frontend/optimizer/opt.cc:242] ApplyIRToSubstitutions] There may be a problem. Substitution: opt_a.r1.accelerated_algorithm.less_batch_normalization [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.028.342 [mindspore/ccsrc/frontend/optimizer/opt.cc:242] ApplyIRToSubstitutions] There may be a problem. Substitution: opt_a.r1.accelerated_algorithm.less_batch_normalization [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.027.918 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449f3ae0/@canonicalize_axis_167:param_x_rank, user size: 1, first user: @canonicalize_axis_167:CNode_230{[0]: CNode_231, [1]: param_x_rank, [2]: ValueNode 0} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.028.047 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449f34a0/@canonicalize_axis_167:param_axis, user size: 1, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.028.167 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449f34a0/@canonicalize_axis_167:param_axis, user size: 2, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.028.279 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449f9220/@canonicalize_axis_167:ndim{[0]: CNode_173}, user size: 1, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.028.371 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449f34a0/@canonicalize_axis_167:param_axis, user size: 3, first user: @canonicalize_axis_167:CNode_168{[0]: ValueNode check_axis_valid_169, [1]: param_axis, [2]: ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.028.504 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a4f0a0/@3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput}, user size: 2, first user: @✓3↓flatten_221:CNode_222{[0]: CNode_223, [1]: x_rank, [2]: CNode_224} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.028.602 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b9250/@flatten_174:param_end_dim, user size: 4, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.028.655 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.accelerated_algorithm.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.028.714 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.shard [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.028.752 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:627] Shard] Shard pass starts. [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.028.787 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:630] Shard] Shard Prim don't exist, skip Shard pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.028.817 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.shard.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.028.875 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.meta_shard_fg_expand [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.028.769 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a037e0/ValueNode canonicalize_axis_167, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.028.915 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a4f0a0/@3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput}, user size: 3, first user: @✓3↓flatten_221:CNode_222{[0]: CNode_223, [1]: x_rank, [2]: CNode_224} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.029.038 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a4ad60/@3↓flatten_178:param_фinput, user size: 3, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.029.108 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.meta_shard_fg_expand.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.029.160 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.shard_inline [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.029.165 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a378e0/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 3, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.029.201 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_shard_inline [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.029.347 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a754c0/@4↓flatten_184:end_dim{[0]: ValueNode canonicalize_axis_167, [1]: param_end_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.029.489 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a73a30/@4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.029.611 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a4ad60/@3↓flatten_178:param_фinput, user size: 4, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.029.677 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.shard_inline.unchanged [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.029.726 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a4ad60/@3↓flatten_178:param_фinput, user size: 5, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.029.726 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_send_recv [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.029.847 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a378e0/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 4, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.029.993 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a73a30/@4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.030.137 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a754c0/@4↓flatten_184:end_dim{[0]: ValueNode canonicalize_axis_167, [1]: param_end_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.030.116 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_send_recv.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.030.171 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.auto_parallel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.030.277 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a73a30/@4↓flatten_184:idx{[0]: ValueNode canonicalize_axis_167, [1]: param_start_dim, [2]: x_rank}, user size: 3, first user: @4↓flatten_184:CNode_185{[0]: ValueNode check_dim_valid_183, [1]: idx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.030.474 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a91f30/@↵6↓flatten_232:param_фend_dim, user size: 1, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.030.465 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 248 us [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.030.512 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.auto_parallel.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.030.566 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.parallel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.030.592 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a94950/@↵6↓flatten_232:CNode_235{[0]: ValueNode Return, [1]: CNode_236}, user size: 1, first user: ValueNode ↵6↓flatten_232 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.030.716 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a91400/@↵6↓flatten_232:param_фidx, user size: 1, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.030.661 [mindspore/ccsrc/frontend/parallel/step_parallel.cc:123] StepParallel] Strategies would be ignored in data_parallel, shard() only valid in [semi_]auto_parallel. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.030.701 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.parallel.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.030.741 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.flash_sp [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.030.850 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a91400/@↵6↓flatten_232:param_фidx, user size: 2, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.030.946 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.flash_sp.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.030.998 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_comm [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.031.043 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a968f0/@↵6↓flatten_232:param_фx_shape, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.031.299 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_comm.unchanged [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.031.263 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44aa8130/@↵6↓flatten_232:param_фinput, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.031.353 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.allreduce_fusion [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.031.449 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44aa7a70/@↵6↓flatten_232:param_фreshape_, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.031.639 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.allreduce_fusion.unchanged [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.031.664 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a968f0/@↵6↓flatten_232:param_фx_shape, user size: 2, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.031.690 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.matmul_add_comm_reduction [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.031.861 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a9edd0/@↵6↓flatten_232:param_фstart_dim, user size: 1, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.032.017 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a97ca0/@↵6↓flatten_232:param_фdim_length, user size: 1, first user: @↻6↓flatten_237:dim_length{[0]: CNode_239, [1]: param_фdim_length, [2]: CNode_240} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.032.135 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.matmul_add_comm_reduction.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.032.198 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.allreduce_slice_to_reducescatter [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.032.223 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a968f0/@↵6↓flatten_232:param_фx_shape, user size: 3, first user: @↻6↓flatten_237:CNode_238{[0]: ValueNode ↵6↓flatten_232, [1]: idx, [2]: param_фend_dim, [3]: param_фx_shape, [4]: dim_length, [5]: param_фstart_dim, [6]: param_фreshape_, [7]: param_фinput} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.032.266 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.allreduce_slice_to_reducescatter.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.032.324 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.virtual_shard_identity [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.032.377 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a91f30/@↵6↓flatten_232:param_фend_dim, user size: 2, first user: @↵6↓flatten_232:CNode_233{[0]: CNode_234, [1]: param_фidx, [2]: param_фend_dim} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.032.365 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_virtual_shard_identity [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.032.517 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a4ad60/@3↓flatten_178:param_фinput, user size: 6, first user: @3↓flatten_178:x_rank{[0]: CNode_180, [1]: param_фinput} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.032.735 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a4a680/@flatten_174:CNode_179{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode shape_}, user size: 1, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.032.865 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b90e0/@flatten_174:param_input, user size: 3, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.032.853 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.virtual_shard_identity.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.032.913 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.virtual_dataset [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.032.947 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_virtual_dataset [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.033.027 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a31ad0/@✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input}, user size: 1, first user: @✓2↓flatten_215:CNode_241{[0]: CNode_242, [1]: x_rank, [2]: CNode_243} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.033.161 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a3e910/@flatten_174:CNode_244{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode ops}, user size: 1, first user: @↓✓2↓flatten_219:CNode_245{[0]: ValueNode getattr, [1]: CNode_244, [2]: ValueNode tuple_reversed} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.033.355 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449f1a20/ValueNode check_dim_valid_183, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.033.390 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.virtual_dataset.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.033.443 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.get_grad_eliminate_ [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.033.477 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_get_grad_eliminate_ [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.033.535 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a037e0/ValueNode canonicalize_axis_167, user size: 3, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.033.740 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a69900/@flatten_174:CNode_182{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode flatten_}, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.033.872 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a378e0/@flatten_174:CNode_181{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 5, first user: @2✓2↓flatten_212:CNode_213{[0]: CNode_181, [1]: param_input, [2]: CNode_214} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.033.979 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b9250/@flatten_174:param_end_dim, user size: 5, first user: @↱↓flatten_203:CNode_206{[0]: CNode_194, [1]: param_end_dim, [2]: CNode_202} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.033.923 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.get_grad_eliminate_.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.033.977 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.virtual_output [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.034.012 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_virtual_output [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.034.095 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b8d40/@flatten_174:param_start_dim, user size: 5, first user: @↓flatten_197:CNode_200{[0]: CNode_194, [1]: param_start_dim, [2]: CNode_202} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.034.209 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a2f950/@flatten_174:CNode_180{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 3, first user: @✓2↓flatten_215:x_rank{[0]: CNode_180, [1]: param_input} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.034.309 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x449b90e0/@flatten_174:param_input, user size: 4, first user: @flatten_174:CNode_195{[0]: CNode_194, [1]: param_input, [2]: CNode_196} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.034.529 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a4a680/@flatten_174:CNode_179{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode shape_}, user size: 2, first user: @↓✓2↓flatten_219:CNode_220{[0]: ValueNode 3↓flatten_178, [1]: CNode_179, [2]: input, [3]: CNode_180, [4]: param_start_dim, [5]: param_end_dim, [6]: CNode_181, [7]: CNode_182, [8]: ValueNode canonicalize_axis_167, [9]: ValueNode check_dim_valid_183} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.034.470 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.virtual_output.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.034.532 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_forward [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.034.645 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x449d11c0, node: 0x44a6e600/@3↓flatten_178:CNode_246{[0]: ValueNode Return, [1]: CNode_247}, user size: 1, first user: ValueNode 3↓flatten_178 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.034.811 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_forward.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.034.872 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.offload_activation [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.035.262 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.offload_activation.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.035.325 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.cell_reuse_recompute_pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.035.397 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.cell_reuse_recompute_pass.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.035.440 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.035.479 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r1_cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.035.524 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: remove_not_recompute_node [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.035.850 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:223] CheckFuncReturn] Function must has 'return' statement, but missing in function 'flatten' at /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640. FuncGraph: ↓check_axis_valid_193, location: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640~1735 def flatten(input, order='C', *, start_dim=1, end_dim=-1): ^ We will add a 'return None' statement automatically. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.036.240 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:223] CheckFuncReturn] Function must has 'return' statement, but missing in function 'flatten' at /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640. FuncGraph: ↓check_dim_valid_192, location: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/function/array_func.py:1640~1735 def flatten(input, order='C', *, start_dim=1, end_dim=-1): ^ We will add a 'return None' statement automatically. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.036.427 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: remove_not_recompute_node, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.036.493 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.cell_reuse_handle_not_recompute_node_pass.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.036.540 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_recompute_call_nodes [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.036.582 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_recompute_call_nodes.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.036.623 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.before_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.036.661 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_before_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.037.566 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.before_grad.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.037.645 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.set_forward_comm_id_for_comm_node_pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.038.027 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.set_forward_comm_id_for_comm_node_pass.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.038.095 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.meta_fg_expand [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.038.502 [mindspore/ccsrc/frontend/optimizer/irpass/meta_fg_eliminate.cc:36] operator()] Start expanding meta: J [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.402.72 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.408.77 [mindspore/_extends/parse/namespace.py:132] 'Flatten' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.046.394 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6a780/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 1, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.046.656 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44819150/@↓flatten_253:CNode_254{[0]: CNode_255, [1]: CNode_256}, user size: 1, first user: @↓flatten_253:CNode_257{[0]: ValueNode Cond, [1]: CNode_254, [2]: ValueNode false} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.046.809 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44806c80/@flatten_249:CNode_258{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode int}, user size: 1, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.046.930 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6a780/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 2, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.047.071 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b03b20/@↱↓flatten_259:CNode_260{[0]: CNode_261, [1]: CNode_262}, user size: 1, first user: @↱↓flatten_259:CNode_263{[0]: ValueNode Cond, [1]: CNode_260, [2]: ValueNode false} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.047.197 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6fea0/@flatten_249:param_start_dim, user size: 1, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.047.317 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6a780/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 3, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.047.475 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x448215b0/@2↱↓flatten_264:CNode_265{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_266}, user size: 1, first user: @2↱↓flatten_264:CNode_267{[0]: ValueNode Cond, [1]: CNode_265, [2]: ValueNode false} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.047.605 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x448067e0/@flatten_249:CNode_266{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode bool}, user size: 1, first user: @2↱↓flatten_264:CNode_265{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_266} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.047.716 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6ffa0/@flatten_249:param_end_dim, user size: 1, first user: @↱↓flatten_259:CNode_262{[0]: CNode_250, [1]: param_end_dim, [2]: CNode_258} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.047.835 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6a780/@flatten_249:CNode_250{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode isinstance}, user size: 4, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.048.025 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6fbd0/@flatten_249:param_order, user size: 1, first user: @2↓flatten_268:CNode_269{[0]: CNode_270, [1]: param_order} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.048.202 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6f700/@flatten_249:param_input, user size: 1, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.048.336 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6f700/@flatten_249:param_input, user size: 2, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.048.516 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6fea0/@flatten_249:param_start_dim, user size: 2, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.048.646 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6ffa0/@flatten_249:param_end_dim, user size: 2, first user: @↱↓flatten_259:CNode_262{[0]: CNode_250, [1]: param_end_dim, [2]: CNode_258} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.048.826 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b52180/@3↓flatten_271:CNode_272{[0]: CNode_273, [1]: param_start_dim, [2]: ValueNode 1}, user size: 1, first user: @3↓flatten_271:CNode_274{[0]: ValueNode Cond, [1]: CNode_272, [2]: ValueNode false} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.048.993 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a71a00/@flatten_249:CNode_275{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode rank_}, user size: 1, first user: @✓2↓flatten_276:x_rank{[0]: CNode_275, [1]: param_input} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.049.131 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6fad0/@3↓flatten_271:param_фinput, user size: 1, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.049.279 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a71560/@flatten_249:CNode_277{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 1, first user: @2✓2↓flatten_278:CNode_279{[0]: CNode_277, [1]: param_input, [2]: CNode_280} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.049.428 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6fad0/@3↓flatten_271:param_фinput, user size: 2, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.049.682 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b50a90/@3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput}, user size: 1, first user: @✓3↓flatten_281:CNode_282{[0]: CNode_283, [1]: x_rank, [2]: CNode_284} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.049.837 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6fea0/@flatten_249:param_start_dim, user size: 3, first user: @↓flatten_253:CNode_256{[0]: CNode_250, [1]: param_start_dim, [2]: CNode_258} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.050.077 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b8cd40/@check_axis_valid_285:CNode_286{[0]: CNode_287, [1]: param_axis, [2]: CNode_288}, user size: 1, first user: @check_axis_valid_285:CNode_289{[0]: ValueNode Cond, [1]: CNode_286, [2]: ValueNode false} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.050.198 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b8ae90/@check_axis_valid_285:param_ndim, user size: 1, first user: @check_axis_valid_285:CNode_288{[0]: CNode_290, [1]: param_ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.050.306 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b8ac40/@check_axis_valid_285:param_axis, user size: 1, first user: @check_axis_valid_285:CNode_286{[0]: CNode_287, [1]: param_axis, [2]: CNode_288} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.050.518 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b7e370/@canonicalize_axis_291:param_x_rank, user size: 1, first user: @canonicalize_axis_291:CNode_292{[0]: CNode_293, [1]: param_x_rank, [2]: ValueNode 0} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.050.676 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b55c80/@canonicalize_axis_291:param_axis, user size: 1, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.050.807 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b55c80/@canonicalize_axis_291:param_axis, user size: 2, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.050.943 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b7f9a0/@canonicalize_axis_291:ndim{[0]: CNode_295}, user size: 1, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.051.054 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b55c80/@canonicalize_axis_291:param_axis, user size: 3, first user: @canonicalize_axis_291:CNode_294{[0]: ValueNode check_axis_valid_285, [1]: param_axis, [2]: ndim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.051.217 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b50a90/@3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput}, user size: 2, first user: @✓3↓flatten_281:CNode_282{[0]: CNode_283, [1]: x_rank, [2]: CNode_284} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.051.337 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6ffa0/@flatten_249:param_end_dim, user size: 3, first user: @↱↓flatten_259:CNode_262{[0]: CNode_250, [1]: param_end_dim, [2]: CNode_258} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.051.453 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b82bc0/ValueNode canonicalize_axis_291, user size: 1, first user: @4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.051.633 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b50a90/@3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput}, user size: 3, first user: @✓3↓flatten_281:CNode_282{[0]: CNode_283, [1]: x_rank, [2]: CNode_284} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.051.777 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6fad0/@3↓flatten_271:param_фinput, user size: 3, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.051.921 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a71560/@flatten_249:CNode_277{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 2, first user: @2✓2↓flatten_278:CNode_279{[0]: CNode_277, [1]: param_input, [2]: CNode_280} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.052.134 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b5e7f0/@4↓flatten_296:end_dim{[0]: ValueNode canonicalize_axis_291, [1]: param_end_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.052.295 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b5ec90/@4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank}, user size: 1, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.052.426 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6fad0/@3↓flatten_271:param_фinput, user size: 4, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.052.600 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b5ec90/@4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.052.783 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b5e7f0/@4↓flatten_296:end_dim{[0]: ValueNode canonicalize_axis_291, [1]: param_end_dim, [2]: x_rank}, user size: 2, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.052.935 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b6a450/@↵6↓flatten_299:CNode_300{[0]: ValueNode Return, [1]: CNode_301}, user size: 1, first user: ValueNode ↵6↓flatten_299 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.053.088 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b69f90/@↵6↓flatten_299:param_фidx, user size: 1, first user: @↵6↓flatten_299:CNode_302{[0]: CNode_303, [1]: param_фidx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.053.265 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b69f90/@↵6↓flatten_299:param_фidx, user size: 2, first user: @↵6↓flatten_299:CNode_302{[0]: CNode_303, [1]: param_фidx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.053.414 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6fad0/@3↓flatten_271:param_фinput, user size: 5, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.053.548 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6fad0/@3↓flatten_271:param_фinput, user size: 6, first user: @3↓flatten_271:x_rank{[0]: CNode_275, [1]: param_фinput} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.053.691 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a71560/@flatten_249:CNode_277{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode reshape_}, user size: 3, first user: @2✓2↓flatten_278:CNode_279{[0]: CNode_277, [1]: param_input, [2]: CNode_280} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.053.882 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b50f20/@3↓flatten_271:x_shape{[0]: CNode_304, [1]: param_фinput}, user size: 1, first user: @↻6↓flatten_305:CNode_306{[0]: CNode_307, [1]: x_shape, [2]: param_фidx} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.054.054 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b5ec90/@4↓flatten_296:idx{[0]: ValueNode canonicalize_axis_291, [1]: param_start_dim, [2]: x_rank}, user size: 3, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.054.208 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b6a1c0/@↵6↓flatten_299:param_фdim_length, user size: 1, first user: @↻6↓flatten_305:dim_length{[0]: CNode_308, [1]: param_фdim_length, [2]: CNode_306} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.054.361 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b50f20/@3↓flatten_271:x_shape{[0]: CNode_304, [1]: param_фinput}, user size: 2, first user: @↻6↓flatten_305:CNode_306{[0]: CNode_307, [1]: x_shape, [2]: param_фidx} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.054.602 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b5e7f0/@4↓flatten_296:end_dim{[0]: ValueNode canonicalize_axis_291, [1]: param_end_dim, [2]: x_rank}, user size: 3, first user: @4↓flatten_296:CNode_297{[0]: ValueNode check_dim_valid_298, [1]: idx, [2]: end_dim} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.054.746 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6f700/@flatten_249:param_input, user size: 3, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.054.923 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44ba5b30/@✓2↓flatten_276:x_rank{[0]: CNode_275, [1]: param_input}, user size: 1, first user: @✓2↓flatten_276:CNode_309{[0]: CNode_310, [1]: x_rank, [2]: CNode_311} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.055.073 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44805ea0/@flatten_249:CNode_312{[0]: ValueNode resolve, [1]: ValueNode SymbolStr: 'Namespace:mindspore.ops.function.array_func', [2]: ValueNode ops}, user size: 1, first user: @↓✓2↓flatten_313:CNode_314{[0]: ValueNode getattr, [1]: CNode_312, [2]: ValueNode tuple_reversed} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.055.221 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44a6f700/@flatten_249:param_input, user size: 4, first user: @flatten_249:CNode_251{[0]: CNode_250, [1]: param_input, [2]: CNode_252} [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.055.341 [mindspore/core/ir/graph_utils.cc:376] SuccToGenUsers] Already has user node, key: __NODE_USER__0x44a29510, node: 0x44b4fe60/@3↓flatten_271:CNode_315{[0]: ValueNode Return, [1]: CNode_316}, user size: 1, first user: ValueNode 3↓flatten_271 [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.055.953 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [bprop_depend_420] Added global python symbol: {C : } [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.056.621 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_resolve.r1.j0.resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.056.728 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_resolve_r1_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.056.771 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.057.790 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.057.872 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.057.929 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.057.970 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_resolve.r1.j0.resolve.changed [INFO] PARSER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.063.161 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [bprop_load_421] Added global python symbol: {C : } [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.063.798 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_resolve.r1.j0.resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.063.903 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_resolve_r1_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.063.969 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.064.834 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.064.910 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.064.963 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.065.000 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_resolve.r1.j0.resolve.changed [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.069.820 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_equal_string_317] Added global python symbol: {F : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.082.707 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_number_in_tuple_319] Added global python symbol: {F : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.083.746 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_number_in_tuple_319] Added global python symbol: {InSequence : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.084.296 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_number_in_tuple_319] Added global python symbol: {const_utils : } [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.088.718 [mindspore/ccsrc/frontend/optimizer/irpass/meta_fg_eliminate.cc:39] operator()] End expanding meta: J, change: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.088.831 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.meta_fg_expand.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.088.895 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.flash_sp_send_recv_attached [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.088.944 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.flash_sp_send_recv_attached.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.088.986 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.receive_attached [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.089.077 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.receive_attached.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.089.121 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.after_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.089.157 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_after_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.091.292 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.after_resolve.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.091.401 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_after_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.091.448 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_a_after_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.094.676 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_after_grad.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.094.797 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.renormalize [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.968.70 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.105.072 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.105.802 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.106.399 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.107.306 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:433] Eval] Add root_func_graph_backup [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.107.473 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.108.611 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.110.125 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.117.911 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.118.701 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.119.168 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.120.304 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.121.276 [mindspore/_extends/parse/namespace.py:132] 'ReLU' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.122.572 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.129.233 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.129.872 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.130.309 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.131.091 [mindspore/_extends/parse/namespace.py:132] 'Dense' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.132.660 [mindspore/_extends/parse/namespace.py:132] 'SoftmaxCrossEntropyWithLogits' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.133.457 [mindspore/_extends/parse/namespace.py:132] 'SoftmaxCrossEntropyWithLogits' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.134.157 [mindspore/_extends/parse/namespace.py:132] 'SoftmaxCrossEntropyWithLogits' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.135.344 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.148.188 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_322, [1]: param_gradients} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.148.679 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_323, [1]: gradients} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.149.087 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_324, [1]: gradients} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.149.489 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_optim_momentum_Momentum_construct_321 update var `gradients` with node @mindspore_nn_optim_momentum_Momentum_construct_321:gradients{[0]: CNode_325, [1]: gradients} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.150.595 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1133] ParseExpr] Isolated node found(NoReturn), no_return_node: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_326{[0]: CNode_327, [1]: CNode_328, [2]: CNode_329}, block: 0x44661af0/mindspore_nn_optim_momentum_Momentum_construct_321, Line: In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/nn/optim/momentum.py:212, 8~74/ self.assignadd(self.global_step, self.global_step_increase_tensor)/ [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.151.545 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_optim_momentum_Momentum_construct_321] Added global python symbol: {F : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.151.967 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_optim_momentum_Momentum_construct_321] Added global python symbol: {_momentum_opt : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.153.364 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:5147] AttachIsolatedNodes] Attached for side-effect nodes, depend_node: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_330{[0]: ValueNode Depend, [1]: CNode_331, [2]: CNode_332}, state: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_326{[0]: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_327{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.optim.momentum..', [2]: ValueNode assignadd}, [1]: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_328{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.optim.momentum..', [2]: ValueNode global_step}, [2]: @mindspore_nn_optim_momentum_Momentum_construct_321:CNode_329{[0]: ValueNode resolve, [1]: ValueNode ClassMember: 'Namespace:mindspore.nn.optim.momentum..', [2]: ValueNode global_step_increase_tensor}} [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.155.025 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.164.598 [mindspore/ccsrc/pipeline/jit/ps/action.cc:316] AbstractAnalyze] function call depth: 0, simulate call depth: 0 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.165.288 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:313] Run] Specialize set top func graph context: {FuncGraph: 1_mindspore_train_dataset_helper__DataWrapper_construct_355 Args: [0]: AbstractRefTensor(key: conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [1]: AbstractRefTensor(key: conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [2]: AbstractRefTensor(key: fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [3]: AbstractRefTensor(key: fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [4]: AbstractRefTensor(key: fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [5]: AbstractRefTensor(key: fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [6]: AbstractRefTensor(key: fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [7]: AbstractRefTensor(key: fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [8]: AbstractRefTensor(key: global_step, ref_value: AbstractRefTensor(shape: (1), element: AbstractScalar(Type: Int32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [9]: AbstractRefTensor(key: momentum, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [10]: AbstractRefTensor(key: learning_rate, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [11]: AbstractRefTensor(key: moments.conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [12]: AbstractRefTensor(key: moments.conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [13]: AbstractRefTensor(key: moments.fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [14]: AbstractRefTensor(key: moments.fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [15]: AbstractRefTensor(key: moments.fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [16]: AbstractRefTensor(key: moments.fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [17]: AbstractRefTensor(key: moments.fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [18]: AbstractRefTensor(key: moments.fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), Parent: } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.167.795 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {ops : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.168.236 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {_get_datatype : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.168.942 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {_cast_datatype : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.169.179 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {mstype : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.169.581 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333 update var `grads` with node @mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333:grads{[0]: CNode_334, [1]: CNode_335, [2]: param_grads} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.170.378 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [mindspore_nn_wrap_grad_reducer_DistributedGradReducer_construct_333] Added global python symbol: {reduce_opt : } [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.173.395 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.173.982 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.174.477 [mindspore/_extends/parse/namespace.py:132] 'TrainOneStepCell' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.180.656 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_ones_like_tensor_339] Added global python symbol: {P : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.188.106 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_env_get_341] Added global python symbol: {environ_get : Prim[EnvironGet]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.188.491 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_env_get_341] Added global python symbol: {ref_to_embed : Prim[RefToEmbed]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.188.845 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_env_get_341] Added global python symbol: {tensor_zeros_like : Prim[ZerosLike]} [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.204.021 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.211.780 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensors_get_datatype_344] Added global python symbol: {ops : } [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.221.432 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.renormalize.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.221.573 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.add_forward_monad_depend [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.222.164 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.add_forward_monad_depend.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.222.244 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.auto_monad_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.222.466 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.auto_monad_grad.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.222.519 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.auto_monad_eliminator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.224.920 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.auto_monad_eliminator.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.225.042 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.cse [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.226.169 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.226.893 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.227.273 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.228.006 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.228.940 [mindspore/_extends/parse/namespace.py:132] 'DistributedGradReducer' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.229.844 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.cse.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.229.968 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_3 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.230.015 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r1_a_3 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.230.061 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.232.326 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.232.430 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.234.479 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.234.588 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.236.581 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.236.664 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.235.332 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensors_cast_datatype_346] Added global python symbol: {ops : } [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.239.994 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.240.112 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.242.181 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.242.296 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.244.248 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.244.331 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.243.032 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [cast_347] Added global python symbol: {cast_op : Prim[Cast]} [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.246.167 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.246.252 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.248.139 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.248.231 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.250.032 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.250.117 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.251.906 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.251.994 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.253.960 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.254.066 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.256.776 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.256.889 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.258.850 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.258.933 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.260.762 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.260.840 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.262.705 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.262.795 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.264.657 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.264.750 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_3.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.264.815 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.expand_dump_flag [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.264.921 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.expand_dump_flag.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.264.962 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.264.996 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.267.300 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.switch_simplify.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.267.401 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.loop_unroll [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.267.447 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_loop_unroll [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.269.661 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.loop_unroll.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.269.764 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.269.806 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_a_1 [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.274.165 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensors_allreduce_349] Added global python symbol: {ops : } [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.324.569 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_1.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.324.706 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.invalid_dout_check [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.325.668 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.invalid_dout_check.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.325.761 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.recompute_prepare [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.325.804 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_recompute_prepare [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.326.149 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.recompute_prepare.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.326.200 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.updatestate_depend_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.326.555 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.updatestate_depend_eliminate.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.326.626 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.326.830 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.326.891 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.327.300 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.updatestate_loads_eliminate.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.327.374 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.parameter_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.327.412 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.parameter_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.327.446 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_2 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.327.480 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r2_a_2 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.327.530 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.327.812 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.327.868 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.328.138 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.328.182 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.328.447 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.328.497 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.328.764 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.328.815 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.329.082 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.329.132 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.329.424 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.329.474 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.329.763 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.329.809 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.330.092 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.330.138 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.330.442 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.331.268 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.331.778 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.330.543 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.330.608 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.331.011 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.331.059 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.331.336 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.331.378 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.331.666 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.331.708 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.331.986 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.332.025 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.332.292 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.332.334 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.332.609 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.332.658 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.332.873 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.332.991 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.333.040 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.333.339 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.333.388 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_2.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.333.446 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.accelerated_algorithm [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.333.484 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_accelerated_algorithm [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.334.096 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.333.873 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.accelerated_algorithm.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.333.938 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.shard [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.333.995 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:627] Shard] Shard pass starts. [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.334.026 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:630] Shard] Shard Prim don't exist, skip Shard pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.334.057 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.shard.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.334.093 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.meta_shard_fg_expand [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.334.258 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.meta_shard_fg_expand.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.334.306 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.shard_inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.334.340 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_shard_inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.334.687 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.shard_inline.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.334.750 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_send_recv [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.334.866 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.335.334 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.335.019 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_send_recv.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.335.079 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.auto_parallel [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.335.295 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 167 us [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.335.336 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.auto_parallel.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.335.380 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.parallel [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.335.442 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.parallel.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.335.486 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.flash_sp [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.335.555 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.flash_sp.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.335.594 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_comm [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.335.797 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_comm.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.335.838 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.allreduce_fusion [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.336.022 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.allreduce_fusion.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.336.069 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.matmul_add_comm_reduction [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.336.291 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.matmul_add_comm_reduction.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.336.361 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.allreduce_slice_to_reducescatter [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.336.392 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.allreduce_slice_to_reducescatter.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.336.426 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.virtual_shard_identity [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.336.461 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_virtual_shard_identity [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.336.809 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.virtual_shard_identity.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.336.870 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.virtual_dataset [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.336.907 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_virtual_dataset [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.337.231 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.virtual_dataset.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.337.295 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.get_grad_eliminate_ [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.337.328 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_get_grad_eliminate_ [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.337.644 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.get_grad_eliminate_.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.337.708 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.virtual_output [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.337.745 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_virtual_output [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.338.068 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.virtual_output.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.338.130 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_forward [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.338.339 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_forward.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.338.397 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.offload_activation [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.338.684 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.offload_activation.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.338.749 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.cell_reuse_recompute_pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.338.789 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.cell_reuse_recompute_pass.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.338.828 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.338.874 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r2_cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.338.909 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: remove_not_recompute_node [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.339.585 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: remove_not_recompute_node, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.339.655 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.cell_reuse_handle_not_recompute_node_pass.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.339.708 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_recompute_call_nodes [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.339.754 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_recompute_call_nodes.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.339.790 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.before_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.339.823 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_before_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.340.482 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.before_grad.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.340.555 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.set_forward_comm_id_for_comm_node_pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.340.814 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.set_forward_comm_id_for_comm_node_pass.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.340.875 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.meta_fg_expand [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.345.201 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.meta_fg_expand.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.345.327 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.flash_sp_send_recv_attached [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.345.375 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.flash_sp_send_recv_attached.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.345.416 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.receive_attached [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.345.458 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.receive_attached.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.345.492 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.after_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.345.525 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_after_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.345.986 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.after_resolve.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.346.051 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_after_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.346.087 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_a_after_grad [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.343.376 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.344.392 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.346.648 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_after_grad.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.346.722 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.renormalize [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.352.823 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:433] Eval] Add root_func_graph_backup [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.349.556 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.354.685 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.363.238 [mindspore/ccsrc/pipeline/jit/ps/action.cc:316] AbstractAnalyze] function call depth: 0, simulate call depth: 0 [INFO] ANALYZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.364.100 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:313] Run] Specialize set top func graph context: {FuncGraph: 263_1_mindspore_train_dataset_helper__DataWrapper_construct_433 Args: [0]: AbstractRefTensor(key: conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [1]: AbstractRefTensor(key: conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [2]: AbstractRefTensor(key: fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [3]: AbstractRefTensor(key: fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [4]: AbstractRefTensor(key: fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [5]: AbstractRefTensor(key: fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [6]: AbstractRefTensor(key: fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [7]: AbstractRefTensor(key: fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [8]: AbstractRefTensor(key: global_step, ref_value: AbstractRefTensor(shape: (1), element: AbstractScalar(Type: Int32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [9]: AbstractRefTensor(key: momentum, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [10]: AbstractRefTensor(key: learning_rate, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [11]: AbstractRefTensor(key: moments.conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [12]: AbstractRefTensor(key: moments.conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [13]: AbstractRefTensor(key: moments.fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [14]: AbstractRefTensor(key: moments.fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [15]: AbstractRefTensor(key: moments.fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [16]: AbstractRefTensor(key: moments.fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [17]: AbstractRefTensor(key: moments.fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), [18]: AbstractRefTensor(key: moments.fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x335d180, value: ValueAny), value: ValueAny, is_parameter), Parent: } [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.363.969 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.369.844 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:33.370.768 [mindspore/_extends/parse/namespace.py:132] 'Momentum' object has no attribute or method: '__is_tensors_queue__', so will return None. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.371.740 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.renormalize.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.371.869 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.add_forward_monad_depend [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.371.929 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.add_forward_monad_depend.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.371.972 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.auto_monad_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.372.008 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.auto_monad_grad.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.372.044 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.auto_monad_eliminator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.372.648 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.auto_monad_eliminator.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.372.731 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.cse [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.379.215 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [_tensor_run_opt_ext_353] Added global python symbol: {F : } [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.379.677 [mindspore/ccsrc/pipeline/jit/ps/parse/parse.cc:1363] ParseConstant] The Constant is bool:True [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.379.822 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.cse.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.379.930 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_3 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.379.976 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r2_a_3 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.380.017 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.380.345 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.380.395 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.380.683 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.380.730 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.381.022 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.381.074 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.381.395 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.381.448 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.381.749 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.381.800 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.382.091 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.382.142 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.382.463 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.382.525 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.382.818 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.382.869 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_3.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.382.927 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.expand_dump_flag [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.382.966 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.expand_dump_flag.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.383.007 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.383.046 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.383.386 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.switch_simplify.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.383.444 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.loop_unroll [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.383.480 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_loop_unroll [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.383.806 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.loop_unroll.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.383.861 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.383.900 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_a_1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.393.038 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_1.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.393.147 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.invalid_dout_check [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.393.453 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.invalid_dout_check.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.393.536 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.recompute_prepare [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.393.580 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_recompute_prepare [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.393.883 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.recompute_prepare.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.393.934 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.updatestate_depend_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.394.129 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.updatestate_depend_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.394.180 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.394.371 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.394.444 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.394.642 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.updatestate_loads_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.394.694 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.parameter_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.394.736 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.parameter_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.394.776 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_2 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.394.815 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r3_a_2 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.394.855 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.395.135 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.395.184 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.395.461 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.395.509 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.395.775 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.395.822 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.396.091 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.396.140 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.396.434 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.396.482 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.396.771 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.396.820 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.396.968 [mindspore/ccsrc/pipeline/jit/ps/action.cc:316] AbstractAnalyze] function call depth: 0, simulate call depth: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.397.097 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.397.137 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.397.143 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:313] Run] Specialize set top func graph context: {FuncGraph: mindspore_train_dataset_helper__DataWrapper_construct_354 Args: Parent: } [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.397.405 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.397.443 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.397.590 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @1_mindspore_train_dataset_helper__DataWrapper_construct_355:CNode_356{[0]: CNode_357}, flag: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.397.789 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.397.832 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.397.908 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @2_mindspore_train_dataset_helper__DataWrapper_construct_358:CNode_359{[0]: ValueNode MetaFuncGraph-unpack_call.7, [1]: CNode_360, [2]: outputs}, flag: 1 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.398.216 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @3_UnpackCall_361:CNode_362{[0]: param_Parameter_363, [1]: CNode_364, [2]: CNode_365}, flag: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.398.221 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.398.261 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.398.510 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @4_mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_366:CNode_367{[0]: ValueNode ✓mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_368}, flag: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.398.550 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.398.591 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.398.771 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @5_✓mindspore_nn_wrap_cell_wrapper_TrainOneStepCell_construct_369:CNode_370{[0]: ValueNode MetaFuncGraph-unpack_call.10, [1]: CNode_371, [2]: CNode_372}, flag: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.398.886 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.398.929 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.399.124 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @6_UnpackCall_373:CNode_374{[0]: param_Parameter_375, [1]: CNode_376, [2]: CNode_377}, flag: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.399.204 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.399.242 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.399.492 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @7__no_sens_impl_378:CNode_379{[0]: ValueNode ✗_no_sens_impl_380}, flag: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.399.509 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.399.547 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.399.711 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @8_✗_no_sens_impl_381:CNode_382{[0]: ValueNode ↓_no_sens_impl_383}, flag: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.399.816 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.399.871 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.399.962 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @9_↓_no_sens_impl_384:CNode_385{[0]: ValueNode ✗↓_no_sens_impl_386}, flag: 1 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.400.184 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @10_✗↓_no_sens_impl_387:CNode_388{[0]: ValueNode 2↓_no_sens_impl_389}, flag: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.400.196 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.400.234 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.400.421 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @9_↓_no_sens_impl_384:loss{[0]: ValueNode Depend, [1]: loss, [2]: CNode_390}, flag: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.400.549 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.400.578 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @9_↓_no_sens_impl_384:CNode_390{[0]: CNode_391, [1]: grads}, flag: 1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.400.592 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_2.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.400.640 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.accelerated_algorithm [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.400.684 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_accelerated_algorithm [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.400.884 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.400.962 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.026 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.088 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.148 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.208 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.401.063 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.accelerated_algorithm.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.401.113 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.shard [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.401.146 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:627] Shard] Shard pass starts. [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.401.176 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:630] Shard] Shard Prim don't exist, skip Shard pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.401.202 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.shard.unchanged [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.267 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.401.234 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.meta_shard_fg_expand [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.327 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.401.357 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.meta_shard_fg_expand.unchanged [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.438 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.510 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.595 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.663 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.730 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.795 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.863 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.401.932 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.402.002 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.401.404 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.shard_inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.401.448 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_shard_inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.401.766 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.shard_inline.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.401.811 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_send_recv [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.402.052 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_send_recv.unchanged [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.402.066 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.402.099 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.auto_parallel [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.402.125 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.402.184 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.402.244 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.402.305 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 166 us [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.402.305 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.402.351 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.auto_parallel.changed [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.402.381 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.402.396 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.parallel [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.402.463 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for _no_sens_impl_11, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.402.491 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.parallel.changed [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.402.541 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.flash_sp [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.402.579 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.flash_sp.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.402.618 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_comm [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.402.834 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_comm.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.402.885 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.allreduce_fusion [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.403.083 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.allreduce_fusion.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.403.133 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.matmul_add_comm_reduction [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.403.373 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.matmul_add_comm_reduction.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.403.428 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.allreduce_slice_to_reducescatter [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.403.463 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.allreduce_slice_to_reducescatter.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.403.503 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.virtual_shard_identity [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.403.543 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_virtual_shard_identity [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.403.888 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.virtual_shard_identity.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.403.941 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.virtual_dataset [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.403.974 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_virtual_dataset [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.404.272 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.virtual_dataset.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.404.325 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.get_grad_eliminate_ [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.404.358 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_get_grad_eliminate_ [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.404.673 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.get_grad_eliminate_.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.404.726 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.virtual_output [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.404.761 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_virtual_output [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.405.081 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.virtual_output.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.405.169 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_forward [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.405.375 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_forward.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.405.436 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.offload_activation [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.405.687 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.offload_activation.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.405.741 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.cell_reuse_recompute_pass [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.405.711 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_50, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.405.781 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.cell_reuse_recompute_pass.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.405.818 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.cell_reuse_handle_not_recompute_node_pass [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.405.819 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_50, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.405.852 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r3_cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.405.892 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: remove_not_recompute_node [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.405.912 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.405.974 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.406.037 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_40, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.406.126 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_40, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.406.188 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_40, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.406.266 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.406.326 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_39, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.408.406 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_69, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.408.576 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_69, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.408.672 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.408.735 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.408.796 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_59, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.408.887 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_59, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.408.949 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_59, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.409.028 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.409.092 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_58, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.410.147 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: remove_not_recompute_node, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.410.315 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.cell_reuse_handle_not_recompute_node_pass.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.410.381 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_recompute_call_nodes [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.410.479 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_recompute_call_nodes.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.410.524 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.before_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.410.569 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_before_grad [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.411.157 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_88, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.411.263 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ✓↓mindspore_nn_layer_basic_Dense_construct_88, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.411.353 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.411.416 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.411.506 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_78, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.411.597 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_78, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.411.660 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓mindspore_nn_layer_basic_Dense_construct_78, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.411.748 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.411.737 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.before_grad.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.411.800 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.set_forward_comm_id_for_comm_node_pass [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.411.807 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_basic_Dense_construct_77, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.412.326 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.set_forward_comm_id_for_comm_node_pass.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.412.389 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.meta_fg_expand [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.412.764 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.meta_fg_expand.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.412.828 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.flash_sp_send_recv_attached [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.412.873 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.flash_sp_send_recv_attached.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.412.912 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.receive_attached [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.412.973 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.receive_attached.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.413.013 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.after_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.413.055 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_after_resolve [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.413.499 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.after_resolve.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.413.566 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_after_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.413.604 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_a_after_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.414.148 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_after_grad.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.414.215 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.renormalize [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.414.252 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.renormalize.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.414.296 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.add_forward_monad_depend [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.414.350 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.add_forward_monad_depend.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.414.397 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.auto_monad_grad [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.414.459 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.auto_monad_grad.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.414.513 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.auto_monad_eliminator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.415.188 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.auto_monad_eliminator.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.415.283 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.cse [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.416.395 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.cse.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.416.499 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_3 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.416.546 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r3_a_3 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.416.596 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.416.919 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.416.974 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.417.259 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.417.346 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.417.647 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.417.702 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.417.991 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.418.041 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.418.342 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.418.390 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.418.389 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_392, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.418.519 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_392, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.418.604 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_392, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.418.696 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.418.742 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.419.018 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.419.065 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.419.355 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.419.406 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_3.unchanged [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.419.464 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass opt_a end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.419.509 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass py_interpret_to_execute_after_opt_a start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.420.006 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass py_interpret_to_execute_after_opt_a end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.420.074 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass slice_cell_reuse_recomputed_activation start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.420.115 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass slice_cell_reuse_recomputed_activation end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.420.156 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass rewriter_after_opt_a start ... [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.420.606 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_393, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.420.710 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_393, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.420.793 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_layer_conv_Conv2d_construct_393, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.423.545 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass rewriter_after_opt_a end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.423.658 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass convert_after_rewriter start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.423.945 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass convert_after_rewriter end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.424.024 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass order_py_execute_after_rewriter start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.424.204 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass order_py_execute_after_rewriter end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.424.253 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass opt_b start ... [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.424.320 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.b_1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.424.366 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_b_r1_b_1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.424.411 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: zero_like_fill_zero [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.424.726 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: zero_like_fill_zero, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.424.781 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: list_to_tuple_eliminator_ [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.425.064 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: list_to_tuple_eliminator_, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.425.115 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_to_list_eliminator_ [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.425.403 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_to_list_eliminator_, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.425.451 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.425.772 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.425.835 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_const_eliminator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.426.125 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_const_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.426.181 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.426.478 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.426.537 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_set_item_eliminator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.426.842 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.426.888 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_depend_reorder [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.427.186 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_depend_reorder, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.427.259 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_convert_item_index_to_positive [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.427.566 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_convert_item_index_to_positive, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.427.624 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: make_slice_get_slice_eliminator [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.427.927 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: make_slice_get_slice_eliminator, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.427.982 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.428.283 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.428.331 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reset_defer_inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.428.603 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reset_defer_inline, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.428.659 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.428.957 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.429.003 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.429.381 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.429.437 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_pure_node_eliminater [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.429.784 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_pure_node_eliminater, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.429.838 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: load_eliminater [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.430.153 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: load_eliminater, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.430.201 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: redundant_stop_gradient_eliminater [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.430.494 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: redundant_stop_gradient_eliminater, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.430.540 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: special_op_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.430.832 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: special_op_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.430.885 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: dumpgradient_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.431.198 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: dumpgradient_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.431.250 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.431.534 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.431.590 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_add_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.431.882 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_add_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.431.927 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_set_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.432.200 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_set_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.432.243 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_depend_swap [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.432.523 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_depend_swap, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.432.571 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_add_const_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.432.865 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_add_const_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.432.916 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: value_based_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.433.210 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: value_based_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.433.258 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: parallel_virtual_node [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.433.549 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: parallel_virtual_node, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.433.598 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: const_output_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.433.875 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: const_output_eliminate, change: 0 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.433.928 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.b_1.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.433.983 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.b_2 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.434.031 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_b_r1_b_2 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.434.369 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.b_2.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.434.847 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.updatestate_depend_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.435.163 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.updatestate_depend_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.435.226 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.435.413 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.435.462 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.435.653 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.updatestate_loads_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.435.703 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.renormalize [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.435.737 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.renormalize.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.435.771 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.cse [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.436.537 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.cse.unchanged [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.436.622 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass opt_b end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.436.672 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass optimize_parallel_all_gather_comm start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.437.146 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OptimizeParallelAllGatherComm [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.437.200 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass optimize_parallel_all_gather_comm end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.437.246 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_param_gather start ... [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.437.306 [mindspore/ccsrc/frontend/parallel/pass/overlap_param_gather.cc:151] OverlapParamGather] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.437.340 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_param_gather end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.437.380 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass cconv start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.437.612 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass cconv end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.437.656 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass loop_unroll start ... [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.439.424 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start loop_unroll_optimizer.r1.j0.loop_unroll [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.439.525 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, loop_unroll_optimizer_r1_loop_unroll [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.439.945 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End loop_unroll_optimizer.r1.j0.loop_unroll.unchanged [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.440.021 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass loop_unroll end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.440.086 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass opt_after_cconv start ... [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.440.132 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.c_1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.440.174 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_after_cconv_r1_c_1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.442.007 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.c_1.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.442.101 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.parameter_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.442.147 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.parameter_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.442.187 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.updatestate_depend_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.442.527 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.updatestate_depend_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.442.593 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.442.790 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.442.839 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.443.030 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.updatestate_loads_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.443.083 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.cse [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.443.840 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.cse.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.443.922 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.renormalize [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.443.964 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.renormalize.unchanged [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.444.008 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass opt_after_cconv end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.444.051 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass remove_dup_value start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.445.219 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass remove_dup_value end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.445.321 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass tuple_transform start ... [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.445.389 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_trans_graph.r1.j0.d_1 [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.445.435 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_trans_graph_r1_d_1 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.445.961 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @198_mindspore_nn_optim_momentum_Momentum_construct_394:CNode_395{[0]: ValueNode Depend, [1]: CNode_396, [2]: CNode_397}, flag: 1 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.446.123 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @198_mindspore_nn_optim_momentum_Momentum_construct_394:CNode_396{[0]: ValueNode ✗mindspore_nn_optim_momentum_Momentum_construct_398}, flag: 1 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.446.300 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_global_step, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.446.368 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_global_step, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.446.468 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_global_step, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.446.747 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @199_✗mindspore_nn_optim_momentum_Momentum_construct_399:CNode_400{[0]: ValueNode 2✗mindspore_nn_optim_momentum_Momentum_construct_401}, flag: 1 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.447.000 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @200_2✗mindspore_nn_optim_momentum_Momentum_construct_402:CNode_403{[0]: ValueNode ↓✗mindspore_nn_optim_momentum_Momentum_construct_404}, flag: 1 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.447.219 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @201_↓✗mindspore_nn_optim_momentum_Momentum_construct_405:CNode_406{[0]: ValueNode ↓mindspore_nn_optim_momentum_Momentum_construct_407}, flag: 1 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.447.490 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @200_2✗mindspore_nn_optim_momentum_Momentum_construct_402:success{[0]: ValueNode MetaFuncGraph-hyper_map.351, [1]: CNode_408, [2]: gradients, [3]: params, [4]: moments}, flag: 1 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.447.711 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:1110] GetIgnoreBuildValueFlag] Don't build value node for CNode which contains isolated side-effect inputs, node: @200_2✗mindspore_nn_optim_momentum_Momentum_construct_402:CNode_409{[0]: ValueNode Partial, [1]: ValueNode MetaFuncGraph-S-signature.352, [2]: CNode_410, [3]: CNode_411, [4]: lr}, flag: 1 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.447.875 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.447.947 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.447.875 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_trans_graph.r1.j0.d_1.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.447.966 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_trans_graph.r1.j0.renormalize [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.448.002 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_trans_graph.r1.j0.renormalize.unchanged [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.015 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.448.043 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass tuple_transform end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.448.083 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass partial_unused_args_eliminate start ... [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.079 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.448.122 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass partial_unused_args_eliminate end. [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.142 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.448.157 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_cache_embedding start ... [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.207 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.272 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.335 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.472 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.544 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.610 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.weight, NodeInfo: [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.448.578 [mindspore/ccsrc/frontend/parallel/cache_embedding/cache_embedding.cc:720] AddCacheEmbedding] Parameters are all not cache enable. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.448.644 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_cache_embedding end. [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.676 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.bias, NodeInfo: [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.448.686 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_recomputation start ... [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.755 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.820 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.886 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.448.955 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.102 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.174 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.241 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.306 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.371 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.438 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.505 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.592 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.669 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.734 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc3.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.793 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.852 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.917 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.449.980 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.fc1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.043 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.109 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_moments.conv1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.275 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.358 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.462 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.542 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.610 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.679 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.745 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.807 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.875 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.bias, NodeInfo: [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.450.681 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_recomputation end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.450.777 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass cse_after_recomputation start ... [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.450.836 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_recompute.r1.j0.cse [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.933 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc3.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.450.991 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.451.050 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.451.110 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.bias, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.451.184 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_fc1.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.451.242 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv2.weight, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.451.304 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_conv1.weight, NodeInfo: [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.451.411 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_recompute.r1.j0.cse.unchanged [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.451.477 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass cse_after_recomputation end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.451.519 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass environ_conv start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.451.716 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass environ_conv end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.451.760 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass swap_dp_allreduce_reducescatter start ... [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.451.755 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.451.837 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for 2✗mindspore_nn_optim_momentum_Momentum_construct_401, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.017 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass swap_dp_allreduce_reducescatter end. [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.452.035 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.065 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass bias_add_comm_swap start ... [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.452.103 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for mindspore_nn_optim_momentum_Momentum_construct_321, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_momentum, NodeInfo: [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.125 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass bias_add_comm_swap end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.162 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass label_micro_interleaved_index start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.223 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass label_micro_interleaved_index end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.260 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass label_fine_grained_interleaved_index start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.317 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass label_fine_grained_interleaved_index end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.355 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass merge_cast_opt start ... [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.385 [mindspore/ccsrc/frontend/parallel/pass/merge_cast_opt.cc:59] IsStepIn] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.417 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass merge_cast_opt end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.455 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass slice_recompute_activation start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.485 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass slice_recompute_activation end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.516 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass micro_interleaved_order_control start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.550 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass micro_interleaved_order_control end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.582 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass assign_add_opt start ... [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.705 [mindspore/ccsrc/frontend/parallel/pass/assign_add_opt.cc:372] IsNeedOptimizeAssignAdd] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.744 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass assign_add_opt end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.783 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass ForceFp32Comm start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.817 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass ForceFp32Comm end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.855 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass remove_cast_before_assign_add start ... [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.911 [mindspore/ccsrc/frontend/parallel/pass/remove_cast_before_assign_add.cc:45] RemoveCastBeforeAssignAdd] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.948 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass remove_cast_before_assign_add end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.452.983 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass full_micro_interleaved_order_control start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.040 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass full_micro_interleaved_order_control end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.079 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass reorder_send_recv_between_fp_bp start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.117 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass reorder_send_recv_between_fp_bp end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.155 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass comm_op_add_attrs start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.192 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass comm_op_add_attrs end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.229 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_comm_op_reuse_tag start ... [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.263 [mindspore/ccsrc/frontend/optimizer/comm_op_reuse_tag.cc:67] AddCommOpReuseTag] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.315 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_comm_op_reuse_tag end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.356 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass interleave_split_concat_branches start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.406 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass interleave_split_concat_branches end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.439 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass interleave_parallel_branches start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.472 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass interleave_parallel_branches end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.502 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_opt_shard_in_pipeline start ... [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.551 [mindspore/ccsrc/frontend/parallel/pass/overlap_opt_shard_in_pipeline.cc:100] OverlapOptShardInPipeline] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.581 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_opt_shard_in_pipeline end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.614 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_opt_shard_grad_in_pipeline start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.652 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_opt_shard_grad_in_pipeline end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.453.689 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass control_data_broadcast_order start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.152 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: ControlDataBroadcastOrderPass [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.211 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass control_data_broadcast_order end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.259 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass grouped_pairwise_exchange_alltoall start ... [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.295 [mindspore/ccsrc/frontend/optimizer/grouped_pairwise_exchange_alltoall.cc:695] SetGroupedPairwiseExchangeAllToAll] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.330 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass grouped_pairwise_exchange_alltoall end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.369 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass offloading_packed_experts start ... [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.408 [mindspore/ccsrc/frontend/parallel/pass/offloading_packed_expert.cc:763] SetOffloadingPackedExpert] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.557 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OffloadingPackedExpertFrontPass2 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.601 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass offloading_packed_experts end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.642 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_recompute_and_grad_model_parallel start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.823 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OverlapRecomputeAndGradModelParallel [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.863 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_recompute_and_grad_model_parallel end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.903 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_grad_matmul_and_grad_allreduce start ... [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.941 [mindspore/ccsrc/frontend/parallel/pass/overlap_gradmatmul_and_gradallreduce.cc:273] OverlapGradMatmulAndGradAllreduce] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.454.971 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_grad_matmul_and_grad_allreduce end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.455.010 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_recompute_allgather_and_fa_grad start ... [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.455.048 [mindspore/ccsrc/frontend/parallel/pass/overlap_recompute_allgather_and_flashattention_grad.cc:193] OverlapRecomputeAllGatherAndFlashAttentionGrad] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.455.084 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_recompute_allgather_and_fa_grad end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.455.119 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_recompute_comm start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.455.159 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_recompute_comm end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.455.195 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_grad_ring_attention start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.455.344 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OverlapGradRingAttentionPass [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.455.384 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_grad_ring_attention end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.455.427 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_grad_flash_sp start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.013 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OverlapGradFlashSP [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.072 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_grad_flash_sp end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.112 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass begin_end_overlap_inline start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.143 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass begin_end_overlap_inline end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.175 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass split_matmul_comm_elemetwise start ... [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.226 [mindspore/ccsrc/frontend/parallel/pass/split_matmul_comm_elementwise_fp.cc:200] SplitMatmulCommElementwiseFp] SplitMatmulCommElementwiseFp is only support under [semi_]auto_parallel, skip it. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.257 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass split_matmul_comm_elemetwise end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.315 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass split_layernorm_comm start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.347 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass split_layernorm_comm end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.387 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass handle_group_info start ... [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.425 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass handle_group_info end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.466 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass symbol_engine_optimizer start ... [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.520 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.build [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.714 [mindspore/ccsrc/frontend/optimizer/irpass/symbol_engine_optimizer.cc:44] operator()] There is no dynamic shape node, the SymbolEngineBuilder is disabled. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.760 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.build.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.808 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.elim_shapecalc [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.456.853 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_elim_shapecalc [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.457.216 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.elim_shapecalc.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.457.268 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.elim_not_effective [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.457.310 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_elim_not_effective [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.457.955 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.elim_not_effective.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.458.014 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.opt_reshape [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.458.051 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_opt_reshape [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.458.390 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.opt_reshape.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.458.461 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.fold_const_symbol [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.458.505 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_fold_const_symbol [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.129 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.fold_const_symbol.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.198 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.renormalize [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.234 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.renormalize.unchanged [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.271 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass symbol_engine_optimizer end. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.335 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end optimize action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.386 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.444 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start detach_backward action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.477 [mindspore/ccsrc/pipeline/jit/ps/pass.cc:1625] DetachBackward] Only auto_parallel and semi_auto_parallel support detach backward graph. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.504 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end detach_backward action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.536 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.576 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start pipeline_parallel_scheduler action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.611 [mindspore/ccsrc/pipeline/jit/ps/pass.cc:1666] PipelineParallelScheduler] Only auto_parallel and semi_auto_parallel support pipeline split. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.641 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end pipeline_parallel_scheduler action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.676 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.459.712 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start auto_monad_reorder action. [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.459.766 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓get_lr_412, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.459.899 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for ↓get_lr_412, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.459.972 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:700] FirstPass] Used top func graph specializer as parent for get_lr_413, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.460.033 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:641] GetTopSpecializer] Used top func graph specializer as parent for get_lr_413, node: @mindspore_train_dataset_helper__DataWrapper_construct_354:param_learning_rate, NodeInfo: [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.460.406 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end auto_monad_reorder action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.460.474 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.460.533 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start get_jit_bprop_graph action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.460.573 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end get_jit_bprop_graph action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.460.607 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.460.650 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start rewriter_after_jit_bprop_graph action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.460.699 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end rewriter_after_jit_bprop_graph action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.460.733 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.460.774 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start opt_after_jit_grad action. [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.461.837 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_jit_grad.r1.j0.ad_related_special_op_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.461.931 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_after_jit_grad_r1_ad_related_special_op_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.462.706 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_jit_grad.r1.j0.ad_related_special_op_eliminate.unchanged [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.462.770 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_jit_grad.r1.j0.mutable_op_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.462.806 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_after_jit_grad_r1_mutable_op_eliminate [INFO] OPTIMIZER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.463.133 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_jit_grad.r1.j0.mutable_op_eliminate.unchanged [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.463.208 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end opt_after_jit_grad action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.463.268 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.463.328 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start distribtued_split action. [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.463.433 [mindspore/ccsrc/frontend/parallel/graph_util/graph_splitter.cc:389] GenerateStrategy] Current parallel mode is data_parallel [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.463.472 [mindspore/ccsrc/frontend/parallel/graph_util/graph_splitter.cc:401] GenerateStrategy] Generated distributed strategy is 1 [INFO] PARALLEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.464.326 [mindspore/ccsrc/frontend/parallel/graph_util/graph_splitter.cc:1293] Run] All nodes are on this process so there's no need to build and split distributed graph. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.464.420 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end distribtued_split action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.464.468 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.464.532 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start validate action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.465.396 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end validate action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.465.472 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PROFILER(1384455,ffffae59eec0,python):2025-07-15-11:45:33.465.610 [mindspore/ccsrc/plugin/device/ascend/hal/profiler/parallel_strategy_profiling.cc:49] IsProfilingParallelStrategyEnabled] Profiling parallel strategy is disabled. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.466.198 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start backend_pass action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.466.253 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end backend_pass action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.466.295 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.466.343 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start task_emit action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.467.381 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1716] SetRunMode] Run graph mode with kernel by kernel by configuration. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.467.518 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1850] TaskEmitAction] Use the new backend. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.467.731 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1747] Build] Status record: start compile function graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.468.267 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1764] Build] [PROF]InitCommGroup costs 0.339 msec. [INFO] DISTRIBUTED(1384455,ffffae59eec0,python):2025-07-15-11:45:33.468.382 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1094] WaitAllCommInitDone] All device communictor is initialized. You can launch communication operators after this step. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.468.431 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1768] Build] [PROF]WaitAllCommInit costs 0.1 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.468.962 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:542] IsEnableControlFlowInline] Disable switch inline, executor mode:1 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.469.055 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:372] DoUnifyMindIRPass] Do unify mindir pass for graph 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.469.125 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_pm_0_erase_invalid_micro_depend in 3.69 us [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.469.320 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:220] EnableKBKCompileCache] Disable backend compile cache by front config. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.470.164 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1791] Build] 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434, is_dynamic_graph: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.470.491 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:620] BuildSymbolEngine] Status record: skip build symbol engine for function graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 [INFO] VM(1384455,ffffae59eec0,python):2025-07-15-11:45:33.470.662 [mindspore/ccsrc/backend/graph_compiler/graph_partition.cc:854] Partition] GraphPartion Info: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 inline mode:0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.472.763 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:913] CompileGraph] Compile graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434, Split segments size: 2 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.472.933 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:857] CompileGraphFromSegment] Compile normal segment, the first node: @393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:equiv_6_CNode_435{[0]: ValueNode Load, [1]: param_fc3.bias, [2]: ValueNode U} [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.474.029 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:409] CompileGraph] Status record: start compile graph. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.474.185 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2257] ConstructKernelGraph] Set zero copy flag for graph:kernel_graph1 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.474.241 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2260] ConstructKernelGraph] Create graph: 1 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.474.630 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc3.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc3.bias [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.474.954 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc3.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc3.weight [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.475.175 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc2.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc2.bias [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.475.394 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc2.weight [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.475.597 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc1.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc1.bias [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.475.796 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc1.weight [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.476.012 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_conv2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_conv2.weight [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.476.250 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_conv1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_conv1.weight [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.478.828 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_global_step by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_global_step [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.478.956 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1156] CreateNewValueNode] Data sync for Tensor Tensor(shape=[1], dtype=Int32, value=[1]) [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.479.525 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1156] CreateNewValueNode] Data sync for Tensor Tensor(shape=[], dtype=Float32, value=0.25) [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.479.871 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc3.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc3.bias [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.480.027 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_learning_rate by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_learning_rate [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.480.169 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_momentum by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_momentum [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.480.814 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc3.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc3.weight [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.481.378 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc2.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc2.bias [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.481.946 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc2.weight [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.482.491 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc1.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc1.bias [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.483.068 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc1.weight [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.483.999 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.conv2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.conv2.weight [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.484.649 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.conv1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.conv1.weight [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.485.147 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:3531] ConstructOutput] Output:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:CNode_436{[0]: ValueNode Depend, [1]: loss, [2]: ValueNode_437} [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.486.375 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.487.459 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:417] CompileGraph] [PROF]ConstructKernelGraph costs 13.274 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.487.596 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:353] RecursiveSetRunMode] Kernel graph: kernel_graph1, set run mode:KernelMode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.488.180 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:188] EliminateIllegalDataTypePass] Start eliminate illegal data type for kernel graph id:1 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.488.508 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_0_convert_list_to_tuple in 193.371 us [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.488.555 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end type_inference action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.488.855 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2396 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.488.989 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start auto_monad action. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.489.854 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_1_eliminate_func_type in 1245.14 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.490.089 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:201] EliminateIllegalDataTypePass] [PROF]EliminateIllegalDataTypePass costs 1.906 msec. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.490.199 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:148] CommonUnifyMindIR] start common unify mindir opt graph:1 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.490.276 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: conv_transpose_to_conv_backprop_input [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.491.251 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_0_conv_transpose_to_conv_backprop_input in 946.958 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.491.330 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: custom_op_reg_info_to_attr [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.491.421 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_1_custom_op_reg_info_to_attr in 87.741 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.491.470 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Custom not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.491.504 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_2_inplace_assign_for_custom_op in 35.291 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.491.538 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_attr_to_unify_mindir [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.492.335 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/auto_monad.cc:808] TraceGetItemEffectInfo] CNode has no side effect: @245_grad_mindspore_nn_wrap_cell_wrapper_WithLossCell_construct_414:CNode_415{[0]: ValueNode TupleGetItem, [1]: CNode_416, [2]: ValueNode 1} [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.492.826 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_3_convert_attr_to_unify_mindir in 1247.76 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.493.052 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:161] CommonUnifyMindIR] [PROF]CommonUnifyMindIR costs 2.834 msec. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.493.164 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:78] BackendCommonOptimization] Status record: start common optimization. graph id: 1 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.493.278 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_dynamic_broadcast_to [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.494.125 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_0_convert_dynamic_broadcast_to in 821.947 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.495.528 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_1_convert_const_input_to_attr in 1278.61 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.496.678 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_2_custom_op_const_input_to_attr in 1017.24 us [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.496.910 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end auto_monad action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.497.338 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.497.439 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start graph_reusing action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.497.600 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end graph_reusing action. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.497.644 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_3_convert_const_input_to_tensor_input_for_print in 864.517 us [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.497.785 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.497.850 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start inline action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.497.888 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end inline action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.498.017 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.498.075 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start add_attr action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.498.199 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_attr_with_inline start ... [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.501.001 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_4_convert_tuple_output_to_maketuple in 3199.06 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.501.184 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_5_convert_unused_tuple_para_to_make_tuple in 39.63 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.501.233 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_6_flatten_concat_fission is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.502.213 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_6_flatten_concat_fission in 869.888 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.503.158 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_7_inset_input_structural_for_py_execute in 816.557 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.503.238 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_8_broadcast_to_fusion is enabled. [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.503.394 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [fill_417] Added global python symbol: {cast_ : Prim[Cast]} [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.503.870 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:154] WriteVariable] fill_417 update var `value` with node @fill_417:value{[0]: CNode_418, [1]: param_value, [2]: param_type} [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.504.112 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_8_broadcast_to_fusion in 807.227 us [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.504.420 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [fill_417] Added global python symbol: {fillv2_ : Prim[FillV2]} [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.505.359 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_9_add_attr_to_node in 1139.13 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.505.439 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_10_replace_addn is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.506.391 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_10_replace_addn in 867.028 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.506.684 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:90] BackendCommonOptimization] [PROF]BackendCommonOptimization costs 13.472 msec. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.511.879 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:97] BackendCommonOptimization] Status record: end common optimization. graph id: 1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.511.951 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start add_attr.r1.j0.tag_attr [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.512.083 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:255] OptimizationWithoutBackend] [PROF]OptimizationWithoutBackend costs 23.902 msec. [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:33.512.301 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:770] HandleAddAttr] HandleAddAttr pass start. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.512.572 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.512.716 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.514.140 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End add_attr.r1.j0.tag_attr.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.514.326 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start add_attr.r1.j0.meta_addattr_fg_expand [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.514.936 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_0_renorm_split in 1087.62 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.515.028 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: reduce_axis_update [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.515.316 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End add_attr.r1.j0.meta_addattr_fg_expand.unchanged [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.515.400 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_attr_with_inline end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.515.459 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end add_attr action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.515.674 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.515.759 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start parallel-infer-symbol action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.515.804 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end parallel-infer-symbol action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.515.938 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.516.002 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start pre_auto_parallel action. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.518.292 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_1_reduce_axis_update in 3180.63 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.518.408 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: space_to_batch_nd_attr_update [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.518.700 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_2_space_to_batch_nd_attr_update in 285.143 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.518.757 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: batch_to_space_nd_attr_update [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:33.518.713 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 2574 us [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.518.799 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end pre_auto_parallel action. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.518.830 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_3_batch_to_space_nd_attr_update in 66.251 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.519.198 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AdamWeightDecay not exist in name to cnode [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.519.197 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.519.245 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_4_adam_weight_decay_unify_mindir in 342.303 us [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.519.294 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start insert-virtual-dataset action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.519.345 [mindspore/ccsrc/pipeline/jit/ps/pipeline_split.cc:402] ParallelVirtualDataset] Only auto_parallel and semi_auto_parallel support it. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.519.380 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end insert-virtual-dataset action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.519.528 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.519.549 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_5_add_depend_for_adamw in 245.072 us [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.519.595 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start parallel-infer-symbol-second action. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.519.623 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:403] Run] Skip pass fail, run pass: grad_sparse_softmax_cross_entropy_with_logits_unify_mindir [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.519.633 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end parallel-infer-symbol-second action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.519.752 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.519.810 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start dataset_repeat_opt action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.519.850 [mindspore/ccsrc/pipeline/jit/ps/pass.cc:1604] DatasetRepeatReaderOptPass] Only auto_parallel and semi_auto_parallel support dataset repeat optimizer. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.519.882 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end dataset_repeat_opt action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.520.005 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.520.066 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start pipeline_split action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.520.110 [mindspore/ccsrc/pipeline/jit/ps/pipeline_split.cc:235] ValidateParallelContext] Only auto_parallel and semi_auto_parallel support pipeline split. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.520.176 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end pipeline_split action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.520.306 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 261, total nodes: 2734 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.520.373 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start optimize action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.520.699 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass py_interpret_to_execute start ... [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.521.133 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_6_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir in 1476.68 us [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.522.811 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass py_interpret_to_execute end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.522.910 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass rewriter_before_opt_a start ... [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.525.110 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_7_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir_v2 in 3808.54 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.526.216 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_8_sparse_softmax_cross_entropy_with_logits_unify_mindir in 948.129 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.527.256 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_9_dropout_ext_unify_mindir1 in 908.818 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.528.253 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_10_dropoutgrad_ext_unify_mindir in 860.617 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.529.249 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_11_dropout_unify_mindir1 in 871.228 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.529.337 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: dropoutgrad_unify_mindir [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.530.618 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_12_dropoutgrad_unify_mindir in 1236.76 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.530.856 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchange not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.530.914 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_13_neighbor_exchange_unify_mindir in 194.832 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.530.961 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2 not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.530.997 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_14_neighbor_exchange_v2_unify_mindir in 35.761 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.531.039 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2Grad not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.531.258 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_15_neighbor_exchange_v2_grad_unify_mindir in 40.41 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.531.354 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAll not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.531.442 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_16_all_to_all_unify_mindir in 111.86 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.531.499 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAllV not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.531.546 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_17_all_to_all_v_unify_mindir in 49.71 us [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.531.544 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass rewriter_before_opt_a end. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.531.622 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.531.665 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_18_bn_split in 67.731 us [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.531.670 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass opt_a start ... [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.531.701 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: bn_grad_unify_mindir [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.531.741 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.expand_dump_flag [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.531.913 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.expand_dump_flag.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.531.967 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.switch_simplify [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.532.018 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_switch_simplify [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.532.555 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_19_bn_grad_unify_mindir in 820.187 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.532.619 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.532.658 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_20_bn_grad_split in 40.86 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.532.742 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.532.788 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_21_batchnormgrad_to_bninfergrad in 80.11 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.532.840 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.532.882 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_22_batch_norm_grad_infer_fission in 49.87 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.532.925 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.532.963 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_23_batchnorm_to_bninfer in 37.39 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.533.018 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Print not exist in name to cnode [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.533.063 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_24_print_insert_placeholder_for_tensor_name in 52.851 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.533.122 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:403] Run] Skip pass fail, run pass: getnext_for_ge [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.534.351 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_25_getnext_for_ge in 1185.29 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.535.436 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_26_sync_bn_split in 948.278 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.536.458 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_27_sync_bn_grad_split in 871.678 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.537.208 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.switch_simplify.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.537.325 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.loop_unroll [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.537.373 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_loop_unroll [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.537.445 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_28_avg_pool_grad_for_ge in 849.798 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.539.261 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_29_add_attr_to_dump in 1690.2 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.541.168 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.loop_unroll.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.541.287 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.541.338 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_a_1 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.545.903 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_30_ascend_mindir_op_adapter in 6442.59 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.546.036 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.547.522 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission in 1381.87 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.547.615 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_1_cdist_fission is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.548.595 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_1_cdist_fission in 888.778 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.548.677 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_2_cdist_grad_fission is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.549.627 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_2_cdist_grad_fission in 859.118 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.549.703 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion is enabled. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.549.795 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.549.919 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.549.978 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion in 226.902 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.550.010 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion is enabled. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.550.065 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.550.147 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.550.193 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion in 145.441 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.550.246 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_5_lamb_fission_ge is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.551.311 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_5_lamb_fission_ge in 976.708 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.551.391 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.552.383 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion in 903.968 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.552.465 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.554.219 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion in 1638.63 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.554.325 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.556.410 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion in 1951.72 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.556.514 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.556.580 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:270] DefineFlashAttentionPattern] Do FlashAttentionPattern V1. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.558.490 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 in 1841.93 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.558.586 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.558.657 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:384] DefineFlashAttentionPattern] Do FlashAttentionPattern V2. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.560.543 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 in 1841.68 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.560.650 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.562.555 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion in 1781.88 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.562.659 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_12_MatMulAllReduce is enabled. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.563.711 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.563.897 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.564.117 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.564.217 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.564.391 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.564.479 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.325 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_12_MatMulAllReduce in 2565.15 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.393 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_13_grouped_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.427 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_14_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.458 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_15_MatMulAllReduceAddRmsNorm is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.487 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_16_add_layer_norm_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.517 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_17_add_layer_norm_v3_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.550 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_18_add_layer_norm_ext_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.583 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_19_inference_qbmm_add_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.630 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_20_inference_swiglu_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.660 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_21_inference_swiglu_fusion_v2 is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.694 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_22_inference_matmul_split_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.746 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_23_add_rms_norm_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.779 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_24_swiglu_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.814 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_25_swiglu_reshape_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.857 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_26_add_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.890 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_27_add_cast_rms_norm_cast_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.922 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_28_rms_norm_add_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.964 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_29_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.565.997 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_30_add_cast_rms_norm_cast_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.566.034 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_31_shape_reshape is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.566.068 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_32_split_concat_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.567.420 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_32_split_concat_fusion in 1241.17 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.567.520 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_33_quant_matmul_elemwise_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.567.556 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_34_matmul_sigmoid_add_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.567.586 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_35_matmul_sigmoid_cast_add_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.567.615 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_36_matmul_elemwise_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.567.644 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_37_qbmm_allreduce_convert_bias is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.567.673 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.569.613 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion in 1800.89 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.569.713 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_39_remove_fa_tensor_to_tuple_ops is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.569.751 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_40_transpose_batch_matmul_transpose_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.569.785 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_41_moe_init_routing_dyn_quantv2_fusion is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.569.815 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.570.848 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion in 945.828 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.571.147 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:243] GEUnifyMindIR] [PROF]GEUnifyMindIR costs 58.96 msec. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.573.746 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.575.361 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:39] MarkRefGraph] Mark graph is ref graph: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.575.744 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.575.813 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.575.855 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.575.895 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.575.935 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.575.976 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.576.018 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.576.058 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.576.098 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.579.046 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unfold_inputs_for_special_nodes_pm_0_ascend_convert_tuple_input_to_dynamic_input in 2760.77 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.580.361 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_0_process_call_inline in 895.138 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.582.956 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_1_seed_adapter in 2397.45 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.583.490 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_2_insert_tensor_move_for_communication in 404.024 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.584.479 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_3_process partial inline in 875.537 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.585.257 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_4_expander_fallback in 638.446 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.586.285 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_5_convert_pad_v3_paddings in 912.058 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.587.316 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_6_convert_pad_v3_grad_paddings in 899.568 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.589.194 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_7_resize_bilinear_add_attr in 1728.68 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.589.319 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_8_backend_custom_depend in 31.791 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.589.559 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:122] GEBackendOptimizeACL] [PROF]GEBackendOptimizeACL costs 10.156 msec. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.589.730 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:97] OptimizeACLGraph] [PROF]OptimizeACLGraph costs 14.402 msec. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.590.404 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.591.334 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.591.486 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.591.561 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.591.646 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.591.758 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] GetNext is not defined in opdef. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.592.123 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] GetNext select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.592.190 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.592.299 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.592.343 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.592.422 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.592.478 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.592.556 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.592.651 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Default/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.592.722 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.592.817 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.593.042 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.593.154 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.593.201 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.593.281 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.593.794 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] OneHot select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.593.890 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.593.986 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.594.029 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.594.114 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.594.171 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] Conv2D is not defined in opdef. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.594.691 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Conv2D select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.594.768 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.594.861 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.594.911 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.594.990 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.595.043 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.595.131 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.595.216 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.595.308 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.595.469 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ReLU select aclnn kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.595.527 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.595.611 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.595.658 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.595.743 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.595.806 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] MaxPool is not defined in opdef. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.596.168 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] MaxPool select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.596.238 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.596.335 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.596.383 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.596.463 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.596.754 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.596.861 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.596.905 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.597.006 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.597.071 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.597.154 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.597.281 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.597.381 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.597.433 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.597.519 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.597.774 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.597.889 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.597.935 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.598.012 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.598.102 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.598.188 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.598.346 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.598.466 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.598.520 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.598.601 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.598.668 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.598.754 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.598.845 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.598.935 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.599.156 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] MatMul select aclnn kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.599.219 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.599.311 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.599.360 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.599.446 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.599.990 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] BiasAdd select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.065 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.162 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.207 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.289 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.352 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.433 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.560 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.656 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.702 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.782 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.841 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.600.926 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.601.140 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.601.241 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.601.292 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.601.374 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.601.683 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.601.796 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.601.842 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.601.925 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.601.992 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.602.077 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.602.210 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.602.306 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.602.378 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.602.485 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.602.559 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.602.649 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.602.887 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:494] SendDataToAscend] Begin to send data to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.603.041 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:1195] PrintBeginInfoWhenFirstBatch] Loading dataset and begin to push first batch into device ... [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.602.838 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.604.684 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.604.745 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.604.819 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.605.252 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.605.365 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.605.416 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.605.495 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.605.579 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.605.656 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.605.728 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.605.791 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.605.871 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.606.030 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.606.133 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.606.181 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.606.265 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.606.316 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] SoftmaxCrossEntropyWithLogits is not defined in opdef. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.606.682 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 0; host_queue: 0, 0; device_queue: 0; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> -1 push_start_time -> push_end_time 2025-07-15-11:45:33.602.995 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.610.065 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] SoftmaxCrossEntropyWithLogits select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.610.196 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.610.307 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.610.351 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.610.455 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.610.524 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.610.604 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.610.679 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.610.760 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.610.955 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Mul select aclnn kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.014 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.100 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.146 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.227 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.297 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.382 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.447 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.522 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.608 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.757 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.856 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.901 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.611.984 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.612.494 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ReduceMean select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.612.570 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.612.667 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.612.714 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.612.812 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.612.877 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.612.960 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.613.176 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.613.278 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.613.326 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.613.412 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.613.482 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.613.567 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.613.751 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.613.849 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.613.892 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.613.968 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.614.043 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] AllReduce is not defined in opdef. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.614.096 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.614.177 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.614.528 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.614.640 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.614.778 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] AllReduce select hccl kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.614.836 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.614.920 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.614.957 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.615.031 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.615.372 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] BiasAddGrad select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.615.437 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.615.519 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.615.584 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.615.665 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.615.915 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.616.025 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.616.169 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.616.266 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.616.316 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.616.400 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.616.467 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.616.553 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.616.704 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.616.800 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.616.848 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.616.929 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.617.021 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.617.110 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.617.184 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.617.271 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.617.454 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ReluGrad select aclnn kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.617.515 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.617.610 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.617.659 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.617.745 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.617.818 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.617.907 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.618.104 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.618.203 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.618.275 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.618.355 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.618.415 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.618.707 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.615.023 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:1206] PrintEndInfoWhenFirstBatch] Loading dataset and push first batch into device successful. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.618.926 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.618.930 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 1 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.619.020 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.619.068 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.619.142 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.619.421 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.619.530 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.619.741 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.619.859 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.619.913 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.620.005 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.620.090 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.620.185 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.620.360 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.620.459 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.620.503 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.620.586 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.620.880 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.620.986 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.621.028 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.621.105 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.621.375 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.621.467 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.621.594 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.621.679 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.621.718 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.621.792 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.621.850 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.621.930 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.053 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.137 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.176 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.252 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.325 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.406 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.586 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.679 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.719 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.793 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.851 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.622.934 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.623.140 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.623.257 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.623.313 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.623.399 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.623.497 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.623.589 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.623.790 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.623.890 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.623.936 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.624.018 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.624.298 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.624.403 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.624.549 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.624.646 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.624.692 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.624.773 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.624.843 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.624.928 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.625.091 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.625.185 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.625.228 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.625.313 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.625.588 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.625.696 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.625.745 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.625.823 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.626.070 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.626.170 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.626.299 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.626.386 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.626.484 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.626.568 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.626.627 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.626.703 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.626.834 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.626.920 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.626.957 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.627.032 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.627.086 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.627.167 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.627.224 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.627.294 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.627.382 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.627.585 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.627.684 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.627.728 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.627.802 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.627.851 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] MaxPoolGrad is not defined in opdef. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.629.232 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] MaxPoolGrad select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.629.324 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.629.422 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.629.462 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.629.536 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.629.596 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.629.671 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.629.826 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.629.940 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.629.982 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.630.056 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.630.879 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] AssignAdd select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.630.967 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.631.062 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.631.104 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.631.177 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.631.229 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] Conv2DBackpropInput is not defined in opdef. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.632.455 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Conv2DBackpropInput select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.632.545 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.632.648 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.632.693 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.632.772 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.632.857 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] Conv2DBackpropFilter is not defined in opdef. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.633.287 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Conv2DBackpropFilter select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.633.353 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.633.444 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.633.489 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.633.566 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.633.819 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.633.914 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.634.047 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.634.139 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.634.181 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.634.263 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.634.328 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.634.455 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.634.611 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.634.711 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.634.757 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.634.839 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.634.901 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] ApplyMomentum is not defined in opdef. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.635.406 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ApplyMomentum select aclop kernel [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.635.476 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.635.571 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.635.614 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.635.694 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.635.975 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.636.079 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.636.147 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.636.227 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.636.284 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.636.368 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.636.515 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.636.605 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.636.646 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.636.721 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.637.077 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.637.182 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.637.226 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.637.301 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.637.533 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.637.635 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.637.793 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.637.888 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.638.480 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.638.600 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.638.680 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.638.759 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.638.927 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.639.026 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.639.033 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 1; host_queue: 0, 0, 0, 4; device_queue: 0, 1; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time 2025-07-15-11:45:33.602.995 -> 2025-07-15-11:45:33.618.986 2025-07-15-11:45:33.638.624 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.639.066 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.639.447 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.639.901 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.640.018 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.640.066 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.640.147 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.640.491 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.640.605 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.640.653 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.640.729 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.641.058 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.641.163 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.641.206 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.641.282 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.641.600 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.641.696 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.641.740 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.641.813 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.642.079 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.642.175 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.642.216 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.642.287 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.642.574 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.642.672 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.642.713 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.642.788 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.642.840 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.642.917 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.643.063 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.643.150 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.643.189 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.643.264 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.644.134 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:310] SelectKernel] [PROF]SelectKernel costs 54.288 msec. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.644.202 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:314] PrintOpSelectedNum] Number of INTERNAL_KERNEL, OPAPI_KERNEL, ACL_KERNEL, ATB_KERNEL, HCCL_KERNEL, HOST_KERNEL: [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.644.239 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:320] PrintOpSelectedNum] 0 26 28 0 8 0 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.644.416 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.644.518 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.644.994 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_0_set_fracz_group_attr in 353.993 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.648.688 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_1.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.648.827 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.invalid_dout_check [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.647.050 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_1_insert_identity in 1923.76 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.649.461 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.invalid_dout_check.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.649.545 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.recompute_prepare [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.649.591 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_recompute_prepare [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.650.390 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.recompute_prepare.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.650.569 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.updatestate_depend_eliminate [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.651.181 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_2_insert_type_transform_op in 3973.05 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.651.275 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_3_shape_reshape is disabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.651.314 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_4_shape_reshape_direct is enabled. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.652.229 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.updatestate_depend_eliminate.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.652.327 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.updatestate_assign_eliminate [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.652.450 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_opt_acl_after_kernel_select_pm_4_shape_reshape_direct in 1054.12 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.652.755 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.652.816 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.updatestate_loads_eliminate [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.652.852 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_5_graph_view_replace in 317.983 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.652.917 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_6_label_1f1b_overlap_node in 3.37 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.652.963 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_7_insert_move_to in 4.39 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.653.137 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:173] GEBackendOptimizeACLAfterKernelSelect] [PROF]GEBackendOptimizeACLAfterKernelSelect costs 8.817 msec. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.653.311 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.653.423 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.653.488 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:210] GEBackendOptimizeACLAfterKernelPacket] [PROF]GEBackendOptimizeACLAfterKernelPacket costs 0.006 msec. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.653.839 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_packet_0_graph_view_replace in 285.222 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.653.955 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.updatestate_loads_eliminate.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.654.041 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.parameter_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.654.144 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.parameter_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.654.189 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_2 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.654.229 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r1_a_2 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.654.292 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.654.608 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.654.745 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.654.820 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.655.231 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.655.277 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.655.429 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:131] OptimizeACLGraphAfterKernelSelect] [PROF]OptimizeACLGraphAfterKernelSelect costs 11.118 msec. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.655.641 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.655.681 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.655.955 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.656.045 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.656.086 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.656.458 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.656.504 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.656.781 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_after_inline_pm_0_DropoutGenMask is enabled. [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.656.858 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_after_inline_pm_0_DropoutGenMask in 4.55 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.656.959 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.657.003 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.657.433 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.657.481 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.657.645 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_1_cse in 712.917 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.657.879 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.657.880 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_2_eliminate_maketuple_getitem in 162.972 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.657.922 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.658.005 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 2 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.658.402 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.658.470 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.658.443 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.658.965 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.659.008 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.659.381 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.659.420 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.659.662 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 2; host_queue: 0, 0, 0, 4, 4, 3; device_queue: 0, 1, 2; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time 2025-07-15-11:45:33.602.995 -> 2025-07-15-11:45:33.618.986 2025-07-15-11:45:33.638.624 -> 2025-07-15-11:45:33.658.067 2025-07-15-11:45:33.658.609 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.659.842 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.659.890 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.659.952 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_3_insert_pre_fetch_depend in 1969.45 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.660.031 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_4_overlap_1b1f in 3.481 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.660.259 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:281] GEAfterInlineOptimize] [PROF]GEAfterInlineOptimize costs 3.523 msec. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.660.268 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 3 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.660.297 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.660.345 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.660.353 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:436] InlineCallGraph] [PROF]InlineCallGraph costs 4.857 msec. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.660.746 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 3; host_queue: 0, 0, 0, 4, 4, 3, 3, 2; device_queue: 0, 1, 2, 3; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time 2025-07-15-11:45:33.602.995 -> 2025-07-15-11:45:33.618.986 2025-07-15-11:45:33.638.624 -> 2025-07-15-11:45:33.658.067 2025-07-15-11:45:33.658.609 -> 2025-07-15-11:45:33.660.320 2025-07-15-11:45:33.660.583 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.660.763 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.660.808 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.660.904 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.661.229 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.661.272 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.661.316 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 4 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.661.720 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 4; host_queue: 0, 0, 0, 4, 4, 3, 3, 2, 2, 1; device_queue: 0, 1, 2, 3, 4; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time 2025-07-15-11:45:33.602.995 -> 2025-07-15-11:45:33.618.986 2025-07-15-11:45:33.638.624 -> 2025-07-15-11:45:33.658.067 2025-07-15-11:45:33.658.609 -> 2025-07-15-11:45:33.660.320 2025-07-15-11:45:33.660.583 -> 2025-07-15-11:45:33.661.362 2025-07-15-11:45:33.661.571 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.661.828 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.661.872 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:911] InlineSwitchGraph] [PROF]InlineSwitchGraph costs 1.431 msec. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.661.888 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:33.661.970 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:622] CompileGraphImpl] [PROF]OptimizeGraph costs 86.65 msec. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.662.286 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 5 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:33.662.554 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.662.623 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 5; host_queue: 0, 4, 4, 3, 3, 2, 2, 1, 1, 1; device_queue: 0, 1, 2, 3, 4, 5; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time 2025-07-15-11:45:33.602.995 -> 2025-07-15-11:45:33.618.986 2025-07-15-11:45:33.638.624 -> 2025-07-15-11:45:33.658.067 2025-07-15-11:45:33.658.609 -> 2025-07-15-11:45:33.660.320 2025-07-15-11:45:33.660.583 -> 2025-07-15-11:45:33.661.362 2025-07-15-11:45:33.661.571 -> 2025-07-15-11:45:33.662.335 2025-07-15-11:45:33.662.503 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.662.985 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 6 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.663.262 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 6; host_queue: 4, 3, 3, 2, 2, 1, 1, 1, 1, 0; device_queue: 0, 1, 2, 3, 4, 5, 6; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time 2025-07-15-11:45:33.602.995 -> 2025-07-15-11:45:33.618.986 2025-07-15-11:45:33.638.624 -> 2025-07-15-11:45:33.658.067 2025-07-15-11:45:33.658.609 -> 2025-07-15-11:45:33.660.320 2025-07-15-11:45:33.660.583 -> 2025-07-15-11:45:33.661.362 2025-07-15-11:45:33.661.571 -> 2025-07-15-11:45:33.662.335 2025-07-15-11:45:33.662.503 -> 2025-07-15-11:45:33.663.024 2025-07-15-11:45:33.663.158 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.663.414 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive GetNext [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.662.341 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.662.386 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.662.780 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.662.821 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.663.209 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.663.252 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.663.606 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.663.601 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 7 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.663.647 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.664.013 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.664.064 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.664.438 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.664.442 [mindspore/ccsrc/plugin/res_manager/ascend/op_adapter/op_adapter.h:531] ConvertAny] Value: ValueTuple [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.664.486 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.664.696 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive GetNext [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.664.752 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:GetNext, kernel type:acl_kernel [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:33.664.852 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.664.900 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.664.944 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.665.077 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.665.164 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive OneHot [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.665.642 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive OneHot [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.665.698 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:OneHot, kernel type:acl_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.665.751 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2D [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:33.666.278 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2D [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:33.666.336 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2D, kernel type:acl_kernel [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.666.853 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 7; host_queue: 3, 2, 2, 1, 1, 1, 1, 0, 0, 2; device_queue: 0, 1, 2, 3, 4, 5, 6, 7; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time 2025-07-15-11:45:33.602.995 -> 2025-07-15-11:45:33.618.986 2025-07-15-11:45:33.638.624 -> 2025-07-15-11:45:33.658.067 2025-07-15-11:45:33.658.609 -> 2025-07-15-11:45:33.660.320 2025-07-15-11:45:33.660.583 -> 2025-07-15-11:45:33.661.362 2025-07-15-11:45:33.661.571 -> 2025-07-15-11:45:33.662.335 2025-07-15-11:45:33.662.503 -> 2025-07-15-11:45:33.663.024 2025-07-15-11:45:33.663.158 -> 2025-07-15-11:45:33.663.642 2025-07-15-11:45:33.666.588 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] GE_ADPT(1384455,ffffae59eec0,python):2025-07-15-11:45:33.667.121 [mindspore/ops/kernel/ascend/acl_ir/op_api_exec.cc:124] ParseCustomPriority] Could not open the file /usr/local/Ascend/ascend-toolkit/latest/opp/vendors/config.ini [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.667.461 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 8 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.668.031 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 8; host_queue: 2, 1, 1, 1, 1, 0, 0, 2, 2, 1; device_queue: 0, 1, 2, 3, 4, 5, 6, 7, 8; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time 2025-07-15-11:45:33.602.995 -> 2025-07-15-11:45:33.618.986 2025-07-15-11:45:33.638.624 -> 2025-07-15-11:45:33.658.067 2025-07-15-11:45:33.658.609 -> 2025-07-15-11:45:33.660.320 2025-07-15-11:45:33.660.583 -> 2025-07-15-11:45:33.661.362 2025-07-15-11:45:33.661.571 -> 2025-07-15-11:45:33.662.335 2025-07-15-11:45:33.662.503 -> 2025-07-15-11:45:33.663.024 2025-07-15-11:45:33.663.158 -> 2025-07-15-11:45:33.663.642 2025-07-15-11:45:33.666.588 -> 2025-07-15-11:45:33.667.536 2025-07-15-11:45:33.667.857 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.668.468 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 9 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.668.853 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 9; host_queue: 1, 1, 1, 0, 0, 2, 2, 1, 1, 0; device_queue: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time 2025-07-15-11:45:33.602.995 -> 2025-07-15-11:45:33.618.986 2025-07-15-11:45:33.638.624 -> 2025-07-15-11:45:33.658.067 2025-07-15-11:45:33.658.609 -> 2025-07-15-11:45:33.660.320 2025-07-15-11:45:33.660.583 -> 2025-07-15-11:45:33.661.362 2025-07-15-11:45:33.661.571 -> 2025-07-15-11:45:33.662.335 2025-07-15-11:45:33.662.503 -> 2025-07-15-11:45:33.663.024 2025-07-15-11:45:33.663.158 -> 2025-07-15-11:45:33.663.642 2025-07-15-11:45:33.666.588 -> 2025-07-15-11:45:33.667.536 2025-07-15-11:45:33.667.857 -> 2025-07-15-11:45:33.668.518 2025-07-15-11:45:33.668.699 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.669.328 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 10 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.665.335 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.665.379 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.665.746 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.665.783 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.666.254 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.666.296 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.666.794 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.666.862 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.667.234 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.667.275 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.667.688 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.667.733 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.668.164 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.668.219 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.668.652 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.668.719 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.669.177 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.669.247 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.669.701 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.669.765 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.670.183 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.670.249 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_2.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.670.308 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.accelerated_algorithm [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.670.350 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_accelerated_algorithm [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.670.754 [mindspore/ccsrc/frontend/optimizer/opt.cc:242] ApplyIRToSubstitutions] There may be a problem. Substitution: opt_a.r1.accelerated_algorithm.less_batch_normalization [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.671.104 [mindspore/ccsrc/frontend/optimizer/opt.cc:242] ApplyIRToSubstitutions] There may be a problem. Substitution: opt_a.r1.accelerated_algorithm.less_batch_normalization [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.671.431 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.accelerated_algorithm.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.671.498 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.shard [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:33.671.553 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:627] Shard] Shard pass starts. [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:33.671.587 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:630] Shard] Shard Prim don't exist, skip Shard pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.671.613 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.shard.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.671.652 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.meta_shard_fg_expand [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.671.969 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.meta_shard_fg_expand.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.672.023 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.shard_inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.672.063 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_shard_inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.672.563 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.shard_inline.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.672.617 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_send_recv [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.673.238 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_send_recv.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.673.302 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.auto_parallel [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:33.673.592 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 246 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.673.641 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.auto_parallel.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.673.690 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.parallel [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:33.673.870 [mindspore/ccsrc/frontend/parallel/step_parallel.cc:123] StepParallel] Strategies would be ignored in data_parallel, shard() only valid in [semi_]auto_parallel. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.673.914 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.parallel.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.673.955 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.flash_sp [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.674.216 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.flash_sp.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.674.266 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_comm [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.674.628 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_comm.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.674.689 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.allreduce_fusion [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.675.014 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.allreduce_fusion.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.675.072 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.matmul_add_comm_reduction [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.675.669 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.matmul_add_comm_reduction.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.675.760 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.allreduce_slice_to_reducescatter [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.675.847 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.allreduce_slice_to_reducescatter.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.675.883 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.virtual_shard_identity [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.675.920 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_virtual_shard_identity [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.676.411 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.virtual_shard_identity.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.676.469 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.virtual_dataset [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.676.503 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_virtual_dataset [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.676.979 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.virtual_dataset.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.677.056 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.get_grad_eliminate_ [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.677.098 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_get_grad_eliminate_ [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.677.577 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.get_grad_eliminate_.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.677.650 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.virtual_output [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.677.686 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_virtual_output [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.678.162 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.virtual_output.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.678.250 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_forward [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.678.544 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 10; host_queue: 1, 0, 0, 2, 2, 1, 1, 0, 0, 2; device_queue: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.618.986 2025-07-15-11:45:33.638.624 -> 2025-07-15-11:45:33.658.067 2025-07-15-11:45:33.658.609 -> 2025-07-15-11:45:33.660.320 2025-07-15-11:45:33.660.583 -> 2025-07-15-11:45:33.661.362 2025-07-15-11:45:33.661.571 -> 2025-07-15-11:45:33.662.335 2025-07-15-11:45:33.662.503 -> 2025-07-15-11:45:33.663.024 2025-07-15-11:45:33.663.158 -> 2025-07-15-11:45:33.663.642 2025-07-15-11:45:33.666.588 -> 2025-07-15-11:45:33.667.536 2025-07-15-11:45:33.667.857 -> 2025-07-15-11:45:33.668.518 2025-07-15-11:45:33.668.699 -> 2025-07-15-11:45:33.669.380 2025-07-15-11:45:33.678.041 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.678.624 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_forward.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.678.702 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.offload_activation [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.679.693 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 11 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.680.571 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 11; host_queue: 0, 2, 2, 1, 1, 0, 0, 2, 2, 1; device_queue: 2, 3, 4, 5, 6, 7, 8, 9, 10, 11; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.658.067 2025-07-15-11:45:33.658.609 -> 2025-07-15-11:45:33.660.320 2025-07-15-11:45:33.660.583 -> 2025-07-15-11:45:33.661.362 2025-07-15-11:45:33.661.571 -> 2025-07-15-11:45:33.662.335 2025-07-15-11:45:33.662.503 -> 2025-07-15-11:45:33.663.024 2025-07-15-11:45:33.663.158 -> 2025-07-15-11:45:33.663.642 2025-07-15-11:45:33.666.588 -> 2025-07-15-11:45:33.667.536 2025-07-15-11:45:33.667.857 -> 2025-07-15-11:45:33.668.518 2025-07-15-11:45:33.668.699 -> 2025-07-15-11:45:33.669.380 2025-07-15-11:45:33.678.041 -> 2025-07-15-11:45:33.679.778 2025-07-15-11:45:33.680.231 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.679.172 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.offload_activation.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.679.249 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.cell_reuse_recompute_pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.679.344 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.cell_reuse_recompute_pass.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.679.387 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.679.424 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r1_cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.679.492 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: remove_not_recompute_node [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.680.467 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: remove_not_recompute_node, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.680.552 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.cell_reuse_handle_not_recompute_node_pass.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.680.606 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.merge_recompute_call_nodes [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.680.643 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.merge_recompute_call_nodes.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.680.683 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.before_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.680.716 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_before_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.681.644 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.before_grad.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.681.712 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.set_forward_comm_id_for_comm_node_pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.682.208 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.set_forward_comm_id_for_comm_node_pass.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.682.296 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.meta_fg_expand [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.682.728 [mindspore/ccsrc/frontend/optimizer/irpass/meta_fg_eliminate.cc:36] operator()] Start expanding meta: J [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.681.095 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 12 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.681.523 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 12; host_queue: 2, 1, 1, 0, 0, 2, 2, 1, 1, 0; device_queue: 3, 4, 5, 6, 7, 8, 9, 10, 11, 12; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.660.320 2025-07-15-11:45:33.660.583 -> 2025-07-15-11:45:33.661.362 2025-07-15-11:45:33.661.571 -> 2025-07-15-11:45:33.662.335 2025-07-15-11:45:33.662.503 -> 2025-07-15-11:45:33.663.024 2025-07-15-11:45:33.663.158 -> 2025-07-15-11:45:33.663.642 2025-07-15-11:45:33.666.588 -> 2025-07-15-11:45:33.667.536 2025-07-15-11:45:33.667.857 -> 2025-07-15-11:45:33.668.518 2025-07-15-11:45:33.668.699 -> 2025-07-15-11:45:33.669.380 2025-07-15-11:45:33.678.041 -> 2025-07-15-11:45:33.679.778 2025-07-15-11:45:33.680.231 -> 2025-07-15-11:45:33.681.185 2025-07-15-11:45:33.681.389 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.681.877 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 13 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.683.991 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 13; host_queue: 1, 0, 0, 2, 2, 1, 1, 0, 0, 0; device_queue: 4, 5, 6, 7, 8, 9, 10, 11, 12, 13; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.661.362 2025-07-15-11:45:33.661.571 -> 2025-07-15-11:45:33.662.335 2025-07-15-11:45:33.662.503 -> 2025-07-15-11:45:33.663.024 2025-07-15-11:45:33.663.158 -> 2025-07-15-11:45:33.663.642 2025-07-15-11:45:33.666.588 -> 2025-07-15-11:45:33.667.536 2025-07-15-11:45:33.667.857 -> 2025-07-15-11:45:33.668.518 2025-07-15-11:45:33.668.699 -> 2025-07-15-11:45:33.669.380 2025-07-15-11:45:33.678.041 -> 2025-07-15-11:45:33.679.778 2025-07-15-11:45:33.680.231 -> 2025-07-15-11:45:33.681.185 2025-07-15-11:45:33.681.389 -> 2025-07-15-11:45:33.681.918 2025-07-15-11:45:33.683.696 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.684.581 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 14 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.690.690 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 14; host_queue: 0, 2, 2, 1, 1, 0, 0, 0, 0, 0; device_queue: 5, 6, 7, 8, 9, 10, 11, 12, 13, 14; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.662.335 2025-07-15-11:45:33.662.503 -> 2025-07-15-11:45:33.663.024 2025-07-15-11:45:33.663.158 -> 2025-07-15-11:45:33.663.642 2025-07-15-11:45:33.666.588 -> 2025-07-15-11:45:33.667.536 2025-07-15-11:45:33.667.857 -> 2025-07-15-11:45:33.668.518 2025-07-15-11:45:33.668.699 -> 2025-07-15-11:45:33.669.380 2025-07-15-11:45:33.678.041 -> 2025-07-15-11:45:33.679.778 2025-07-15-11:45:33.680.231 -> 2025-07-15-11:45:33.681.185 2025-07-15-11:45:33.681.389 -> 2025-07-15-11:45:33.681.918 2025-07-15-11:45:33.683.696 -> 2025-07-15-11:45:33.684.637 2025-07-15-11:45:33.686.922 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.694.727 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 15 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.699.041 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 15; host_queue: 2, 1, 1, 0, 0, 0, 0, 0, 1, 1; device_queue: 6, 7, 8, 9, 10, 11, 12, 13, 14, 15; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.663.024 2025-07-15-11:45:33.663.158 -> 2025-07-15-11:45:33.663.642 2025-07-15-11:45:33.666.588 -> 2025-07-15-11:45:33.667.536 2025-07-15-11:45:33.667.857 -> 2025-07-15-11:45:33.668.518 2025-07-15-11:45:33.668.699 -> 2025-07-15-11:45:33.669.380 2025-07-15-11:45:33.678.041 -> 2025-07-15-11:45:33.679.778 2025-07-15-11:45:33.680.231 -> 2025-07-15-11:45:33.681.185 2025-07-15-11:45:33.681.389 -> 2025-07-15-11:45:33.681.918 2025-07-15-11:45:33.683.696 -> 2025-07-15-11:45:33.684.637 2025-07-15-11:45:33.686.922 -> 2025-07-15-11:45:33.694.843 2025-07-15-11:45:33.698.636 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.699.645 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 16 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.700.214 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 16; host_queue: 1, 0, 0, 0, 0, 0, 1, 1, 2, 1; device_queue: 7, 8, 9, 10, 11, 12, 13, 14, 15, 16; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.663.642 2025-07-15-11:45:33.666.588 -> 2025-07-15-11:45:33.667.536 2025-07-15-11:45:33.667.857 -> 2025-07-15-11:45:33.668.518 2025-07-15-11:45:33.668.699 -> 2025-07-15-11:45:33.669.380 2025-07-15-11:45:33.678.041 -> 2025-07-15-11:45:33.679.778 2025-07-15-11:45:33.680.231 -> 2025-07-15-11:45:33.681.185 2025-07-15-11:45:33.681.389 -> 2025-07-15-11:45:33.681.918 2025-07-15-11:45:33.683.696 -> 2025-07-15-11:45:33.684.637 2025-07-15-11:45:33.686.922 -> 2025-07-15-11:45:33.694.843 2025-07-15-11:45:33.698.636 -> 2025-07-15-11:45:33.699.720 2025-07-15-11:45:33.700.036 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.701.860 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 17 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.702.687 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 17; host_queue: 0, 0, 0, 0, 1, 1, 2, 1, 1, 0; device_queue: 8, 9, 10, 11, 12, 13, 14, 15, 16, 17; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.667.536 2025-07-15-11:45:33.667.857 -> 2025-07-15-11:45:33.668.518 2025-07-15-11:45:33.668.699 -> 2025-07-15-11:45:33.669.380 2025-07-15-11:45:33.678.041 -> 2025-07-15-11:45:33.679.778 2025-07-15-11:45:33.680.231 -> 2025-07-15-11:45:33.681.185 2025-07-15-11:45:33.681.389 -> 2025-07-15-11:45:33.681.918 2025-07-15-11:45:33.683.696 -> 2025-07-15-11:45:33.684.637 2025-07-15-11:45:33.686.922 -> 2025-07-15-11:45:33.694.843 2025-07-15-11:45:33.698.636 -> 2025-07-15-11:45:33.699.720 2025-07-15-11:45:33.700.036 -> 2025-07-15-11:45:33.701.973 2025-07-15-11:45:33.702.351 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.703.293 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 18 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.715.305 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 18; host_queue: 0, 0, 1, 1, 2, 1, 1, 0, 0, 0; device_queue: 9, 10, 11, 12, 13, 14, 15, 16, 17, 18; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.668.518 2025-07-15-11:45:33.668.699 -> 2025-07-15-11:45:33.669.380 2025-07-15-11:45:33.678.041 -> 2025-07-15-11:45:33.679.778 2025-07-15-11:45:33.680.231 -> 2025-07-15-11:45:33.681.185 2025-07-15-11:45:33.681.389 -> 2025-07-15-11:45:33.681.918 2025-07-15-11:45:33.683.696 -> 2025-07-15-11:45:33.684.637 2025-07-15-11:45:33.686.922 -> 2025-07-15-11:45:33.694.843 2025-07-15-11:45:33.698.636 -> 2025-07-15-11:45:33.699.720 2025-07-15-11:45:33.700.036 -> 2025-07-15-11:45:33.701.973 2025-07-15-11:45:33.702.351 -> 2025-07-15-11:45:33.703.356 2025-07-15-11:45:33.715.042 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.716.235 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 19 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.724.759 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [bprop_depend_420] Added global python symbol: {C : } [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.725.602 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_resolve.r1.j0.resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.725.734 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_resolve_r1_resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.725.784 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.727.048 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.727.151 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.727.210 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.727.250 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_resolve.r1.j0.resolve.changed [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.728.567 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 19; host_queue: 1, 1, 2, 1, 1, 0, 0, 0, 0, 4; device_queue: 10, 11, 12, 13, 14, 15, 16, 17, 18, 19; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.669.380 2025-07-15-11:45:33.678.041 -> 2025-07-15-11:45:33.679.778 2025-07-15-11:45:33.680.231 -> 2025-07-15-11:45:33.681.185 2025-07-15-11:45:33.681.389 -> 2025-07-15-11:45:33.681.918 2025-07-15-11:45:33.683.696 -> 2025-07-15-11:45:33.684.637 2025-07-15-11:45:33.686.922 -> 2025-07-15-11:45:33.694.843 2025-07-15-11:45:33.698.636 -> 2025-07-15-11:45:33.699.720 2025-07-15-11:45:33.700.036 -> 2025-07-15-11:45:33.701.973 2025-07-15-11:45:33.702.351 -> 2025-07-15-11:45:33.703.356 2025-07-15-11:45:33.715.042 -> 2025-07-15-11:45:33.716.308 2025-07-15-11:45:33.728.305 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.730.494 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 20 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.731.416 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 20; host_queue: 2, 1, 1, 0, 0, 0, 0, 4, 4, 3; device_queue: 11, 12, 13, 14, 15, 16, 17, 18, 19, 20; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.679.778 2025-07-15-11:45:33.680.231 -> 2025-07-15-11:45:33.681.185 2025-07-15-11:45:33.681.389 -> 2025-07-15-11:45:33.681.918 2025-07-15-11:45:33.683.696 -> 2025-07-15-11:45:33.684.637 2025-07-15-11:45:33.686.922 -> 2025-07-15-11:45:33.694.843 2025-07-15-11:45:33.698.636 -> 2025-07-15-11:45:33.699.720 2025-07-15-11:45:33.700.036 -> 2025-07-15-11:45:33.701.973 2025-07-15-11:45:33.702.351 -> 2025-07-15-11:45:33.703.356 2025-07-15-11:45:33.715.042 -> 2025-07-15-11:45:33.716.308 2025-07-15-11:45:33.728.305 -> 2025-07-15-11:45:33.730.588 2025-07-15-11:45:33.731.195 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.732.053 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 21 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.732.599 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 21; host_queue: 1, 0, 0, 0, 0, 4, 4, 3, 3, 2; device_queue: 12, 13, 14, 15, 16, 17, 18, 19, 20, 21; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.681.185 2025-07-15-11:45:33.681.389 -> 2025-07-15-11:45:33.681.918 2025-07-15-11:45:33.683.696 -> 2025-07-15-11:45:33.684.637 2025-07-15-11:45:33.686.922 -> 2025-07-15-11:45:33.694.843 2025-07-15-11:45:33.698.636 -> 2025-07-15-11:45:33.699.720 2025-07-15-11:45:33.700.036 -> 2025-07-15-11:45:33.701.973 2025-07-15-11:45:33.702.351 -> 2025-07-15-11:45:33.703.356 2025-07-15-11:45:33.715.042 -> 2025-07-15-11:45:33.716.308 2025-07-15-11:45:33.728.305 -> 2025-07-15-11:45:33.730.588 2025-07-15-11:45:33.731.195 -> 2025-07-15-11:45:33.732.107 2025-07-15-11:45:33.732.397 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.734.763 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 22 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.735.680 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 22; host_queue: 0, 0, 0, 4, 4, 3, 3, 2, 2, 1; device_queue: 13, 14, 15, 16, 17, 18, 19, 20, 21, 22; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.681.918 2025-07-15-11:45:33.683.696 -> 2025-07-15-11:45:33.684.637 2025-07-15-11:45:33.686.922 -> 2025-07-15-11:45:33.694.843 2025-07-15-11:45:33.698.636 -> 2025-07-15-11:45:33.699.720 2025-07-15-11:45:33.700.036 -> 2025-07-15-11:45:33.701.973 2025-07-15-11:45:33.702.351 -> 2025-07-15-11:45:33.703.356 2025-07-15-11:45:33.715.042 -> 2025-07-15-11:45:33.716.308 2025-07-15-11:45:33.728.305 -> 2025-07-15-11:45:33.730.588 2025-07-15-11:45:33.731.195 -> 2025-07-15-11:45:33.732.107 2025-07-15-11:45:33.732.397 -> 2025-07-15-11:45:33.734.868 2025-07-15-11:45:33.735.279 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.736.345 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 23 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.736.941 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 23; host_queue: 0, 4, 4, 3, 3, 2, 2, 1, 1, 0; device_queue: 14, 15, 16, 17, 18, 19, 20, 21, 22, 23; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.684.637 2025-07-15-11:45:33.686.922 -> 2025-07-15-11:45:33.694.843 2025-07-15-11:45:33.698.636 -> 2025-07-15-11:45:33.699.720 2025-07-15-11:45:33.700.036 -> 2025-07-15-11:45:33.701.973 2025-07-15-11:45:33.702.351 -> 2025-07-15-11:45:33.703.356 2025-07-15-11:45:33.715.042 -> 2025-07-15-11:45:33.716.308 2025-07-15-11:45:33.728.305 -> 2025-07-15-11:45:33.730.588 2025-07-15-11:45:33.731.195 -> 2025-07-15-11:45:33.732.107 2025-07-15-11:45:33.732.397 -> 2025-07-15-11:45:33.734.868 2025-07-15-11:45:33.735.279 -> 2025-07-15-11:45:33.736.406 2025-07-15-11:45:33.736.734 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.737.461 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 24 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.737.994 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 24; host_queue: 4, 3, 3, 2, 2, 1, 1, 0, 2, 1; device_queue: 15, 16, 17, 18, 19, 20, 21, 22, 23, 24; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.694.843 2025-07-15-11:45:33.698.636 -> 2025-07-15-11:45:33.699.720 2025-07-15-11:45:33.700.036 -> 2025-07-15-11:45:33.701.973 2025-07-15-11:45:33.702.351 -> 2025-07-15-11:45:33.703.356 2025-07-15-11:45:33.715.042 -> 2025-07-15-11:45:33.716.308 2025-07-15-11:45:33.728.305 -> 2025-07-15-11:45:33.730.588 2025-07-15-11:45:33.731.195 -> 2025-07-15-11:45:33.732.107 2025-07-15-11:45:33.732.397 -> 2025-07-15-11:45:33.734.868 2025-07-15-11:45:33.735.279 -> 2025-07-15-11:45:33.736.406 2025-07-15-11:45:33.736.734 -> 2025-07-15-11:45:33.737.519 2025-07-15-11:45:33.737.799 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.738.479 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 25 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.738.957 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 25; host_queue: 3, 2, 2, 1, 1, 0, 2, 1, 1, 0; device_queue: 16, 17, 18, 19, 20, 21, 22, 23, 24, 25; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.699.720 2025-07-15-11:45:33.700.036 -> 2025-07-15-11:45:33.701.973 2025-07-15-11:45:33.702.351 -> 2025-07-15-11:45:33.703.356 2025-07-15-11:45:33.715.042 -> 2025-07-15-11:45:33.716.308 2025-07-15-11:45:33.728.305 -> 2025-07-15-11:45:33.730.588 2025-07-15-11:45:33.731.195 -> 2025-07-15-11:45:33.732.107 2025-07-15-11:45:33.732.397 -> 2025-07-15-11:45:33.734.868 2025-07-15-11:45:33.735.279 -> 2025-07-15-11:45:33.736.406 2025-07-15-11:45:33.736.734 -> 2025-07-15-11:45:33.737.519 2025-07-15-11:45:33.737.799 -> 2025-07-15-11:45:33.738.543 2025-07-15-11:45:33.738.766 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.739.414 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 26 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.746.910 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 26; host_queue: 2, 1, 1, 0, 2, 1, 1, 0, 0, 1; device_queue: 17, 18, 19, 20, 21, 22, 23, 24, 25, 26; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.701.973 2025-07-15-11:45:33.702.351 -> 2025-07-15-11:45:33.703.356 2025-07-15-11:45:33.715.042 -> 2025-07-15-11:45:33.716.308 2025-07-15-11:45:33.728.305 -> 2025-07-15-11:45:33.730.588 2025-07-15-11:45:33.731.195 -> 2025-07-15-11:45:33.732.107 2025-07-15-11:45:33.732.397 -> 2025-07-15-11:45:33.734.868 2025-07-15-11:45:33.735.279 -> 2025-07-15-11:45:33.736.406 2025-07-15-11:45:33.736.734 -> 2025-07-15-11:45:33.737.519 2025-07-15-11:45:33.737.799 -> 2025-07-15-11:45:33.738.543 2025-07-15-11:45:33.738.766 -> 2025-07-15-11:45:33.739.470 2025-07-15-11:45:33.746.577 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.747.613 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 27 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.748.158 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 27; host_queue: 1, 0, 2, 1, 1, 0, 0, 1, 2, 1; device_queue: 18, 19, 20, 21, 22, 23, 24, 25, 26, 27; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.703.356 2025-07-15-11:45:33.715.042 -> 2025-07-15-11:45:33.716.308 2025-07-15-11:45:33.728.305 -> 2025-07-15-11:45:33.730.588 2025-07-15-11:45:33.731.195 -> 2025-07-15-11:45:33.732.107 2025-07-15-11:45:33.732.397 -> 2025-07-15-11:45:33.734.868 2025-07-15-11:45:33.735.279 -> 2025-07-15-11:45:33.736.406 2025-07-15-11:45:33.736.734 -> 2025-07-15-11:45:33.737.519 2025-07-15-11:45:33.737.799 -> 2025-07-15-11:45:33.738.543 2025-07-15-11:45:33.738.766 -> 2025-07-15-11:45:33.739.470 2025-07-15-11:45:33.746.577 -> 2025-07-15-11:45:33.747.681 2025-07-15-11:45:33.747.994 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.748.611 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 28 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.749.035 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 28; host_queue: 2, 1, 1, 0, 0, 1, 2, 1, 1, 0; device_queue: 19, 20, 21, 22, 23, 24, 25, 26, 27, 28; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.716.308 2025-07-15-11:45:33.728.305 -> 2025-07-15-11:45:33.730.588 2025-07-15-11:45:33.731.195 -> 2025-07-15-11:45:33.732.107 2025-07-15-11:45:33.732.397 -> 2025-07-15-11:45:33.734.868 2025-07-15-11:45:33.735.279 -> 2025-07-15-11:45:33.736.406 2025-07-15-11:45:33.736.734 -> 2025-07-15-11:45:33.737.519 2025-07-15-11:45:33.737.799 -> 2025-07-15-11:45:33.738.543 2025-07-15-11:45:33.738.766 -> 2025-07-15-11:45:33.739.470 2025-07-15-11:45:33.746.577 -> 2025-07-15-11:45:33.747.681 2025-07-15-11:45:33.747.994 -> 2025-07-15-11:45:33.748.666 2025-07-15-11:45:33.748.885 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.749.489 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 29 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.750.759 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 29; host_queue: 1, 0, 0, 1, 2, 1, 1, 0, 0, 0; device_queue: 20, 21, 22, 23, 24, 25, 26, 27, 28, 29; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.730.588 2025-07-15-11:45:33.731.195 -> 2025-07-15-11:45:33.732.107 2025-07-15-11:45:33.732.397 -> 2025-07-15-11:45:33.734.868 2025-07-15-11:45:33.735.279 -> 2025-07-15-11:45:33.736.406 2025-07-15-11:45:33.736.734 -> 2025-07-15-11:45:33.737.519 2025-07-15-11:45:33.737.799 -> 2025-07-15-11:45:33.738.543 2025-07-15-11:45:33.738.766 -> 2025-07-15-11:45:33.739.470 2025-07-15-11:45:33.746.577 -> 2025-07-15-11:45:33.747.681 2025-07-15-11:45:33.747.994 -> 2025-07-15-11:45:33.748.666 2025-07-15-11:45:33.748.885 -> 2025-07-15-11:45:33.749.538 2025-07-15-11:45:33.750.572 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.751.339 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 30 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.756.234 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 30; host_queue: 0, 1, 2, 1, 1, 0, 0, 0, 0, 0; device_queue: 21, 22, 23, 24, 25, 26, 27, 28, 29, 30; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.732.107 2025-07-15-11:45:33.732.397 -> 2025-07-15-11:45:33.734.868 2025-07-15-11:45:33.735.279 -> 2025-07-15-11:45:33.736.406 2025-07-15-11:45:33.736.734 -> 2025-07-15-11:45:33.737.519 2025-07-15-11:45:33.737.799 -> 2025-07-15-11:45:33.738.543 2025-07-15-11:45:33.738.766 -> 2025-07-15-11:45:33.739.470 2025-07-15-11:45:33.746.577 -> 2025-07-15-11:45:33.747.681 2025-07-15-11:45:33.747.994 -> 2025-07-15-11:45:33.748.666 2025-07-15-11:45:33.748.885 -> 2025-07-15-11:45:33.749.538 2025-07-15-11:45:33.750.572 -> 2025-07-15-11:45:33.751.413 2025-07-15-11:45:33.755.958 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.756.857 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 31 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] PARSER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.757.637 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:441] HandleNamespaceSymbol] [bprop_load_421] Added global python symbol: {C : } [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.758.585 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_resolve.r1.j0.resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.758.717 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_resolve_r1_resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.758.765 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.759.506 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 31; host_queue: 2, 1, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 22, 23, 24, 25, 26, 27, 28, 29, 30, 31; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.734.868 2025-07-15-11:45:33.735.279 -> 2025-07-15-11:45:33.736.406 2025-07-15-11:45:33.736.734 -> 2025-07-15-11:45:33.737.519 2025-07-15-11:45:33.737.799 -> 2025-07-15-11:45:33.738.543 2025-07-15-11:45:33.738.766 -> 2025-07-15-11:45:33.739.470 2025-07-15-11:45:33.746.577 -> 2025-07-15-11:45:33.747.681 2025-07-15-11:45:33.747.994 -> 2025-07-15-11:45:33.748.666 2025-07-15-11:45:33.748.885 -> 2025-07-15-11:45:33.749.538 2025-07-15-11:45:33.750.572 -> 2025-07-15-11:45:33.751.413 2025-07-15-11:45:33.755.958 -> 2025-07-15-11:45:33.756.926 2025-07-15-11:45:33.759.239 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.760.140 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 32 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.760.607 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.760.729 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: getattr_setattr_resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.760.786 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: getattr_setattr_resolve, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.760.821 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_resolve.r1.j0.resolve.changed [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.761.089 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 32; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 23, 24, 25, 26, 27, 28, 29, 30, 31, 32; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.736.406 2025-07-15-11:45:33.736.734 -> 2025-07-15-11:45:33.737.519 2025-07-15-11:45:33.737.799 -> 2025-07-15-11:45:33.738.543 2025-07-15-11:45:33.738.766 -> 2025-07-15-11:45:33.739.470 2025-07-15-11:45:33.746.577 -> 2025-07-15-11:45:33.747.681 2025-07-15-11:45:33.747.994 -> 2025-07-15-11:45:33.748.666 2025-07-15-11:45:33.748.885 -> 2025-07-15-11:45:33.749.538 2025-07-15-11:45:33.750.572 -> 2025-07-15-11:45:33.751.413 2025-07-15-11:45:33.755.958 -> 2025-07-15-11:45:33.756.926 2025-07-15-11:45:33.759.239 -> 2025-07-15-11:45:33.760.207 2025-07-15-11:45:33.760.905 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.761.633 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 33 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.764.507 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 33; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 24, 25, 26, 27, 28, 29, 30, 31, 32, 33; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.737.519 2025-07-15-11:45:33.737.799 -> 2025-07-15-11:45:33.738.543 2025-07-15-11:45:33.738.766 -> 2025-07-15-11:45:33.739.470 2025-07-15-11:45:33.746.577 -> 2025-07-15-11:45:33.747.681 2025-07-15-11:45:33.747.994 -> 2025-07-15-11:45:33.748.666 2025-07-15-11:45:33.748.885 -> 2025-07-15-11:45:33.749.538 2025-07-15-11:45:33.750.572 -> 2025-07-15-11:45:33.751.413 2025-07-15-11:45:33.755.958 -> 2025-07-15-11:45:33.756.926 2025-07-15-11:45:33.759.239 -> 2025-07-15-11:45:33.760.207 2025-07-15-11:45:33.760.905 -> 2025-07-15-11:45:33.761.698 2025-07-15-11:45:33.764.298 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.765.113 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 34 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.767.850 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 34; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 25, 26, 27, 28, 29, 30, 31, 32, 33, 34; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.738.543 2025-07-15-11:45:33.738.766 -> 2025-07-15-11:45:33.739.470 2025-07-15-11:45:33.746.577 -> 2025-07-15-11:45:33.747.681 2025-07-15-11:45:33.747.994 -> 2025-07-15-11:45:33.748.666 2025-07-15-11:45:33.748.885 -> 2025-07-15-11:45:33.749.538 2025-07-15-11:45:33.750.572 -> 2025-07-15-11:45:33.751.413 2025-07-15-11:45:33.755.958 -> 2025-07-15-11:45:33.756.926 2025-07-15-11:45:33.759.239 -> 2025-07-15-11:45:33.760.207 2025-07-15-11:45:33.760.905 -> 2025-07-15-11:45:33.761.698 2025-07-15-11:45:33.764.298 -> 2025-07-15-11:45:33.765.188 2025-07-15-11:45:33.767.640 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.768.505 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 35 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.772.004 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 35; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 26, 27, 28, 29, 30, 31, 32, 33, 34, 35; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.739.470 2025-07-15-11:45:33.746.577 -> 2025-07-15-11:45:33.747.681 2025-07-15-11:45:33.747.994 -> 2025-07-15-11:45:33.748.666 2025-07-15-11:45:33.748.885 -> 2025-07-15-11:45:33.749.538 2025-07-15-11:45:33.750.572 -> 2025-07-15-11:45:33.751.413 2025-07-15-11:45:33.755.958 -> 2025-07-15-11:45:33.756.926 2025-07-15-11:45:33.759.239 -> 2025-07-15-11:45:33.760.207 2025-07-15-11:45:33.760.905 -> 2025-07-15-11:45:33.761.698 2025-07-15-11:45:33.764.298 -> 2025-07-15-11:45:33.765.188 2025-07-15-11:45:33.767.640 -> 2025-07-15-11:45:33.768.573 2025-07-15-11:45:33.771.736 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.772.595 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 36 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.776.687 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 36; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 27, 28, 29, 30, 31, 32, 33, 34, 35, 36; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.747.681 2025-07-15-11:45:33.747.994 -> 2025-07-15-11:45:33.748.666 2025-07-15-11:45:33.748.885 -> 2025-07-15-11:45:33.749.538 2025-07-15-11:45:33.750.572 -> 2025-07-15-11:45:33.751.413 2025-07-15-11:45:33.755.958 -> 2025-07-15-11:45:33.756.926 2025-07-15-11:45:33.759.239 -> 2025-07-15-11:45:33.760.207 2025-07-15-11:45:33.760.905 -> 2025-07-15-11:45:33.761.698 2025-07-15-11:45:33.764.298 -> 2025-07-15-11:45:33.765.188 2025-07-15-11:45:33.767.640 -> 2025-07-15-11:45:33.768.573 2025-07-15-11:45:33.771.736 -> 2025-07-15-11:45:33.772.669 2025-07-15-11:45:33.776.422 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.777.317 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 37 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.779.768 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 37; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 28, 29, 30, 31, 32, 33, 34, 35, 36, 37; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.748.666 2025-07-15-11:45:33.748.885 -> 2025-07-15-11:45:33.749.538 2025-07-15-11:45:33.750.572 -> 2025-07-15-11:45:33.751.413 2025-07-15-11:45:33.755.958 -> 2025-07-15-11:45:33.756.926 2025-07-15-11:45:33.759.239 -> 2025-07-15-11:45:33.760.207 2025-07-15-11:45:33.760.905 -> 2025-07-15-11:45:33.761.698 2025-07-15-11:45:33.764.298 -> 2025-07-15-11:45:33.765.188 2025-07-15-11:45:33.767.640 -> 2025-07-15-11:45:33.768.573 2025-07-15-11:45:33.771.736 -> 2025-07-15-11:45:33.772.669 2025-07-15-11:45:33.776.422 -> 2025-07-15-11:45:33.777.397 2025-07-15-11:45:33.779.449 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.780.416 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 38 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.782.474 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 38; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 29, 30, 31, 32, 33, 34, 35, 36, 37, 38; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.749.538 2025-07-15-11:45:33.750.572 -> 2025-07-15-11:45:33.751.413 2025-07-15-11:45:33.755.958 -> 2025-07-15-11:45:33.756.926 2025-07-15-11:45:33.759.239 -> 2025-07-15-11:45:33.760.207 2025-07-15-11:45:33.760.905 -> 2025-07-15-11:45:33.761.698 2025-07-15-11:45:33.764.298 -> 2025-07-15-11:45:33.765.188 2025-07-15-11:45:33.767.640 -> 2025-07-15-11:45:33.768.573 2025-07-15-11:45:33.771.736 -> 2025-07-15-11:45:33.772.669 2025-07-15-11:45:33.776.422 -> 2025-07-15-11:45:33.777.397 2025-07-15-11:45:33.779.449 -> 2025-07-15-11:45:33.780.493 2025-07-15-11:45:33.782.181 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.783.092 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 39 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.787.856 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 39; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 30, 31, 32, 33, 34, 35, 36, 37, 38, 39; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.751.413 2025-07-15-11:45:33.755.958 -> 2025-07-15-11:45:33.756.926 2025-07-15-11:45:33.759.239 -> 2025-07-15-11:45:33.760.207 2025-07-15-11:45:33.760.905 -> 2025-07-15-11:45:33.761.698 2025-07-15-11:45:33.764.298 -> 2025-07-15-11:45:33.765.188 2025-07-15-11:45:33.767.640 -> 2025-07-15-11:45:33.768.573 2025-07-15-11:45:33.771.736 -> 2025-07-15-11:45:33.772.669 2025-07-15-11:45:33.776.422 -> 2025-07-15-11:45:33.777.397 2025-07-15-11:45:33.779.449 -> 2025-07-15-11:45:33.780.493 2025-07-15-11:45:33.782.181 -> 2025-07-15-11:45:33.783.169 2025-07-15-11:45:33.787.655 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.788.433 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 40 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.792.620 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 40; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 31, 32, 33, 34, 35, 36, 37, 38, 39, 40; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.756.926 2025-07-15-11:45:33.759.239 -> 2025-07-15-11:45:33.760.207 2025-07-15-11:45:33.760.905 -> 2025-07-15-11:45:33.761.698 2025-07-15-11:45:33.764.298 -> 2025-07-15-11:45:33.765.188 2025-07-15-11:45:33.767.640 -> 2025-07-15-11:45:33.768.573 2025-07-15-11:45:33.771.736 -> 2025-07-15-11:45:33.772.669 2025-07-15-11:45:33.776.422 -> 2025-07-15-11:45:33.777.397 2025-07-15-11:45:33.779.449 -> 2025-07-15-11:45:33.780.493 2025-07-15-11:45:33.782.181 -> 2025-07-15-11:45:33.783.169 2025-07-15-11:45:33.787.655 -> 2025-07-15-11:45:33.788.502 2025-07-15-11:45:33.792.344 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.793.280 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 41 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.800.021 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 41; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 32, 33, 34, 35, 36, 37, 38, 39, 40, 41; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.760.207 2025-07-15-11:45:33.760.905 -> 2025-07-15-11:45:33.761.698 2025-07-15-11:45:33.764.298 -> 2025-07-15-11:45:33.765.188 2025-07-15-11:45:33.767.640 -> 2025-07-15-11:45:33.768.573 2025-07-15-11:45:33.771.736 -> 2025-07-15-11:45:33.772.669 2025-07-15-11:45:33.776.422 -> 2025-07-15-11:45:33.777.397 2025-07-15-11:45:33.779.449 -> 2025-07-15-11:45:33.780.493 2025-07-15-11:45:33.782.181 -> 2025-07-15-11:45:33.783.169 2025-07-15-11:45:33.787.655 -> 2025-07-15-11:45:33.788.502 2025-07-15-11:45:33.792.344 -> 2025-07-15-11:45:33.793.358 2025-07-15-11:45:33.799.752 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.800.589 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 42 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.801.826 [mindspore/ccsrc/frontend/optimizer/irpass/meta_fg_eliminate.cc:39] operator()] End expanding meta: J, change: 1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.801.946 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.meta_fg_expand.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.802.025 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.flash_sp_send_recv_attached [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.802.087 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.flash_sp_send_recv_attached.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.802.134 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.receive_attached [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.803.028 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.receive_attached.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.803.111 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.after_resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.803.160 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_after_resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.805.339 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.after_resolve.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.805.465 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_after_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.805.518 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r1_a_after_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.809.025 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_after_grad.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.809.153 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.renormalize [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.819.408 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:494] SendDataToAscend] Begin to send data to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.819.588 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:1195] PrintBeginInfoWhenFirstBatch] Loading dataset and begin to push first batch into device ... [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.819.972 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 0; host_queue: 0, 0; device_queue: 0; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> -1 push_start_time -> push_end_time 2025-07-15-11:45:33.819.540 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.825.123 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:1206] PrintEndInfoWhenFirstBatch] Loading dataset and push first batch into device successful. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.825.246 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 1 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.826.862 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 1; host_queue: 0, 0, 1, 0; device_queue: 0, 1; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time 2025-07-15-11:45:33.819.540 -> 2025-07-15-11:45:33.825.280 2025-07-15-11:45:33.826.572 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.827.467 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 2 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.828.419 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:433] Eval] Add root_func_graph_backup [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.829.706 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 2; host_queue: 0, 0, 1, 0, 0, 0; device_queue: 0, 1, 2; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time 2025-07-15-11:45:33.819.540 -> 2025-07-15-11:45:33.825.280 2025-07-15-11:45:33.826.572 -> 2025-07-15-11:45:33.827.569 2025-07-15-11:45:33.829.478 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.830.305 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 3 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.833.036 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 3; host_queue: 0, 0, 1, 0, 0, 0, 0, 0; device_queue: 0, 1, 2, 3; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time 2025-07-15-11:45:33.819.540 -> 2025-07-15-11:45:33.825.280 2025-07-15-11:45:33.826.572 -> 2025-07-15-11:45:33.827.569 2025-07-15-11:45:33.829.478 -> 2025-07-15-11:45:33.830.363 2025-07-15-11:45:33.832.821 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.833.676 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 4 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.835.388 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 42; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 6; device_queue: 33, 34, 35, 36, 37, 38, 39, 40, 41, 42; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.761.698 2025-07-15-11:45:33.764.298 -> 2025-07-15-11:45:33.765.188 2025-07-15-11:45:33.767.640 -> 2025-07-15-11:45:33.768.573 2025-07-15-11:45:33.771.736 -> 2025-07-15-11:45:33.772.669 2025-07-15-11:45:33.776.422 -> 2025-07-15-11:45:33.777.397 2025-07-15-11:45:33.779.449 -> 2025-07-15-11:45:33.780.493 2025-07-15-11:45:33.782.181 -> 2025-07-15-11:45:33.783.169 2025-07-15-11:45:33.787.655 -> 2025-07-15-11:45:33.788.502 2025-07-15-11:45:33.792.344 -> 2025-07-15-11:45:33.793.358 2025-07-15-11:45:33.799.752 -> 2025-07-15-11:45:33.800.647 2025-07-15-11:45:33.834.970 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.836.129 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 43 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.836.826 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 43; host_queue: 0, 0, 0, 0, 0, 0, 0, 6, 6, 5; device_queue: 34, 35, 36, 37, 38, 39, 40, 41, 42, 43; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.765.188 2025-07-15-11:45:33.767.640 -> 2025-07-15-11:45:33.768.573 2025-07-15-11:45:33.771.736 -> 2025-07-15-11:45:33.772.669 2025-07-15-11:45:33.776.422 -> 2025-07-15-11:45:33.777.397 2025-07-15-11:45:33.779.449 -> 2025-07-15-11:45:33.780.493 2025-07-15-11:45:33.782.181 -> 2025-07-15-11:45:33.783.169 2025-07-15-11:45:33.787.655 -> 2025-07-15-11:45:33.788.502 2025-07-15-11:45:33.792.344 -> 2025-07-15-11:45:33.793.358 2025-07-15-11:45:33.799.752 -> 2025-07-15-11:45:33.800.647 2025-07-15-11:45:33.834.970 -> 2025-07-15-11:45:33.836.261 2025-07-15-11:45:33.836.575 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.837.362 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 44 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.837.938 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 44; host_queue: 0, 0, 0, 0, 0, 6, 6, 5, 5, 4; device_queue: 35, 36, 37, 38, 39, 40, 41, 42, 43, 44; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.768.573 2025-07-15-11:45:33.771.736 -> 2025-07-15-11:45:33.772.669 2025-07-15-11:45:33.776.422 -> 2025-07-15-11:45:33.777.397 2025-07-15-11:45:33.779.449 -> 2025-07-15-11:45:33.780.493 2025-07-15-11:45:33.782.181 -> 2025-07-15-11:45:33.783.169 2025-07-15-11:45:33.787.655 -> 2025-07-15-11:45:33.788.502 2025-07-15-11:45:33.792.344 -> 2025-07-15-11:45:33.793.358 2025-07-15-11:45:33.799.752 -> 2025-07-15-11:45:33.800.647 2025-07-15-11:45:33.834.970 -> 2025-07-15-11:45:33.836.261 2025-07-15-11:45:33.836.575 -> 2025-07-15-11:45:33.837.432 2025-07-15-11:45:33.837.748 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.838.402 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 45 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.838.261 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 4; host_queue: 0, 0, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 0, 1, 2, 3, 4; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time 2025-07-15-11:45:33.819.540 -> 2025-07-15-11:45:33.825.280 2025-07-15-11:45:33.826.572 -> 2025-07-15-11:45:33.827.569 2025-07-15-11:45:33.829.478 -> 2025-07-15-11:45:33.830.363 2025-07-15-11:45:33.832.821 -> 2025-07-15-11:45:33.833.778 2025-07-15-11:45:33.838.045 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.838.818 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 5 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.838.846 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 45; host_queue: 0, 0, 0, 6, 6, 5, 5, 4, 4, 3; device_queue: 36, 37, 38, 39, 40, 41, 42, 43, 44, 45; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.772.669 2025-07-15-11:45:33.776.422 -> 2025-07-15-11:45:33.777.397 2025-07-15-11:45:33.779.449 -> 2025-07-15-11:45:33.780.493 2025-07-15-11:45:33.782.181 -> 2025-07-15-11:45:33.783.169 2025-07-15-11:45:33.787.655 -> 2025-07-15-11:45:33.788.502 2025-07-15-11:45:33.792.344 -> 2025-07-15-11:45:33.793.358 2025-07-15-11:45:33.799.752 -> 2025-07-15-11:45:33.800.647 2025-07-15-11:45:33.834.970 -> 2025-07-15-11:45:33.836.261 2025-07-15-11:45:33.836.575 -> 2025-07-15-11:45:33.837.432 2025-07-15-11:45:33.837.748 -> 2025-07-15-11:45:33.838.486 2025-07-15-11:45:33.838.711 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.839.297 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 46 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.839.706 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 46; host_queue: 0, 6, 6, 5, 5, 4, 4, 3, 3, 2; device_queue: 37, 38, 39, 40, 41, 42, 43, 44, 45, 46; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.777.397 2025-07-15-11:45:33.779.449 -> 2025-07-15-11:45:33.780.493 2025-07-15-11:45:33.782.181 -> 2025-07-15-11:45:33.783.169 2025-07-15-11:45:33.787.655 -> 2025-07-15-11:45:33.788.502 2025-07-15-11:45:33.792.344 -> 2025-07-15-11:45:33.793.358 2025-07-15-11:45:33.799.752 -> 2025-07-15-11:45:33.800.647 2025-07-15-11:45:33.834.970 -> 2025-07-15-11:45:33.836.261 2025-07-15-11:45:33.836.575 -> 2025-07-15-11:45:33.837.432 2025-07-15-11:45:33.837.748 -> 2025-07-15-11:45:33.838.486 2025-07-15-11:45:33.838.711 -> 2025-07-15-11:45:33.839.349 2025-07-15-11:45:33.839.565 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.840.153 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 47 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.840.646 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 47; host_queue: 6, 5, 5, 4, 4, 3, 3, 2, 3, 2; device_queue: 38, 39, 40, 41, 42, 43, 44, 45, 46, 47; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.780.493 2025-07-15-11:45:33.782.181 -> 2025-07-15-11:45:33.783.169 2025-07-15-11:45:33.787.655 -> 2025-07-15-11:45:33.788.502 2025-07-15-11:45:33.792.344 -> 2025-07-15-11:45:33.793.358 2025-07-15-11:45:33.799.752 -> 2025-07-15-11:45:33.800.647 2025-07-15-11:45:33.834.970 -> 2025-07-15-11:45:33.836.261 2025-07-15-11:45:33.836.575 -> 2025-07-15-11:45:33.837.432 2025-07-15-11:45:33.837.748 -> 2025-07-15-11:45:33.838.486 2025-07-15-11:45:33.838.711 -> 2025-07-15-11:45:33.839.349 2025-07-15-11:45:33.839.565 -> 2025-07-15-11:45:33.840.216 2025-07-15-11:45:33.840.495 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.841.109 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 48 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.841.862 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 48; host_queue: 5, 4, 4, 3, 3, 2, 3, 2, 2, 1; device_queue: 39, 40, 41, 42, 43, 44, 45, 46, 47, 48; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.783.169 2025-07-15-11:45:33.787.655 -> 2025-07-15-11:45:33.788.502 2025-07-15-11:45:33.792.344 -> 2025-07-15-11:45:33.793.358 2025-07-15-11:45:33.799.752 -> 2025-07-15-11:45:33.800.647 2025-07-15-11:45:33.834.970 -> 2025-07-15-11:45:33.836.261 2025-07-15-11:45:33.836.575 -> 2025-07-15-11:45:33.837.432 2025-07-15-11:45:33.837.748 -> 2025-07-15-11:45:33.838.486 2025-07-15-11:45:33.838.711 -> 2025-07-15-11:45:33.839.349 2025-07-15-11:45:33.839.565 -> 2025-07-15-11:45:33.840.216 2025-07-15-11:45:33.840.495 -> 2025-07-15-11:45:33.841.154 2025-07-15-11:45:33.841.491 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.842.400 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 49 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.842.808 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 49; host_queue: 4, 3, 3, 2, 3, 2, 2, 1, 1, 0; device_queue: 40, 41, 42, 43, 44, 45, 46, 47, 48, 49; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.788.502 2025-07-15-11:45:33.792.344 -> 2025-07-15-11:45:33.793.358 2025-07-15-11:45:33.799.752 -> 2025-07-15-11:45:33.800.647 2025-07-15-11:45:33.834.970 -> 2025-07-15-11:45:33.836.261 2025-07-15-11:45:33.836.575 -> 2025-07-15-11:45:33.837.432 2025-07-15-11:45:33.837.748 -> 2025-07-15-11:45:33.838.486 2025-07-15-11:45:33.838.711 -> 2025-07-15-11:45:33.839.349 2025-07-15-11:45:33.839.565 -> 2025-07-15-11:45:33.840.216 2025-07-15-11:45:33.840.495 -> 2025-07-15-11:45:33.841.154 2025-07-15-11:45:33.841.491 -> 2025-07-15-11:45:33.842.480 2025-07-15-11:45:33.842.679 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.843.170 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 50 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.843.927 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 5; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 0, 1, 2, 3, 4, 5; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time 2025-07-15-11:45:33.819.540 -> 2025-07-15-11:45:33.825.280 2025-07-15-11:45:33.826.572 -> 2025-07-15-11:45:33.827.569 2025-07-15-11:45:33.829.478 -> 2025-07-15-11:45:33.830.363 2025-07-15-11:45:33.832.821 -> 2025-07-15-11:45:33.833.778 2025-07-15-11:45:33.838.045 -> 2025-07-15-11:45:33.838.866 2025-07-15-11:45:33.843.748 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.844.216 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 50; host_queue: 3, 2, 3, 2, 2, 1, 1, 0, 0, 0; device_queue: 41, 42, 43, 44, 45, 46, 47, 48, 49, 50; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.793.358 2025-07-15-11:45:33.799.752 -> 2025-07-15-11:45:33.800.647 2025-07-15-11:45:33.834.970 -> 2025-07-15-11:45:33.836.261 2025-07-15-11:45:33.836.575 -> 2025-07-15-11:45:33.837.432 2025-07-15-11:45:33.837.748 -> 2025-07-15-11:45:33.838.486 2025-07-15-11:45:33.838.711 -> 2025-07-15-11:45:33.839.349 2025-07-15-11:45:33.839.565 -> 2025-07-15-11:45:33.840.216 2025-07-15-11:45:33.840.495 -> 2025-07-15-11:45:33.841.154 2025-07-15-11:45:33.841.491 -> 2025-07-15-11:45:33.842.480 2025-07-15-11:45:33.842.679 -> 2025-07-15-11:45:33.843.214 2025-07-15-11:45:33.844.083 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.844.359 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 6 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.844.566 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 51 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.848.991 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 6; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 0, 1, 2, 3, 4, 5, 6; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time 2025-07-15-11:45:33.819.540 -> 2025-07-15-11:45:33.825.280 2025-07-15-11:45:33.826.572 -> 2025-07-15-11:45:33.827.569 2025-07-15-11:45:33.829.478 -> 2025-07-15-11:45:33.830.363 2025-07-15-11:45:33.832.821 -> 2025-07-15-11:45:33.833.778 2025-07-15-11:45:33.838.045 -> 2025-07-15-11:45:33.838.866 2025-07-15-11:45:33.843.748 -> 2025-07-15-11:45:33.844.404 2025-07-15-11:45:33.848.777 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.849.595 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 7 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.850.285 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 51; host_queue: 3, 2, 2, 1, 1, 0, 0, 0, 0, 0; device_queue: 42, 43, 44, 45, 46, 47, 48, 49, 50, 51; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.800.647 2025-07-15-11:45:33.834.970 -> 2025-07-15-11:45:33.836.261 2025-07-15-11:45:33.836.575 -> 2025-07-15-11:45:33.837.432 2025-07-15-11:45:33.837.748 -> 2025-07-15-11:45:33.838.486 2025-07-15-11:45:33.838.711 -> 2025-07-15-11:45:33.839.349 2025-07-15-11:45:33.839.565 -> 2025-07-15-11:45:33.840.216 2025-07-15-11:45:33.840.495 -> 2025-07-15-11:45:33.841.154 2025-07-15-11:45:33.841.491 -> 2025-07-15-11:45:33.842.480 2025-07-15-11:45:33.842.679 -> 2025-07-15-11:45:33.843.214 2025-07-15-11:45:33.844.083 -> 2025-07-15-11:45:33.844.606 2025-07-15-11:45:33.850.067 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.850.896 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 52 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.854.218 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 52; host_queue: 2, 1, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 43, 44, 45, 46, 47, 48, 49, 50, 51, 52; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.836.261 2025-07-15-11:45:33.836.575 -> 2025-07-15-11:45:33.837.432 2025-07-15-11:45:33.837.748 -> 2025-07-15-11:45:33.838.486 2025-07-15-11:45:33.838.711 -> 2025-07-15-11:45:33.839.349 2025-07-15-11:45:33.839.565 -> 2025-07-15-11:45:33.840.216 2025-07-15-11:45:33.840.495 -> 2025-07-15-11:45:33.841.154 2025-07-15-11:45:33.841.491 -> 2025-07-15-11:45:33.842.480 2025-07-15-11:45:33.842.679 -> 2025-07-15-11:45:33.843.214 2025-07-15-11:45:33.844.083 -> 2025-07-15-11:45:33.844.606 2025-07-15-11:45:33.850.067 -> 2025-07-15-11:45:33.850.954 2025-07-15-11:45:33.854.003 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.854.197 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 7; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 0, 1, 2, 3, 4, 5, 6, 7; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time 2025-07-15-11:45:33.819.540 -> 2025-07-15-11:45:33.825.280 2025-07-15-11:45:33.826.572 -> 2025-07-15-11:45:33.827.569 2025-07-15-11:45:33.829.478 -> 2025-07-15-11:45:33.830.363 2025-07-15-11:45:33.832.821 -> 2025-07-15-11:45:33.833.778 2025-07-15-11:45:33.838.045 -> 2025-07-15-11:45:33.838.866 2025-07-15-11:45:33.843.748 -> 2025-07-15-11:45:33.844.404 2025-07-15-11:45:33.848.777 -> 2025-07-15-11:45:33.849.641 2025-07-15-11:45:33.854.002 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.854.705 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 53 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.854.737 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 8 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.858.662 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 8; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 0, 1, 2, 3, 4, 5, 6, 7, 8; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time 2025-07-15-11:45:33.819.540 -> 2025-07-15-11:45:33.825.280 2025-07-15-11:45:33.826.572 -> 2025-07-15-11:45:33.827.569 2025-07-15-11:45:33.829.478 -> 2025-07-15-11:45:33.830.363 2025-07-15-11:45:33.832.821 -> 2025-07-15-11:45:33.833.778 2025-07-15-11:45:33.838.045 -> 2025-07-15-11:45:33.838.866 2025-07-15-11:45:33.843.748 -> 2025-07-15-11:45:33.844.404 2025-07-15-11:45:33.848.777 -> 2025-07-15-11:45:33.849.641 2025-07-15-11:45:33.854.002 -> 2025-07-15-11:45:33.854.775 2025-07-15-11:45:33.858.345 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.859.242 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 9 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.862.716 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 9; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time 2025-07-15-11:45:33.819.540 -> 2025-07-15-11:45:33.825.280 2025-07-15-11:45:33.826.572 -> 2025-07-15-11:45:33.827.569 2025-07-15-11:45:33.829.478 -> 2025-07-15-11:45:33.830.363 2025-07-15-11:45:33.832.821 -> 2025-07-15-11:45:33.833.778 2025-07-15-11:45:33.838.045 -> 2025-07-15-11:45:33.838.866 2025-07-15-11:45:33.843.748 -> 2025-07-15-11:45:33.844.404 2025-07-15-11:45:33.848.777 -> 2025-07-15-11:45:33.849.641 2025-07-15-11:45:33.854.002 -> 2025-07-15-11:45:33.854.775 2025-07-15-11:45:33.858.345 -> 2025-07-15-11:45:33.859.304 2025-07-15-11:45:33.862.454 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.863.320 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 10 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.863.860 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 53; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 44, 45, 46, 47, 48, 49, 50, 51, 52, 53; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.837.432 2025-07-15-11:45:33.837.748 -> 2025-07-15-11:45:33.838.486 2025-07-15-11:45:33.838.711 -> 2025-07-15-11:45:33.839.349 2025-07-15-11:45:33.839.565 -> 2025-07-15-11:45:33.840.216 2025-07-15-11:45:33.840.495 -> 2025-07-15-11:45:33.841.154 2025-07-15-11:45:33.841.491 -> 2025-07-15-11:45:33.842.480 2025-07-15-11:45:33.842.679 -> 2025-07-15-11:45:33.843.214 2025-07-15-11:45:33.844.083 -> 2025-07-15-11:45:33.844.606 2025-07-15-11:45:33.850.067 -> 2025-07-15-11:45:33.850.954 2025-07-15-11:45:33.854.003 -> 2025-07-15-11:45:33.854.751 2025-07-15-11:45:33.863.602 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.864.404 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 54 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.868.392 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 54; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 45, 46, 47, 48, 49, 50, 51, 52, 53, 54; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.838.486 2025-07-15-11:45:33.838.711 -> 2025-07-15-11:45:33.839.349 2025-07-15-11:45:33.839.565 -> 2025-07-15-11:45:33.840.216 2025-07-15-11:45:33.840.495 -> 2025-07-15-11:45:33.841.154 2025-07-15-11:45:33.841.491 -> 2025-07-15-11:45:33.842.480 2025-07-15-11:45:33.842.679 -> 2025-07-15-11:45:33.843.214 2025-07-15-11:45:33.844.083 -> 2025-07-15-11:45:33.844.606 2025-07-15-11:45:33.850.067 -> 2025-07-15-11:45:33.850.954 2025-07-15-11:45:33.854.003 -> 2025-07-15-11:45:33.854.751 2025-07-15-11:45:33.863.602 -> 2025-07-15-11:45:33.864.466 2025-07-15-11:45:33.868.156 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.868.986 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 55 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.871.540 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 10; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.825.280 2025-07-15-11:45:33.826.572 -> 2025-07-15-11:45:33.827.569 2025-07-15-11:45:33.829.478 -> 2025-07-15-11:45:33.830.363 2025-07-15-11:45:33.832.821 -> 2025-07-15-11:45:33.833.778 2025-07-15-11:45:33.838.045 -> 2025-07-15-11:45:33.838.866 2025-07-15-11:45:33.843.748 -> 2025-07-15-11:45:33.844.404 2025-07-15-11:45:33.848.777 -> 2025-07-15-11:45:33.849.641 2025-07-15-11:45:33.854.002 -> 2025-07-15-11:45:33.854.775 2025-07-15-11:45:33.858.345 -> 2025-07-15-11:45:33.859.304 2025-07-15-11:45:33.862.454 -> 2025-07-15-11:45:33.863.382 2025-07-15-11:45:33.871.286 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.872.167 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 11 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.874.045 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 55; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 46, 47, 48, 49, 50, 51, 52, 53, 54, 55; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.839.349 2025-07-15-11:45:33.839.565 -> 2025-07-15-11:45:33.840.216 2025-07-15-11:45:33.840.495 -> 2025-07-15-11:45:33.841.154 2025-07-15-11:45:33.841.491 -> 2025-07-15-11:45:33.842.480 2025-07-15-11:45:33.842.679 -> 2025-07-15-11:45:33.843.214 2025-07-15-11:45:33.844.083 -> 2025-07-15-11:45:33.844.606 2025-07-15-11:45:33.850.067 -> 2025-07-15-11:45:33.850.954 2025-07-15-11:45:33.854.003 -> 2025-07-15-11:45:33.854.751 2025-07-15-11:45:33.863.602 -> 2025-07-15-11:45:33.864.466 2025-07-15-11:45:33.868.156 -> 2025-07-15-11:45:33.869.051 2025-07-15-11:45:33.873.805 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.875.199 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 11; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 2, 3, 4, 5, 6, 7, 8, 9, 10, 11; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.827.569 2025-07-15-11:45:33.829.478 -> 2025-07-15-11:45:33.830.363 2025-07-15-11:45:33.832.821 -> 2025-07-15-11:45:33.833.778 2025-07-15-11:45:33.838.045 -> 2025-07-15-11:45:33.838.866 2025-07-15-11:45:33.843.748 -> 2025-07-15-11:45:33.844.404 2025-07-15-11:45:33.848.777 -> 2025-07-15-11:45:33.849.641 2025-07-15-11:45:33.854.002 -> 2025-07-15-11:45:33.854.775 2025-07-15-11:45:33.858.345 -> 2025-07-15-11:45:33.859.304 2025-07-15-11:45:33.862.454 -> 2025-07-15-11:45:33.863.382 2025-07-15-11:45:33.871.286 -> 2025-07-15-11:45:33.872.230 2025-07-15-11:45:33.874.827 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.875.765 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 12 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.875.789 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 56 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.879.322 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 12; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 3, 4, 5, 6, 7, 8, 9, 10, 11, 12; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.830.363 2025-07-15-11:45:33.832.821 -> 2025-07-15-11:45:33.833.778 2025-07-15-11:45:33.838.045 -> 2025-07-15-11:45:33.838.866 2025-07-15-11:45:33.843.748 -> 2025-07-15-11:45:33.844.404 2025-07-15-11:45:33.848.777 -> 2025-07-15-11:45:33.849.641 2025-07-15-11:45:33.854.002 -> 2025-07-15-11:45:33.854.775 2025-07-15-11:45:33.858.345 -> 2025-07-15-11:45:33.859.304 2025-07-15-11:45:33.862.454 -> 2025-07-15-11:45:33.863.382 2025-07-15-11:45:33.871.286 -> 2025-07-15-11:45:33.872.230 2025-07-15-11:45:33.874.827 -> 2025-07-15-11:45:33.875.829 2025-07-15-11:45:33.878.916 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.879.901 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 13 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.880.627 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 56; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 47, 48, 49, 50, 51, 52, 53, 54, 55, 56; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.840.216 2025-07-15-11:45:33.840.495 -> 2025-07-15-11:45:33.841.154 2025-07-15-11:45:33.841.491 -> 2025-07-15-11:45:33.842.480 2025-07-15-11:45:33.842.679 -> 2025-07-15-11:45:33.843.214 2025-07-15-11:45:33.844.083 -> 2025-07-15-11:45:33.844.606 2025-07-15-11:45:33.850.067 -> 2025-07-15-11:45:33.850.954 2025-07-15-11:45:33.854.003 -> 2025-07-15-11:45:33.854.751 2025-07-15-11:45:33.863.602 -> 2025-07-15-11:45:33.864.466 2025-07-15-11:45:33.868.156 -> 2025-07-15-11:45:33.869.051 2025-07-15-11:45:33.873.805 -> 2025-07-15-11:45:33.875.870 2025-07-15-11:45:33.880.401 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.881.128 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 57 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.883.581 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 13; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 4, 5, 6, 7, 8, 9, 10, 11, 12, 13; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.833.778 2025-07-15-11:45:33.838.045 -> 2025-07-15-11:45:33.838.866 2025-07-15-11:45:33.843.748 -> 2025-07-15-11:45:33.844.404 2025-07-15-11:45:33.848.777 -> 2025-07-15-11:45:33.849.641 2025-07-15-11:45:33.854.002 -> 2025-07-15-11:45:33.854.775 2025-07-15-11:45:33.858.345 -> 2025-07-15-11:45:33.859.304 2025-07-15-11:45:33.862.454 -> 2025-07-15-11:45:33.863.382 2025-07-15-11:45:33.871.286 -> 2025-07-15-11:45:33.872.230 2025-07-15-11:45:33.874.827 -> 2025-07-15-11:45:33.875.829 2025-07-15-11:45:33.878.916 -> 2025-07-15-11:45:33.879.967 2025-07-15-11:45:33.883.310 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.884.218 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 14 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.885.601 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 57; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 48, 49, 50, 51, 52, 53, 54, 55, 56, 57; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.841.154 2025-07-15-11:45:33.841.491 -> 2025-07-15-11:45:33.842.480 2025-07-15-11:45:33.842.679 -> 2025-07-15-11:45:33.843.214 2025-07-15-11:45:33.844.083 -> 2025-07-15-11:45:33.844.606 2025-07-15-11:45:33.850.067 -> 2025-07-15-11:45:33.850.954 2025-07-15-11:45:33.854.003 -> 2025-07-15-11:45:33.854.751 2025-07-15-11:45:33.863.602 -> 2025-07-15-11:45:33.864.466 2025-07-15-11:45:33.868.156 -> 2025-07-15-11:45:33.869.051 2025-07-15-11:45:33.873.805 -> 2025-07-15-11:45:33.875.870 2025-07-15-11:45:33.880.401 -> 2025-07-15-11:45:33.881.204 2025-07-15-11:45:33.885.381 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.886.104 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 58 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.887.936 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 14; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 5, 6, 7, 8, 9, 10, 11, 12, 13, 14; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.838.866 2025-07-15-11:45:33.843.748 -> 2025-07-15-11:45:33.844.404 2025-07-15-11:45:33.848.777 -> 2025-07-15-11:45:33.849.641 2025-07-15-11:45:33.854.002 -> 2025-07-15-11:45:33.854.775 2025-07-15-11:45:33.858.345 -> 2025-07-15-11:45:33.859.304 2025-07-15-11:45:33.862.454 -> 2025-07-15-11:45:33.863.382 2025-07-15-11:45:33.871.286 -> 2025-07-15-11:45:33.872.230 2025-07-15-11:45:33.874.827 -> 2025-07-15-11:45:33.875.829 2025-07-15-11:45:33.878.916 -> 2025-07-15-11:45:33.879.967 2025-07-15-11:45:33.883.310 -> 2025-07-15-11:45:33.884.287 2025-07-15-11:45:33.887.689 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.888.610 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 15 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.888.861 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 58; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 49, 50, 51, 52, 53, 54, 55, 56, 57, 58; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.842.480 2025-07-15-11:45:33.842.679 -> 2025-07-15-11:45:33.843.214 2025-07-15-11:45:33.844.083 -> 2025-07-15-11:45:33.844.606 2025-07-15-11:45:33.850.067 -> 2025-07-15-11:45:33.850.954 2025-07-15-11:45:33.854.003 -> 2025-07-15-11:45:33.854.751 2025-07-15-11:45:33.863.602 -> 2025-07-15-11:45:33.864.466 2025-07-15-11:45:33.868.156 -> 2025-07-15-11:45:33.869.051 2025-07-15-11:45:33.873.805 -> 2025-07-15-11:45:33.875.870 2025-07-15-11:45:33.880.401 -> 2025-07-15-11:45:33.881.204 2025-07-15-11:45:33.885.381 -> 2025-07-15-11:45:33.886.152 2025-07-15-11:45:33.888.641 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.889.356 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 59 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.892.988 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 59; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 50, 51, 52, 53, 54, 55, 56, 57, 58, 59; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.843.214 2025-07-15-11:45:33.844.083 -> 2025-07-15-11:45:33.844.606 2025-07-15-11:45:33.850.067 -> 2025-07-15-11:45:33.850.954 2025-07-15-11:45:33.854.003 -> 2025-07-15-11:45:33.854.751 2025-07-15-11:45:33.863.602 -> 2025-07-15-11:45:33.864.466 2025-07-15-11:45:33.868.156 -> 2025-07-15-11:45:33.869.051 2025-07-15-11:45:33.873.805 -> 2025-07-15-11:45:33.875.870 2025-07-15-11:45:33.880.401 -> 2025-07-15-11:45:33.881.204 2025-07-15-11:45:33.885.381 -> 2025-07-15-11:45:33.886.152 2025-07-15-11:45:33.888.641 -> 2025-07-15-11:45:33.889.398 2025-07-15-11:45:33.892.747 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.893.530 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 60 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.894.978 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 15; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 6, 7, 8, 9, 10, 11, 12, 13, 14, 15; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.844.404 2025-07-15-11:45:33.848.777 -> 2025-07-15-11:45:33.849.641 2025-07-15-11:45:33.854.002 -> 2025-07-15-11:45:33.854.775 2025-07-15-11:45:33.858.345 -> 2025-07-15-11:45:33.859.304 2025-07-15-11:45:33.862.454 -> 2025-07-15-11:45:33.863.382 2025-07-15-11:45:33.871.286 -> 2025-07-15-11:45:33.872.230 2025-07-15-11:45:33.874.827 -> 2025-07-15-11:45:33.875.829 2025-07-15-11:45:33.878.916 -> 2025-07-15-11:45:33.879.967 2025-07-15-11:45:33.883.310 -> 2025-07-15-11:45:33.884.287 2025-07-15-11:45:33.887.689 -> 2025-07-15-11:45:33.888.688 2025-07-15-11:45:33.894.703 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.895.652 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 16 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:33.896.535 [mindspore/ccsrc/pipeline/jit/ps/action.cc:316] AbstractAnalyze] function call depth: 0, simulate call depth: 0 [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.897.232 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:313] Run] Specialize set top func graph context: {FuncGraph: 1_mindspore_train_dataset_helper__DataWrapper_construct_355 Args: [0]: AbstractRefTensor(key: conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [1]: AbstractRefTensor(key: conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [2]: AbstractRefTensor(key: fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [3]: AbstractRefTensor(key: fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [4]: AbstractRefTensor(key: fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [5]: AbstractRefTensor(key: fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [6]: AbstractRefTensor(key: fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [7]: AbstractRefTensor(key: fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [8]: AbstractRefTensor(key: global_step, ref_value: AbstractRefTensor(shape: (1), element: AbstractScalar(Type: Int32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [9]: AbstractRefTensor(key: momentum, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [10]: AbstractRefTensor(key: learning_rate, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [11]: AbstractRefTensor(key: moments.conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [12]: AbstractRefTensor(key: moments.conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [13]: AbstractRefTensor(key: moments.fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [14]: AbstractRefTensor(key: moments.fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [15]: AbstractRefTensor(key: moments.fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [16]: AbstractRefTensor(key: moments.fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [17]: AbstractRefTensor(key: moments.fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [18]: AbstractRefTensor(key: moments.fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), Parent: } [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.898.008 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 16; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 7, 8, 9, 10, 11, 12, 13, 14, 15, 16; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.849.641 2025-07-15-11:45:33.854.002 -> 2025-07-15-11:45:33.854.775 2025-07-15-11:45:33.858.345 -> 2025-07-15-11:45:33.859.304 2025-07-15-11:45:33.862.454 -> 2025-07-15-11:45:33.863.382 2025-07-15-11:45:33.871.286 -> 2025-07-15-11:45:33.872.230 2025-07-15-11:45:33.874.827 -> 2025-07-15-11:45:33.875.829 2025-07-15-11:45:33.878.916 -> 2025-07-15-11:45:33.879.967 2025-07-15-11:45:33.883.310 -> 2025-07-15-11:45:33.884.287 2025-07-15-11:45:33.887.689 -> 2025-07-15-11:45:33.888.688 2025-07-15-11:45:33.894.703 -> 2025-07-15-11:45:33.895.715 2025-07-15-11:45:33.897.744 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.898.563 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 17 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.899.060 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 60; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 51, 52, 53, 54, 55, 56, 57, 58, 59, 60; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.844.606 2025-07-15-11:45:33.850.067 -> 2025-07-15-11:45:33.850.954 2025-07-15-11:45:33.854.003 -> 2025-07-15-11:45:33.854.751 2025-07-15-11:45:33.863.602 -> 2025-07-15-11:45:33.864.466 2025-07-15-11:45:33.868.156 -> 2025-07-15-11:45:33.869.051 2025-07-15-11:45:33.873.805 -> 2025-07-15-11:45:33.875.870 2025-07-15-11:45:33.880.401 -> 2025-07-15-11:45:33.881.204 2025-07-15-11:45:33.885.381 -> 2025-07-15-11:45:33.886.152 2025-07-15-11:45:33.888.641 -> 2025-07-15-11:45:33.889.398 2025-07-15-11:45:33.892.747 -> 2025-07-15-11:45:33.893.571 2025-07-15-11:45:33.898.890 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.899.468 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 61 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.901.094 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 17; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 8, 9, 10, 11, 12, 13, 14, 15, 16, 17; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.854.775 2025-07-15-11:45:33.858.345 -> 2025-07-15-11:45:33.859.304 2025-07-15-11:45:33.862.454 -> 2025-07-15-11:45:33.863.382 2025-07-15-11:45:33.871.286 -> 2025-07-15-11:45:33.872.230 2025-07-15-11:45:33.874.827 -> 2025-07-15-11:45:33.875.829 2025-07-15-11:45:33.878.916 -> 2025-07-15-11:45:33.879.967 2025-07-15-11:45:33.883.310 -> 2025-07-15-11:45:33.884.287 2025-07-15-11:45:33.887.689 -> 2025-07-15-11:45:33.888.688 2025-07-15-11:45:33.894.703 -> 2025-07-15-11:45:33.895.715 2025-07-15-11:45:33.897.744 -> 2025-07-15-11:45:33.898.621 2025-07-15-11:45:33.900.831 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.901.674 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 18 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.906.545 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 18; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 9, 10, 11, 12, 13, 14, 15, 16, 17, 18; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.859.304 2025-07-15-11:45:33.862.454 -> 2025-07-15-11:45:33.863.382 2025-07-15-11:45:33.871.286 -> 2025-07-15-11:45:33.872.230 2025-07-15-11:45:33.874.827 -> 2025-07-15-11:45:33.875.829 2025-07-15-11:45:33.878.916 -> 2025-07-15-11:45:33.879.967 2025-07-15-11:45:33.883.310 -> 2025-07-15-11:45:33.884.287 2025-07-15-11:45:33.887.689 -> 2025-07-15-11:45:33.888.688 2025-07-15-11:45:33.894.703 -> 2025-07-15-11:45:33.895.715 2025-07-15-11:45:33.897.744 -> 2025-07-15-11:45:33.898.621 2025-07-15-11:45:33.900.831 -> 2025-07-15-11:45:33.901.742 2025-07-15-11:45:33.906.258 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.907.167 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 19 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.909.506 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 19; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 10, 11, 12, 13, 14, 15, 16, 17, 18, 19; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.863.382 2025-07-15-11:45:33.871.286 -> 2025-07-15-11:45:33.872.230 2025-07-15-11:45:33.874.827 -> 2025-07-15-11:45:33.875.829 2025-07-15-11:45:33.878.916 -> 2025-07-15-11:45:33.879.967 2025-07-15-11:45:33.883.310 -> 2025-07-15-11:45:33.884.287 2025-07-15-11:45:33.887.689 -> 2025-07-15-11:45:33.888.688 2025-07-15-11:45:33.894.703 -> 2025-07-15-11:45:33.895.715 2025-07-15-11:45:33.897.744 -> 2025-07-15-11:45:33.898.621 2025-07-15-11:45:33.900.831 -> 2025-07-15-11:45:33.901.742 2025-07-15-11:45:33.906.258 -> 2025-07-15-11:45:33.907.224 2025-07-15-11:45:33.909.045 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.910.214 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 20 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.916.575 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 61; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 52, 53, 54, 55, 56, 57, 58, 59, 60, 61; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.850.954 2025-07-15-11:45:33.854.003 -> 2025-07-15-11:45:33.854.751 2025-07-15-11:45:33.863.602 -> 2025-07-15-11:45:33.864.466 2025-07-15-11:45:33.868.156 -> 2025-07-15-11:45:33.869.051 2025-07-15-11:45:33.873.805 -> 2025-07-15-11:45:33.875.870 2025-07-15-11:45:33.880.401 -> 2025-07-15-11:45:33.881.204 2025-07-15-11:45:33.885.381 -> 2025-07-15-11:45:33.886.152 2025-07-15-11:45:33.888.641 -> 2025-07-15-11:45:33.889.398 2025-07-15-11:45:33.892.747 -> 2025-07-15-11:45:33.893.571 2025-07-15-11:45:33.898.890 -> 2025-07-15-11:45:33.899.504 2025-07-15-11:45:33.916.346 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.917.109 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 62 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.929.372 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 62; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 53, 54, 55, 56, 57, 58, 59, 60, 61, 62; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.854.751 2025-07-15-11:45:33.863.602 -> 2025-07-15-11:45:33.864.466 2025-07-15-11:45:33.868.156 -> 2025-07-15-11:45:33.869.051 2025-07-15-11:45:33.873.805 -> 2025-07-15-11:45:33.875.870 2025-07-15-11:45:33.880.401 -> 2025-07-15-11:45:33.881.204 2025-07-15-11:45:33.885.381 -> 2025-07-15-11:45:33.886.152 2025-07-15-11:45:33.888.641 -> 2025-07-15-11:45:33.889.398 2025-07-15-11:45:33.892.747 -> 2025-07-15-11:45:33.893.571 2025-07-15-11:45:33.898.890 -> 2025-07-15-11:45:33.899.504 2025-07-15-11:45:33.916.346 -> 2025-07-15-11:45:33.917.163 2025-07-15-11:45:33.928.803 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.929.978 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 63 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.936.263 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 20; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 4; device_queue: 11, 12, 13, 14, 15, 16, 17, 18, 19, 20; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.872.230 2025-07-15-11:45:33.874.827 -> 2025-07-15-11:45:33.875.829 2025-07-15-11:45:33.878.916 -> 2025-07-15-11:45:33.879.967 2025-07-15-11:45:33.883.310 -> 2025-07-15-11:45:33.884.287 2025-07-15-11:45:33.887.689 -> 2025-07-15-11:45:33.888.688 2025-07-15-11:45:33.894.703 -> 2025-07-15-11:45:33.895.715 2025-07-15-11:45:33.897.744 -> 2025-07-15-11:45:33.898.621 2025-07-15-11:45:33.900.831 -> 2025-07-15-11:45:33.901.742 2025-07-15-11:45:33.906.258 -> 2025-07-15-11:45:33.907.224 2025-07-15-11:45:33.909.045 -> 2025-07-15-11:45:33.910.281 2025-07-15-11:45:33.936.002 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.936.974 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 21 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.937.460 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 21; host_queue: 0, 0, 0, 0, 0, 0, 0, 4, 5, 4; device_queue: 12, 13, 14, 15, 16, 17, 18, 19, 20, 21; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.875.829 2025-07-15-11:45:33.878.916 -> 2025-07-15-11:45:33.879.967 2025-07-15-11:45:33.883.310 -> 2025-07-15-11:45:33.884.287 2025-07-15-11:45:33.887.689 -> 2025-07-15-11:45:33.888.688 2025-07-15-11:45:33.894.703 -> 2025-07-15-11:45:33.895.715 2025-07-15-11:45:33.897.744 -> 2025-07-15-11:45:33.898.621 2025-07-15-11:45:33.900.831 -> 2025-07-15-11:45:33.901.742 2025-07-15-11:45:33.906.258 -> 2025-07-15-11:45:33.907.224 2025-07-15-11:45:33.909.045 -> 2025-07-15-11:45:33.910.281 2025-07-15-11:45:33.936.002 -> 2025-07-15-11:45:33.937.074 2025-07-15-11:45:33.937.320 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.938.699 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 22 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.944.854 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 63; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 1; device_queue: 54, 55, 56, 57, 58, 59, 60, 61, 62, 63; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.864.466 2025-07-15-11:45:33.868.156 -> 2025-07-15-11:45:33.869.051 2025-07-15-11:45:33.873.805 -> 2025-07-15-11:45:33.875.870 2025-07-15-11:45:33.880.401 -> 2025-07-15-11:45:33.881.204 2025-07-15-11:45:33.885.381 -> 2025-07-15-11:45:33.886.152 2025-07-15-11:45:33.888.641 -> 2025-07-15-11:45:33.889.398 2025-07-15-11:45:33.892.747 -> 2025-07-15-11:45:33.893.571 2025-07-15-11:45:33.898.890 -> 2025-07-15-11:45:33.899.504 2025-07-15-11:45:33.916.346 -> 2025-07-15-11:45:33.917.163 2025-07-15-11:45:33.928.803 -> 2025-07-15-11:45:33.930.036 2025-07-15-11:45:33.944.566 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.945.501 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 64 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.945.858 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 64; host_queue: 0, 0, 0, 0, 0, 0, 0, 1, 1, 0; device_queue: 55, 56, 57, 58, 59, 60, 61, 62, 63, 64; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.869.051 2025-07-15-11:45:33.873.805 -> 2025-07-15-11:45:33.875.870 2025-07-15-11:45:33.880.401 -> 2025-07-15-11:45:33.881.204 2025-07-15-11:45:33.885.381 -> 2025-07-15-11:45:33.886.152 2025-07-15-11:45:33.888.641 -> 2025-07-15-11:45:33.889.398 2025-07-15-11:45:33.892.747 -> 2025-07-15-11:45:33.893.571 2025-07-15-11:45:33.898.890 -> 2025-07-15-11:45:33.899.504 2025-07-15-11:45:33.916.346 -> 2025-07-15-11:45:33.917.163 2025-07-15-11:45:33.928.803 -> 2025-07-15-11:45:33.930.036 2025-07-15-11:45:33.944.566 -> 2025-07-15-11:45:33.945.555 2025-07-15-11:45:33.945.717 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.946.232 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 65 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.949.200 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 65; host_queue: 0, 0, 0, 0, 0, 1, 1, 0, 0, 0; device_queue: 56, 57, 58, 59, 60, 61, 62, 63, 64, 65; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.875.870 2025-07-15-11:45:33.880.401 -> 2025-07-15-11:45:33.881.204 2025-07-15-11:45:33.885.381 -> 2025-07-15-11:45:33.886.152 2025-07-15-11:45:33.888.641 -> 2025-07-15-11:45:33.889.398 2025-07-15-11:45:33.892.747 -> 2025-07-15-11:45:33.893.571 2025-07-15-11:45:33.898.890 -> 2025-07-15-11:45:33.899.504 2025-07-15-11:45:33.916.346 -> 2025-07-15-11:45:33.917.163 2025-07-15-11:45:33.928.803 -> 2025-07-15-11:45:33.930.036 2025-07-15-11:45:33.944.566 -> 2025-07-15-11:45:33.945.555 2025-07-15-11:45:33.945.717 -> 2025-07-15-11:45:33.946.277 2025-07-15-11:45:33.949.007 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.949.710 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 66 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.953.160 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 66; host_queue: 0, 0, 0, 1, 1, 0, 0, 0, 0, 0; device_queue: 57, 58, 59, 60, 61, 62, 63, 64, 65, 66; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.881.204 2025-07-15-11:45:33.885.381 -> 2025-07-15-11:45:33.886.152 2025-07-15-11:45:33.888.641 -> 2025-07-15-11:45:33.889.398 2025-07-15-11:45:33.892.747 -> 2025-07-15-11:45:33.893.571 2025-07-15-11:45:33.898.890 -> 2025-07-15-11:45:33.899.504 2025-07-15-11:45:33.916.346 -> 2025-07-15-11:45:33.917.163 2025-07-15-11:45:33.928.803 -> 2025-07-15-11:45:33.930.036 2025-07-15-11:45:33.944.566 -> 2025-07-15-11:45:33.945.555 2025-07-15-11:45:33.945.717 -> 2025-07-15-11:45:33.946.277 2025-07-15-11:45:33.949.007 -> 2025-07-15-11:45:33.949.751 2025-07-15-11:45:33.952.937 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.954.660 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 67 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.954.652 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 22; host_queue: 0, 0, 0, 0, 0, 4, 5, 4, 4, 5; device_queue: 13, 14, 15, 16, 17, 18, 19, 20, 21, 22; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.879.967 2025-07-15-11:45:33.883.310 -> 2025-07-15-11:45:33.884.287 2025-07-15-11:45:33.887.689 -> 2025-07-15-11:45:33.888.688 2025-07-15-11:45:33.894.703 -> 2025-07-15-11:45:33.895.715 2025-07-15-11:45:33.897.744 -> 2025-07-15-11:45:33.898.621 2025-07-15-11:45:33.900.831 -> 2025-07-15-11:45:33.901.742 2025-07-15-11:45:33.906.258 -> 2025-07-15-11:45:33.907.224 2025-07-15-11:45:33.909.045 -> 2025-07-15-11:45:33.910.281 2025-07-15-11:45:33.936.002 -> 2025-07-15-11:45:33.937.074 2025-07-15-11:45:33.937.320 -> 2025-07-15-11:45:33.938.797 2025-07-15-11:45:33.950.543 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.957.604 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 67; host_queue: 0, 1, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 58, 59, 60, 61, 62, 63, 64, 65, 66, 67; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.886.152 2025-07-15-11:45:33.888.641 -> 2025-07-15-11:45:33.889.398 2025-07-15-11:45:33.892.747 -> 2025-07-15-11:45:33.893.571 2025-07-15-11:45:33.898.890 -> 2025-07-15-11:45:33.899.504 2025-07-15-11:45:33.916.346 -> 2025-07-15-11:45:33.917.163 2025-07-15-11:45:33.928.803 -> 2025-07-15-11:45:33.930.036 2025-07-15-11:45:33.944.566 -> 2025-07-15-11:45:33.945.555 2025-07-15-11:45:33.945.717 -> 2025-07-15-11:45:33.946.277 2025-07-15-11:45:33.949.007 -> 2025-07-15-11:45:33.949.751 2025-07-15-11:45:33.952.937 -> 2025-07-15-11:45:33.954.734 2025-07-15-11:45:33.957.252 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.958.142 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 68 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.959.226 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 23 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.959.916 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 23; host_queue: 0, 0, 0, 4, 5, 4, 4, 5, 5, 4; device_queue: 14, 15, 16, 17, 18, 19, 20, 21, 22, 23; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.884.287 2025-07-15-11:45:33.887.689 -> 2025-07-15-11:45:33.888.688 2025-07-15-11:45:33.894.703 -> 2025-07-15-11:45:33.895.715 2025-07-15-11:45:33.897.744 -> 2025-07-15-11:45:33.898.621 2025-07-15-11:45:33.900.831 -> 2025-07-15-11:45:33.901.742 2025-07-15-11:45:33.906.258 -> 2025-07-15-11:45:33.907.224 2025-07-15-11:45:33.909.045 -> 2025-07-15-11:45:33.910.281 2025-07-15-11:45:33.936.002 -> 2025-07-15-11:45:33.937.074 2025-07-15-11:45:33.937.320 -> 2025-07-15-11:45:33.938.797 2025-07-15-11:45:33.950.543 -> 2025-07-15-11:45:33.959.326 2025-07-15-11:45:33.959.760 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.960.223 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.renormalize.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.960.359 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.add_forward_monad_depend [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.960.415 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 24 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.960.894 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 24; host_queue: 0, 4, 5, 4, 4, 5, 5, 4, 4, 3; device_queue: 15, 16, 17, 18, 19, 20, 21, 22, 23, 24; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.888.688 2025-07-15-11:45:33.894.703 -> 2025-07-15-11:45:33.895.715 2025-07-15-11:45:33.897.744 -> 2025-07-15-11:45:33.898.621 2025-07-15-11:45:33.900.831 -> 2025-07-15-11:45:33.901.742 2025-07-15-11:45:33.906.258 -> 2025-07-15-11:45:33.907.224 2025-07-15-11:45:33.909.045 -> 2025-07-15-11:45:33.910.281 2025-07-15-11:45:33.936.002 -> 2025-07-15-11:45:33.937.074 2025-07-15-11:45:33.937.320 -> 2025-07-15-11:45:33.938.797 2025-07-15-11:45:33.950.543 -> 2025-07-15-11:45:33.959.326 2025-07-15-11:45:33.959.760 -> 2025-07-15-11:45:33.960.462 2025-07-15-11:45:33.960.742 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.961.066 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.add_forward_monad_depend.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.961.164 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.auto_monad_grad [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.961.314 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 25 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.961.385 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.auto_monad_grad.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.961.439 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.auto_monad_eliminator [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.961.856 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 25; host_queue: 5, 4, 4, 5, 5, 4, 4, 3, 3, 2; device_queue: 16, 17, 18, 19, 20, 21, 22, 23, 24, 25; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.895.715 2025-07-15-11:45:33.897.744 -> 2025-07-15-11:45:33.898.621 2025-07-15-11:45:33.900.831 -> 2025-07-15-11:45:33.901.742 2025-07-15-11:45:33.906.258 -> 2025-07-15-11:45:33.907.224 2025-07-15-11:45:33.909.045 -> 2025-07-15-11:45:33.910.281 2025-07-15-11:45:33.936.002 -> 2025-07-15-11:45:33.937.074 2025-07-15-11:45:33.937.320 -> 2025-07-15-11:45:33.938.797 2025-07-15-11:45:33.950.543 -> 2025-07-15-11:45:33.959.326 2025-07-15-11:45:33.959.760 -> 2025-07-15-11:45:33.960.462 2025-07-15-11:45:33.960.742 -> 2025-07-15-11:45:33.961.356 2025-07-15-11:45:33.961.653 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.962.315 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 26 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.962.341 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 68; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 59, 60, 61, 62, 63, 64, 65, 66, 67, 68; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.889.398 2025-07-15-11:45:33.892.747 -> 2025-07-15-11:45:33.893.571 2025-07-15-11:45:33.898.890 -> 2025-07-15-11:45:33.899.504 2025-07-15-11:45:33.916.346 -> 2025-07-15-11:45:33.917.163 2025-07-15-11:45:33.928.803 -> 2025-07-15-11:45:33.930.036 2025-07-15-11:45:33.944.566 -> 2025-07-15-11:45:33.945.555 2025-07-15-11:45:33.945.717 -> 2025-07-15-11:45:33.946.277 2025-07-15-11:45:33.949.007 -> 2025-07-15-11:45:33.949.751 2025-07-15-11:45:33.952.937 -> 2025-07-15-11:45:33.954.734 2025-07-15-11:45:33.957.252 -> 2025-07-15-11:45:33.958.194 2025-07-15-11:45:33.961.927 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.962.787 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 26; host_queue: 4, 5, 5, 4, 4, 3, 3, 2, 2, 1; device_queue: 17, 18, 19, 20, 21, 22, 23, 24, 25, 26; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.898.621 2025-07-15-11:45:33.900.831 -> 2025-07-15-11:45:33.901.742 2025-07-15-11:45:33.906.258 -> 2025-07-15-11:45:33.907.224 2025-07-15-11:45:33.909.045 -> 2025-07-15-11:45:33.910.281 2025-07-15-11:45:33.936.002 -> 2025-07-15-11:45:33.937.074 2025-07-15-11:45:33.937.320 -> 2025-07-15-11:45:33.938.797 2025-07-15-11:45:33.950.543 -> 2025-07-15-11:45:33.959.326 2025-07-15-11:45:33.959.760 -> 2025-07-15-11:45:33.960.462 2025-07-15-11:45:33.960.742 -> 2025-07-15-11:45:33.961.356 2025-07-15-11:45:33.961.653 -> 2025-07-15-11:45:33.962.358 2025-07-15-11:45:33.962.628 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.963.792 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 27 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.963.797 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 69 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.963.920 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.auto_monad_eliminator.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.964.053 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.cse [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.967.999 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 69; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 60, 61, 62, 63, 64, 65, 66, 67, 68, 69; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.893.571 2025-07-15-11:45:33.898.890 -> 2025-07-15-11:45:33.899.504 2025-07-15-11:45:33.916.346 -> 2025-07-15-11:45:33.917.163 2025-07-15-11:45:33.928.803 -> 2025-07-15-11:45:33.930.036 2025-07-15-11:45:33.944.566 -> 2025-07-15-11:45:33.945.555 2025-07-15-11:45:33.945.717 -> 2025-07-15-11:45:33.946.277 2025-07-15-11:45:33.949.007 -> 2025-07-15-11:45:33.949.751 2025-07-15-11:45:33.952.937 -> 2025-07-15-11:45:33.954.734 2025-07-15-11:45:33.957.252 -> 2025-07-15-11:45:33.958.194 2025-07-15-11:45:33.961.927 -> 2025-07-15-11:45:33.963.848 2025-07-15-11:45:33.967.770 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.968.565 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 70 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.968.923 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.cse.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.969.071 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r1.j0.a_3 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.969.130 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r1_a_3 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.969.176 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.969.307 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 27; host_queue: 5, 4, 4, 3, 3, 2, 2, 1, 1, 0; device_queue: 18, 19, 20, 21, 22, 23, 24, 25, 26, 27; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.901.742 2025-07-15-11:45:33.906.258 -> 2025-07-15-11:45:33.907.224 2025-07-15-11:45:33.909.045 -> 2025-07-15-11:45:33.910.281 2025-07-15-11:45:33.936.002 -> 2025-07-15-11:45:33.937.074 2025-07-15-11:45:33.937.320 -> 2025-07-15-11:45:33.938.797 2025-07-15-11:45:33.950.543 -> 2025-07-15-11:45:33.959.326 2025-07-15-11:45:33.959.760 -> 2025-07-15-11:45:33.960.462 2025-07-15-11:45:33.960.742 -> 2025-07-15-11:45:33.961.356 2025-07-15-11:45:33.961.653 -> 2025-07-15-11:45:33.962.358 2025-07-15-11:45:33.962.628 -> 2025-07-15-11:45:33.963.846 2025-07-15-11:45:33.969.065 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.969.768 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 28 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.971.259 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 70; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 61, 62, 63, 64, 65, 66, 67, 68, 69, 70; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.899.504 2025-07-15-11:45:33.916.346 -> 2025-07-15-11:45:33.917.163 2025-07-15-11:45:33.928.803 -> 2025-07-15-11:45:33.930.036 2025-07-15-11:45:33.944.566 -> 2025-07-15-11:45:33.945.555 2025-07-15-11:45:33.945.717 -> 2025-07-15-11:45:33.946.277 2025-07-15-11:45:33.949.007 -> 2025-07-15-11:45:33.949.751 2025-07-15-11:45:33.952.937 -> 2025-07-15-11:45:33.954.734 2025-07-15-11:45:33.957.252 -> 2025-07-15-11:45:33.958.194 2025-07-15-11:45:33.961.927 -> 2025-07-15-11:45:33.963.848 2025-07-15-11:45:33.967.770 -> 2025-07-15-11:45:33.968.621 2025-07-15-11:45:33.970.547 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.971.397 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.971.515 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.971.747 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 71 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.972.091 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 71; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 1, 0; device_queue: 62, 63, 64, 65, 66, 67, 68, 69, 70, 71; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.917.163 2025-07-15-11:45:33.928.803 -> 2025-07-15-11:45:33.930.036 2025-07-15-11:45:33.944.566 -> 2025-07-15-11:45:33.945.555 2025-07-15-11:45:33.945.717 -> 2025-07-15-11:45:33.946.277 2025-07-15-11:45:33.949.007 -> 2025-07-15-11:45:33.949.751 2025-07-15-11:45:33.952.937 -> 2025-07-15-11:45:33.954.734 2025-07-15-11:45:33.957.252 -> 2025-07-15-11:45:33.958.194 2025-07-15-11:45:33.961.927 -> 2025-07-15-11:45:33.963.848 2025-07-15-11:45:33.967.770 -> 2025-07-15-11:45:33.968.621 2025-07-15-11:45:33.970.547 -> 2025-07-15-11:45:33.971.800 2025-07-15-11:45:33.971.973 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.972.474 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 72 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.973.625 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.973.728 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.975.920 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.976.024 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.978.576 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 72; host_queue: 0, 0, 0, 0, 0, 0, 1, 0, 0, 0; device_queue: 63, 64, 65, 66, 67, 68, 69, 70, 71, 72; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.930.036 2025-07-15-11:45:33.944.566 -> 2025-07-15-11:45:33.945.555 2025-07-15-11:45:33.945.717 -> 2025-07-15-11:45:33.946.277 2025-07-15-11:45:33.949.007 -> 2025-07-15-11:45:33.949.751 2025-07-15-11:45:33.952.937 -> 2025-07-15-11:45:33.954.734 2025-07-15-11:45:33.957.252 -> 2025-07-15-11:45:33.958.194 2025-07-15-11:45:33.961.927 -> 2025-07-15-11:45:33.963.848 2025-07-15-11:45:33.967.770 -> 2025-07-15-11:45:33.968.621 2025-07-15-11:45:33.970.547 -> 2025-07-15-11:45:33.971.800 2025-07-15-11:45:33.971.973 -> 2025-07-15-11:45:33.972.520 2025-07-15-11:45:33.978.220 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.979.123 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 73 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.979.331 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.979.431 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.979.887 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 28; host_queue: 4, 3, 3, 2, 2, 1, 1, 0, 0, 6; device_queue: 19, 20, 21, 22, 23, 24, 25, 26, 27, 28; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.907.224 2025-07-15-11:45:33.909.045 -> 2025-07-15-11:45:33.910.281 2025-07-15-11:45:33.936.002 -> 2025-07-15-11:45:33.937.074 2025-07-15-11:45:33.937.320 -> 2025-07-15-11:45:33.938.797 2025-07-15-11:45:33.950.543 -> 2025-07-15-11:45:33.959.326 2025-07-15-11:45:33.959.760 -> 2025-07-15-11:45:33.960.462 2025-07-15-11:45:33.960.742 -> 2025-07-15-11:45:33.961.356 2025-07-15-11:45:33.961.653 -> 2025-07-15-11:45:33.962.358 2025-07-15-11:45:33.962.628 -> 2025-07-15-11:45:33.963.846 2025-07-15-11:45:33.969.065 -> 2025-07-15-11:45:33.969.820 2025-07-15-11:45:33.979.688 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.980.473 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 29 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.981.164 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 73; host_queue: 0, 0, 0, 0, 1, 0, 0, 0, 0, 0; device_queue: 64, 65, 66, 67, 68, 69, 70, 71, 72, 73; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.945.555 2025-07-15-11:45:33.945.717 -> 2025-07-15-11:45:33.946.277 2025-07-15-11:45:33.949.007 -> 2025-07-15-11:45:33.949.751 2025-07-15-11:45:33.952.937 -> 2025-07-15-11:45:33.954.734 2025-07-15-11:45:33.957.252 -> 2025-07-15-11:45:33.958.194 2025-07-15-11:45:33.961.927 -> 2025-07-15-11:45:33.963.848 2025-07-15-11:45:33.967.770 -> 2025-07-15-11:45:33.968.621 2025-07-15-11:45:33.970.547 -> 2025-07-15-11:45:33.971.800 2025-07-15-11:45:33.971.973 -> 2025-07-15-11:45:33.972.520 2025-07-15-11:45:33.978.220 -> 2025-07-15-11:45:33.979.175 2025-07-15-11:45:33.980.917 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.981.413 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 29; host_queue: 3, 2, 2, 1, 1, 0, 0, 6, 6, 5; device_queue: 20, 21, 22, 23, 24, 25, 26, 27, 28, 29; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.910.281 2025-07-15-11:45:33.936.002 -> 2025-07-15-11:45:33.937.074 2025-07-15-11:45:33.937.320 -> 2025-07-15-11:45:33.938.797 2025-07-15-11:45:33.950.543 -> 2025-07-15-11:45:33.959.326 2025-07-15-11:45:33.959.760 -> 2025-07-15-11:45:33.960.462 2025-07-15-11:45:33.960.742 -> 2025-07-15-11:45:33.961.356 2025-07-15-11:45:33.961.653 -> 2025-07-15-11:45:33.962.358 2025-07-15-11:45:33.962.628 -> 2025-07-15-11:45:33.963.846 2025-07-15-11:45:33.969.065 -> 2025-07-15-11:45:33.969.820 2025-07-15-11:45:33.979.688 -> 2025-07-15-11:45:33.980.522 2025-07-15-11:45:33.980.823 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.981.507 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.981.579 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.981.821 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 74 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.982.010 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 30 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.982.689 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 30; host_queue: 2, 1, 1, 0, 0, 6, 6, 5, 6, 5; device_queue: 21, 22, 23, 24, 25, 26, 27, 28, 29, 30; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.937.074 2025-07-15-11:45:33.937.320 -> 2025-07-15-11:45:33.938.797 2025-07-15-11:45:33.950.543 -> 2025-07-15-11:45:33.959.326 2025-07-15-11:45:33.959.760 -> 2025-07-15-11:45:33.960.462 2025-07-15-11:45:33.960.742 -> 2025-07-15-11:45:33.961.356 2025-07-15-11:45:33.961.653 -> 2025-07-15-11:45:33.962.358 2025-07-15-11:45:33.962.628 -> 2025-07-15-11:45:33.963.846 2025-07-15-11:45:33.969.065 -> 2025-07-15-11:45:33.969.820 2025-07-15-11:45:33.979.688 -> 2025-07-15-11:45:33.980.522 2025-07-15-11:45:33.980.823 -> 2025-07-15-11:45:33.982.058 2025-07-15-11:45:33.982.407 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.983.087 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 31 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.983.493 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 31; host_queue: 1, 0, 0, 6, 6, 5, 6, 5, 5, 4; device_queue: 22, 23, 24, 25, 26, 27, 28, 29, 30, 31; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.938.797 2025-07-15-11:45:33.950.543 -> 2025-07-15-11:45:33.959.326 2025-07-15-11:45:33.959.760 -> 2025-07-15-11:45:33.960.462 2025-07-15-11:45:33.960.742 -> 2025-07-15-11:45:33.961.356 2025-07-15-11:45:33.961.653 -> 2025-07-15-11:45:33.962.358 2025-07-15-11:45:33.962.628 -> 2025-07-15-11:45:33.963.846 2025-07-15-11:45:33.969.065 -> 2025-07-15-11:45:33.969.820 2025-07-15-11:45:33.979.688 -> 2025-07-15-11:45:33.980.522 2025-07-15-11:45:33.980.823 -> 2025-07-15-11:45:33.982.058 2025-07-15-11:45:33.982.407 -> 2025-07-15-11:45:33.983.129 2025-07-15-11:45:33.983.336 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.983.600 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.983.674 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.984.033 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 32 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.984.298 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 74; host_queue: 0, 0, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 65, 66, 67, 68, 69, 70, 71, 72, 73, 74; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.946.277 2025-07-15-11:45:33.949.007 -> 2025-07-15-11:45:33.949.751 2025-07-15-11:45:33.952.937 -> 2025-07-15-11:45:33.954.734 2025-07-15-11:45:33.957.252 -> 2025-07-15-11:45:33.958.194 2025-07-15-11:45:33.961.927 -> 2025-07-15-11:45:33.963.848 2025-07-15-11:45:33.967.770 -> 2025-07-15-11:45:33.968.621 2025-07-15-11:45:33.970.547 -> 2025-07-15-11:45:33.971.800 2025-07-15-11:45:33.971.973 -> 2025-07-15-11:45:33.972.520 2025-07-15-11:45:33.978.220 -> 2025-07-15-11:45:33.979.175 2025-07-15-11:45:33.980.917 -> 2025-07-15-11:45:33.981.927 2025-07-15-11:45:33.984.069 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.984.554 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 32; host_queue: 0, 6, 6, 5, 6, 5, 5, 4, 4, 3; device_queue: 23, 24, 25, 26, 27, 28, 29, 30, 31, 32; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.959.326 2025-07-15-11:45:33.959.760 -> 2025-07-15-11:45:33.960.462 2025-07-15-11:45:33.960.742 -> 2025-07-15-11:45:33.961.356 2025-07-15-11:45:33.961.653 -> 2025-07-15-11:45:33.962.358 2025-07-15-11:45:33.962.628 -> 2025-07-15-11:45:33.963.846 2025-07-15-11:45:33.969.065 -> 2025-07-15-11:45:33.969.820 2025-07-15-11:45:33.979.688 -> 2025-07-15-11:45:33.980.522 2025-07-15-11:45:33.980.823 -> 2025-07-15-11:45:33.982.058 2025-07-15-11:45:33.982.407 -> 2025-07-15-11:45:33.983.129 2025-07-15-11:45:33.983.336 -> 2025-07-15-11:45:33.984.084 2025-07-15-11:45:33.984.418 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.984.814 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 75 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.984.910 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 33 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.985.207 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 33; host_queue: 6, 5, 6, 5, 5, 4, 4, 3, 3, 2; device_queue: 24, 25, 26, 27, 28, 29, 30, 31, 32, 33; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.960.462 2025-07-15-11:45:33.960.742 -> 2025-07-15-11:45:33.961.356 2025-07-15-11:45:33.961.653 -> 2025-07-15-11:45:33.962.358 2025-07-15-11:45:33.962.628 -> 2025-07-15-11:45:33.963.846 2025-07-15-11:45:33.969.065 -> 2025-07-15-11:45:33.969.820 2025-07-15-11:45:33.979.688 -> 2025-07-15-11:45:33.980.522 2025-07-15-11:45:33.980.823 -> 2025-07-15-11:45:33.982.058 2025-07-15-11:45:33.982.407 -> 2025-07-15-11:45:33.983.129 2025-07-15-11:45:33.983.336 -> 2025-07-15-11:45:33.984.084 2025-07-15-11:45:33.984.418 -> 2025-07-15-11:45:33.984.947 2025-07-15-11:45:33.985.094 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.985.526 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 34 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.985.654 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.985.724 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.985.821 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 34; host_queue: 6, 5, 5, 4, 4, 3, 3, 2, 2, 1; device_queue: 25, 26, 27, 28, 29, 30, 31, 32, 33, 34; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.961.356 2025-07-15-11:45:33.961.653 -> 2025-07-15-11:45:33.962.358 2025-07-15-11:45:33.962.628 -> 2025-07-15-11:45:33.963.846 2025-07-15-11:45:33.969.065 -> 2025-07-15-11:45:33.969.820 2025-07-15-11:45:33.979.688 -> 2025-07-15-11:45:33.980.522 2025-07-15-11:45:33.980.823 -> 2025-07-15-11:45:33.982.058 2025-07-15-11:45:33.982.407 -> 2025-07-15-11:45:33.983.129 2025-07-15-11:45:33.983.336 -> 2025-07-15-11:45:33.984.084 2025-07-15-11:45:33.984.418 -> 2025-07-15-11:45:33.984.947 2025-07-15-11:45:33.985.094 -> 2025-07-15-11:45:33.985.560 2025-07-15-11:45:33.985.708 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.986.136 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 35 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.986.700 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 35; host_queue: 5, 4, 4, 3, 3, 2, 2, 1, 1, 0; device_queue: 26, 27, 28, 29, 30, 31, 32, 33, 34, 35; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.962.358 2025-07-15-11:45:33.962.628 -> 2025-07-15-11:45:33.963.846 2025-07-15-11:45:33.969.065 -> 2025-07-15-11:45:33.969.820 2025-07-15-11:45:33.979.688 -> 2025-07-15-11:45:33.980.522 2025-07-15-11:45:33.980.823 -> 2025-07-15-11:45:33.982.058 2025-07-15-11:45:33.982.407 -> 2025-07-15-11:45:33.983.129 2025-07-15-11:45:33.983.336 -> 2025-07-15-11:45:33.984.084 2025-07-15-11:45:33.984.418 -> 2025-07-15-11:45:33.984.947 2025-07-15-11:45:33.985.094 -> 2025-07-15-11:45:33.985.560 2025-07-15-11:45:33.985.708 -> 2025-07-15-11:45:33.986.181 2025-07-15-11:45:33.986.546 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:33.987.092 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 36 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.987.727 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.987.809 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.989.140 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 75; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 66, 67, 68, 69, 70, 71, 72, 73, 74, 75; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.949.751 2025-07-15-11:45:33.952.937 -> 2025-07-15-11:45:33.954.734 2025-07-15-11:45:33.957.252 -> 2025-07-15-11:45:33.958.194 2025-07-15-11:45:33.961.927 -> 2025-07-15-11:45:33.963.848 2025-07-15-11:45:33.967.770 -> 2025-07-15-11:45:33.968.621 2025-07-15-11:45:33.970.547 -> 2025-07-15-11:45:33.971.800 2025-07-15-11:45:33.971.973 -> 2025-07-15-11:45:33.972.520 2025-07-15-11:45:33.978.220 -> 2025-07-15-11:45:33.979.175 2025-07-15-11:45:33.980.917 -> 2025-07-15-11:45:33.981.927 2025-07-15-11:45:33.984.069 -> 2025-07-15-11:45:33.984.857 2025-07-15-11:45:33.988.957 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.989.608 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 76 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.989.730 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.989.804 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.991.742 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.991.831 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.993.626 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 76; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 67, 68, 69, 70, 71, 72, 73, 74, 75, 76; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.954.734 2025-07-15-11:45:33.957.252 -> 2025-07-15-11:45:33.958.194 2025-07-15-11:45:33.961.927 -> 2025-07-15-11:45:33.963.848 2025-07-15-11:45:33.967.770 -> 2025-07-15-11:45:33.968.621 2025-07-15-11:45:33.970.547 -> 2025-07-15-11:45:33.971.800 2025-07-15-11:45:33.971.973 -> 2025-07-15-11:45:33.972.520 2025-07-15-11:45:33.978.220 -> 2025-07-15-11:45:33.979.175 2025-07-15-11:45:33.980.917 -> 2025-07-15-11:45:33.981.927 2025-07-15-11:45:33.984.069 -> 2025-07-15-11:45:33.984.857 2025-07-15-11:45:33.988.957 -> 2025-07-15-11:45:33.989.651 2025-07-15-11:45:33.993.436 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.993.751 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.993.824 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.994.735 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 77 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.995.472 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 77; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 68, 69, 70, 71, 72, 73, 74, 75, 76, 77; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.958.194 2025-07-15-11:45:33.961.927 -> 2025-07-15-11:45:33.963.848 2025-07-15-11:45:33.967.770 -> 2025-07-15-11:45:33.968.621 2025-07-15-11:45:33.970.547 -> 2025-07-15-11:45:33.971.800 2025-07-15-11:45:33.971.973 -> 2025-07-15-11:45:33.972.520 2025-07-15-11:45:33.978.220 -> 2025-07-15-11:45:33.979.175 2025-07-15-11:45:33.980.917 -> 2025-07-15-11:45:33.981.927 2025-07-15-11:45:33.984.069 -> 2025-07-15-11:45:33.984.857 2025-07-15-11:45:33.988.957 -> 2025-07-15-11:45:33.989.651 2025-07-15-11:45:33.993.436 -> 2025-07-15-11:45:33.994.836 2025-07-15-11:45:33.995.306 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.995.908 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 78 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.996.528 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.996.613 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.998.696 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:33.998.791 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.998.870 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 78; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 69, 70, 71, 72, 73, 74, 75, 76, 77, 78; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.963.848 2025-07-15-11:45:33.967.770 -> 2025-07-15-11:45:33.968.621 2025-07-15-11:45:33.970.547 -> 2025-07-15-11:45:33.971.800 2025-07-15-11:45:33.971.973 -> 2025-07-15-11:45:33.972.520 2025-07-15-11:45:33.978.220 -> 2025-07-15-11:45:33.979.175 2025-07-15-11:45:33.980.917 -> 2025-07-15-11:45:33.981.927 2025-07-15-11:45:33.984.069 -> 2025-07-15-11:45:33.984.857 2025-07-15-11:45:33.988.957 -> 2025-07-15-11:45:33.989.651 2025-07-15-11:45:33.993.436 -> 2025-07-15-11:45:33.994.836 2025-07-15-11:45:33.995.306 -> 2025-07-15-11:45:33.995.951 2025-07-15-11:45:33.998.691 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:33.999.329 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 79 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.000.785 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.000.906 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.001.669 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 79; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 70, 71, 72, 73, 74, 75, 76, 77, 78, 79; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.968.621 2025-07-15-11:45:33.970.547 -> 2025-07-15-11:45:33.971.800 2025-07-15-11:45:33.971.973 -> 2025-07-15-11:45:33.972.520 2025-07-15-11:45:33.978.220 -> 2025-07-15-11:45:33.979.175 2025-07-15-11:45:33.980.917 -> 2025-07-15-11:45:33.981.927 2025-07-15-11:45:33.984.069 -> 2025-07-15-11:45:33.984.857 2025-07-15-11:45:33.988.957 -> 2025-07-15-11:45:33.989.651 2025-07-15-11:45:33.993.436 -> 2025-07-15-11:45:33.994.836 2025-07-15-11:45:33.995.306 -> 2025-07-15-11:45:33.995.951 2025-07-15-11:45:33.998.691 -> 2025-07-15-11:45:33.999.366 2025-07-15-11:45:34.001.338 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.002.144 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 80 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.003.040 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.003.142 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.004.787 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 80; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 71, 72, 73, 74, 75, 76, 77, 78, 79, 80; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.971.800 2025-07-15-11:45:33.971.973 -> 2025-07-15-11:45:33.972.520 2025-07-15-11:45:33.978.220 -> 2025-07-15-11:45:33.979.175 2025-07-15-11:45:33.980.917 -> 2025-07-15-11:45:33.981.927 2025-07-15-11:45:33.984.069 -> 2025-07-15-11:45:33.984.857 2025-07-15-11:45:33.988.957 -> 2025-07-15-11:45:33.989.651 2025-07-15-11:45:33.993.436 -> 2025-07-15-11:45:33.994.836 2025-07-15-11:45:33.995.306 -> 2025-07-15-11:45:33.995.951 2025-07-15-11:45:33.998.691 -> 2025-07-15-11:45:33.999.366 2025-07-15-11:45:34.001.338 -> 2025-07-15-11:45:34.002.181 2025-07-15-11:45:34.004.535 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.005.237 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.005.322 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r1.j0.a_3.changed [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.005.325 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 81 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.005.385 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.expand_dump_flag [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.005.496 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.expand_dump_flag.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.005.537 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.switch_simplify [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.005.577 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_switch_simplify [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.006.795 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 36; host_queue: 4, 3, 3, 2, 2, 1, 1, 0, 0, 3; device_queue: 27, 28, 29, 30, 31, 32, 33, 34, 35, 36; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.963.846 2025-07-15-11:45:33.969.065 -> 2025-07-15-11:45:33.969.820 2025-07-15-11:45:33.979.688 -> 2025-07-15-11:45:33.980.522 2025-07-15-11:45:33.980.823 -> 2025-07-15-11:45:33.982.058 2025-07-15-11:45:33.982.407 -> 2025-07-15-11:45:33.983.129 2025-07-15-11:45:33.983.336 -> 2025-07-15-11:45:33.984.084 2025-07-15-11:45:33.984.418 -> 2025-07-15-11:45:33.984.947 2025-07-15-11:45:33.985.094 -> 2025-07-15-11:45:33.985.560 2025-07-15-11:45:33.985.708 -> 2025-07-15-11:45:33.986.181 2025-07-15-11:45:33.986.546 -> 2025-07-15-11:45:33.987.133 2025-07-15-11:45:34.006.576 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.007.968 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.switch_simplify.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.008.050 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.loop_unroll [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.008.095 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_loop_unroll [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.010.340 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.loop_unroll.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.010.470 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.010.524 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_a_1 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.010.704 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 37 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.021.799 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 81; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 72, 73, 74, 75, 76, 77, 78, 79, 80, 81; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.972.520 2025-07-15-11:45:33.978.220 -> 2025-07-15-11:45:33.979.175 2025-07-15-11:45:33.980.917 -> 2025-07-15-11:45:33.981.927 2025-07-15-11:45:33.984.069 -> 2025-07-15-11:45:33.984.857 2025-07-15-11:45:33.988.957 -> 2025-07-15-11:45:33.989.651 2025-07-15-11:45:33.993.436 -> 2025-07-15-11:45:33.994.836 2025-07-15-11:45:33.995.306 -> 2025-07-15-11:45:33.995.951 2025-07-15-11:45:33.998.691 -> 2025-07-15-11:45:33.999.366 2025-07-15-11:45:34.001.338 -> 2025-07-15-11:45:34.002.181 2025-07-15-11:45:34.004.535 -> 2025-07-15-11:45:34.005.366 2025-07-15-11:45:34.021.425 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.022.391 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 82 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.024.929 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 82; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 73, 74, 75, 76, 77, 78, 79, 80, 81, 82; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.979.175 2025-07-15-11:45:33.980.917 -> 2025-07-15-11:45:33.981.927 2025-07-15-11:45:33.984.069 -> 2025-07-15-11:45:33.984.857 2025-07-15-11:45:33.988.957 -> 2025-07-15-11:45:33.989.651 2025-07-15-11:45:33.993.436 -> 2025-07-15-11:45:33.994.836 2025-07-15-11:45:33.995.306 -> 2025-07-15-11:45:33.995.951 2025-07-15-11:45:33.998.691 -> 2025-07-15-11:45:33.999.366 2025-07-15-11:45:34.001.338 -> 2025-07-15-11:45:34.002.181 2025-07-15-11:45:34.004.535 -> 2025-07-15-11:45:34.005.366 2025-07-15-11:45:34.021.425 -> 2025-07-15-11:45:34.022.448 2025-07-15-11:45:34.024.680 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.025.765 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 83 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.028.678 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 83; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 74, 75, 76, 77, 78, 79, 80, 81, 82, 83; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.981.927 2025-07-15-11:45:33.984.069 -> 2025-07-15-11:45:33.984.857 2025-07-15-11:45:33.988.957 -> 2025-07-15-11:45:33.989.651 2025-07-15-11:45:33.993.436 -> 2025-07-15-11:45:33.994.836 2025-07-15-11:45:33.995.306 -> 2025-07-15-11:45:33.995.951 2025-07-15-11:45:33.998.691 -> 2025-07-15-11:45:33.999.366 2025-07-15-11:45:34.001.338 -> 2025-07-15-11:45:34.002.181 2025-07-15-11:45:34.004.535 -> 2025-07-15-11:45:34.005.366 2025-07-15-11:45:34.021.425 -> 2025-07-15-11:45:34.022.448 2025-07-15-11:45:34.024.680 -> 2025-07-15-11:45:34.025.868 2025-07-15-11:45:34.028.410 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.029.211 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 84 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.030.616 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 37; host_queue: 3, 2, 2, 1, 1, 0, 0, 3, 5, 4; device_queue: 28, 29, 30, 31, 32, 33, 34, 35, 36, 37; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.969.820 2025-07-15-11:45:33.979.688 -> 2025-07-15-11:45:33.980.522 2025-07-15-11:45:33.980.823 -> 2025-07-15-11:45:33.982.058 2025-07-15-11:45:33.982.407 -> 2025-07-15-11:45:33.983.129 2025-07-15-11:45:33.983.336 -> 2025-07-15-11:45:33.984.084 2025-07-15-11:45:33.984.418 -> 2025-07-15-11:45:33.984.947 2025-07-15-11:45:33.985.094 -> 2025-07-15-11:45:33.985.560 2025-07-15-11:45:33.985.708 -> 2025-07-15-11:45:33.986.181 2025-07-15-11:45:33.986.546 -> 2025-07-15-11:45:33.987.133 2025-07-15-11:45:34.006.576 -> 2025-07-15-11:45:34.010.841 2025-07-15-11:45:34.018.556 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.036.751 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 84; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 75, 76, 77, 78, 79, 80, 81, 82, 83, 84; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.984.857 2025-07-15-11:45:33.988.957 -> 2025-07-15-11:45:33.989.651 2025-07-15-11:45:33.993.436 -> 2025-07-15-11:45:33.994.836 2025-07-15-11:45:33.995.306 -> 2025-07-15-11:45:33.995.951 2025-07-15-11:45:33.998.691 -> 2025-07-15-11:45:33.999.366 2025-07-15-11:45:34.001.338 -> 2025-07-15-11:45:34.002.181 2025-07-15-11:45:34.004.535 -> 2025-07-15-11:45:34.005.366 2025-07-15-11:45:34.021.425 -> 2025-07-15-11:45:34.022.448 2025-07-15-11:45:34.024.680 -> 2025-07-15-11:45:34.025.868 2025-07-15-11:45:34.028.410 -> 2025-07-15-11:45:34.029.267 2025-07-15-11:45:34.036.530 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.038.728 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 85 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.039.762 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 38 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.040.303 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 38; host_queue: 2, 1, 1, 0, 0, 3, 5, 4, 10, 9; device_queue: 29, 30, 31, 32, 33, 34, 35, 36, 37, 38; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.980.522 2025-07-15-11:45:33.980.823 -> 2025-07-15-11:45:33.982.058 2025-07-15-11:45:33.982.407 -> 2025-07-15-11:45:33.983.129 2025-07-15-11:45:33.983.336 -> 2025-07-15-11:45:33.984.084 2025-07-15-11:45:33.984.418 -> 2025-07-15-11:45:33.984.947 2025-07-15-11:45:33.985.094 -> 2025-07-15-11:45:33.985.560 2025-07-15-11:45:33.985.708 -> 2025-07-15-11:45:33.986.181 2025-07-15-11:45:33.986.546 -> 2025-07-15-11:45:33.987.133 2025-07-15-11:45:34.006.576 -> 2025-07-15-11:45:34.010.841 2025-07-15-11:45:34.018.556 -> 2025-07-15-11:45:34.039.841 2025-07-15-11:45:34.040.150 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.040.848 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 39 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.041.413 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 39; host_queue: 1, 0, 0, 3, 5, 4, 10, 9, 9, 9; device_queue: 30, 31, 32, 33, 34, 35, 36, 37, 38, 39; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.982.058 2025-07-15-11:45:33.982.407 -> 2025-07-15-11:45:33.983.129 2025-07-15-11:45:33.983.336 -> 2025-07-15-11:45:33.984.084 2025-07-15-11:45:33.984.418 -> 2025-07-15-11:45:33.984.947 2025-07-15-11:45:33.985.094 -> 2025-07-15-11:45:33.985.560 2025-07-15-11:45:33.985.708 -> 2025-07-15-11:45:33.986.181 2025-07-15-11:45:33.986.546 -> 2025-07-15-11:45:33.987.133 2025-07-15-11:45:34.006.576 -> 2025-07-15-11:45:34.010.841 2025-07-15-11:45:34.018.556 -> 2025-07-15-11:45:34.039.841 2025-07-15-11:45:34.040.150 -> 2025-07-15-11:45:34.040.903 2025-07-15-11:45:34.041.243 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.041.685 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 85; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 76, 77, 78, 79, 80, 81, 82, 83, 84, 85; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.989.651 2025-07-15-11:45:33.993.436 -> 2025-07-15-11:45:33.994.836 2025-07-15-11:45:33.995.306 -> 2025-07-15-11:45:33.995.951 2025-07-15-11:45:33.998.691 -> 2025-07-15-11:45:33.999.366 2025-07-15-11:45:34.001.338 -> 2025-07-15-11:45:34.002.181 2025-07-15-11:45:34.004.535 -> 2025-07-15-11:45:34.005.366 2025-07-15-11:45:34.021.425 -> 2025-07-15-11:45:34.022.448 2025-07-15-11:45:34.024.680 -> 2025-07-15-11:45:34.025.868 2025-07-15-11:45:34.028.410 -> 2025-07-15-11:45:34.029.267 2025-07-15-11:45:34.036.530 -> 2025-07-15-11:45:34.038.828 2025-07-15-11:45:34.041.294 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.041.900 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 40 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.042.180 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 86 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.042.242 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 40; host_queue: 0, 3, 5, 4, 10, 9, 9, 9, 9, 8; device_queue: 31, 32, 33, 34, 35, 36, 37, 38, 39, 40; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.983.129 2025-07-15-11:45:33.983.336 -> 2025-07-15-11:45:33.984.084 2025-07-15-11:45:33.984.418 -> 2025-07-15-11:45:33.984.947 2025-07-15-11:45:33.985.094 -> 2025-07-15-11:45:33.985.560 2025-07-15-11:45:33.985.708 -> 2025-07-15-11:45:33.986.181 2025-07-15-11:45:33.986.546 -> 2025-07-15-11:45:33.987.133 2025-07-15-11:45:34.006.576 -> 2025-07-15-11:45:34.010.841 2025-07-15-11:45:34.018.556 -> 2025-07-15-11:45:34.039.841 2025-07-15-11:45:34.040.150 -> 2025-07-15-11:45:34.040.903 2025-07-15-11:45:34.041.243 -> 2025-07-15-11:45:34.041.949 2025-07-15-11:45:34.042.121 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.042.609 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 41 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.042.925 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 41; host_queue: 5, 4, 10, 9, 9, 9, 9, 8, 8, 7; device_queue: 32, 33, 34, 35, 36, 37, 38, 39, 40, 41; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.984.084 2025-07-15-11:45:33.984.418 -> 2025-07-15-11:45:33.984.947 2025-07-15-11:45:33.985.094 -> 2025-07-15-11:45:33.985.560 2025-07-15-11:45:33.985.708 -> 2025-07-15-11:45:33.986.181 2025-07-15-11:45:33.986.546 -> 2025-07-15-11:45:33.987.133 2025-07-15-11:45:34.006.576 -> 2025-07-15-11:45:34.010.841 2025-07-15-11:45:34.018.556 -> 2025-07-15-11:45:34.039.841 2025-07-15-11:45:34.040.150 -> 2025-07-15-11:45:34.040.903 2025-07-15-11:45:34.041.243 -> 2025-07-15-11:45:34.041.949 2025-07-15-11:45:34.042.121 -> 2025-07-15-11:45:34.042.659 2025-07-15-11:45:34.042.810 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.043.256 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 42 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.043.584 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 42; host_queue: 10, 9, 9, 9, 9, 8, 8, 7, 7, 6; device_queue: 33, 34, 35, 36, 37, 38, 39, 40, 41, 42; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.984.947 2025-07-15-11:45:33.985.094 -> 2025-07-15-11:45:33.985.560 2025-07-15-11:45:33.985.708 -> 2025-07-15-11:45:33.986.181 2025-07-15-11:45:33.986.546 -> 2025-07-15-11:45:33.987.133 2025-07-15-11:45:34.006.576 -> 2025-07-15-11:45:34.010.841 2025-07-15-11:45:34.018.556 -> 2025-07-15-11:45:34.039.841 2025-07-15-11:45:34.040.150 -> 2025-07-15-11:45:34.040.903 2025-07-15-11:45:34.041.243 -> 2025-07-15-11:45:34.041.949 2025-07-15-11:45:34.042.121 -> 2025-07-15-11:45:34.042.659 2025-07-15-11:45:34.042.810 -> 2025-07-15-11:45:34.043.300 2025-07-15-11:45:34.043.462 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.043.965 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 43 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.044.286 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 43; host_queue: 9, 9, 9, 8, 8, 7, 7, 6, 6, 5; device_queue: 34, 35, 36, 37, 38, 39, 40, 41, 42, 43; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.985.560 2025-07-15-11:45:33.985.708 -> 2025-07-15-11:45:33.986.181 2025-07-15-11:45:33.986.546 -> 2025-07-15-11:45:33.987.133 2025-07-15-11:45:34.006.576 -> 2025-07-15-11:45:34.010.841 2025-07-15-11:45:34.018.556 -> 2025-07-15-11:45:34.039.841 2025-07-15-11:45:34.040.150 -> 2025-07-15-11:45:34.040.903 2025-07-15-11:45:34.041.243 -> 2025-07-15-11:45:34.041.949 2025-07-15-11:45:34.042.121 -> 2025-07-15-11:45:34.042.659 2025-07-15-11:45:34.042.810 -> 2025-07-15-11:45:34.043.300 2025-07-15-11:45:34.043.462 -> 2025-07-15-11:45:34.044.011 2025-07-15-11:45:34.044.178 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.044.616 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 44 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.044.991 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 44; host_queue: 9, 8, 8, 7, 7, 6, 6, 5, 5, 4; device_queue: 35, 36, 37, 38, 39, 40, 41, 42, 43, 44; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.986.181 2025-07-15-11:45:33.986.546 -> 2025-07-15-11:45:33.987.133 2025-07-15-11:45:34.006.576 -> 2025-07-15-11:45:34.010.841 2025-07-15-11:45:34.018.556 -> 2025-07-15-11:45:34.039.841 2025-07-15-11:45:34.040.150 -> 2025-07-15-11:45:34.040.903 2025-07-15-11:45:34.041.243 -> 2025-07-15-11:45:34.041.949 2025-07-15-11:45:34.042.121 -> 2025-07-15-11:45:34.042.659 2025-07-15-11:45:34.042.810 -> 2025-07-15-11:45:34.043.300 2025-07-15-11:45:34.043.462 -> 2025-07-15-11:45:34.044.011 2025-07-15-11:45:34.044.178 -> 2025-07-15-11:45:34.044.661 2025-07-15-11:45:34.044.871 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.045.320 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 45 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.045.618 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 45; host_queue: 8, 7, 7, 6, 6, 5, 5, 4, 4, 3; device_queue: 36, 37, 38, 39, 40, 41, 42, 43, 44, 45; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:33.987.133 2025-07-15-11:45:34.006.576 -> 2025-07-15-11:45:34.010.841 2025-07-15-11:45:34.018.556 -> 2025-07-15-11:45:34.039.841 2025-07-15-11:45:34.040.150 -> 2025-07-15-11:45:34.040.903 2025-07-15-11:45:34.041.243 -> 2025-07-15-11:45:34.041.949 2025-07-15-11:45:34.042.121 -> 2025-07-15-11:45:34.042.659 2025-07-15-11:45:34.042.810 -> 2025-07-15-11:45:34.043.300 2025-07-15-11:45:34.043.462 -> 2025-07-15-11:45:34.044.011 2025-07-15-11:45:34.044.178 -> 2025-07-15-11:45:34.044.661 2025-07-15-11:45:34.044.871 -> 2025-07-15-11:45:34.045.362 2025-07-15-11:45:34.045.511 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.045.964 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 46 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.046.268 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 46; host_queue: 7, 6, 6, 5, 5, 4, 4, 3, 4, 3; device_queue: 37, 38, 39, 40, 41, 42, 43, 44, 45, 46; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.010.841 2025-07-15-11:45:34.018.556 -> 2025-07-15-11:45:34.039.841 2025-07-15-11:45:34.040.150 -> 2025-07-15-11:45:34.040.903 2025-07-15-11:45:34.041.243 -> 2025-07-15-11:45:34.041.949 2025-07-15-11:45:34.042.121 -> 2025-07-15-11:45:34.042.659 2025-07-15-11:45:34.042.810 -> 2025-07-15-11:45:34.043.300 2025-07-15-11:45:34.043.462 -> 2025-07-15-11:45:34.044.011 2025-07-15-11:45:34.044.178 -> 2025-07-15-11:45:34.044.661 2025-07-15-11:45:34.044.871 -> 2025-07-15-11:45:34.045.362 2025-07-15-11:45:34.045.511 -> 2025-07-15-11:45:34.046.011 2025-07-15-11:45:34.046.156 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.046.610 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 47 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.046.906 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 47; host_queue: 6, 5, 5, 4, 4, 3, 4, 3, 3, 2; device_queue: 38, 39, 40, 41, 42, 43, 44, 45, 46, 47; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.039.841 2025-07-15-11:45:34.040.150 -> 2025-07-15-11:45:34.040.903 2025-07-15-11:45:34.041.243 -> 2025-07-15-11:45:34.041.949 2025-07-15-11:45:34.042.121 -> 2025-07-15-11:45:34.042.659 2025-07-15-11:45:34.042.810 -> 2025-07-15-11:45:34.043.300 2025-07-15-11:45:34.043.462 -> 2025-07-15-11:45:34.044.011 2025-07-15-11:45:34.044.178 -> 2025-07-15-11:45:34.044.661 2025-07-15-11:45:34.044.871 -> 2025-07-15-11:45:34.045.362 2025-07-15-11:45:34.045.511 -> 2025-07-15-11:45:34.046.011 2025-07-15-11:45:34.046.156 -> 2025-07-15-11:45:34.046.657 2025-07-15-11:45:34.046.800 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.047.204 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 48 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.047.514 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 48; host_queue: 5, 4, 4, 3, 4, 3, 3, 2, 2, 1; device_queue: 39, 40, 41, 42, 43, 44, 45, 46, 47, 48; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.040.903 2025-07-15-11:45:34.041.243 -> 2025-07-15-11:45:34.041.949 2025-07-15-11:45:34.042.121 -> 2025-07-15-11:45:34.042.659 2025-07-15-11:45:34.042.810 -> 2025-07-15-11:45:34.043.300 2025-07-15-11:45:34.043.462 -> 2025-07-15-11:45:34.044.011 2025-07-15-11:45:34.044.178 -> 2025-07-15-11:45:34.044.661 2025-07-15-11:45:34.044.871 -> 2025-07-15-11:45:34.045.362 2025-07-15-11:45:34.045.511 -> 2025-07-15-11:45:34.046.011 2025-07-15-11:45:34.046.156 -> 2025-07-15-11:45:34.046.657 2025-07-15-11:45:34.046.800 -> 2025-07-15-11:45:34.047.246 2025-07-15-11:45:34.047.401 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.047.878 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 49 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.048.159 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 49; host_queue: 4, 3, 4, 3, 3, 2, 2, 1, 1, 0; device_queue: 40, 41, 42, 43, 44, 45, 46, 47, 48, 49; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.041.949 2025-07-15-11:45:34.042.121 -> 2025-07-15-11:45:34.042.659 2025-07-15-11:45:34.042.810 -> 2025-07-15-11:45:34.043.300 2025-07-15-11:45:34.043.462 -> 2025-07-15-11:45:34.044.011 2025-07-15-11:45:34.044.178 -> 2025-07-15-11:45:34.044.661 2025-07-15-11:45:34.044.871 -> 2025-07-15-11:45:34.045.362 2025-07-15-11:45:34.045.511 -> 2025-07-15-11:45:34.046.011 2025-07-15-11:45:34.046.156 -> 2025-07-15-11:45:34.046.657 2025-07-15-11:45:34.046.800 -> 2025-07-15-11:45:34.047.246 2025-07-15-11:45:34.047.401 -> 2025-07-15-11:45:34.047.920 2025-07-15-11:45:34.048.053 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.048.446 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 50 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.048.784 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 50; host_queue: 4, 3, 3, 2, 2, 1, 1, 0, 1, 0; device_queue: 41, 42, 43, 44, 45, 46, 47, 48, 49, 50; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.042.659 2025-07-15-11:45:34.042.810 -> 2025-07-15-11:45:34.043.300 2025-07-15-11:45:34.043.462 -> 2025-07-15-11:45:34.044.011 2025-07-15-11:45:34.044.178 -> 2025-07-15-11:45:34.044.661 2025-07-15-11:45:34.044.871 -> 2025-07-15-11:45:34.045.362 2025-07-15-11:45:34.045.511 -> 2025-07-15-11:45:34.046.011 2025-07-15-11:45:34.046.156 -> 2025-07-15-11:45:34.046.657 2025-07-15-11:45:34.046.800 -> 2025-07-15-11:45:34.047.246 2025-07-15-11:45:34.047.401 -> 2025-07-15-11:45:34.047.920 2025-07-15-11:45:34.048.053 -> 2025-07-15-11:45:34.048.481 2025-07-15-11:45:34.048.627 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.048.874 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 86; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 77, 78, 79, 80, 81, 82, 83, 84, 85, 86; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.994.836 2025-07-15-11:45:33.995.306 -> 2025-07-15-11:45:33.995.951 2025-07-15-11:45:33.998.691 -> 2025-07-15-11:45:33.999.366 2025-07-15-11:45:34.001.338 -> 2025-07-15-11:45:34.002.181 2025-07-15-11:45:34.004.535 -> 2025-07-15-11:45:34.005.366 2025-07-15-11:45:34.021.425 -> 2025-07-15-11:45:34.022.448 2025-07-15-11:45:34.024.680 -> 2025-07-15-11:45:34.025.868 2025-07-15-11:45:34.028.410 -> 2025-07-15-11:45:34.029.267 2025-07-15-11:45:34.036.530 -> 2025-07-15-11:45:34.038.828 2025-07-15-11:45:34.041.294 -> 2025-07-15-11:45:34.042.230 2025-07-15-11:45:34.048.647 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.049.089 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 51 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.049.391 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 87 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.050.527 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 87; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 78, 79, 80, 81, 82, 83, 84, 85, 86, 87; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.995.951 2025-07-15-11:45:33.998.691 -> 2025-07-15-11:45:33.999.366 2025-07-15-11:45:34.001.338 -> 2025-07-15-11:45:34.002.181 2025-07-15-11:45:34.004.535 -> 2025-07-15-11:45:34.005.366 2025-07-15-11:45:34.021.425 -> 2025-07-15-11:45:34.022.448 2025-07-15-11:45:34.024.680 -> 2025-07-15-11:45:34.025.868 2025-07-15-11:45:34.028.410 -> 2025-07-15-11:45:34.029.267 2025-07-15-11:45:34.036.530 -> 2025-07-15-11:45:34.038.828 2025-07-15-11:45:34.041.294 -> 2025-07-15-11:45:34.042.230 2025-07-15-11:45:34.048.647 -> 2025-07-15-11:45:34.049.442 2025-07-15-11:45:34.050.176 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.050.971 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 88 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.051.522 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 51; host_queue: 3, 2, 2, 1, 1, 0, 1, 0, 0, 0; device_queue: 42, 43, 44, 45, 46, 47, 48, 49, 50, 51; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.043.300 2025-07-15-11:45:34.043.462 -> 2025-07-15-11:45:34.044.011 2025-07-15-11:45:34.044.178 -> 2025-07-15-11:45:34.044.661 2025-07-15-11:45:34.044.871 -> 2025-07-15-11:45:34.045.362 2025-07-15-11:45:34.045.511 -> 2025-07-15-11:45:34.046.011 2025-07-15-11:45:34.046.156 -> 2025-07-15-11:45:34.046.657 2025-07-15-11:45:34.046.800 -> 2025-07-15-11:45:34.047.246 2025-07-15-11:45:34.047.401 -> 2025-07-15-11:45:34.047.920 2025-07-15-11:45:34.048.053 -> 2025-07-15-11:45:34.048.481 2025-07-15-11:45:34.048.627 -> 2025-07-15-11:45:34.049.151 2025-07-15-11:45:34.051.351 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.051.951 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 52 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.053.451 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 88; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 79, 80, 81, 82, 83, 84, 85, 86, 87, 88; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:33.999.366 2025-07-15-11:45:34.001.338 -> 2025-07-15-11:45:34.002.181 2025-07-15-11:45:34.004.535 -> 2025-07-15-11:45:34.005.366 2025-07-15-11:45:34.021.425 -> 2025-07-15-11:45:34.022.448 2025-07-15-11:45:34.024.680 -> 2025-07-15-11:45:34.025.868 2025-07-15-11:45:34.028.410 -> 2025-07-15-11:45:34.029.267 2025-07-15-11:45:34.036.530 -> 2025-07-15-11:45:34.038.828 2025-07-15-11:45:34.041.294 -> 2025-07-15-11:45:34.042.230 2025-07-15-11:45:34.048.647 -> 2025-07-15-11:45:34.049.442 2025-07-15-11:45:34.050.176 -> 2025-07-15-11:45:34.051.056 2025-07-15-11:45:34.053.235 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.054.701 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 89 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.055.909 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 52; host_queue: 2, 1, 1, 0, 1, 0, 0, 0, 0, 0; device_queue: 43, 44, 45, 46, 47, 48, 49, 50, 51, 52; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.044.011 2025-07-15-11:45:34.044.178 -> 2025-07-15-11:45:34.044.661 2025-07-15-11:45:34.044.871 -> 2025-07-15-11:45:34.045.362 2025-07-15-11:45:34.045.511 -> 2025-07-15-11:45:34.046.011 2025-07-15-11:45:34.046.156 -> 2025-07-15-11:45:34.046.657 2025-07-15-11:45:34.046.800 -> 2025-07-15-11:45:34.047.246 2025-07-15-11:45:34.047.401 -> 2025-07-15-11:45:34.047.920 2025-07-15-11:45:34.048.053 -> 2025-07-15-11:45:34.048.481 2025-07-15-11:45:34.048.627 -> 2025-07-15-11:45:34.049.151 2025-07-15-11:45:34.051.351 -> 2025-07-15-11:45:34.052.001 2025-07-15-11:45:34.055.756 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.056.354 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 53 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.059.496 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 53; host_queue: 1, 0, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 44, 45, 46, 47, 48, 49, 50, 51, 52, 53; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.044.661 2025-07-15-11:45:34.044.871 -> 2025-07-15-11:45:34.045.362 2025-07-15-11:45:34.045.511 -> 2025-07-15-11:45:34.046.011 2025-07-15-11:45:34.046.156 -> 2025-07-15-11:45:34.046.657 2025-07-15-11:45:34.046.800 -> 2025-07-15-11:45:34.047.246 2025-07-15-11:45:34.047.401 -> 2025-07-15-11:45:34.047.920 2025-07-15-11:45:34.048.053 -> 2025-07-15-11:45:34.048.481 2025-07-15-11:45:34.048.627 -> 2025-07-15-11:45:34.049.151 2025-07-15-11:45:34.051.351 -> 2025-07-15-11:45:34.052.001 2025-07-15-11:45:34.055.756 -> 2025-07-15-11:45:34.056.404 2025-07-15-11:45:34.059.320 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.059.997 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 54 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.065.025 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 54; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 45, 46, 47, 48, 49, 50, 51, 52, 53, 54; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.045.362 2025-07-15-11:45:34.045.511 -> 2025-07-15-11:45:34.046.011 2025-07-15-11:45:34.046.156 -> 2025-07-15-11:45:34.046.657 2025-07-15-11:45:34.046.800 -> 2025-07-15-11:45:34.047.246 2025-07-15-11:45:34.047.401 -> 2025-07-15-11:45:34.047.920 2025-07-15-11:45:34.048.053 -> 2025-07-15-11:45:34.048.481 2025-07-15-11:45:34.048.627 -> 2025-07-15-11:45:34.049.151 2025-07-15-11:45:34.051.351 -> 2025-07-15-11:45:34.052.001 2025-07-15-11:45:34.055.756 -> 2025-07-15-11:45:34.056.404 2025-07-15-11:45:34.059.320 -> 2025-07-15-11:45:34.060.053 2025-07-15-11:45:34.063.867 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.066.533 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_1.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.066.694 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.invalid_dout_check [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.067.295 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 55 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.067.713 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.invalid_dout_check.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.067.801 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.recompute_prepare [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.067.854 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_recompute_prepare [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.068.170 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 55; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 46, 47, 48, 49, 50, 51, 52, 53, 54, 55; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.046.011 2025-07-15-11:45:34.046.156 -> 2025-07-15-11:45:34.046.657 2025-07-15-11:45:34.046.800 -> 2025-07-15-11:45:34.047.246 2025-07-15-11:45:34.047.401 -> 2025-07-15-11:45:34.047.920 2025-07-15-11:45:34.048.053 -> 2025-07-15-11:45:34.048.481 2025-07-15-11:45:34.048.627 -> 2025-07-15-11:45:34.049.151 2025-07-15-11:45:34.051.351 -> 2025-07-15-11:45:34.052.001 2025-07-15-11:45:34.055.756 -> 2025-07-15-11:45:34.056.404 2025-07-15-11:45:34.059.320 -> 2025-07-15-11:45:34.060.053 2025-07-15-11:45:34.063.867 -> 2025-07-15-11:45:34.067.382 2025-07-15-11:45:34.068.019 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.068.217 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.recompute_prepare.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.068.300 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.updatestate_depend_eliminate [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.068.603 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 56 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.068.668 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.updatestate_depend_eliminate.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.068.740 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.068.961 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.069.015 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.069.439 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.updatestate_loads_eliminate.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.069.512 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.parameter_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.069.559 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.parameter_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.069.603 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_2 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.069.642 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r2_a_2 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.069.690 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.069.983 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.070.044 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.070.315 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.070.373 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.070.678 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.070.738 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.071.025 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.071.088 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.071.364 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.071.426 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.071.766 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.071.830 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.072.104 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.072.157 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.072.096 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 89; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 80, 81, 82, 83, 84, 85, 86, 87, 88, 89; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.002.181 2025-07-15-11:45:34.004.535 -> 2025-07-15-11:45:34.005.366 2025-07-15-11:45:34.021.425 -> 2025-07-15-11:45:34.022.448 2025-07-15-11:45:34.024.680 -> 2025-07-15-11:45:34.025.868 2025-07-15-11:45:34.028.410 -> 2025-07-15-11:45:34.029.267 2025-07-15-11:45:34.036.530 -> 2025-07-15-11:45:34.038.828 2025-07-15-11:45:34.041.294 -> 2025-07-15-11:45:34.042.230 2025-07-15-11:45:34.048.647 -> 2025-07-15-11:45:34.049.442 2025-07-15-11:45:34.050.176 -> 2025-07-15-11:45:34.051.056 2025-07-15-11:45:34.053.235 -> 2025-07-15-11:45:34.054.795 2025-07-15-11:45:34.071.913 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.072.430 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.072.473 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.072.590 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 90 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.072.841 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.072.889 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.073.198 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 56; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 47, 48, 49, 50, 51, 52, 53, 54, 55, 56; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.046.657 2025-07-15-11:45:34.046.800 -> 2025-07-15-11:45:34.047.246 2025-07-15-11:45:34.047.401 -> 2025-07-15-11:45:34.047.920 2025-07-15-11:45:34.048.053 -> 2025-07-15-11:45:34.048.481 2025-07-15-11:45:34.048.627 -> 2025-07-15-11:45:34.049.151 2025-07-15-11:45:34.051.351 -> 2025-07-15-11:45:34.052.001 2025-07-15-11:45:34.055.756 -> 2025-07-15-11:45:34.056.404 2025-07-15-11:45:34.059.320 -> 2025-07-15-11:45:34.060.053 2025-07-15-11:45:34.063.867 -> 2025-07-15-11:45:34.067.382 2025-07-15-11:45:34.068.019 -> 2025-07-15-11:45:34.068.648 2025-07-15-11:45:34.072.995 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.073.274 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.073.332 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.073.608 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.073.660 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.073.833 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 90; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 81, 82, 83, 84, 85, 86, 87, 88, 89, 90; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.005.366 2025-07-15-11:45:34.021.425 -> 2025-07-15-11:45:34.022.448 2025-07-15-11:45:34.024.680 -> 2025-07-15-11:45:34.025.868 2025-07-15-11:45:34.028.410 -> 2025-07-15-11:45:34.029.267 2025-07-15-11:45:34.036.530 -> 2025-07-15-11:45:34.038.828 2025-07-15-11:45:34.041.294 -> 2025-07-15-11:45:34.042.230 2025-07-15-11:45:34.048.647 -> 2025-07-15-11:45:34.049.442 2025-07-15-11:45:34.050.176 -> 2025-07-15-11:45:34.051.056 2025-07-15-11:45:34.053.235 -> 2025-07-15-11:45:34.054.795 2025-07-15-11:45:34.071.913 -> 2025-07-15-11:45:34.072.644 2025-07-15-11:45:34.073.681 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.073.955 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.074.000 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.074.271 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 91 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.074.264 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.074.279 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 57 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.074.337 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.074.625 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.074.678 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.074.941 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.074.989 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.075.332 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.075.391 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.075.701 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.075.765 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_2.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.075.822 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.accelerated_algorithm [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.075.870 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_accelerated_algorithm [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.076.265 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.accelerated_algorithm.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.076.341 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.shard [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.076.384 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:627] Shard] Shard pass starts. [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.076.426 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:630] Shard] Shard Prim don't exist, skip Shard pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.076.462 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.shard.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.076.508 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.meta_shard_fg_expand [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.076.682 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.meta_shard_fg_expand.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.076.746 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.shard_inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.076.789 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_shard_inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.077.124 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.shard_inline.unchanged [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.077.131 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 91; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 82, 83, 84, 85, 86, 87, 88, 89, 90, 91; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.022.448 2025-07-15-11:45:34.024.680 -> 2025-07-15-11:45:34.025.868 2025-07-15-11:45:34.028.410 -> 2025-07-15-11:45:34.029.267 2025-07-15-11:45:34.036.530 -> 2025-07-15-11:45:34.038.828 2025-07-15-11:45:34.041.294 -> 2025-07-15-11:45:34.042.230 2025-07-15-11:45:34.048.647 -> 2025-07-15-11:45:34.049.442 2025-07-15-11:45:34.050.176 -> 2025-07-15-11:45:34.051.056 2025-07-15-11:45:34.053.235 -> 2025-07-15-11:45:34.054.795 2025-07-15-11:45:34.071.913 -> 2025-07-15-11:45:34.072.644 2025-07-15-11:45:34.073.681 -> 2025-07-15-11:45:34.074.312 2025-07-15-11:45:34.076.955 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.077.213 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_send_recv [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.077.485 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_send_recv.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.077.542 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.auto_parallel [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.077.633 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 92 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.077.757 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 169 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.077.797 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.auto_parallel.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.077.849 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.parallel [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.077.910 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.parallel.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.077.948 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.flash_sp [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.078.038 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.flash_sp.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.078.079 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_comm [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.078.295 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_comm.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.078.351 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.allreduce_fusion [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.078.576 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.allreduce_fusion.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.078.637 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.matmul_add_comm_reduction [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.078.718 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 57; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 48, 49, 50, 51, 52, 53, 54, 55, 56, 57; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.047.246 2025-07-15-11:45:34.047.401 -> 2025-07-15-11:45:34.047.920 2025-07-15-11:45:34.048.053 -> 2025-07-15-11:45:34.048.481 2025-07-15-11:45:34.048.627 -> 2025-07-15-11:45:34.049.151 2025-07-15-11:45:34.051.351 -> 2025-07-15-11:45:34.052.001 2025-07-15-11:45:34.055.756 -> 2025-07-15-11:45:34.056.404 2025-07-15-11:45:34.059.320 -> 2025-07-15-11:45:34.060.053 2025-07-15-11:45:34.063.867 -> 2025-07-15-11:45:34.067.382 2025-07-15-11:45:34.068.019 -> 2025-07-15-11:45:34.068.648 2025-07-15-11:45:34.072.995 -> 2025-07-15-11:45:34.074.361 2025-07-15-11:45:34.078.520 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.078.878 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.matmul_add_comm_reduction.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.078.938 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.allreduce_slice_to_reducescatter [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.078.971 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.allreduce_slice_to_reducescatter.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.079.033 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.virtual_shard_identity [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.079.079 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_virtual_shard_identity [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.079.206 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 58 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.079.439 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.virtual_shard_identity.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.079.507 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.virtual_dataset [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.079.547 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_virtual_dataset [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.079.872 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.virtual_dataset.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.079.930 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.get_grad_eliminate_ [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.079.968 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_get_grad_eliminate_ [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.080.281 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.get_grad_eliminate_.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.080.348 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.virtual_output [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.080.391 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_virtual_output [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.080.702 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.virtual_output.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.080.777 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_forward [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.080.991 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_forward.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.081.057 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.offload_activation [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.081.324 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.offload_activation.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.081.386 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.cell_reuse_recompute_pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.081.432 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.cell_reuse_recompute_pass.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.081.474 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.081.516 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r2_cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.081.559 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: remove_not_recompute_node [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.082.251 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: remove_not_recompute_node, change: 0 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.082.313 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 58; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 49, 50, 51, 52, 53, 54, 55, 56, 57, 58; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.047.920 2025-07-15-11:45:34.048.053 -> 2025-07-15-11:45:34.048.481 2025-07-15-11:45:34.048.627 -> 2025-07-15-11:45:34.049.151 2025-07-15-11:45:34.051.351 -> 2025-07-15-11:45:34.052.001 2025-07-15-11:45:34.055.756 -> 2025-07-15-11:45:34.056.404 2025-07-15-11:45:34.059.320 -> 2025-07-15-11:45:34.060.053 2025-07-15-11:45:34.063.867 -> 2025-07-15-11:45:34.067.382 2025-07-15-11:45:34.068.019 -> 2025-07-15-11:45:34.068.648 2025-07-15-11:45:34.072.995 -> 2025-07-15-11:45:34.074.361 2025-07-15-11:45:34.078.520 -> 2025-07-15-11:45:34.079.247 2025-07-15-11:45:34.082.113 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.082.328 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.cell_reuse_handle_not_recompute_node_pass.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.082.482 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.merge_recompute_call_nodes [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.082.529 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.merge_recompute_call_nodes.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.082.569 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.before_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.082.602 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_before_grad [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.082.682 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 92; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 83, 84, 85, 86, 87, 88, 89, 90, 91, 92; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.025.868 2025-07-15-11:45:34.028.410 -> 2025-07-15-11:45:34.029.267 2025-07-15-11:45:34.036.530 -> 2025-07-15-11:45:34.038.828 2025-07-15-11:45:34.041.294 -> 2025-07-15-11:45:34.042.230 2025-07-15-11:45:34.048.647 -> 2025-07-15-11:45:34.049.442 2025-07-15-11:45:34.050.176 -> 2025-07-15-11:45:34.051.056 2025-07-15-11:45:34.053.235 -> 2025-07-15-11:45:34.054.795 2025-07-15-11:45:34.071.913 -> 2025-07-15-11:45:34.072.644 2025-07-15-11:45:34.073.681 -> 2025-07-15-11:45:34.074.312 2025-07-15-11:45:34.076.955 -> 2025-07-15-11:45:34.077.684 2025-07-15-11:45:34.082.498 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.082.825 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 59 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.083.181 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 93 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.083.250 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.before_grad.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.083.311 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.set_forward_comm_id_for_comm_node_pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.083.552 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.set_forward_comm_id_for_comm_node_pass.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.083.607 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.meta_fg_expand [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.085.844 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 93; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 84, 85, 86, 87, 88, 89, 90, 91, 92, 93; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.029.267 2025-07-15-11:45:34.036.530 -> 2025-07-15-11:45:34.038.828 2025-07-15-11:45:34.041.294 -> 2025-07-15-11:45:34.042.230 2025-07-15-11:45:34.048.647 -> 2025-07-15-11:45:34.049.442 2025-07-15-11:45:34.050.176 -> 2025-07-15-11:45:34.051.056 2025-07-15-11:45:34.053.235 -> 2025-07-15-11:45:34.054.795 2025-07-15-11:45:34.071.913 -> 2025-07-15-11:45:34.072.644 2025-07-15-11:45:34.073.681 -> 2025-07-15-11:45:34.074.312 2025-07-15-11:45:34.076.955 -> 2025-07-15-11:45:34.077.684 2025-07-15-11:45:34.082.498 -> 2025-07-15-11:45:34.083.234 2025-07-15-11:45:34.085.605 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.086.344 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 94 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.086.160 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 59; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 50, 51, 52, 53, 54, 55, 56, 57, 58, 59; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.048.481 2025-07-15-11:45:34.048.627 -> 2025-07-15-11:45:34.049.151 2025-07-15-11:45:34.051.351 -> 2025-07-15-11:45:34.052.001 2025-07-15-11:45:34.055.756 -> 2025-07-15-11:45:34.056.404 2025-07-15-11:45:34.059.320 -> 2025-07-15-11:45:34.060.053 2025-07-15-11:45:34.063.867 -> 2025-07-15-11:45:34.067.382 2025-07-15-11:45:34.068.019 -> 2025-07-15-11:45:34.068.648 2025-07-15-11:45:34.072.995 -> 2025-07-15-11:45:34.074.361 2025-07-15-11:45:34.078.520 -> 2025-07-15-11:45:34.079.247 2025-07-15-11:45:34.082.113 -> 2025-07-15-11:45:34.082.871 2025-07-15-11:45:34.085.977 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.086.613 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 60 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.088.096 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.meta_fg_expand.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.088.227 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.flash_sp_send_recv_attached [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.088.280 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.flash_sp_send_recv_attached.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.088.325 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.receive_attached [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.088.368 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.receive_attached.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.088.409 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.after_resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.088.453 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_after_resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.088.906 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.after_resolve.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.088.974 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_after_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.089.015 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r2_a_after_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.089.537 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_after_grad.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.089.615 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.renormalize [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.089.607 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 60; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 51, 52, 53, 54, 55, 56, 57, 58, 59, 60; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.049.151 2025-07-15-11:45:34.051.351 -> 2025-07-15-11:45:34.052.001 2025-07-15-11:45:34.055.756 -> 2025-07-15-11:45:34.056.404 2025-07-15-11:45:34.059.320 -> 2025-07-15-11:45:34.060.053 2025-07-15-11:45:34.063.867 -> 2025-07-15-11:45:34.067.382 2025-07-15-11:45:34.068.019 -> 2025-07-15-11:45:34.068.648 2025-07-15-11:45:34.072.995 -> 2025-07-15-11:45:34.074.361 2025-07-15-11:45:34.078.520 -> 2025-07-15-11:45:34.079.247 2025-07-15-11:45:34.082.113 -> 2025-07-15-11:45:34.082.871 2025-07-15-11:45:34.085.977 -> 2025-07-15-11:45:34.086.656 2025-07-15-11:45:34.089.406 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.090.169 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 61 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.090.552 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 94; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 85, 86, 87, 88, 89, 90, 91, 92, 93, 94; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.038.828 2025-07-15-11:45:34.041.294 -> 2025-07-15-11:45:34.042.230 2025-07-15-11:45:34.048.647 -> 2025-07-15-11:45:34.049.442 2025-07-15-11:45:34.050.176 -> 2025-07-15-11:45:34.051.056 2025-07-15-11:45:34.053.235 -> 2025-07-15-11:45:34.054.795 2025-07-15-11:45:34.071.913 -> 2025-07-15-11:45:34.072.644 2025-07-15-11:45:34.073.681 -> 2025-07-15-11:45:34.074.312 2025-07-15-11:45:34.076.955 -> 2025-07-15-11:45:34.077.684 2025-07-15-11:45:34.082.498 -> 2025-07-15-11:45:34.083.234 2025-07-15-11:45:34.085.605 -> 2025-07-15-11:45:34.086.391 2025-07-15-11:45:34.090.252 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.091.058 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 95 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.092.632 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 95; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 86, 87, 88, 89, 90, 91, 92, 93, 94, 95; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.042.230 2025-07-15-11:45:34.048.647 -> 2025-07-15-11:45:34.049.442 2025-07-15-11:45:34.050.176 -> 2025-07-15-11:45:34.051.056 2025-07-15-11:45:34.053.235 -> 2025-07-15-11:45:34.054.795 2025-07-15-11:45:34.071.913 -> 2025-07-15-11:45:34.072.644 2025-07-15-11:45:34.073.681 -> 2025-07-15-11:45:34.074.312 2025-07-15-11:45:34.076.955 -> 2025-07-15-11:45:34.077.684 2025-07-15-11:45:34.082.498 -> 2025-07-15-11:45:34.083.234 2025-07-15-11:45:34.085.605 -> 2025-07-15-11:45:34.086.391 2025-07-15-11:45:34.090.252 -> 2025-07-15-11:45:34.091.113 2025-07-15-11:45:34.092.457 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.093.101 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 96 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.093.301 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 61; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 52, 53, 54, 55, 56, 57, 58, 59, 60, 61; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.052.001 2025-07-15-11:45:34.055.756 -> 2025-07-15-11:45:34.056.404 2025-07-15-11:45:34.059.320 -> 2025-07-15-11:45:34.060.053 2025-07-15-11:45:34.063.867 -> 2025-07-15-11:45:34.067.382 2025-07-15-11:45:34.068.019 -> 2025-07-15-11:45:34.068.648 2025-07-15-11:45:34.072.995 -> 2025-07-15-11:45:34.074.361 2025-07-15-11:45:34.078.520 -> 2025-07-15-11:45:34.079.247 2025-07-15-11:45:34.082.113 -> 2025-07-15-11:45:34.082.871 2025-07-15-11:45:34.085.977 -> 2025-07-15-11:45:34.086.656 2025-07-15-11:45:34.089.406 -> 2025-07-15-11:45:34.090.231 2025-07-15-11:45:34.093.057 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.093.778 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 62 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.095.993 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 96; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 87, 88, 89, 90, 91, 92, 93, 94, 95, 96; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.049.442 2025-07-15-11:45:34.050.176 -> 2025-07-15-11:45:34.051.056 2025-07-15-11:45:34.053.235 -> 2025-07-15-11:45:34.054.795 2025-07-15-11:45:34.071.913 -> 2025-07-15-11:45:34.072.644 2025-07-15-11:45:34.073.681 -> 2025-07-15-11:45:34.074.312 2025-07-15-11:45:34.076.955 -> 2025-07-15-11:45:34.077.684 2025-07-15-11:45:34.082.498 -> 2025-07-15-11:45:34.083.234 2025-07-15-11:45:34.085.605 -> 2025-07-15-11:45:34.086.391 2025-07-15-11:45:34.090.252 -> 2025-07-15-11:45:34.091.113 2025-07-15-11:45:34.092.457 -> 2025-07-15-11:45:34.093.158 2025-07-15-11:45:34.095.832 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.096.490 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 97 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.095.807 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:433] Eval] Add root_func_graph_backup [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.099.320 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 97; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 88, 89, 90, 91, 92, 93, 94, 95, 96, 97; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.051.056 2025-07-15-11:45:34.053.235 -> 2025-07-15-11:45:34.054.795 2025-07-15-11:45:34.071.913 -> 2025-07-15-11:45:34.072.644 2025-07-15-11:45:34.073.681 -> 2025-07-15-11:45:34.074.312 2025-07-15-11:45:34.076.955 -> 2025-07-15-11:45:34.077.684 2025-07-15-11:45:34.082.498 -> 2025-07-15-11:45:34.083.234 2025-07-15-11:45:34.085.605 -> 2025-07-15-11:45:34.086.391 2025-07-15-11:45:34.090.252 -> 2025-07-15-11:45:34.091.113 2025-07-15-11:45:34.092.457 -> 2025-07-15-11:45:34.093.158 2025-07-15-11:45:34.095.832 -> 2025-07-15-11:45:34.096.536 2025-07-15-11:45:34.099.129 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.099.807 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 98 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.099.415 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 62; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 53, 54, 55, 56, 57, 58, 59, 60, 61, 62; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.056.404 2025-07-15-11:45:34.059.320 -> 2025-07-15-11:45:34.060.053 2025-07-15-11:45:34.063.867 -> 2025-07-15-11:45:34.067.382 2025-07-15-11:45:34.068.019 -> 2025-07-15-11:45:34.068.648 2025-07-15-11:45:34.072.995 -> 2025-07-15-11:45:34.074.361 2025-07-15-11:45:34.078.520 -> 2025-07-15-11:45:34.079.247 2025-07-15-11:45:34.082.113 -> 2025-07-15-11:45:34.082.871 2025-07-15-11:45:34.085.977 -> 2025-07-15-11:45:34.086.656 2025-07-15-11:45:34.089.406 -> 2025-07-15-11:45:34.090.231 2025-07-15-11:45:34.093.057 -> 2025-07-15-11:45:34.093.826 2025-07-15-11:45:34.099.231 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.099.841 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 63 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.102.812 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 98; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 89, 90, 91, 92, 93, 94, 95, 96, 97, 98; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.054.795 2025-07-15-11:45:34.071.913 -> 2025-07-15-11:45:34.072.644 2025-07-15-11:45:34.073.681 -> 2025-07-15-11:45:34.074.312 2025-07-15-11:45:34.076.955 -> 2025-07-15-11:45:34.077.684 2025-07-15-11:45:34.082.498 -> 2025-07-15-11:45:34.083.234 2025-07-15-11:45:34.085.605 -> 2025-07-15-11:45:34.086.391 2025-07-15-11:45:34.090.252 -> 2025-07-15-11:45:34.091.113 2025-07-15-11:45:34.092.457 -> 2025-07-15-11:45:34.093.158 2025-07-15-11:45:34.095.832 -> 2025-07-15-11:45:34.096.536 2025-07-15-11:45:34.099.129 -> 2025-07-15-11:45:34.099.859 2025-07-15-11:45:34.102.649 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.103.208 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 99 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.107.981 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 99; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 90, 91, 92, 93, 94, 95, 96, 97, 98, 99; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.072.644 2025-07-15-11:45:34.073.681 -> 2025-07-15-11:45:34.074.312 2025-07-15-11:45:34.076.955 -> 2025-07-15-11:45:34.077.684 2025-07-15-11:45:34.082.498 -> 2025-07-15-11:45:34.083.234 2025-07-15-11:45:34.085.605 -> 2025-07-15-11:45:34.086.391 2025-07-15-11:45:34.090.252 -> 2025-07-15-11:45:34.091.113 2025-07-15-11:45:34.092.457 -> 2025-07-15-11:45:34.093.158 2025-07-15-11:45:34.095.832 -> 2025-07-15-11:45:34.096.536 2025-07-15-11:45:34.099.129 -> 2025-07-15-11:45:34.099.859 2025-07-15-11:45:34.102.649 -> 2025-07-15-11:45:34.103.244 2025-07-15-11:45:34.107.815 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.108.448 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 100 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.101.959 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 63; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 54, 55, 56, 57, 58, 59, 60, 61, 62, 63; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.060.053 2025-07-15-11:45:34.063.867 -> 2025-07-15-11:45:34.067.382 2025-07-15-11:45:34.068.019 -> 2025-07-15-11:45:34.068.648 2025-07-15-11:45:34.072.995 -> 2025-07-15-11:45:34.074.361 2025-07-15-11:45:34.078.520 -> 2025-07-15-11:45:34.079.247 2025-07-15-11:45:34.082.113 -> 2025-07-15-11:45:34.082.871 2025-07-15-11:45:34.085.977 -> 2025-07-15-11:45:34.086.656 2025-07-15-11:45:34.089.406 -> 2025-07-15-11:45:34.090.231 2025-07-15-11:45:34.093.057 -> 2025-07-15-11:45:34.093.826 2025-07-15-11:45:34.099.231 -> 2025-07-15-11:45:34.099.881 2025-07-15-11:45:34.101.796 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.102.467 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 64 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.105.976 [mindspore/ccsrc/pipeline/jit/ps/action.cc:316] AbstractAnalyze] function call depth: 0, simulate call depth: 0 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.106.562 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 64; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 55, 56, 57, 58, 59, 60, 61, 62, 63, 64; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.067.382 2025-07-15-11:45:34.068.019 -> 2025-07-15-11:45:34.068.648 2025-07-15-11:45:34.072.995 -> 2025-07-15-11:45:34.074.361 2025-07-15-11:45:34.078.520 -> 2025-07-15-11:45:34.079.247 2025-07-15-11:45:34.082.113 -> 2025-07-15-11:45:34.082.871 2025-07-15-11:45:34.085.977 -> 2025-07-15-11:45:34.086.656 2025-07-15-11:45:34.089.406 -> 2025-07-15-11:45:34.090.231 2025-07-15-11:45:34.093.057 -> 2025-07-15-11:45:34.093.826 2025-07-15-11:45:34.099.231 -> 2025-07-15-11:45:34.099.881 2025-07-15-11:45:34.101.796 -> 2025-07-15-11:45:34.102.517 2025-07-15-11:45:34.106.360 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] ANALYZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.106.836 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:313] Run] Specialize set top func graph context: {FuncGraph: 263_1_mindspore_train_dataset_helper__DataWrapper_construct_433 Args: [0]: AbstractRefTensor(key: conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [1]: AbstractRefTensor(key: conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [2]: AbstractRefTensor(key: fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [3]: AbstractRefTensor(key: fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [4]: AbstractRefTensor(key: fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [5]: AbstractRefTensor(key: fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [6]: AbstractRefTensor(key: fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [7]: AbstractRefTensor(key: fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [8]: AbstractRefTensor(key: global_step, ref_value: AbstractRefTensor(shape: (1), element: AbstractScalar(Type: Int32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [9]: AbstractRefTensor(key: momentum, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [10]: AbstractRefTensor(key: learning_rate, ref_value: AbstractRefTensor(shape: (), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [11]: AbstractRefTensor(key: moments.conv1.weight, ref_value: AbstractRefTensor(shape: (6, 1, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [12]: AbstractRefTensor(key: moments.conv2.weight, ref_value: AbstractRefTensor(shape: (16, 6, 5, 5), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [13]: AbstractRefTensor(key: moments.fc1.weight, ref_value: AbstractRefTensor(shape: (120, 400), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [14]: AbstractRefTensor(key: moments.fc1.bias, ref_value: AbstractRefTensor(shape: (120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [15]: AbstractRefTensor(key: moments.fc2.weight, ref_value: AbstractRefTensor(shape: (84, 120), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [16]: AbstractRefTensor(key: moments.fc2.bias, ref_value: AbstractRefTensor(shape: (84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [17]: AbstractRefTensor(key: moments.fc3.weight, ref_value: AbstractRefTensor(shape: (10, 84), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), [18]: AbstractRefTensor(key: moments.fc3.bias, ref_value: AbstractRefTensor(shape: (10), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), value_ptr: 0x18584450, value: ValueAny), value: ValueAny, is_parameter), Parent: } [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.107.043 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 65 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.110.835 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 65; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 56, 57, 58, 59, 60, 61, 62, 63, 64, 65; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.068.648 2025-07-15-11:45:34.072.995 -> 2025-07-15-11:45:34.074.361 2025-07-15-11:45:34.078.520 -> 2025-07-15-11:45:34.079.247 2025-07-15-11:45:34.082.113 -> 2025-07-15-11:45:34.082.871 2025-07-15-11:45:34.085.977 -> 2025-07-15-11:45:34.086.656 2025-07-15-11:45:34.089.406 -> 2025-07-15-11:45:34.090.231 2025-07-15-11:45:34.093.057 -> 2025-07-15-11:45:34.093.826 2025-07-15-11:45:34.099.231 -> 2025-07-15-11:45:34.099.881 2025-07-15-11:45:34.101.796 -> 2025-07-15-11:45:34.102.517 2025-07-15-11:45:34.106.360 -> 2025-07-15-11:45:34.107.080 2025-07-15-11:45:34.110.644 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.111.367 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 66 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.114.284 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.renormalize.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.114.417 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.add_forward_monad_depend [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.114.516 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.add_forward_monad_depend.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.114.560 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.auto_monad_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.114.597 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.auto_monad_grad.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.114.633 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.auto_monad_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.115.241 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.auto_monad_eliminator.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.115.325 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.cse [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.115.503 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 66; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 57, 58, 59, 60, 61, 62, 63, 64, 65, 66; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.074.361 2025-07-15-11:45:34.078.520 -> 2025-07-15-11:45:34.079.247 2025-07-15-11:45:34.082.113 -> 2025-07-15-11:45:34.082.871 2025-07-15-11:45:34.085.977 -> 2025-07-15-11:45:34.086.656 2025-07-15-11:45:34.089.406 -> 2025-07-15-11:45:34.090.231 2025-07-15-11:45:34.093.057 -> 2025-07-15-11:45:34.093.826 2025-07-15-11:45:34.099.231 -> 2025-07-15-11:45:34.099.881 2025-07-15-11:45:34.101.796 -> 2025-07-15-11:45:34.102.517 2025-07-15-11:45:34.106.360 -> 2025-07-15-11:45:34.107.080 2025-07-15-11:45:34.110.644 -> 2025-07-15-11:45:34.111.408 2025-07-15-11:45:34.115.355 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.115.958 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 67 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.120.687 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 67; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 58, 59, 60, 61, 62, 63, 64, 65, 66, 67; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.079.247 2025-07-15-11:45:34.082.113 -> 2025-07-15-11:45:34.082.871 2025-07-15-11:45:34.085.977 -> 2025-07-15-11:45:34.086.656 2025-07-15-11:45:34.089.406 -> 2025-07-15-11:45:34.090.231 2025-07-15-11:45:34.093.057 -> 2025-07-15-11:45:34.093.826 2025-07-15-11:45:34.099.231 -> 2025-07-15-11:45:34.099.881 2025-07-15-11:45:34.101.796 -> 2025-07-15-11:45:34.102.517 2025-07-15-11:45:34.106.360 -> 2025-07-15-11:45:34.107.080 2025-07-15-11:45:34.110.644 -> 2025-07-15-11:45:34.111.408 2025-07-15-11:45:34.115.355 -> 2025-07-15-11:45:34.116.004 2025-07-15-11:45:34.120.463 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.121.276 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 68 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.122.320 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.cse.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.122.457 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r2.j0.a_3 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.122.512 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r2_a_3 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.122.551 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.122.879 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.122.941 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.123.207 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.123.249 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.123.518 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.123.566 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.123.818 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.123.866 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.124.142 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.124.200 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.124.430 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 68; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 59, 60, 61, 62, 63, 64, 65, 66, 67, 68; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.082.871 2025-07-15-11:45:34.085.977 -> 2025-07-15-11:45:34.086.656 2025-07-15-11:45:34.089.406 -> 2025-07-15-11:45:34.090.231 2025-07-15-11:45:34.093.057 -> 2025-07-15-11:45:34.093.826 2025-07-15-11:45:34.099.231 -> 2025-07-15-11:45:34.099.881 2025-07-15-11:45:34.101.796 -> 2025-07-15-11:45:34.102.517 2025-07-15-11:45:34.106.360 -> 2025-07-15-11:45:34.107.080 2025-07-15-11:45:34.110.644 -> 2025-07-15-11:45:34.111.408 2025-07-15-11:45:34.115.355 -> 2025-07-15-11:45:34.116.004 2025-07-15-11:45:34.120.463 -> 2025-07-15-11:45:34.121.326 2025-07-15-11:45:34.124.276 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.124.466 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.124.588 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.124.861 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.124.904 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.124.928 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 69 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.125.156 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.125.201 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r2.j0.a_3.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.125.255 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.expand_dump_flag [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.125.292 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.expand_dump_flag.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.125.327 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.switch_simplify [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.125.363 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_switch_simplify [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.125.698 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.switch_simplify.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.125.756 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.loop_unroll [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.125.789 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_loop_unroll [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.126.108 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.loop_unroll.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.126.160 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.126.194 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_a_1 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.129.062 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 69; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 60, 61, 62, 63, 64, 65, 66, 67, 68, 69; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.086.656 2025-07-15-11:45:34.089.406 -> 2025-07-15-11:45:34.090.231 2025-07-15-11:45:34.093.057 -> 2025-07-15-11:45:34.093.826 2025-07-15-11:45:34.099.231 -> 2025-07-15-11:45:34.099.881 2025-07-15-11:45:34.101.796 -> 2025-07-15-11:45:34.102.517 2025-07-15-11:45:34.106.360 -> 2025-07-15-11:45:34.107.080 2025-07-15-11:45:34.110.644 -> 2025-07-15-11:45:34.111.408 2025-07-15-11:45:34.115.355 -> 2025-07-15-11:45:34.116.004 2025-07-15-11:45:34.120.463 -> 2025-07-15-11:45:34.121.326 2025-07-15-11:45:34.124.276 -> 2025-07-15-11:45:34.124.963 2025-07-15-11:45:34.128.864 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.129.600 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 70 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.135.279 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 70; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 61, 62, 63, 64, 65, 66, 67, 68, 69, 70; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.090.231 2025-07-15-11:45:34.093.057 -> 2025-07-15-11:45:34.093.826 2025-07-15-11:45:34.099.231 -> 2025-07-15-11:45:34.099.881 2025-07-15-11:45:34.101.796 -> 2025-07-15-11:45:34.102.517 2025-07-15-11:45:34.106.360 -> 2025-07-15-11:45:34.107.080 2025-07-15-11:45:34.110.644 -> 2025-07-15-11:45:34.111.408 2025-07-15-11:45:34.115.355 -> 2025-07-15-11:45:34.116.004 2025-07-15-11:45:34.120.463 -> 2025-07-15-11:45:34.121.326 2025-07-15-11:45:34.124.276 -> 2025-07-15-11:45:34.124.963 2025-07-15-11:45:34.128.864 -> 2025-07-15-11:45:34.129.643 2025-07-15-11:45:34.134.948 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.135.586 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_1.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.135.674 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.invalid_dout_check [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.137.607 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.137.770 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPool [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.136.000 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.invalid_dout_check.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.136.066 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.recompute_prepare [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.136.105 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_recompute_prepare [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.136.416 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.recompute_prepare.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.136.466 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.updatestate_depend_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.136.660 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.updatestate_depend_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.136.711 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.136.891 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.136.941 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.137.136 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.updatestate_loads_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.137.224 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.parameter_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.137.266 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.parameter_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.137.304 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_2 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.137.337 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r3_a_2 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.137.372 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_simplify [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.137.633 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_simplify, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.137.676 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: specialize_transform [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.137.919 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: specialize_transform, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.137.954 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: merge_addn [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.138.206 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: merge_addn, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.138.255 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: compare_switch_simplify [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.138.500 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPool [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.138.532 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: compare_switch_simplify, change: 0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.138.560 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPool, kernel type:acl_kernel [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.138.577 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: addn_check_dump [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.138.616 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2D [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.138.685 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 71 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.138.838 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: addn_check_dump, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.138.883 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.138.928 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2D [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.138.976 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2D, kernel type:acl_kernel [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.139.177 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.139.223 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_environ_get_switch [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.139.488 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_environ_get_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.139.527 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.139.795 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.139.837 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.140.230 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.140.288 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: arithmetic_simplify [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.139.394 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.139.464 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPool [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.139.691 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPool [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.139.734 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPool, kernel type:acl_kernel [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.139.786 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[flatten] [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.139.892 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Flatten, kernel type:rt_kernel [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.140.675 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: arithmetic_simplify, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.140.724 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.140.995 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.141.042 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.141.348 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.141.403 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.141.682 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.141.734 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: incorporate_call_switch [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.142.012 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: incorporate_call_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.142.073 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.142.350 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.142.404 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: depend_value_elim [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.142.771 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: depend_value_elim, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.142.831 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reduce_all_const_elim [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.143.148 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reduce_all_const_elim, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.143.210 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_2.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.143.270 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.accelerated_algorithm [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.143.319 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_accelerated_algorithm [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.143.565 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 71; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 1, 1; device_queue: 62, 63, 64, 65, 66, 67, 68, 69, 70, 71; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.093.826 2025-07-15-11:45:34.099.231 -> 2025-07-15-11:45:34.099.881 2025-07-15-11:45:34.101.796 -> 2025-07-15-11:45:34.102.517 2025-07-15-11:45:34.106.360 -> 2025-07-15-11:45:34.107.080 2025-07-15-11:45:34.110.644 -> 2025-07-15-11:45:34.111.408 2025-07-15-11:45:34.115.355 -> 2025-07-15-11:45:34.116.004 2025-07-15-11:45:34.120.463 -> 2025-07-15-11:45:34.121.326 2025-07-15-11:45:34.124.276 -> 2025-07-15-11:45:34.124.963 2025-07-15-11:45:34.128.864 -> 2025-07-15-11:45:34.129.643 2025-07-15-11:45:34.134.948 -> 2025-07-15-11:45:34.138.785 2025-07-15-11:45:34.142.665 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.143.715 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.accelerated_algorithm.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.143.784 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.shard [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.143.824 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:627] Shard] Shard pass starts. [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.143.864 [mindspore/ccsrc/frontend/parallel/shard/shard.cc:630] Shard] Shard Prim don't exist, skip Shard pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.143.896 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.shard.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.143.938 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.meta_shard_fg_expand [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.144.063 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.meta_shard_fg_expand.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.144.118 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.shard_inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.144.164 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_shard_inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.144.511 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.shard_inline.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.144.580 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_send_recv [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.144.671 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 72 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.144.837 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_send_recv.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.144.904 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.auto_parallel [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.145.134 [mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc:154] SkipAutoParallel] Now leaving step auto parallel, used time: 172 us [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.145.190 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.auto_parallel.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.145.247 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.parallel [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.145.316 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.parallel.changed [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.145.395 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.flash_sp [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.145.437 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.flash_sp.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.145.482 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_comm [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.145.703 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_comm.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.145.764 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.allreduce_fusion [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.145.962 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.allreduce_fusion.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.146.018 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.matmul_add_comm_reduction [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.146.265 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.matmul_add_comm_reduction.unchanged [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.146.255 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 72; host_queue: 0, 0, 0, 0, 0, 0, 1, 1, 1, 0; device_queue: 63, 64, 65, 66, 67, 68, 69, 70, 71, 72; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.099.881 2025-07-15-11:45:34.101.796 -> 2025-07-15-11:45:34.102.517 2025-07-15-11:45:34.106.360 -> 2025-07-15-11:45:34.107.080 2025-07-15-11:45:34.110.644 -> 2025-07-15-11:45:34.111.408 2025-07-15-11:45:34.115.355 -> 2025-07-15-11:45:34.116.004 2025-07-15-11:45:34.120.463 -> 2025-07-15-11:45:34.121.326 2025-07-15-11:45:34.124.276 -> 2025-07-15-11:45:34.124.963 2025-07-15-11:45:34.128.864 -> 2025-07-15-11:45:34.129.643 2025-07-15-11:45:34.134.948 -> 2025-07-15-11:45:34.138.785 2025-07-15-11:45:34.142.665 -> 2025-07-15-11:45:34.144.739 2025-07-15-11:45:34.145.639 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.146.334 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.allreduce_slice_to_reducescatter [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.146.464 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.allreduce_slice_to_reducescatter.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.146.520 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.virtual_shard_identity [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.146.566 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_virtual_shard_identity [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.146.925 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.virtual_shard_identity.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.146.989 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.virtual_dataset [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.147.027 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_virtual_dataset [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.147.130 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 73 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.147.350 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.virtual_dataset.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.147.420 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.get_grad_eliminate_ [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.147.462 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_get_grad_eliminate_ [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.147.795 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.get_grad_eliminate_.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.147.859 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.virtual_output [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.147.898 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_virtual_output [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.148.203 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 73; host_queue: 0, 0, 0, 0, 1, 1, 1, 0, 1, 1; device_queue: 64, 65, 66, 67, 68, 69, 70, 71, 72, 73; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.102.517 2025-07-15-11:45:34.106.360 -> 2025-07-15-11:45:34.107.080 2025-07-15-11:45:34.110.644 -> 2025-07-15-11:45:34.111.408 2025-07-15-11:45:34.115.355 -> 2025-07-15-11:45:34.116.004 2025-07-15-11:45:34.120.463 -> 2025-07-15-11:45:34.121.326 2025-07-15-11:45:34.124.276 -> 2025-07-15-11:45:34.124.963 2025-07-15-11:45:34.128.864 -> 2025-07-15-11:45:34.129.643 2025-07-15-11:45:34.134.948 -> 2025-07-15-11:45:34.138.785 2025-07-15-11:45:34.142.665 -> 2025-07-15-11:45:34.144.739 2025-07-15-11:45:34.145.639 -> 2025-07-15-11:45:34.147.223 2025-07-15-11:45:34.147.682 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.148.220 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.virtual_output.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.148.334 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_forward [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.148.563 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_forward.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.148.622 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.offload_activation [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.148.887 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.offload_activation.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.148.947 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.cell_reuse_recompute_pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.148.991 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.cell_reuse_recompute_pass.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.149.034 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.cell_reuse_handle_not_recompute_node_pass [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.149.038 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 74 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.149.075 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r3_cell_reuse_handle_not_recompute_node_pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.149.186 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: remove_not_recompute_node [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.149.480 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 74; host_queue: 0, 0, 1, 1, 1, 0, 1, 1, 1, 0; device_queue: 65, 66, 67, 68, 69, 70, 71, 72, 73, 74; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.107.080 2025-07-15-11:45:34.110.644 -> 2025-07-15-11:45:34.111.408 2025-07-15-11:45:34.115.355 -> 2025-07-15-11:45:34.116.004 2025-07-15-11:45:34.120.463 -> 2025-07-15-11:45:34.121.326 2025-07-15-11:45:34.124.276 -> 2025-07-15-11:45:34.124.963 2025-07-15-11:45:34.128.864 -> 2025-07-15-11:45:34.129.643 2025-07-15-11:45:34.134.948 -> 2025-07-15-11:45:34.138.785 2025-07-15-11:45:34.142.665 -> 2025-07-15-11:45:34.144.739 2025-07-15-11:45:34.145.639 -> 2025-07-15-11:45:34.147.223 2025-07-15-11:45:34.147.682 -> 2025-07-15-11:45:34.149.141 2025-07-15-11:45:34.149.343 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.149.869 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: remove_not_recompute_node, change: 0 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.149.918 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 75 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.149.937 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.cell_reuse_handle_not_recompute_node_pass.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.150.022 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.merge_recompute_call_nodes [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.150.070 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.merge_recompute_call_nodes.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.150.114 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.before_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.150.153 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_before_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.150.839 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.before_grad.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.150.924 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.set_forward_comm_id_for_comm_node_pass [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.151.183 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.set_forward_comm_id_for_comm_node_pass.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.151.246 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.meta_fg_expand [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.151.422 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.meta_fg_expand.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.151.478 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.flash_sp_send_recv_attached [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.151.521 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.flash_sp_send_recv_attached.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.151.598 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.receive_attached [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.151.641 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.receive_attached.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.151.684 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.after_resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.151.723 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_after_resolve [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.152.117 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.after_resolve.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.152.186 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_after_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.152.225 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_a_r3_a_after_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.152.745 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_after_grad.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.152.812 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.renormalize [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.152.845 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.renormalize.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.152.885 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.add_forward_monad_depend [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.152.925 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.add_forward_monad_depend.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.152.962 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.auto_monad_grad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.152.997 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.auto_monad_grad.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.153.032 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.auto_monad_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.153.529 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.auto_monad_eliminator.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.153.608 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.cse [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.154.145 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 75; host_queue: 1, 1, 1, 0, 1, 1, 1, 0, 0, 0; device_queue: 66, 67, 68, 69, 70, 71, 72, 73, 74, 75; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.111.408 2025-07-15-11:45:34.115.355 -> 2025-07-15-11:45:34.116.004 2025-07-15-11:45:34.120.463 -> 2025-07-15-11:45:34.121.326 2025-07-15-11:45:34.124.276 -> 2025-07-15-11:45:34.124.963 2025-07-15-11:45:34.128.864 -> 2025-07-15-11:45:34.129.643 2025-07-15-11:45:34.134.948 -> 2025-07-15-11:45:34.138.785 2025-07-15-11:45:34.142.665 -> 2025-07-15-11:45:34.144.739 2025-07-15-11:45:34.145.639 -> 2025-07-15-11:45:34.147.223 2025-07-15-11:45:34.147.682 -> 2025-07-15-11:45:34.149.141 2025-07-15-11:45:34.149.343 -> 2025-07-15-11:45:34.149.970 2025-07-15-11:45:34.153.961 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.154.259 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.cse.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.154.321 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_a.r3.j0.a_3 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.154.356 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_a_r3_a_3 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.154.390 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: same_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.154.707 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: same_eliminate, change: 0 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.154.708 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 76 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.154.763 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: check_bprop_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.155.075 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: check_bprop_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.155.119 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: switch_layer_defer_inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.155.382 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: switch_layer_defer_inline, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.155.425 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: replace_applicator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.155.677 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: replace_applicator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.155.723 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: row_tensor_add_zeros_like [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.155.990 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: row_tensor_add_zeros_like, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.156.038 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: mini_step_allgather_replace [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.156.315 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: mini_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.156.358 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: micro_step_allgather_replace [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.156.642 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: micro_step_allgather_replace, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.156.692 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: split_environ_get_set_with_tuple_value [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.156.969 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: split_environ_get_set_with_tuple_value, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.157.049 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_a.r3.j0.a_3.unchanged [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.157.109 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass opt_a end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.157.158 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass py_interpret_to_execute_after_opt_a start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.157.447 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass py_interpret_to_execute_after_opt_a end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.157.506 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass slice_cell_reuse_recomputed_activation start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.157.549 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass slice_cell_reuse_recomputed_activation end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.157.583 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass rewriter_after_opt_a start ... [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.158.394 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 76; host_queue: 1, 0, 1, 1, 1, 0, 0, 0, 0, 0; device_queue: 67, 68, 69, 70, 71, 72, 73, 74, 75, 76; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.116.004 2025-07-15-11:45:34.120.463 -> 2025-07-15-11:45:34.121.326 2025-07-15-11:45:34.124.276 -> 2025-07-15-11:45:34.124.963 2025-07-15-11:45:34.128.864 -> 2025-07-15-11:45:34.129.643 2025-07-15-11:45:34.134.948 -> 2025-07-15-11:45:34.138.785 2025-07-15-11:45:34.142.665 -> 2025-07-15-11:45:34.144.739 2025-07-15-11:45:34.145.639 -> 2025-07-15-11:45:34.147.223 2025-07-15-11:45:34.147.682 -> 2025-07-15-11:45:34.149.141 2025-07-15-11:45:34.149.343 -> 2025-07-15-11:45:34.149.970 2025-07-15-11:45:34.153.961 -> 2025-07-15-11:45:34.154.790 2025-07-15-11:45:34.157.957 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.158.958 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 77 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.160.092 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass rewriter_after_opt_a end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.160.195 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass convert_after_rewriter start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.160.490 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass convert_after_rewriter end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.160.542 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass order_py_execute_after_rewriter start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.160.723 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass order_py_execute_after_rewriter end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.160.768 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass opt_b start ... [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.160.823 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.b_1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.160.865 [mindspore/ccsrc/frontend/optimizer/opt.cc:419] operator()] SUB >> IR, opt_b_r1_b_1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.160.904 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: zero_like_fill_zero [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.161.199 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: zero_like_fill_zero, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.161.253 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: list_to_tuple_eliminator_ [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.161.514 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: list_to_tuple_eliminator_, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.161.570 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_to_list_eliminator_ [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.161.838 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_to_list_eliminator_, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.161.891 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.162.205 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.162.267 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_const_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.162.578 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_const_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.162.637 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_set_item_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.162.910 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.162.959 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_set_item_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.163.270 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_set_item_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.163.325 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_depend_reorder [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.163.625 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_depend_reorder, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.163.674 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: tuple_list_convert_item_index_to_positive [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.163.978 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: tuple_list_convert_item_index_to_positive, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.164.029 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: make_slice_get_slice_eliminator [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.164.312 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: make_slice_get_slice_eliminator, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.164.368 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: float_tuple_getitem_switch [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.164.537 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 77; host_queue: 1, 1, 1, 0, 0, 0, 0, 0, 0, 0; device_queue: 68, 69, 70, 71, 72, 73, 74, 75, 76, 77; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.121.326 2025-07-15-11:45:34.124.276 -> 2025-07-15-11:45:34.124.963 2025-07-15-11:45:34.128.864 -> 2025-07-15-11:45:34.129.643 2025-07-15-11:45:34.134.948 -> 2025-07-15-11:45:34.138.785 2025-07-15-11:45:34.142.665 -> 2025-07-15-11:45:34.144.739 2025-07-15-11:45:34.145.639 -> 2025-07-15-11:45:34.147.223 2025-07-15-11:45:34.147.682 -> 2025-07-15-11:45:34.149.141 2025-07-15-11:45:34.149.343 -> 2025-07-15-11:45:34.149.970 2025-07-15-11:45:34.153.961 -> 2025-07-15-11:45:34.154.790 2025-07-15-11:45:34.157.957 -> 2025-07-15-11:45:34.159.015 2025-07-15-11:45:34.164.153 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.164.692 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: float_tuple_getitem_switch, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.164.746 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: reset_defer_inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.165.008 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: reset_defer_inline, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.165.062 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: inline [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.165.352 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: inline, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.165.406 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_useless_node_eliminater [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.165.792 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_useless_node_eliminater, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.165.855 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: updatestate_pure_node_eliminater [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.166.066 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 78 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.166.202 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: updatestate_pure_node_eliminater, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.166.261 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: load_eliminater [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.166.595 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: load_eliminater, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.166.665 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: redundant_stop_gradient_eliminater [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.166.960 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: redundant_stop_gradient_eliminater, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.167.013 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: special_op_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.167.319 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: special_op_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.167.375 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: dumpgradient_eliminate [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.167.453 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 78; host_queue: 1, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 69, 70, 71, 72, 73, 74, 75, 76, 77, 78; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.124.963 2025-07-15-11:45:34.128.864 -> 2025-07-15-11:45:34.129.643 2025-07-15-11:45:34.134.948 -> 2025-07-15-11:45:34.138.785 2025-07-15-11:45:34.142.665 -> 2025-07-15-11:45:34.144.739 2025-07-15-11:45:34.145.639 -> 2025-07-15-11:45:34.147.223 2025-07-15-11:45:34.147.682 -> 2025-07-15-11:45:34.149.141 2025-07-15-11:45:34.149.343 -> 2025-07-15-11:45:34.149.970 2025-07-15-11:45:34.153.961 -> 2025-07-15-11:45:34.154.790 2025-07-15-11:45:34.157.957 -> 2025-07-15-11:45:34.159.015 2025-07-15-11:45:34.164.153 -> 2025-07-15-11:45:34.166.154 2025-07-15-11:45:34.167.234 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.167.665 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: dumpgradient_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.167.719 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_eliminate [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.167.965 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 79 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.168.000 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.168.059 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_add_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.168.354 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_add_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.168.407 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_set_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.168.695 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_set_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.168.751 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_get_depend_swap [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.169.039 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_get_depend_swap, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.169.102 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: environ_add_const_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.169.387 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: environ_add_const_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.169.464 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: value_based_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.169.736 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: value_based_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.169.790 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: parallel_virtual_node [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.170.053 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: parallel_virtual_node, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.170.109 [mindspore/ccsrc/frontend/optimizer/opt.cc:359] ApplySubstitutionsToIR] Start substitution: const_output_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.170.382 [mindspore/ccsrc/frontend/optimizer/opt.cc:366] ApplySubstitutionsToIR] End substitution: const_output_eliminate, change: 0 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.170.457 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.b_1.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.170.514 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.b_2 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.170.560 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_b_r1_b_2 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.170.877 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.b_2.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.170.941 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.updatestate_depend_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.171.184 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.updatestate_depend_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.171.247 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.171.439 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.171.490 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.171.681 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.updatestate_loads_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.171.733 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.renormalize [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.171.770 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.renormalize.unchanged [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.171.786 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 79; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 70, 71, 72, 73, 74, 75, 76, 77, 78, 79; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.129.643 2025-07-15-11:45:34.134.948 -> 2025-07-15-11:45:34.138.785 2025-07-15-11:45:34.142.665 -> 2025-07-15-11:45:34.144.739 2025-07-15-11:45:34.145.639 -> 2025-07-15-11:45:34.147.223 2025-07-15-11:45:34.147.682 -> 2025-07-15-11:45:34.149.141 2025-07-15-11:45:34.149.343 -> 2025-07-15-11:45:34.149.970 2025-07-15-11:45:34.153.961 -> 2025-07-15-11:45:34.154.790 2025-07-15-11:45:34.157.957 -> 2025-07-15-11:45:34.159.015 2025-07-15-11:45:34.164.153 -> 2025-07-15-11:45:34.166.154 2025-07-15-11:45:34.167.234 -> 2025-07-15-11:45:34.168.019 2025-07-15-11:45:34.171.543 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.171.806 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_b.r1.j0.cse [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.172.528 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_b.r1.j0.cse.unchanged [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.172.599 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass opt_b end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.172.643 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass optimize_parallel_all_gather_comm start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.173.055 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OptimizeParallelAllGatherComm [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.173.107 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass optimize_parallel_all_gather_comm end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.173.149 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_param_gather start ... [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.173.228 [mindspore/ccsrc/frontend/parallel/pass/overlap_param_gather.cc:151] OverlapParamGather] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.173.266 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_param_gather end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.173.300 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass cconv start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.173.460 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass cconv end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.173.503 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass loop_unroll start ... [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.173.834 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 80 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.174.666 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.174.822 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAdd [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.175.537 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAdd [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.175.614 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start loop_unroll_optimizer.r1.j0.loop_unroll [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.175.607 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAdd, kernel type:acl_kernel [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.175.696 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, loop_unroll_optimizer_r1_loop_unroll [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.176.038 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.176.119 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End loop_unroll_optimizer.r1.j0.loop_unroll.unchanged [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.176.195 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass loop_unroll end. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.176.183 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 80; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 71, 72, 73, 74, 75, 76, 77, 78, 79, 80; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.138.785 2025-07-15-11:45:34.142.665 -> 2025-07-15-11:45:34.144.739 2025-07-15-11:45:34.145.639 -> 2025-07-15-11:45:34.147.223 2025-07-15-11:45:34.147.682 -> 2025-07-15-11:45:34.149.141 2025-07-15-11:45:34.149.343 -> 2025-07-15-11:45:34.149.970 2025-07-15-11:45:34.153.961 -> 2025-07-15-11:45:34.154.790 2025-07-15-11:45:34.157.957 -> 2025-07-15-11:45:34.159.015 2025-07-15-11:45:34.164.153 -> 2025-07-15-11:45:34.166.154 2025-07-15-11:45:34.167.234 -> 2025-07-15-11:45:34.168.019 2025-07-15-11:45:34.171.543 -> 2025-07-15-11:45:34.173.955 2025-07-15-11:45:34.175.918 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.176.247 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass opt_after_cconv start ... [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.176.377 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.c_1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.176.416 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_after_cconv_r1_c_1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.176.654 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.176.742 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAdd [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.177.033 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAdd [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.177.083 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAdd, kernel type:acl_kernel [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.177.383 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.177.835 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.177.913 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAdd [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.178.173 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAdd [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.178.222 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAdd, kernel type:acl_kernel [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.178.192 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 81 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.178.272 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.178.241 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.c_1.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.178.352 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.parameter_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.178.397 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.parameter_eliminate.unchanged [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.178.400 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.178.452 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.updatestate_depend_eliminate [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.178.461 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive SoftmaxCrossEntropyWithLogits [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.178.736 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.updatestate_depend_eliminate.unchanged [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.178.671 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive SoftmaxCrossEntropyWithLogits [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.178.716 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:SoftmaxCrossEntropyWithLogits, kernel type:acl_kernel [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.178.790 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.updatestate_assign_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.178.979 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.updatestate_assign_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.179.030 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.updatestate_loads_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.179.229 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.updatestate_loads_eliminate.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.179.279 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.cse [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.179.950 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.cse.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.180.037 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_cconv.r1.j0.renormalize [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.180.074 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_cconv.r1.j0.renormalize.unchanged [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.180.110 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass opt_after_cconv end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.180.193 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass remove_dup_value start ... [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.180.913 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 81; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 72, 73, 74, 75, 76, 77, 78, 79, 80, 81; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.144.739 2025-07-15-11:45:34.145.639 -> 2025-07-15-11:45:34.147.223 2025-07-15-11:45:34.147.682 -> 2025-07-15-11:45:34.149.141 2025-07-15-11:45:34.149.343 -> 2025-07-15-11:45:34.149.970 2025-07-15-11:45:34.153.961 -> 2025-07-15-11:45:34.154.790 2025-07-15-11:45:34.157.957 -> 2025-07-15-11:45:34.159.015 2025-07-15-11:45:34.164.153 -> 2025-07-15-11:45:34.166.154 2025-07-15-11:45:34.167.234 -> 2025-07-15-11:45:34.168.019 2025-07-15-11:45:34.171.543 -> 2025-07-15-11:45:34.173.955 2025-07-15-11:45:34.175.918 -> 2025-07-15-11:45:34.178.300 2025-07-15-11:45:34.180.691 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.181.057 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass remove_dup_value end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.181.133 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass tuple_transform start ... [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.181.184 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_trans_graph.r1.j0.d_1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.181.223 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_trans_graph_r1_d_1 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.181.418 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 82 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.183.682 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_trans_graph.r1.j0.d_1.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.183.791 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_trans_graph.r1.j0.renormalize [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.183.828 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_trans_graph.r1.j0.renormalize.unchanged [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.183.869 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass tuple_transform end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.183.909 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass partial_unused_args_eliminate start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.183.950 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass partial_unused_args_eliminate end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.183.983 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_cache_embedding start ... [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.184.394 [mindspore/ccsrc/frontend/parallel/cache_embedding/cache_embedding.cc:720] AddCacheEmbedding] Parameters are all not cache enable. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.184.471 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_cache_embedding end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.184.515 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_recomputation start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.185.977 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_recomputation end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.186.068 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass cse_after_recomputation start ... [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.186.151 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_recompute.r1.j0.cse [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.186.144 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 82; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 73, 74, 75, 76, 77, 78, 79, 80, 81, 82; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.147.223 2025-07-15-11:45:34.147.682 -> 2025-07-15-11:45:34.149.141 2025-07-15-11:45:34.149.343 -> 2025-07-15-11:45:34.149.970 2025-07-15-11:45:34.153.961 -> 2025-07-15-11:45:34.154.790 2025-07-15-11:45:34.157.957 -> 2025-07-15-11:45:34.159.015 2025-07-15-11:45:34.164.153 -> 2025-07-15-11:45:34.166.154 2025-07-15-11:45:34.167.234 -> 2025-07-15-11:45:34.168.019 2025-07-15-11:45:34.171.543 -> 2025-07-15-11:45:34.173.955 2025-07-15-11:45:34.175.918 -> 2025-07-15-11:45:34.178.300 2025-07-15-11:45:34.180.691 -> 2025-07-15-11:45:34.181.471 2025-07-15-11:45:34.185.858 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.186.358 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.186.517 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.186.696 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_recompute.r1.j0.cse.unchanged [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.186.753 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 83 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.186.756 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.186.767 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass cse_after_recomputation end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.186.848 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass environ_conv start ... [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.186.837 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ReduceMean [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.028 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass environ_conv end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.075 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass swap_dp_allreduce_reducescatter start ... [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.187.333 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ReduceMean [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.386 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass swap_dp_allreduce_reducescatter end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.436 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass bias_add_comm_swap start ... [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.187.392 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReduceMean, kernel type:acl_kernel [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.509 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass bias_add_comm_swap end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.543 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass label_micro_interleaved_index start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.613 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass label_micro_interleaved_index end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.649 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass label_fine_grained_interleaved_index start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.683 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass label_fine_grained_interleaved_index end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.714 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass merge_cast_opt start ... [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.747 [mindspore/ccsrc/frontend/parallel/pass/merge_cast_opt.cc:59] IsStepIn] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.793 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass merge_cast_opt end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.826 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass slice_recompute_activation start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.857 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass slice_recompute_activation end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.892 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass micro_interleaved_order_control start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.928 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass micro_interleaved_order_control end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.187.964 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass assign_add_opt start ... [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.061 [mindspore/ccsrc/frontend/parallel/pass/assign_add_opt.cc:372] IsNeedOptimizeAssignAdd] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.099 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass assign_add_opt end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.136 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass ForceFp32Comm start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.168 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass ForceFp32Comm end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.204 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass remove_cast_before_assign_add start ... [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.312 [mindspore/ccsrc/frontend/parallel/pass/remove_cast_before_assign_add.cc:45] RemoveCastBeforeAssignAdd] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.354 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass remove_cast_before_assign_add end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.389 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass full_micro_interleaved_order_control start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.465 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass full_micro_interleaved_order_control end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.505 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass reorder_send_recv_between_fp_bp start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.541 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass reorder_send_recv_between_fp_bp end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.575 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass comm_op_add_attrs start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.607 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass comm_op_add_attrs end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.641 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass add_comm_op_reuse_tag start ... [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.673 [mindspore/ccsrc/frontend/optimizer/comm_op_reuse_tag.cc:67] AddCommOpReuseTag] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.702 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass add_comm_op_reuse_tag end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.735 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass interleave_split_concat_branches start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.834 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass interleave_split_concat_branches end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.872 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass interleave_parallel_branches start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.908 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass interleave_parallel_branches end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.942 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_opt_shard_in_pipeline start ... [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.188.999 [mindspore/ccsrc/frontend/parallel/pass/overlap_opt_shard_in_pipeline.cc:100] OverlapOptShardInPipeline] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.033 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_opt_shard_in_pipeline end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.070 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_opt_shard_grad_in_pipeline start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.109 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_opt_shard_grad_in_pipeline end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.144 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass control_data_broadcast_order start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.604 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: ControlDataBroadcastOrderPass [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.665 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass control_data_broadcast_order end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.712 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass grouped_pairwise_exchange_alltoall start ... [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.748 [mindspore/ccsrc/frontend/optimizer/grouped_pairwise_exchange_alltoall.cc:695] SetGroupedPairwiseExchangeAllToAll] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.781 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass grouped_pairwise_exchange_alltoall end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.817 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass offloading_packed_experts start ... [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.857 [mindspore/ccsrc/frontend/parallel/pass/offloading_packed_expert.cc:763] SetOffloadingPackedExpert] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.189.987 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OffloadingPackedExpertFrontPass2 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.026 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass offloading_packed_experts end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.067 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_recompute_and_grad_model_parallel start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.239 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OverlapRecomputeAndGradModelParallel [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.286 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_recompute_and_grad_model_parallel end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.324 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_grad_matmul_and_grad_allreduce start ... [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.379 [mindspore/ccsrc/frontend/parallel/pass/overlap_gradmatmul_and_gradallreduce.cc:273] OverlapGradMatmulAndGradAllreduce] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.413 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_grad_matmul_and_grad_allreduce end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.475 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_recompute_allgather_and_fa_grad start ... [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.524 [mindspore/ccsrc/frontend/parallel/pass/overlap_recompute_allgather_and_flashattention_grad.cc:193] OverlapRecomputeAllGatherAndFlashAttentionGrad] parallel::g_device_manager is not initialized. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.559 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_recompute_allgather_and_fa_grad end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.592 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_recompute_comm start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.627 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_recompute_comm end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.662 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_grad_ring_attention start ... [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.190.730 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 83; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 74, 75, 76, 77, 78, 79, 80, 81, 82, 83; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.149.141 2025-07-15-11:45:34.149.343 -> 2025-07-15-11:45:34.149.970 2025-07-15-11:45:34.153.961 -> 2025-07-15-11:45:34.154.790 2025-07-15-11:45:34.157.957 -> 2025-07-15-11:45:34.159.015 2025-07-15-11:45:34.164.153 -> 2025-07-15-11:45:34.166.154 2025-07-15-11:45:34.167.234 -> 2025-07-15-11:45:34.168.019 2025-07-15-11:45:34.171.543 -> 2025-07-15-11:45:34.173.955 2025-07-15-11:45:34.175.918 -> 2025-07-15-11:45:34.178.300 2025-07-15-11:45:34.180.691 -> 2025-07-15-11:45:34.181.471 2025-07-15-11:45:34.185.858 -> 2025-07-15-11:45:34.186.816 2025-07-15-11:45:34.190.502 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.845 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OverlapGradRingAttentionPass [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.894 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_grad_ring_attention end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.190.931 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass overlap_grad_flash_sp start ... [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.191.315 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 84 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.191.539 [mindspore/ccsrc/pipeline/jit/ps/graph_circle_handler.cc:135] DetectAndRevertGraphCircle] No graph circle for pass: OverlapGradFlashSP [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.191.604 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass overlap_grad_flash_sp end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.191.665 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass begin_end_overlap_inline start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.191.700 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass begin_end_overlap_inline end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.191.736 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass split_matmul_comm_elemetwise start ... [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.191.808 [mindspore/ccsrc/frontend/parallel/pass/split_matmul_comm_elementwise_fp.cc:200] SplitMatmulCommElementwiseFp] SplitMatmulCommElementwiseFp is only support under [semi_]auto_parallel, skip it. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.191.841 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass split_matmul_comm_elemetwise end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.191.875 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass split_layernorm_comm start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.191.910 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass split_layernorm_comm end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.191.943 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass handle_group_info start ... [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.191.975 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass handle_group_info end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.192.008 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1332] operator()] Pass symbol_engine_optimizer start ... [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.192.062 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.build [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.192.216 [mindspore/ccsrc/frontend/optimizer/irpass/symbol_engine_optimizer.cc:44] operator()] There is no dynamic shape node, the SymbolEngineBuilder is disabled. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.192.259 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.build.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.192.306 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.elim_shapecalc [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.192.347 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_elim_shapecalc [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.192.500 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.192.683 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.elim_shapecalc.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.192.731 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.elim_not_effective [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.192.766 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_elim_not_effective [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.193.385 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.elim_not_effective.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.193.448 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.opt_reshape [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.193.482 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_opt_reshape [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.193.792 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.opt_reshape.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.193.872 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.fold_const_symbol [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.193.910 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, symbol_engine_opt_r1_fold_const_symbol [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.194.556 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.fold_const_symbol.unchanged [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.194.626 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start symbol_engine_opt.r1.j0.renormalize [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.194.633 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 84; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 75, 76, 77, 78, 79, 80, 81, 82, 83, 84; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.149.970 2025-07-15-11:45:34.153.961 -> 2025-07-15-11:45:34.154.790 2025-07-15-11:45:34.157.957 -> 2025-07-15-11:45:34.159.015 2025-07-15-11:45:34.164.153 -> 2025-07-15-11:45:34.166.154 2025-07-15-11:45:34.167.234 -> 2025-07-15-11:45:34.168.019 2025-07-15-11:45:34.171.543 -> 2025-07-15-11:45:34.173.955 2025-07-15-11:45:34.175.918 -> 2025-07-15-11:45:34.178.300 2025-07-15-11:45:34.180.691 -> 2025-07-15-11:45:34.181.471 2025-07-15-11:45:34.185.858 -> 2025-07-15-11:45:34.186.816 2025-07-15-11:45:34.190.502 -> 2025-07-15-11:45:34.191.374 2025-07-15-11:45:34.194.383 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.194.664 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End symbol_engine_opt.r1.j0.renormalize.unchanged [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.194.758 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1357] operator()] Pass symbol_engine_optimizer end. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.194.813 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end optimize action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.194.868 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.194.935 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start detach_backward action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.194.971 [mindspore/ccsrc/pipeline/jit/ps/pass.cc:1625] DetachBackward] Only auto_parallel and semi_auto_parallel support detach backward graph. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.195.000 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end detach_backward action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.195.034 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.195.079 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start pipeline_parallel_scheduler action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.195.111 [mindspore/ccsrc/pipeline/jit/ps/pass.cc:1666] PipelineParallelScheduler] Only auto_parallel and semi_auto_parallel support pipeline split. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.195.142 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end pipeline_parallel_scheduler action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.195.179 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.195.141 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 85 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.195.242 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start auto_monad_reorder action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.195.960 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end auto_monad_reorder action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.196.039 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.196.100 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start get_jit_bprop_graph action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.196.135 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end get_jit_bprop_graph action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.196.166 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.196.207 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start rewriter_after_jit_bprop_graph action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.196.251 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end rewriter_after_jit_bprop_graph action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.196.285 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.196.325 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start opt_after_jit_grad action. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.197.577 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.197.757 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.197.922 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_jit_grad.r1.j0.ad_related_special_op_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.197.993 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_after_jit_grad_r1_ad_related_special_op_eliminate [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.198.110 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.198.228 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.198.664 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.198.766 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_jit_grad.r1.j0.ad_related_special_op_eliminate.unchanged [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.198.765 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.198.823 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:233] RunFunc] Start opt_after_jit_grad.r1.j0.mutable_op_eliminate [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.198.827 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAddGrad [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.198.859 [mindspore/ccsrc/frontend/optimizer/opt.cc:415] operator()] IR >> SUB, *, opt_after_jit_grad_r1_mutable_op_eliminate [INFO] OPTIMIZER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.199.171 [mindspore/ccsrc/frontend/optimizer/optimizer.cc:239] RunFunc] End opt_after_jit_grad.r1.j0.mutable_op_eliminate.unchanged [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.199.240 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end opt_after_jit_grad action. [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.199.243 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAddGrad [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.199.289 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAddGrad, kernel type:acl_kernel [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.199.293 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.199.335 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.199.348 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start distribtued_split action. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.199.459 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.199.473 [mindspore/ccsrc/frontend/parallel/graph_util/graph_splitter.cc:389] GenerateStrategy] Current parallel mode is data_parallel [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.199.527 [mindspore/ccsrc/frontend/parallel/graph_util/graph_splitter.cc:401] GenerateStrategy] Generated distributed strategy is 1 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.199.556 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.199.627 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.199.691 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.200.099 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] PARALLEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.200.351 [mindspore/ccsrc/frontend/parallel/graph_util/graph_splitter.cc:1293] Run] All nodes are on this process so there's no need to build and split distributed graph. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.200.433 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end distribtued_split action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.200.477 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.200.536 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start validate action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.201.444 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end validate action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.201.513 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PROFILER(1384462,ffff943eeec0,python):2025-07-15-11:45:34.201.712 [mindspore/ccsrc/plugin/device/ascend/hal/profiler/parallel_strategy_profiling.cc:49] IsProfilingParallelStrategyEnabled] Profiling parallel strategy is disabled. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.202.295 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start backend_pass action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.202.348 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end backend_pass action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.202.416 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.202.493 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start task_emit action. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.202.610 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 85; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 76, 77, 78, 79, 80, 81, 82, 83, 84, 85; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.154.790 2025-07-15-11:45:34.157.957 -> 2025-07-15-11:45:34.159.015 2025-07-15-11:45:34.164.153 -> 2025-07-15-11:45:34.166.154 2025-07-15-11:45:34.167.234 -> 2025-07-15-11:45:34.168.019 2025-07-15-11:45:34.171.543 -> 2025-07-15-11:45:34.173.955 2025-07-15-11:45:34.175.918 -> 2025-07-15-11:45:34.178.300 2025-07-15-11:45:34.180.691 -> 2025-07-15-11:45:34.181.471 2025-07-15-11:45:34.185.858 -> 2025-07-15-11:45:34.186.816 2025-07-15-11:45:34.190.502 -> 2025-07-15-11:45:34.191.374 2025-07-15-11:45:34.194.383 -> 2025-07-15-11:45:34.195.255 2025-07-15-11:45:34.202.344 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.203.437 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1716] SetRunMode] Run graph mode with kernel by kernel by configuration. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.203.585 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1850] TaskEmitAction] Use the new backend. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.203.649 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 86 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.203.724 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1747] Build] Status record: start compile function graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.204.251 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 86; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 77, 78, 79, 80, 81, 82, 83, 84, 85, 86; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.159.015 2025-07-15-11:45:34.164.153 -> 2025-07-15-11:45:34.166.154 2025-07-15-11:45:34.167.234 -> 2025-07-15-11:45:34.168.019 2025-07-15-11:45:34.171.543 -> 2025-07-15-11:45:34.173.955 2025-07-15-11:45:34.175.918 -> 2025-07-15-11:45:34.178.300 2025-07-15-11:45:34.180.691 -> 2025-07-15-11:45:34.181.471 2025-07-15-11:45:34.185.858 -> 2025-07-15-11:45:34.186.816 2025-07-15-11:45:34.190.502 -> 2025-07-15-11:45:34.191.374 2025-07-15-11:45:34.194.383 -> 2025-07-15-11:45:34.195.255 2025-07-15-11:45:34.202.344 -> 2025-07-15-11:45:34.203.745 2025-07-15-11:45:34.204.122 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.204.258 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1764] Build] [PROF]InitCommGroup costs 0.342 msec. [INFO] DISTRIBUTED(1384462,ffff943eeec0,python):2025-07-15-11:45:34.204.428 [mindspore/ccsrc/distributed/collective/collective_manager.cc:1094] WaitAllCommInitDone] All device communictor is initialized. You can launch communication operators after this step. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.204.482 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1768] Build] [PROF]WaitAllCommInit costs 0.131 msec. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.204.694 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 87 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.205.015 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:542] IsEnableControlFlowInline] Disable switch inline, executor mode:1 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.205.112 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:372] DoUnifyMindIRPass] Do unify mindir pass for graph 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.205.182 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_pm_0_erase_invalid_micro_depend in 5.21 us [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.205.383 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:220] EnableKBKCompileCache] Disable backend compile cache by front config. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.206.175 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1791] Build] 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434, is_dynamic_graph: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.206.518 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:620] BuildSymbolEngine] Status record: skip build symbol engine for function graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 [INFO] VM(1384462,ffff943eeec0,python):2025-07-15-11:45:34.206.701 [mindspore/ccsrc/backend/graph_compiler/graph_partition.cc:854] Partition] GraphPartion Info: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434 inline mode:0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.206.396 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.207.200 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.207.546 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 87; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 78, 79, 80, 81, 82, 83, 84, 85, 86, 87; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.166.154 2025-07-15-11:45:34.167.234 -> 2025-07-15-11:45:34.168.019 2025-07-15-11:45:34.171.543 -> 2025-07-15-11:45:34.173.955 2025-07-15-11:45:34.175.918 -> 2025-07-15-11:45:34.178.300 2025-07-15-11:45:34.180.691 -> 2025-07-15-11:45:34.181.471 2025-07-15-11:45:34.185.858 -> 2025-07-15-11:45:34.186.816 2025-07-15-11:45:34.190.502 -> 2025-07-15-11:45:34.191.374 2025-07-15-11:45:34.194.383 -> 2025-07-15-11:45:34.195.255 2025-07-15-11:45:34.202.344 -> 2025-07-15-11:45:34.203.745 2025-07-15-11:45:34.204.122 -> 2025-07-15-11:45:34.204.741 2025-07-15-11:45:34.207.346 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.207.622 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.207.693 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.207.849 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.207.958 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.208.050 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.208.123 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.208.119 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 88 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.208.432 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.208.503 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAddGrad [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.208.707 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:913] CompileGraph] Compile graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434, Split segments size: 2 [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.208.763 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAddGrad [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.208.804 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAddGrad, kernel type:acl_kernel [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.208.848 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.208.856 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:857] CompileGraphFromSegment] Compile normal segment, the first node: @393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:equiv_6_CNode_435{[0]: ValueNode Load, [1]: param_fc3.bias, [2]: ValueNode U} [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.208.961 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.209.054 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.209.124 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.209.207 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.209.505 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.209.805 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:409] CompileGraph] Status record: start compile graph. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.209.855 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.209.967 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2257] ConstructKernelGraph] Set zero copy flag for graph:kernel_graph1 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.210.018 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2260] ConstructKernelGraph] Create graph: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.210.319 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.210.369 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc3.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc3.bias [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.210.688 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc3.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc3.weight [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.210.729 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.210.800 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.210.901 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc2.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc2.bias [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.210.946 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.211.050 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.211.089 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc2.weight [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.211.128 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.211.192 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.211.267 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc1.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc1.bias [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.211.484 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_fc1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_fc1.weight [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.211.490 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.211.556 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAddGrad [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.211.681 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_conv2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_conv2.weight [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.211.809 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAddGrad [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.211.856 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAddGrad, kernel type:acl_kernel [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.211.874 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_conv1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_conv1.weight [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.211.902 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.212.013 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.212.054 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 88; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 79, 80, 81, 82, 83, 84, 85, 86, 87, 88; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.168.019 2025-07-15-11:45:34.171.543 -> 2025-07-15-11:45:34.173.955 2025-07-15-11:45:34.175.918 -> 2025-07-15-11:45:34.178.300 2025-07-15-11:45:34.180.691 -> 2025-07-15-11:45:34.181.471 2025-07-15-11:45:34.185.858 -> 2025-07-15-11:45:34.186.816 2025-07-15-11:45:34.190.502 -> 2025-07-15-11:45:34.191.374 2025-07-15-11:45:34.194.383 -> 2025-07-15-11:45:34.195.255 2025-07-15-11:45:34.202.344 -> 2025-07-15-11:45:34.203.745 2025-07-15-11:45:34.204.122 -> 2025-07-15-11:45:34.204.741 2025-07-15-11:45:34.207.346 -> 2025-07-15-11:45:34.208.171 2025-07-15-11:45:34.211.849 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.212.593 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 89 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.212.109 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.212.183 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.212.256 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.212.631 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.212.703 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.212.853 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.212.906 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPoolGrad [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.213.203 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_global_step by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_global_step [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.213.312 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1156] CreateNewValueNode] Data sync for Tensor Tensor(shape=[1], dtype=Int32, value=[1]) [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.213.804 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1156] CreateNewValueNode] Data sync for Tensor Tensor(shape=[], dtype=Float32, value=0.25) [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.214.102 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc3.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc3.bias [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.214.251 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_learning_rate by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_learning_rate [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.214.392 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_momentum by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_momentum [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.213.350 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPoolGrad [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.213.402 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPoolGrad, kernel type:acl_kernel [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.213.708 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.213.766 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive AssignAdd [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.213.955 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive AssignAdd [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.213.992 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AssignAdd, kernel type:acl_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.214.033 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2DBackpropInput [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.214.566 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2DBackpropInput [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.214.621 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2DBackpropInput, kernel type:acl_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.214.671 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2DBackpropFilter [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.215.018 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc3.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc3.weight [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.215.069 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2DBackpropFilter [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.215.121 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2DBackpropFilter, kernel type:acl_kernel [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.215.166 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.215.308 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.215.411 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.215.543 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc2.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc2.bias [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.215.517 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.215.583 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.215.979 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.216.049 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.216.519 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.216.571 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.216.619 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPoolGrad [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.216.075 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc2.weight [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.216.590 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc1.bias by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc1.bias [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.216.862 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPoolGrad [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.216.904 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPoolGrad, kernel type:acl_kernel [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.217.098 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.fc1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.fc1.weight [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.217.171 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 89; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 80, 81, 82, 83, 84, 85, 86, 87, 88, 89; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.173.955 2025-07-15-11:45:34.175.918 -> 2025-07-15-11:45:34.178.300 2025-07-15-11:45:34.180.691 -> 2025-07-15-11:45:34.181.471 2025-07-15-11:45:34.185.858 -> 2025-07-15-11:45:34.186.816 2025-07-15-11:45:34.190.502 -> 2025-07-15-11:45:34.191.374 2025-07-15-11:45:34.194.383 -> 2025-07-15-11:45:34.195.255 2025-07-15-11:45:34.202.344 -> 2025-07-15-11:45:34.203.745 2025-07-15-11:45:34.204.122 -> 2025-07-15-11:45:34.204.741 2025-07-15-11:45:34.207.346 -> 2025-07-15-11:45:34.208.171 2025-07-15-11:45:34.211.849 -> 2025-07-15-11:45:34.212.644 2025-07-15-11:45:34.216.960 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.217.686 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 90 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.217.957 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.conv2.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.conv2.weight [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.218.591 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1457] GetNewCNodeInputs] Create new parameter:@kernel_graph1:param_moments.conv1.weight by front parameter:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:param_moments.conv1.weight [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.219.037 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:3531] ConstructOutput] Output:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:CNode_436{[0]: ValueNode Depend, [1]: loss, [2]: ValueNode_437} [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.220.140 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.221.138 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:417] CompileGraph] [PROF]ConstructKernelGraph costs 11.198 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.221.264 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:353] RecursiveSetRunMode] Kernel graph: kernel_graph1, set run mode:KernelMode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.221.839 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:188] EliminateIllegalDataTypePass] Start eliminate illegal data type for kernel graph id:1 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.222.182 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_0_convert_list_to_tuple in 214.382 us [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.222.306 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 90; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 81, 82, 83, 84, 85, 86, 87, 88, 89, 90; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.178.300 2025-07-15-11:45:34.180.691 -> 2025-07-15-11:45:34.181.471 2025-07-15-11:45:34.185.858 -> 2025-07-15-11:45:34.186.816 2025-07-15-11:45:34.190.502 -> 2025-07-15-11:45:34.191.374 2025-07-15-11:45:34.194.383 -> 2025-07-15-11:45:34.195.255 2025-07-15-11:45:34.202.344 -> 2025-07-15-11:45:34.203.745 2025-07-15-11:45:34.204.122 -> 2025-07-15-11:45:34.204.741 2025-07-15-11:45:34.207.346 -> 2025-07-15-11:45:34.208.171 2025-07-15-11:45:34.211.849 -> 2025-07-15-11:45:34.212.644 2025-07-15-11:45:34.216.960 -> 2025-07-15-11:45:34.217.739 2025-07-15-11:45:34.222.107 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.222.895 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 91 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.223.465 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_1_eliminate_func_type in 1183.39 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.223.684 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:201] EliminateIllegalDataTypePass] [PROF]EliminateIllegalDataTypePass costs 1.844 msec. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.223.768 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:148] CommonUnifyMindIR] start common unify mindir opt graph:1 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.223.828 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: conv_transpose_to_conv_backprop_input [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.224.722 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_0_conv_transpose_to_conv_backprop_input in 865.547 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.224.792 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: custom_op_reg_info_to_attr [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.224.875 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_1_custom_op_reg_info_to_attr in 79.641 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.224.942 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Custom not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.224.980 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_2_inplace_assign_for_custom_op in 42.46 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.225.020 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_attr_to_unify_mindir [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.217.226 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.217.291 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2DBackpropFilter [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.217.605 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2DBackpropFilter [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.217.649 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2DBackpropFilter, kernel type:acl_kernel [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.217.695 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.217.832 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.217.934 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.218.014 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.218.091 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.218.466 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.218.531 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.218.761 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.218.799 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.218.839 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.008 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.046 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.087 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.250 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.287 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196][INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.226.476 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_3_convert_attr_to_unify_mindir in 1363.08 us GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.328 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.492 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.531 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.573 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.739 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.782 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.822 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.219.991 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.220.030 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.220.406 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.220.466 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384455,ffffae59eec0,python):2025-07-15-11:45:34.220.681 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.220.725 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:34.222.813 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_ack_0_erase_visit_attr in 1945.02 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.226.738 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:161] CommonUnifyMindIR] [PROF]CommonUnifyMindIR costs 2.944 msec. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.226.850 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:78] BackendCommonOptimization] Status record: start common optimization. graph id: 1 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.226.970 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_dynamic_broadcast_to [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.227.697 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 91; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 82, 83, 84, 85, 86, 87, 88, 89, 90, 91; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.181.471 2025-07-15-11:45:34.185.858 -> 2025-07-15-11:45:34.186.816 2025-07-15-11:45:34.190.502 -> 2025-07-15-11:45:34.191.374 2025-07-15-11:45:34.194.383 -> 2025-07-15-11:45:34.195.255 2025-07-15-11:45:34.202.344 -> 2025-07-15-11:45:34.203.745 2025-07-15-11:45:34.204.122 -> 2025-07-15-11:45:34.204.741 2025-07-15-11:45:34.207.346 -> 2025-07-15-11:45:34.208.171 2025-07-15-11:45:34.211.849 -> 2025-07-15-11:45:34.212.644 2025-07-15-11:45:34.216.960 -> 2025-07-15-11:45:34.217.739 2025-07-15-11:45:34.222.107 -> 2025-07-15-11:45:34.222.955 2025-07-15-11:45:34.227.480 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.227.859 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_0_convert_dynamic_broadcast_to in 873.608 us [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.228.214 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 92 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.229.235 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_1_convert_const_input_to_attr in 1263.21 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.230.410 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_2_custom_op_const_input_to_attr in 1058.88 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:34.226.836 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_ack_1_deal_ref_output in 3893.67 us [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:34.227.095 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:79] AclAfterCreateKernel] [PROF]AclAfterCreateKernel costs 6.279 msec. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.227.195 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:151] OptimizeACLGraphAfterCreateKernel] [PROF]OptimizeACLGraphAfterCreateKernel costs 6.413 msec. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.227.799 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.229.304 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1194] OptimizeExecutionOrder] [PROF]OptimizeExecutionOrder costs 2.013 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.229.407 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:631] CompileGraphImpl] [PROF]CreateKernel costs 567.347 msec. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.229.696 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0, output index: 0 to input global_step, output index: 0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.229.922 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:CNode_438{[0]: ValueNode PrimFunc_AssignAdd, [1]: param_global_step, [2]: ValueNode Tensor(shape=[1], dtype=Int32, value=[1]), [3]: CNode_439}, index is 0 new origin node:@kernel_graph1:param_global_step index:0 old origin node:@kernel_graph1:param_global_step index:0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.229.971 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0, output index: 0 to input fc3.bias, output index: 0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.230.166 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.bias, [2]: param_moments.fc3.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_440}, index is 0 new origin node:@kernel_graph1:param_fc3.bias index:0 old origin node:@kernel_graph1:param_fc3.bias index:0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.230.212 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1, output index: 0 to input fc3.weight, output index: 0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.230.453 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.weight, [2]: param_moments.fc3.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_441}, index is 0 new origin node:@kernel_graph1:param_fc3.weight index:0 old origin node:@kernel_graph1:param_fc3.weight index:0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.230.496 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2, output index: 0 to input fc2.bias, output index: 0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.230.690 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.bias, [2]: param_moments.fc2.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_442}, index is 0 new origin node:@kernel_graph1:param_fc2.bias index:0 old origin node:@kernel_graph1:param_fc2.bias index:0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.230.732 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3, output index: 0 to input fc2.weight, output index: 0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.230.927 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.weight, [2]: param_moments.fc2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_443}, index is 0 new origin node:@kernel_graph1:param_fc2.weight index:0 old origin node:@kernel_graph1:param_fc2.weight index:0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.230.973 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4, output index: 0 to input fc1.bias, output index: 0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.231.173 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.bias, [2]: param_moments.fc1.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_444}, index is 0 new origin node:@kernel_graph1:param_fc1.bias index:0 old origin node:@kernel_graph1:param_fc1.bias index:0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.231.227 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5, output index: 0 to input fc1.weight, output index: 0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.231.423 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.weight, [2]: param_moments.fc1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_445}, index is 0 new origin node:@kernel_graph1:param_fc1.weight index:0 old origin node:@kernel_graph1:param_fc1.weight index:0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.231.474 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6, output index: 0 to input conv2.weight, output index: 0 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.231.466 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_3_convert_const_input_to_tensor_input_for_print in 926.018 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.231.698 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv2.weight, [2]: param_moments.conv2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_446}, index is 0 new origin node:@kernel_graph1:param_conv2.weight index:0 old origin node:@kernel_graph1:param_conv2.weight index:0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.231.748 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7, output index: 0 to input conv1.weight, output index: 0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.231.950 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv1.weight, [2]: param_moments.conv1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_447}, index is 0 new origin node:@kernel_graph1:param_conv1.weight index:0 old origin node:@kernel_graph1:param_conv1.weight index:0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.232.425 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Default/Reshape-op0, index: 0 to input Default/GetNext-op0, index: 1 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.232.515 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Flatten-op0, index: 0 to input Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op1, index: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.232.576 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0, index: 0 to input Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/BiasAdd-op0, index: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.232.645 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0, index: 0 to input Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Mul-op0, index: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.232.703 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0, index: 0 to input Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op2, index: 0 [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.232.760 [mindspore/ccsrc/backend/common/session/session_basic.cc:1079] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 1 start [INFO] DEBUG(1384455,ffffae59eec0,python):2025-07-15-11:45:34.232.803 [mindspore/ccsrc/debug/summary/summary.cc:55] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 1 start [INFO] DEBUG(1384455,ffffae59eec0,python):2025-07-15-11:45:34.232.864 [mindspore/ccsrc/debug/summary/summary.cc:60] RecurseSetSummaryNodesForAllGraphs] This function should be skipped on GE backend. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.233.116 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 92; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 83, 84, 85, 86, 87, 88, 89, 90, 91, 92; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.186.816 2025-07-15-11:45:34.190.502 -> 2025-07-15-11:45:34.191.374 2025-07-15-11:45:34.194.383 -> 2025-07-15-11:45:34.195.255 2025-07-15-11:45:34.202.344 -> 2025-07-15-11:45:34.203.745 2025-07-15-11:45:34.204.122 -> 2025-07-15-11:45:34.204.741 2025-07-15-11:45:34.207.346 -> 2025-07-15-11:45:34.208.171 2025-07-15-11:45:34.211.849 -> 2025-07-15-11:45:34.212.644 2025-07-15-11:45:34.216.960 -> 2025-07-15-11:45:34.217.739 2025-07-15-11:45:34.222.107 -> 2025-07-15-11:45:34.222.955 2025-07-15-11:45:34.227.480 -> 2025-07-15-11:45:34.228.266 2025-07-15-11:45:34.232.898 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.233.362 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1216] ResetNodeIds] Start reset node id [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.233.653 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 93 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.233.782 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1236] ResetNodeIds] End reset node id [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.233.868 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.233.978 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.032 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1138] DoStreamAssign] Status record: start stream assign, kernel_graph1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.116 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/GetNext-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.200 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/Reshape-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.294 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/OneHot-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.357 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Conv2D-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.418 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Conv2D-op0, because group value is 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.498 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op0 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.234.473 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_4_convert_tuple_output_to_maketuple in 2871.16 us [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.553 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.606 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Conv2D-op0 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.234.601 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_5_convert_unused_tuple_para_to_make_tuple in 32.171 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.234.646 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_6_flatten_concat_fission is enabled. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.651 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Conv2D-op0, because group value is 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.717 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.772 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.821 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Flatten-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.890 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/MatMul-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.234.949 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/BiasAdd-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.003 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op2 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.062 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/MatMul-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.114 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/BiasAdd-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.169 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op3 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.227 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/MatMul-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.285 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/BiasAdd-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.344 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.424 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.494 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Mul-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.581 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.235.644 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_6_flatten_concat_fission in 933.329 us [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.650 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.724 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.791 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op3 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.235.846 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op2 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.236.619 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_7_inset_input_structural_for_py_execute in 868.298 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.236.700 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_8_broadcast_to_fusion is enabled. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.237.415 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:105] RegCallback] Register callback thread, stream : 0x318c1b30. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.237.628 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_8_broadcast_to_fusion in 849.838 us [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.237.877 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:125] RegCallback] Register callback thread success, stream : 0x318c1b30. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.237.982 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op2, group: hccl_world_group [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.114 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.176 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.246 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op1, group: hccl_world_group [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.294 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op2 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.351 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.405 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.514 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op4 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.577 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op4 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.632 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op4, group: hccl_world_group [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.683 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.743 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.791 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op3 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.846 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op3, group: hccl_world_group [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.897 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op4 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.238.951 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.006 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op2 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.238.999 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_9_add_attr_to_node in 1278.23 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.239.071 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_10_replace_addn is enabled. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.095 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op5 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.152 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op6 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.205 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op6, group: hccl_world_group [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.258 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op3 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.332 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op2 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.387 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op5 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.435 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op5, group: hccl_world_group [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.482 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op6 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.540 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.621 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.690 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op2 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.742 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.803 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropInput-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.857 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropInput-op0, because group value is 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.921 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.239.966 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0, because group value is 1 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.239.938 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 93; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 84, 85, 86, 87, 88, 89, 90, 91, 92, 93; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.191.374 2025-07-15-11:45:34.194.383 -> 2025-07-15-11:45:34.195.255 2025-07-15-11:45:34.202.344 -> 2025-07-15-11:45:34.203.745 2025-07-15-11:45:34.204.122 -> 2025-07-15-11:45:34.204.741 2025-07-15-11:45:34.207.346 -> 2025-07-15-11:45:34.208.171 2025-07-15-11:45:34.211.849 -> 2025-07-15-11:45:34.212.644 2025-07-15-11:45:34.216.960 -> 2025-07-15-11:45:34.217.739 2025-07-15-11:45:34.222.107 -> 2025-07-15-11:45:34.222.955 2025-07-15-11:45:34.227.480 -> 2025-07-15-11:45:34.228.266 2025-07-15-11:45:34.232.898 -> 2025-07-15-11:45:34.233.703 2025-07-15-11:45:34.239.735 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.239.985 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_10_replace_addn in 850.007 us [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.017 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op7 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.090 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op7, group: hccl_world_group [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.147 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op5 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.240.256 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:90] BackendCommonOptimization] [PROF]BackendCommonOptimization costs 13.38 msec. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.204 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.270 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op1 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.240.303 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:97] BackendCommonOptimization] Status record: end common optimization. graph id: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.325 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op3 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.397 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.240.465 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:255] OptimizationWithoutBackend] [PROF]OptimizationWithoutBackend costs 18.64 msec. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.450 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0, because group value is 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.503 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op0 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.240.463 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 94 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.553 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op0, group: hccl_world_group [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.605 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op7 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.662 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.719 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.772 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.830 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.240.869 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.902 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.240.956 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.241.005 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op0 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.241.006 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.241.061 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.242.666 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_0_renorm_split in 1004.49 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.242.767 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: reduce_axis_update [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.015 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1154] DoStreamAssign] Status record: end stream assign, kernel_graph1 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.143 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.255 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.371 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.433 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:8 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.486 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.573 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.638 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.688 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 8, record_stream_id_ : 0. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.778 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.868 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.244.936 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.003 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:9 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.053 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.139 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.203 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.252 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 9, record_stream_id_ : 0. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.299 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.245.241 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_1_reduce_axis_update in 2441.94 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.245.315 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: space_to_batch_nd_attr_update [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.377 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.245.433 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_2_space_to_batch_nd_attr_update in 116.391 us [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.430 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.471 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:0 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.245.476 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: batch_to_space_nd_attr_update [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.511 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.245.545 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_3_batch_to_space_nd_attr_update in 64.97 us [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.593 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.651 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.694 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:10 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.245.595 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AdamWeightDecay not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.245.633 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_4_adam_weight_decay_unify_mindir in 42.581 us [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.738 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.822 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.245.894 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_5_add_depend_for_adamw in 212.012 us [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.879 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.926 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 10, record_stream_id_ : 0. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.245.990 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.246.009 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:403] Run] Skip pass fail, run pass: grad_sparse_softmax_cross_entropy_with_logits_unify_mindir [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.076 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.138 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.185 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:1 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.234 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.316 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.377 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.462 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 0, record_stream_id_ : 2. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.528 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.620 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.685 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.734 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:11 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.777 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.864 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.925 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.246.973 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 11, record_stream_id_ : 0. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.246.722 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 94; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 85, 86, 87, 88, 89, 90, 91, 92, 93, 94; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.195.255 2025-07-15-11:45:34.202.344 -> 2025-07-15-11:45:34.203.745 2025-07-15-11:45:34.204.122 -> 2025-07-15-11:45:34.204.741 2025-07-15-11:45:34.207.346 -> 2025-07-15-11:45:34.208.171 2025-07-15-11:45:34.211.849 -> 2025-07-15-11:45:34.212.644 2025-07-15-11:45:34.216.960 -> 2025-07-15-11:45:34.217.739 2025-07-15-11:45:34.222.107 -> 2025-07-15-11:45:34.222.955 2025-07-15-11:45:34.227.480 -> 2025-07-15-11:45:34.228.266 2025-07-15-11:45:34.232.898 -> 2025-07-15-11:45:34.233.703 2025-07-15-11:45:34.239.735 -> 2025-07-15-11:45:34.240.539 2025-07-15-11:45:34.246.488 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.044 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.128 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.189 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.231 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:2 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.275 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.247.226 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_6_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir in 1253.76 us [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.247.268 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 95 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.355 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.409 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.453 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 1, record_stream_id_ : 2. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.501 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.582 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.637 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.680 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:12 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.727 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.813 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.878 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.927 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 12, record_stream_id_ : 0. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.247.975 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.081 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.146 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.195 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:3 [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.248.036 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 95; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 86, 87, 88, 89, 90, 91, 92, 93, 94, 95; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.203.745 2025-07-15-11:45:34.204.122 -> 2025-07-15-11:45:34.204.741 2025-07-15-11:45:34.207.346 -> 2025-07-15-11:45:34.208.171 2025-07-15-11:45:34.211.849 -> 2025-07-15-11:45:34.212.644 2025-07-15-11:45:34.216.960 -> 2025-07-15-11:45:34.217.739 2025-07-15-11:45:34.222.107 -> 2025-07-15-11:45:34.222.955 2025-07-15-11:45:34.227.480 -> 2025-07-15-11:45:34.228.266 2025-07-15-11:45:34.232.898 -> 2025-07-15-11:45:34.233.703 2025-07-15-11:45:34.239.735 -> 2025-07-15-11:45:34.240.539 2025-07-15-11:45:34.246.488 -> 2025-07-15-11:45:34.247.316 2025-07-15-11:45:34.247.903 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.239 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.323 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.384 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.433 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 2, record_stream_id_ : 2. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.489 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.248.453 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 96 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.575 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.636 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.684 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:13 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.733 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.821 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.879 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.927 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 13, record_stream_id_ : 0. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.248.974 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.082 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.148 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.197 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:4 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.242 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.329 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.392 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.440 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 3, record_stream_id_ : 2. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.490 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.575 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.635 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.678 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:14 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.729 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.813 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.249.823 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_7_grad_sparse_softmax_cross_entropy_with_logits_unify_mindir_v2 in 2478.23 us [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.869 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.916 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 14, record_stream_id_ : 0. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.249.961 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.042 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.118 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.161 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:5 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.206 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.288 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.348 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.397 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 4, record_stream_id_ : 2. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.477 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.571 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.633 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.681 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:15 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.727 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.808 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.868 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.915 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 15, record_stream_id_ : 0. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.250.963 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.250.905 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_8_sparse_softmax_cross_entropy_with_logits_unify_mindir in 972.778 us [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.043 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.121 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.169 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:6 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.214 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.297 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.358 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.398 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 5, record_stream_id_ : 2. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.449 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.251.351 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 96; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 87, 88, 89, 90, 91, 92, 93, 94, 95, 96; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.204.741 2025-07-15-11:45:34.207.346 -> 2025-07-15-11:45:34.208.171 2025-07-15-11:45:34.211.849 -> 2025-07-15-11:45:34.212.644 2025-07-15-11:45:34.216.960 -> 2025-07-15-11:45:34.217.739 2025-07-15-11:45:34.222.107 -> 2025-07-15-11:45:34.222.955 2025-07-15-11:45:34.227.480 -> 2025-07-15-11:45:34.228.266 2025-07-15-11:45:34.232.898 -> 2025-07-15-11:45:34.233.703 2025-07-15-11:45:34.239.735 -> 2025-07-15-11:45:34.240.539 2025-07-15-11:45:34.246.488 -> 2025-07-15-11:45:34.247.316 2025-07-15-11:45:34.247.903 -> 2025-07-15-11:45:34.248.500 2025-07-15-11:45:34.251.154 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.534 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.595 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.635 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:16 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.680 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.770 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.832 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.878 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 16, record_stream_id_ : 0. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.251.863 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 97 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.251.928 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.251.977 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_9_dropout_ext_unify_mindir1 in 972.349 us [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.012 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.091 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.135 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:7 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.179 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.263 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.317 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.363 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 6, record_stream_id_ : 2. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.425 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.511 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.574 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.619 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 7, record_stream_id_ : 2. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.672 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.755 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.816 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.869 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:17 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.252.918 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.252.930 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_10_dropoutgrad_ext_unify_mindir in 858.657 us [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.253.004 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.253.083 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.253.129 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 17, record_stream_id_ : 2. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.253.189 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:948] PrintGraphExecuteOrder] Graph 1 execution order: [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.253.314 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[0], node name[Default/StreamSend-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_448{[0]: ValueNode StreamSend}], event id[8] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.253.397 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[1], node name[Default/StreamRecv-op0], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_449{[0]: ValueNode StreamRecv}], event id[8] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.253.494 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[2], node name[Default/GetNext-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:outputs{[0]: ValueNode GetNext}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.253.640 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[3], node name[Default/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_450{[0]: ValueNode PrimFunc_Reshape, [1]: CNode_451, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[32])}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.253.834 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[4], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/OneHot-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_452{[0]: ValueNode PrimFunc_OneHot, [1]: CNode_450, [2]: ValueNode Tensor(shape=[], dtype=Int64, value=10), [3]: ValueNode Tensor(shape=[], dtype=Float32, value=1), [4]: ValueNode Tensor(shape=[], dtype=Float32, value=0), [5]: ValueNode -1}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.253.938 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_11_dropout_unify_mindir1 in 921.318 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.253.982 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[5], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Conv2D-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_15_output{[0]: ValueNode Conv2D, [1]: CNode_453, [2]: equiv_16_CNode_454}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.254.008 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: dropoutgrad_unify_mindir [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.254.094 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[6], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_20_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_15_output}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.254.193 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[7], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_24_out{[0]: ValueNode MaxPool, [1]: equiv_20_CNode_455}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.254.308 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[8], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Conv2D-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_10_output{[0]: ValueNode Conv2D, [1]: equiv_24_out, [2]: equiv_11_CNode_456}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.254.443 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[9], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_17_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_10_output}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.254.562 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[10], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_23_out{[0]: ValueNode MaxPool, [1]: equiv_17_CNode_455}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.254.671 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[11], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Flatten-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_25_CNode_457{[0]: ValueNode PrimFunc_Flatten, [1]: equiv_23_out}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.254.817 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[12], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_12_x{[0]: ValueNode PrimFunc_MatMul, [1]: equiv_25_CNode_457, [2]: equiv_13_CNode_458, [3]: ValueNode false, [4]: ValueNode true}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.254.948 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[13], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/BiasAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_21_x{[0]: ValueNode PrimFunc_BiasAdd, [1]: equiv_12_x, [2]: equiv_22_CNode_459, [3]: ValueNode 0}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.255.044 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[14], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_14_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_21_x}] [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.254.811 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 97; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 88, 89, 90, 91, 92, 93, 94, 95, 96, 97; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.208.171 2025-07-15-11:45:34.211.849 -> 2025-07-15-11:45:34.212.644 2025-07-15-11:45:34.216.960 -> 2025-07-15-11:45:34.217.739 2025-07-15-11:45:34.222.107 -> 2025-07-15-11:45:34.222.955 2025-07-15-11:45:34.227.480 -> 2025-07-15-11:45:34.228.266 2025-07-15-11:45:34.232.898 -> 2025-07-15-11:45:34.233.703 2025-07-15-11:45:34.239.735 -> 2025-07-15-11:45:34.240.539 2025-07-15-11:45:34.246.488 -> 2025-07-15-11:45:34.247.316 2025-07-15-11:45:34.247.903 -> 2025-07-15-11:45:34.248.500 2025-07-15-11:45:34.251.154 -> 2025-07-15-11:45:34.251.910 2025-07-15-11:45:34.254.589 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.254.921 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_12_dropoutgrad_unify_mindir in 898.648 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.254.985 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchange not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.024 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_13_neighbor_exchange_unify_mindir in 42.981 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.057 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2 not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.091 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_14_neighbor_exchange_v2_unify_mindir in 30.88 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.255.173 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[15], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_7_x{[0]: ValueNode PrimFunc_MatMul, [1]: equiv_14_CNode_455, [2]: equiv_8_CNode_460, [3]: ValueNode false, [4]: ValueNode true}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.255.303 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[16], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/BiasAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_18_x{[0]: ValueNode PrimFunc_BiasAdd, [1]: equiv_7_x, [2]: equiv_19_CNode_461, [3]: ValueNode 0}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.152 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim NeighborExchangeV2Grad not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.192 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_15_neighbor_exchange_v2_grad_unify_mindir in 36.44 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.274 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAll not exist in name to cnode [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.255.293 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 98 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.311 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_16_all_to_all_unify_mindir in 82.011 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.353 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim AlltoAllV not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.387 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_17_all_to_all_v_unify_mindir in 30.81 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.255.401 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[17], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_9_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_18_x}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.486 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.529 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_18_bn_split in 97.841 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.255.554 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[18], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_3_x{[0]: ValueNode PrimFunc_MatMul, [1]: equiv_9_CNode_455, [2]: equiv_4_CNode_462, [3]: ValueNode false, [4]: ValueNode true}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.570 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: bn_grad_unify_mindir [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.255.686 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[19], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/BiasAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_5_x{[0]: ValueNode PrimFunc_BiasAdd, [1]: equiv_3_x, [2]: equiv_6_CNode_435, [3]: ValueNode 0}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.741 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_19_bn_grad_unify_mindir in 159.832 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.789 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.828 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_20_bn_grad_split in 39.271 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.255.830 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[20], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_463{[0]: ValueNode PrimFunc_Reshape, [1]: equiv_5_x, [2]: ValueNode Tensor(shape=[2], dtype=Int64, value=[32 10])}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.912 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.255.943 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[21], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_464{[0]: ValueNode SoftmaxCrossEntropyWithLogits, [1]: CNode_463, [2]: CNode_452}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.255.955 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_21_batchnormgrad_to_bninfergrad in 84.451 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.256.022 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNormGrad not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.256.061 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_22_batch_norm_grad_infer_fission in 64.821 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.256.057 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[22], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Mul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_465{[0]: ValueNode PrimFunc_Mul, [1]: CNode_466, [2]: ValueNode Tensor(shape=[32, 1], dtype=Float32, value=[...])}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.256.104 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim BatchNorm not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.256.145 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_23_batchnorm_to_bninfer in 39.59 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.256.183 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[23], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_467{[0]: ValueNode PrimFunc_Reshape, [1]: CNode_465, [2]: ValueNode Tensor(shape=[2], dtype=Int64, value=[32 10])}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.256.216 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Print not exist in name to cnode [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.256.260 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_24_print_insert_placeholder_for_tensor_name in 67.19 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.256.316 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[24], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_468{[0]: ValueNode PrimFunc_ReduceMean, [1]: CNode_469, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[0]), [3]: ValueNode false}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.256.356 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:403] Run] Skip pass fail, run pass: getnext_for_ge [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.256.451 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[25], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_470{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_467, [2]: equiv_4_CNode_462, [3]: ValueNode false, [4]: ValueNode false}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.256.605 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[26], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_471{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_467, [2]: equiv_9_CNode_455, [3]: ValueNode true, [4]: ValueNode false}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.256.710 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[27], node name[Default/StreamSend-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_472{[0]: ValueNode StreamSend}], event id[9] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.256.796 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[28], node name[Default/StreamRecv-op1], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_473{[0]: ValueNode StreamRecv}], event id[9] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.256.914 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[29], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op2], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_471}], group[hccl_world_group] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.256.999 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[30], node name[Default/StreamSend-op2], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_474{[0]: ValueNode StreamSend}], event id[0] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.257.105 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[31], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_475{[0]: ValueNode PrimFunc_BiasAddGrad, [1]: CNode_467, [2]: ValueNode 0}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.257.187 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[32], node name[Default/StreamSend-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_476{[0]: ValueNode StreamSend}], event id[10] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.257.263 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[33], node name[Default/StreamRecv-op2], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_477{[0]: ValueNode StreamRecv}], event id[10] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.257.367 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[34], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op1], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_475}], group[hccl_world_group] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.257.450 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[35], node name[Default/StreamSend-op4], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_478{[0]: ValueNode StreamSend}], event id[1] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.257.528 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[36], node name[Default/StreamRecv-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_479{[0]: ValueNode StreamRecv}], event id[0] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.257.577 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_25_getnext_for_ge in 1218.48 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.257.685 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[37], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.257.812 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[38], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_480{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_470, [2]: equiv_9_CNode_455}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.257.943 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[39], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_481{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_480, [2]: equiv_8_CNode_460, [3]: ValueNode false, [4]: ValueNode false}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.258.073 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[40], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op4], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_482{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_480, [2]: equiv_14_CNode_455, [3]: ValueNode true, [4]: ValueNode false}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.258.161 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[41], node name[Default/StreamSend-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_483{[0]: ValueNode StreamSend}], event id[11] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.258.243 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[42], node name[Default/StreamRecv-op4], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_484{[0]: ValueNode StreamRecv}], event id[11] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.258.350 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[43], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op4], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_482}], group[hccl_world_group] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.258.453 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[44], node name[Default/StreamSend-op6], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_485{[0]: ValueNode StreamSend}], event id[2] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.258.537 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[45], node name[Default/StreamRecv-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_486{[0]: ValueNode StreamRecv}], event id[1] [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.258.550 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 98; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 89, 90, 91, 92, 93, 94, 95, 96, 97, 98; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.212.644 2025-07-15-11:45:34.216.960 -> 2025-07-15-11:45:34.217.739 2025-07-15-11:45:34.222.107 -> 2025-07-15-11:45:34.222.955 2025-07-15-11:45:34.227.480 -> 2025-07-15-11:45:34.228.266 2025-07-15-11:45:34.232.898 -> 2025-07-15-11:45:34.233.703 2025-07-15-11:45:34.239.735 -> 2025-07-15-11:45:34.240.539 2025-07-15-11:45:34.246.488 -> 2025-07-15-11:45:34.247.316 2025-07-15-11:45:34.247.903 -> 2025-07-15-11:45:34.248.500 2025-07-15-11:45:34.251.154 -> 2025-07-15-11:45:34.251.910 2025-07-15-11:45:34.254.589 -> 2025-07-15-11:45:34.255.336 2025-07-15-11:45:34.258.339 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.258.564 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_26_sync_bn_split in 894.608 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.258.672 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[46], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.258.793 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[47], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_487{[0]: ValueNode PrimFunc_BiasAddGrad, [1]: CNode_480, [2]: ValueNode 0}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.258.877 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[48], node name[Default/StreamSend-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_488{[0]: ValueNode StreamSend}], event id[12] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.258.954 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[49], node name[Default/StreamRecv-op6], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_489{[0]: ValueNode StreamRecv}], event id[12] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.259.056 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[50], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op3], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_487}], group[hccl_world_group] [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.259.092 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 99 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.259.141 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[51], node name[Default/StreamSend-op8], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_490{[0]: ValueNode StreamSend}], event id[3] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.259.220 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[52], node name[Default/StreamRecv-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_491{[0]: ValueNode StreamRecv}], event id[2] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.259.353 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[53], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op4], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.259.487 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[54], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_492{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_481, [2]: equiv_14_CNode_455}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.259.581 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_27_sync_bn_grad_split in 874.988 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.259.619 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[55], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_493{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_492, [2]: equiv_13_CNode_458, [3]: ValueNode false, [4]: ValueNode false}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.259.753 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[56], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_494{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_492, [2]: equiv_25_CNode_457, [3]: ValueNode true, [4]: ValueNode false}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.259.855 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[57], node name[Default/StreamSend-op9], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_495{[0]: ValueNode StreamSend}], event id[13] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.259.939 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[58], node name[Default/StreamRecv-op8], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_496{[0]: ValueNode StreamRecv}], event id[13] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.260.049 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[59], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op6], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_494}], group[hccl_world_group] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.260.131 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[60], node name[Default/StreamSend-op10], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_497{[0]: ValueNode StreamSend}], event id[4] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.260.212 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[61], node name[Default/StreamRecv-op9], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_498{[0]: ValueNode StreamRecv}], event id[3] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.260.350 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[62], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.260.470 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[63], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_499{[0]: ValueNode PrimFunc_BiasAddGrad, [1]: CNode_492, [2]: ValueNode 0}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.260.529 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_28_avg_pool_grad_for_ge in 859.057 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.260.556 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[64], node name[Default/StreamSend-op11], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_500{[0]: ValueNode StreamSend}], event id[14] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.260.633 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[65], node name[Default/StreamRecv-op10], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_501{[0]: ValueNode StreamRecv}], event id[14] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.260.739 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[66], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op5], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_499}], group[hccl_world_group] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.260.814 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[67], node name[Default/StreamSend-op12], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_502{[0]: ValueNode StreamSend}], event id[5] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.260.906 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[68], node name[Default/StreamRecv-op11], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_503{[0]: ValueNode StreamRecv}], event id[4] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.261.036 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[69], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op6], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.261.157 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[70], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_504{[0]: ValueNode PrimFunc_Reshape, [1]: CNode_493, [2]: ValueNode (32, 16, 5, 5)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.261.303 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[71], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_505{[0]: ValueNode MaxPoolGrad, [1]: equiv_17_CNode_455, [2]: equiv_23_out, [3]: CNode_504}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.261.435 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[72], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_506{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_505, [2]: equiv_17_CNode_455}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.261.585 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[73], node name[Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_438{[0]: ValueNode PrimFunc_AssignAdd, [1]: param_global_step, [2]: ValueNode Tensor(shape=[1], dtype=Int32, value=[1]), [3]: CNode_439}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.261.725 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[74], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropInput-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_507{[0]: ValueNode Conv2DBackpropInput, [1]: CNode_506, [2]: equiv_11_CNode_456, [3]: ValueNode (32, 6, 14, 14)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.261.868 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[75], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_508{[0]: ValueNode Conv2DBackpropFilter, [1]: CNode_506, [2]: equiv_24_out, [3]: ValueNode (16, 6, 5, 5)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.261.962 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[76], node name[Default/StreamSend-op13], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_509{[0]: ValueNode StreamSend}], event id[15] [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.261.864 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 99; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0; device_queue: 90, 91, 92, 93, 94, 95, 96, 97, 98, 99; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.217.739 2025-07-15-11:45:34.222.107 -> 2025-07-15-11:45:34.222.955 2025-07-15-11:45:34.227.480 -> 2025-07-15-11:45:34.228.266 2025-07-15-11:45:34.232.898 -> 2025-07-15-11:45:34.233.703 2025-07-15-11:45:34.239.735 -> 2025-07-15-11:45:34.240.539 2025-07-15-11:45:34.246.488 -> 2025-07-15-11:45:34.247.316 2025-07-15-11:45:34.247.903 -> 2025-07-15-11:45:34.248.500 2025-07-15-11:45:34.251.154 -> 2025-07-15-11:45:34.251.910 2025-07-15-11:45:34.254.589 -> 2025-07-15-11:45:34.255.336 2025-07-15-11:45:34.258.339 -> 2025-07-15-11:45:34.259.142 2025-07-15-11:45:34.261.677 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.262.064 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[77], node name[Default/StreamRecv-op12], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_510{[0]: ValueNode StreamRecv}], event id[15] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.262.179 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[78], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op7], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_508}], group[hccl_world_group] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.262.258 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[79], node name[Default/StreamSend-op14], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_511{[0]: ValueNode StreamSend}], event id[6] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.262.280 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_29_add_attr_to_dump in 1652.05 us [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.262.331 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[80], node name[Default/StreamRecv-op13], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_512{[0]: ValueNode StreamRecv}], event id[5] [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:34.262.329 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 100 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.262.480 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[81], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.262.660 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[82], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.bias, [2]: param_moments.fc3.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_440}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.262.810 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[83], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_513{[0]: ValueNode MaxPoolGrad, [1]: equiv_20_CNode_455, [2]: equiv_24_out, [3]: CNode_507}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.262.930 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[84], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_514{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_513, [2]: equiv_20_CNode_455}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.263.056 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[85], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_515{[0]: ValueNode Conv2DBackpropFilter, [1]: CNode_514, [2]: CNode_453, [3]: ValueNode (6, 1, 5, 5)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.263.144 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[86], node name[Default/StreamSend-op15], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_516{[0]: ValueNode StreamSend}], event id[16] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.263.238 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[87], node name[Default/StreamRecv-op14], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_517{[0]: ValueNode StreamRecv}], event id[16] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.263.346 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[88], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op0], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_515}], group[hccl_world_group] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.263.425 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[89], node name[Default/StreamSend-op16], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_518{[0]: ValueNode StreamSend}], event id[7] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.263.500 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[90], node name[Default/StreamRecv-op15], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_519{[0]: ValueNode StreamRecv}], event id[6] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.263.635 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[91], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.263.812 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[92], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.weight, [2]: param_moments.fc3.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_441}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.263.995 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[93], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.bias, [2]: param_moments.fc2.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_442}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.264.176 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[94], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.weight, [2]: param_moments.fc2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_443}] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.264.202 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_30_ascend_mindir_op_adapter in 1817.97 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.264.281 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission is enabled. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.264.345 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[95], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.bias, [2]: param_moments.fc1.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_444}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.264.507 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[96], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.weight, [2]: param_moments.fc1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_445}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.264.695 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[97], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv2.weight, [2]: param_moments.conv2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_446}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.264.785 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[98], node name[Default/StreamRecv-op16], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_520{[0]: ValueNode StreamRecv}], event id[7] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.264.915 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[99], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.265.091 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[100], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv1.weight, [2]: param_moments.conv1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_447}] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.265.182 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[101], node name[Default/StreamSend-op17], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_521{[0]: ValueNode StreamSend}], event id[17] [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.265.260 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[102], node name[Default/StreamRecv-op17], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_522{[0]: ValueNode StreamRecv}], event id[17] [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.265.314 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_0_clip_by_norm_fission in 963.958 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.265.377 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_1_cdist_fission is enabled. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.265.395 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:676] CompileGraphImpl] [PROF]PreprocessBeforeRun costs 32.456 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.265.552 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:722] CreateDeviceAddress] Status record: start create device address. graph id: 1 [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.267.430 [mindspore/ccsrc/runtime/device/device_address_utils.cc:498] CreateValueNodeDeviceAddress] No device address for value node:Default/data-0, debug name:ValueNode U [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.266.378 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_1_cdist_fission in 923.208 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.266.479 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_2_cdist_grad_fission is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.267.453 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_2_cdist_grad_fission in 904.398 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.267.507 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion is enabled. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.267.640 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.267.753 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.267.806 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_3_batchmatmul_reducescatter_alltoall_fusion in 258.492 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.267.838 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion is enabled. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.267.914 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.267.995 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.268.040 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_4_alltoall_allgather_batch_matmul_fusion in 167.071 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.268.078 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_5_lamb_fission_ge is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.269.122 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_5_lamb_fission_ge in 947.308 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.269.191 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.270.162 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_6_adaptive_max_pool2d_ge_fusion in 888.908 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.270.227 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.271.971 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_7_matmul_reduce_scatter_fusion in 1635.92 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.272.064 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.273.952 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_8_allgather_matmul_fusion in 1787.01 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.274.040 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.274.098 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:270] DefineFlashAttentionPattern] Do FlashAttentionPattern V1. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.274.486 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:729] CreateDeviceAddress] Status record: end create device address. graph id: 1 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.274.589 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:684] CompileGraphImpl] [PROF]CreateDeviceAddress costs 9.014 msec. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.275.421 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1194] CacheGraphOutputToFrontNodeWithIndex] Get graph backend output nodes. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.275.553 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1202] CacheGraphOutputToFrontNodeWithIndex] Get graph front output nodes. [INFO] SESSION(1384455,ffffae59eec0,python):2025-07-15-11:45:34.275.932 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1220] CacheGraphOutputToFrontNodeWithIndex] Backend output: Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0 debug string: @kernel_graph1:CNode_468{[0]: ValueNode PrimFunc_ReduceMean, [1]: CNode_469, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[0]), [3]: ValueNode false} node ptr:0x2f636940 with index: 0 map to front node: Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits-op0 debug string: @393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:equiv_2_x{[0]: ValueNode SparseSoftmaxCrossEntropyWithLogits, [1]: equiv_5_x, [2]: ValueNode_523} node ptr: 0x2f4eacb0 with index: 0 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.276.004 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_9_FlashAttentionFusionV1 in 1883.52 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.276.080 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.276.133 [mindspore/ccsrc/backend/common/pass/ir_fusion/flash_attention_fusion.cc:384] DefineFlashAttentionPattern] Do FlashAttentionPattern V2. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.276.228 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:487] CompileGraph] Status record: end compile graph. graph id: 1 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.277.252 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:884] CompileGraphFromSegment] Compile cut segment, the cut node: @393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:ValueNode_524{[0]: ValueNode Return, [1]: CNode_436} [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.277.382 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1795] Build] [PROF]CompileSubGraph costs 807.983 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.277.441 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:249] ExportCompileCacheKBK] Compile cache: disable by front compile cache config. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.277.726 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1809] Build] Status record: construct the graph compiler info. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.277.810 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:957] Transform] Graph(kernel_graph_1) transforms actor begin, strategy:pipeline [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.277.959 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_10_FlashAttentionFusionV2 in 1802.56 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.278.025 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion is enabled. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.278.570 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:490] InitGraphParameterStore] Init graph parameter store: kernel_graph_1, outer size: 19 [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.278.782 [mindspore/ccsrc/kernel/kernel_info.cc:126] OutputAddrExist] Index [0] has no kernel tensor. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.278.848 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:3778] PersistDeviceTensorForValueNode] The device address is not exist: ValueNode_525(U) [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.279.592 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:471] TryEnableKbkSubGraphExecMode] Enable kbk subgraph execute mode for actor set: kernel_graph_1, phase: train.1752551131662057984.281470728895120.0. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.279.810 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_11_quantbatchmatmul_reduce_fusion in 1703.97 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.279.884 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_12_MatMulAllReduce is enabled. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.279.930 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:391] TryEnableInputOptimize] Enable input optimize for actor set: kernel_graph_1, phase: train.1752551131662057984.281470728895120.0. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.280.015 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2317] BuildDataPrepareActorForGraphParameterStore] Create data prepare actor: kernel_graph_1_DataPrepareActor [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.280.101 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.280.212 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.280.279 [mindspore/ccsrc/runtime/graph_scheduler/actor/super_kernel_actor.cc:2024] SuperKernelActor] The kernel graph: kernel_graph1 phase: train.1752551131662057984.281470728895120.0., enable parallel dispatch kernel: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.280.376 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2273] BuildLoopCountActor] Create loop count actor: kernel_graph_1_LoopCountActor [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.280.425 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2306] BuildOutputActor] Create output actor: kernel_graph_1_OutputActor [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.280.953 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.281.081 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.281.315 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.281.410 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.281.581 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.281.669 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.280.730 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1688] CacheGraphOutputToActor] Cache graph 1 output node:Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0 debug string:@kernel_graph1:CNode_468{[0]: ValueNode PrimFunc_ReduceMean, [1]: CNode_469, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[0]), [3]: ValueNode false} with index:0 to actor:kernel_graph1_SuperKernelActor, from front node:Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits-op0 debug string:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:equiv_2_x{[0]: ValueNode SparseSoftmaxCrossEntropyWithLogits, [1]: equiv_5_x, [2]: ValueNode_523} with index:0 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.281.432 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.281.541 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.079 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0 add input node monad device tensor store:global_step [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.148 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0 add input node monad device tensor store:Default/network-TrainOneStepCell/optimizer-Momentum/data-0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.225 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:fc3.bias [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.267 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:moments.fc3.bias [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.324 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.369 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:momentum [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.483 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_12_MatMulAllReduce in 2508.29 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.546 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_13_grouped_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.580 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_14_matmul_assignadd_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.609 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_15_MatMulAllReduceAddRmsNorm is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.638 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_16_add_layer_norm_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.666 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_17_add_layer_norm_v3_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.695 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_18_add_layer_norm_ext_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.724 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_19_inference_qbmm_add_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.752 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_20_inference_swiglu_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.781 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_21_inference_swiglu_fusion_v2 is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.809 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_22_inference_matmul_split_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.840 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_23_add_rms_norm_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.886 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_24_swiglu_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.916 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_25_swiglu_reshape_dynamic_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.943 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_26_add_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.282.973 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_27_add_cast_rms_norm_cast_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.283.002 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_28_rms_norm_add_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.283.033 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_29_rms_norm_quant_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.283.062 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_30_add_cast_rms_norm_cast_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.283.092 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_31_shape_reshape is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.283.121 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_32_split_concat_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.284.363 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_32_split_concat_fusion in 1167.55 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.284.433 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_33_quant_matmul_elemwise_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.284.470 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_34_matmul_sigmoid_add_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.284.500 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_35_matmul_sigmoid_cast_add_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.284.528 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_36_matmul_elemwise_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.284.557 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_37_qbmm_allreduce_convert_bias is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.284.586 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.286.609 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_38_inference_qbmm_allreduce_add_fusion in 1925.03 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.286.706 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_39_remove_fa_tensor_to_tuple_ops is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.286.769 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_40_transpose_batch_matmul_transpose_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.286.801 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_backend_fusion_41_moe_init_routing_dyn_quantv2_fusion is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.286.832 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.287.816 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_backend_fusion_42_add_rms_norm_fusion in 907.228 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.288.091 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:243] GEUnifyMindIR] [PROF]GEUnifyMindIR costs 47.526 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.549 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:fc3.weight [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.601 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:moments.fc3.weight [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.636 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.676 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.720 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:fc2.bias [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.756 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:moments.fc2.bias [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.790 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.829 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.872 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:fc2.weight [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.910 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:moments.fc2.weight [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.956 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.282.998 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.043 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:fc1.bias [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.081 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:moments.fc1.bias [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.116 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.158 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.201 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:fc1.weight [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.235 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:moments.fc1.weight [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.273 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.318 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.363 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:conv2.weight [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.403 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:moments.conv2.weight [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.452 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.499 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.555 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:conv1.weight [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.594 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:moments.conv1.weight [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.630 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.675 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.283.745 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1807] Link] [PROF]GraphSchedulerLinkSinkMode costs 2.393 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.289.638 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.290.836 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:39] MarkRefGraph] Mark graph is ref graph: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.291.194 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.291.273 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.291.323 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.291.371 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.291.420 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.291.465 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.291.512 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.291.554 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.291.598 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:63] MarkRefGraph] graph is ref graph: 1 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.293.995 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.294.175 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.294.376 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unfold_inputs_for_special_nodes_pm_0_ascend_convert_tuple_input_to_dynamic_input in 2623.64 us [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.295.371 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.295.508 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.295.640 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_0_process_call_inline in 876.418 us [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.296.185 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:984] Transform] [PROF]GraphSchedulerLink costs 15.35 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.296.610 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 1_actor_set_kernel_graph_1_invalid_data_arrow_elimination in 7.571 us [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.296.702 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 2_actor_set_kernel_graph_1_multi_actor_fusion in 28.901 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.298.036 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_1_seed_adapter in 2276.83 us [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.296.771 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 3_actor_set_kernel_graph_1_batch_data_arrow_fusion in 2.13 us [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.296.823 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1001] Transform] Graph(kernel_graph_1) transforms actor end. [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.296.886 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.296.981 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.039 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:358] Init] kernel_graph_1 has the parameter input num: 0 [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.084 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.163 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.202 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.279 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.387 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1827] Build] [PROF]GraphScheduler costs 19.579 msec. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.446 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:202] Refresh] Stream manager initialize, stream_size : 3. [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.481 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:63] Resize] Task id on stream manager initialize : 1, stream_size : 3. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.533 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1839] Build] [PROF]compile_backend_graph costs 829.748 msec. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.615 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1842] Build] Status record: end compile function graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434, produce actor: kernel_graph_1, backend_graph_id: 1 [INFO] VM(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.663 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:122] Build] Backend build graph, backend name: , backend type: 0, backend graph id: 1 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.722 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end task_emit action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.804 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.866 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:329] SetLoopCount] Change vm_loop_flag to 0, set loop_size to 468 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.920 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start execute action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.297.970 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end execute action. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.298.004 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.298.049 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:717] Run] End [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.298.297 [mindspore/ccsrc/pipeline/jit/ps/pass_config.cc:244] SavePassesConfig] Running_passes: ['opt_a.r1.a_1.cast_eliminate', 'opt_a.r1.a_1.inline', 'opt_a.r1.a_1.partial_eliminate', 'opt_a.r1.a_1.tuple_list_get_item_depend_reorder', 'opt_a.r1.a_1.tuple_list_get_item_eliminator', 'opt_a.r1.a_2.depend_value_elim', 'opt_a.r1.a_3.replace_applicator', 'opt_a.r1.accelerated_algorithm.less_batch_normalization', 'opt_a.r1.j0.a_1', 'opt_a.r1.j0.a_2', 'opt_a.r1.j0.a_3', 'opt_a.r1.j0.accelerated_algorithm', 'opt_a.r1.j0.auto_parallel', 'opt_a.r1.j0.cse', 'opt_a.r1.j0.flash_sp', 'opt_a.r1.j0.flash_sp_send_recv_attached', 'opt_a.r1.j0.meta_fg_expand', 'opt_a.r1.j0.parallel', 'opt_a.r1.j0.renormalize', 'opt_a.r1.j0.switch_simplify', 'opt_a.r1.j0.updatestate_depend_eliminate', 'opt_a.r1.j0.updatestate_loads_eliminate', 'opt_a.r1.switch_simplify.switch_simplify', 'opt_a.r2.a_1.arithmetic_simplify', 'opt_a.r2.a_1.environ_get_set_eliminate', 'opt_a.r2.a_1.inline', 'opt_a.r2.a_1.tuple_list_get_item_eliminator', 'opt_a.r2.a_1.updatestate_useless_node_eliminater', 'opt_a.r2.j0.a_1', 'opt_a.r2.j0.auto_parallel', 'opt_a.r2.j0.cse', 'opt_a.r2.j0.flash_sp', 'opt_a.r2.j0.parallel', 'opt_a.r2.j0.renormalize', 'opt_a.r2.j0.updatestate_depend_eliminate', 'opt_a.r2.j0.updatestate_loads_eliminate', 'opt_a.r3.j0.auto_parallel', 'opt_a.r3.j0.parallel', 'opt_resolve.r1.j0.resolve', 'opt_resolve.r1.resolve.getattr_setattr_resolve'] [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.298.399 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:221] SaveCompiledGraph] Save compiled func graph(393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434) phase(train.1752551131662057984.281470728895120.0.)! [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.298.505 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_2_insert_tensor_move_for_communication in 371.673 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.299.495 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_3_process partial inline in 873.008 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.300.570 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_4_expander_fallback in 931.278 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.301.615 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_5_convert_pad_v3_paddings in 921.238 us [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.298.589 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:239] SaveCompiledGraph] End save compiled func graph! [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.298.647 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:425] CompileInner] [PROF]ParallelPostProcess costs 0 msec. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.298.683 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:269] CleanCompileRes] Clean compile resource start [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.302.672 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_6_convert_pad_v3_grad_paddings in 931.618 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.304.534 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_7_resize_bilinear_add_attr in 1719.77 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.304.671 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_pm_8_backend_custom_depend in 34.74 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.304.910 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:122] GEBackendOptimizeACL] [PROF]GEBackendOptimizeACL costs 10.186 msec. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.305.071 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:97] OptimizeACLGraph] [PROF]OptimizeACLGraph costs 14.265 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.305.755 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.306.644 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.306.793 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.306.894 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.306.980 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.307.179 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] GetNext is not defined in opdef. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.307.597 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] GetNext select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.307.665 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.307.763 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.307.840 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.307.926 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.307.988 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.308.074 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.308.277 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Default/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.308.357 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.308.448 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.308.676 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.308.778 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.308.824 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.308.904 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.309.499 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] OneHot select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.309.576 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.309.671 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.309.738 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.309.818 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.309.874 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] Conv2D is not defined in opdef. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.310.496 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Conv2D select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.310.564 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.310.657 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.310.701 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.310.779 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.310.837 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.310.918 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.311.072 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.311.167 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.311.289 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ReLU select aclnn kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.311.353 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.311.438 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.311.480 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.311.563 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.311.617 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] MaxPool is not defined in opdef. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.312.022 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] MaxPool select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.312.078 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.312.170 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.312.212 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.312.292 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.312.553 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.312.650 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.312.696 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.312.778 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.312.861 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.312.946 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.313.065 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.313.155 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.313.200 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.313.284 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.313.488 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.313.586 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.313.632 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.313.710 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.313.792 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.313.876 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.314.016 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.314.111 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.314.153 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.314.232 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.314.289 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.314.373 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.314.565 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.314.658 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.314.852 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] MatMul select aclnn kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.314.903 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.314.988 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.315.026 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.315.101 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.314.844 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:290] CleanCompileRes] Clean compile resource end [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.314.933 [mindspore/ccsrc/pipeline/jit/ps/event_message_print.cc:42] PrintEventMessage] End compiling '_DataWrapper.construct'. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.315.002 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:434] CompileInner] [PROF]CleanCompileRes costs 16.293 msec. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.315.032 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:435] CompileInner] Finish compiling. [INFO] PIPELINE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.315.087 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:436] CompileInner] [PROF]compile_graph costs 2338.1 msec. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.315.617 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] BiasAdd select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.315.683 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.315.771 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.315.812 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.315.891 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.315.954 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.316.033 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.316.155 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.316.244 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.316.288 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.316.364 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.316.417 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.316.499 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.316.700 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.316.798 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.316.843 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.316.927 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.317.232 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.317.340 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.317.386 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.317.466 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.317.531 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.317.619 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.317.750 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.317.843 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.317.886 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.317.966 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.318.053 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.318.143 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.318.340 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.318.465 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.318.518 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.318.602 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.318.921 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.034 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.089 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.171 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.233 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.320 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.429 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.507 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.597 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.761 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.856 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.903 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.319.984 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.320.041 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] SoftmaxCrossEntropyWithLogits is not defined in opdef. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.320.563 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] SoftmaxCrossEntropyWithLogits select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.320.636 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.320.726 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.320.770 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.320.848 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.320.928 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.009 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.106 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.189 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.348 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Mul select aclnn kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.394 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.477 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.519 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.597 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.650 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.728 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.785 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.849 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.321.931 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.322.083 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.322.176 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.322.217 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.322.294 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.322.942 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ReduceMean select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.015 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.110 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.154 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.231 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.299 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.382 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.556 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.648 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.716 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.797 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.860 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.323.944 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.324.120 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.324.213 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.324.260 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.324.338 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [WARNING] ME(1384455:281473606872768,MainProcess):2025-07-15-11:45:34.322.191 [mindspore/parallel/_utils.py:516] You are suggested to use mindspore.context.set_auto_parallel_context(parameter_broadcast=True) or mindspore.common.set_seed() to share parameters among multi-devices. [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.324.397 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] AllReduce is not defined in opdef. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.324.452 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.324.537 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.324.881 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.324.991 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.325.139 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] AllReduce select hccl kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.325.194 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.325.208 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.325.276 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.325.315 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.325.335 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.325.389 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] VM(1384455,ffffae59eec0,python):2025-07-15-11:45:34.325.458 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:131] Run] Backend run graph: 1, backend type: 0 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.325.552 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1993] Run] Status record: start run actor: kernel_graph_1 [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.325.608 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:195] PreLaunchCommKernel] Pre launch comm kernel. [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.325.747 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:215] PreLaunchCommKernel] No hccl kernel to pre launch [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.325.758 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] BiasAddGrad select aclop kernel [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.325.807 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2009] Run] [PROF]PreLaunchCommKernel costs 0.184 msec. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.325.809 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] UTILS(1384455,ffffae59eec0,python):2025-07-15-11:45:34.325.848 [mindspore/ccsrc/utils/signal_util.cc:51] RegisterGlobalSignalHandler] MSCONTEXT_REGISTER_INIT_FUNC register int handler [INFO] UTILS(1384455,ffffae59eec0,python):2025-07-15-11:45:34.325.884 [mindspore/ccsrc/utils/signal_util.cc:57] RegisterGlobalSignalHandler] The signal has been registered [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.325.891 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.325.930 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.325.960 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1259] RefreshGraphParameterStore] Input args size: 19 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.326.007 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.326.224 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.326.318 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.326.466 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] RUNTIME_FRAMEWORK(1384455,ffffae59eec0,python):2025-07-15-11:45:34.326.531 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:760] PrepareDataForDeviceTensorStore] Prepare store data, input tensor size: 0, arg size: 19 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.326.576 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.326.617 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.326.691 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:34.326.707 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:743] GenerateAllocator] Generate allocator, is persistent : 1, stream id : 0. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.326.751 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:34.326.817 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:755] operator()] Malloc mem block, is enable eager free : 0, is enable vmm : 1, size : 512, block size : 1073741824. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.326.834 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384455,ffffae59eec0,python):2025-07-15-11:45:34.326.878 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.cc:205] AllocDeviceMem] VMM AllocDeviceMem size:61025026048, align_size:61025026048 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.326.970 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.056 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.104 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.182 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.239 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.319 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.385 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.471 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.656 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ReluGrad select aclnn kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.710 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.803 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.848 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.929 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.327.994 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.328.081 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.328.277 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.328.374 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.328.421 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.328.504 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.328.565 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.328.647 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.328.839 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.328.938 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.328.985 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.329.067 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.329.336 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.329.442 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.329.578 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.329.671 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.329.717 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.329.795 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.329.859 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.329.938 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.330.106 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.330.203 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.330.249 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.330.332 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.330.643 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.330.753 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.330.799 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.330.881 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.331.130 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.331.224 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.331.354 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.331.446 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.331.492 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.331.597 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.331.663 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.331.747 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.331.881 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.331.973 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.332.020 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.332.102 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.332.160 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.332.245 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.332.400 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.332.493 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.332.538 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.332.616 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.332.695 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.332.781 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.332.972 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.333.065 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.333.112 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.333.191 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.333.249 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.333.332 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.333.497 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.333.589 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.333.636 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.333.712 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.333.988 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.334.091 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.334.226 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.334.320 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.334.362 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.334.463 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.334.537 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.334.620 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.334.750 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.334.839 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.334.882 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.334.960 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.335.231 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.335.378 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.335.436 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.335.522 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.335.815 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.335.932 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.336.112 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.336.209 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.336.255 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] PRE_ACT(1384455,ffffae59eec0,python):2025-07-15-11:45:34.336.191 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:775] operator()] Malloc mem block : {"addr_":0x12c1c0000000,"size_":61025026048,"stream_id_":0,"min_addr_":0,"max_addr_":0}. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.336.334 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.336.403 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.336.487 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.336.657 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.336.755 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.336.831 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.336.919 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.336.988 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.337.084 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.337.149 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:774] IsEnableAclnn] Kernel Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0 is view op and not support aclnn [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.337.224 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.337.309 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.337.502 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.337.597 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.337.643 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.337.718 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.337.776 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] MaxPoolGrad is not defined in opdef. [INFO] KERNEL(1384455,ffffae59eec0,python):2025-07-15-11:45:34.337.726 [mindspore/ccsrc/kernel/kernel_info.cc:126] OutputAddrExist] Index [0] has no kernel tensor. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.338.462 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] MaxPoolGrad select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.338.537 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.338.634 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.338.678 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.338.756 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.338.818 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.338.899 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.339.049 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.339.136 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.339.178 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.339.259 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.339.725 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] AssignAdd select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.339.796 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.339.889 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.339.960 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.340.043 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.340.104 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] Conv2DBackpropInput is not defined in opdef. [INFO] PRE_ACT(1384455,fffdf57defa0,python):2025-07-15-11:45:34.340.158 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:743] GenerateAllocator] Generate allocator, is persistent : 0, stream id : 0. [INFO] PRE_ACT(1384455,fffdf57defa0,python):2025-07-15-11:45:34.340.307 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:755] operator()] Malloc mem block, is enable eager free : 0, is enable vmm : 1, size : 131584, block size : 1073741824. [INFO] DEVICE(1384455,fffdf57defa0,python):2025-07-15-11:45:34.340.355 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.cc:205] AllocDeviceMem] VMM AllocDeviceMem size:61025026048, align_size:61025026048 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.340.641 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Conv2DBackpropInput select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.340.704 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.340.799 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.340.840 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.340.916 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.340.974 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] Conv2DBackpropFilter is not defined in opdef. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.341.474 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] Conv2DBackpropFilter select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.341.538 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.341.627 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.341.670 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.341.748 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.019 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.115 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.250 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.340 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.382 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.481 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.543 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.627 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.766 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.856 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.899 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.342.977 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.343.028 [mindspore/ops/kernel/ascend/opapi/aclnn_kernel_build.cc:78] IsEnabledAclnnDispatch] ApplyMomentum is not defined in opdef. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.343.735 [mindspore/ccsrc/plugin/device/ascend/hal/device/kernel_select_ascend.cc:650] CollectOpSelectedType] ApplyMomentum select aclop kernel [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.343.815 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.343.913 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.343.957 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.344.038 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.344.347 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.344.453 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.344.501 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.344.581 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.344.646 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.344.728 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.344.867 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.344.960 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.345.026 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.345.112 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.345.486 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.345.599 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.345.643 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.345.722 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.345.973 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.346.068 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.346.197 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.346.286 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.346.329 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.346.410 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.346.498 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.346.615 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.346.762 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.346.855 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.346.899 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.346.982 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.347.327 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.347.434 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.347.480 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.347.560 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.347.854 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.347.957 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.348.003 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.348.087 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.348.387 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.348.497 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.348.543 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.348.622 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.348.911 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.349.017 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.349.066 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.349.147 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384455,fffdf57defa0,python):2025-07-15-11:45:34.349.147 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:775] operator()] Malloc mem block : {"addr_":0x12d000000000,"size_":61025026048,"stream_id_":0,"min_addr_":0,"max_addr_":0}. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.349.433 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.349.528 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.349.574 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.349.653 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.349.971 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.350.071 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.350.116 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.350.193 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.350.254 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.350.335 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.350.499 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.350.591 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.350.637 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.350.715 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.351.607 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:310] SelectKernel] [PROF]SelectKernel costs 46.42 msec. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.351.684 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:314] PrintOpSelectedNum] Number of INTERNAL_KERNEL, OPAPI_KERNEL, ACL_KERNEL, ATB_KERNEL, HCCL_KERNEL, HOST_KERNEL: [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.351.723 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:320] PrintOpSelectedNum] 0 26 28 0 8 0 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.351.889 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.352.012 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.352.504 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_0_set_fracz_group_attr in 361.003 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.354.609 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_1_insert_identity in 1979.74 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.358.959 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_2_insert_type_transform_op in 4156.84 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.359.083 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:119] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_3_shape_reshape is disabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.359.123 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_opt_acl_after_kernel_select_pm_4_shape_reshape_direct is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.360.365 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_opt_acl_after_kernel_select_pm_4_shape_reshape_direct in 1153.37 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.360.798 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_5_graph_view_replace in 321.753 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.360.870 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_6_label_1f1b_overlap_node in 3.26 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.360.920 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_select_pm_7_insert_move_to in 7.01 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.361.116 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:173] GEBackendOptimizeACLAfterKernelSelect] [PROF]GEBackendOptimizeACLAfterKernelSelect costs 9.298 msec. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.361.313 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.361.432 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.361.503 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:210] GEBackendOptimizeACLAfterKernelPacket] [PROF]GEBackendOptimizeACLAfterKernelPacket costs 0.007 msec. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.361.887 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_after_kernel_packet_0_graph_view_replace in 296.873 us [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.362.712 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.363.618 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:131] OptimizeACLGraphAfterKernelSelect] [PROF]OptimizeACLGraphAfterKernelSelect costs 11.784 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.364.181 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.365.045 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_after_inline_pm_0_DropoutGenMask is enabled. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.365.136 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_after_inline_pm_0_DropoutGenMask in 4.641 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.365.842 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_1_cse in 618.545 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.366.088 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_2_eliminate_maketuple_getitem in 161.662 us [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.366.689 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.367.543 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_3_insert_pre_fetch_depend in 1354.02 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.367.631 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_after_inline_pm_4_overlap_1b1f in 4.3 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.367.853 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:281] GEAfterInlineOptimize] [PROF]GEAfterInlineOptimize costs 2.871 msec. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.367.949 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:436] InlineCallGraph] [PROF]InlineCallGraph costs 4.253 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.368.497 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.369.516 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:911] InlineSwitchGraph] [PROF]InlineSwitchGraph costs 1.448 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.369.634 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:622] CompileGraphImpl] [PROF]OptimizeGraph costs 78.83 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.370.169 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.371.053 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive GetNext [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.372.277 [mindspore/ccsrc/plugin/res_manager/ascend/op_adapter/op_adapter.h:531] ConvertAny] Value: ValueTuple [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.372.675 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive GetNext [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.372.742 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:GetNext, kernel type:acl_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.372.866 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.373.155 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.373.237 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive OneHot [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.373.774 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive OneHot [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.373.827 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:OneHot, kernel type:acl_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.373.877 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2D [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.374.491 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2D [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.374.558 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2D, kernel type:acl_kernel [INFO] GE_ADPT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.375.403 [mindspore/ops/kernel/ascend/acl_ir/op_api_exec.cc:124] ParseCustomPriority] Could not open the file /usr/local/Ascend/ascend-toolkit/latest/opp/vendors/config.ini [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.775.773 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21687a37-612e-11f0-8a6d-b04fa6070ebe; have_sent: 100; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 16; device_queue: 91, 92, 93, 94, 95, 96, 97, 98, 99, 99; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.603.009 -> 2025-07-15-11:45:33.614.879 push_start_time -> push_end_time -> 2025-07-15-11:45:34.074.312 2025-07-15-11:45:34.076.955 -> 2025-07-15-11:45:34.077.684 2025-07-15-11:45:34.082.498 -> 2025-07-15-11:45:34.083.234 2025-07-15-11:45:34.085.605 -> 2025-07-15-11:45:34.086.391 2025-07-15-11:45:34.090.252 -> 2025-07-15-11:45:34.091.113 2025-07-15-11:45:34.092.457 -> 2025-07-15-11:45:34.093.158 2025-07-15-11:45:34.095.832 -> 2025-07-15-11:45:34.096.536 2025-07-15-11:45:34.099.129 -> 2025-07-15-11:45:34.099.859 2025-07-15-11:45:34.102.649 -> 2025-07-15-11:45:34.103.244 2025-07-15-11:45:34.107.815 -> 2025-07-15-11:45:34.108.490 2025-07-15-11:45:34.775.439 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384455,fffd557aefa0,python):2025-07-15-11:45:34.776.473 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 101 batch(es) to device, channel name: 21687a37-612e-11f0-8a6d-b04fa6070ebe [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.870.695 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.870.912 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPool [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.871.754 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPool [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.871.841 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPool, kernel type:acl_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.871.908 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2D [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.872.277 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2D [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.872.339 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2D, kernel type:acl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.872.903 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.873.007 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPool [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.873.331 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPool [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.873.395 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPool, kernel type:acl_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.873.466 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[flatten] [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.873.679 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Flatten, kernel type:rt_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.910.867 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.911.055 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAdd [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.911.883 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAdd [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.911.969 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAdd, kernel type:acl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.912.478 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.913.200 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.913.303 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAdd [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.913.614 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAdd [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.913.672 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAdd, kernel type:acl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.914.098 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReLU, kernel type:opapi_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.914.712 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.914.812 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAdd [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.915.106 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAdd [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.915.160 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAdd, kernel type:acl_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.915.218 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.915.361 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.915.416 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive SoftmaxCrossEntropyWithLogits [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.915.626 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive SoftmaxCrossEntropyWithLogits [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.915.674 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:SoftmaxCrossEntropyWithLogits, kernel type:acl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.923.817 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.924.037 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.924.303 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.924.378 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ReduceMean [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.924.953 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ReduceMean [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.925.033 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReduceMean, kernel type:acl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.930.419 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.935.889 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.936.133 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.936.574 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.936.714 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.936.860 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.936.973 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.937.051 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAddGrad [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.937.542 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAddGrad [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.937.614 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAddGrad, kernel type:acl_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.937.676 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.937.828 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.937.945 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.938.068 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.938.152 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.938.644 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.945.367 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.946.314 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.946.855 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.946.949 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.947.126 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.947.246 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.947.341 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.947.419 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.947.758 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.947.835 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAddGrad [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.948.135 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAddGrad [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.948.191 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAddGrad, kernel type:acl_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.948.248 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.948.387 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.948.495 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.948.609 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.948.689 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.949.043 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.949.498 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.950.007 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.950.419 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MatMul, kernel type:opapi_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.950.532 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.950.698 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.950.810 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.950.902 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.950.971 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.951.295 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.951.383 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive BiasAddGrad [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.951.692 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive BiasAddGrad [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.951.757 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:BiasAddGrad, kernel type:acl_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.951.822 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.951.988 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.952.110 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.952.238 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.952.341 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.952.911 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.953.037 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[reshape] [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.953.270 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Reshape, kernel type:rt_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.953.349 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPoolGrad [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.953.985 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPoolGrad [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.954.077 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPoolGrad, kernel type:acl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.954.592 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.954.710 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive AssignAdd [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.955.023 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive AssignAdd [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.955.093 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AssignAdd, kernel type:acl_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.955.157 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2DBackpropInput [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.955.848 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2DBackpropInput [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.955.941 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2DBackpropInput, kernel type:acl_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.956.014 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2DBackpropFilter [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.956.620 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2DBackpropFilter [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.956.708 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2DBackpropFilter, kernel type:acl_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.956.780 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.957.034 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.957.172 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.957.289 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.957.402 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.957.941 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.958.063 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.958.801 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.958.898 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.958.972 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive MaxPoolGrad [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.959.365 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive MaxPoolGrad [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.959.445 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:MaxPoolGrad, kernel type:acl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.959.926 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ReluGrad, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.960.048 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive Conv2DBackpropFilter [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.960.553 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive Conv2DBackpropFilter [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.960.631 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Conv2DBackpropFilter, kernel type:acl_kernel [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.960.707 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel_build.cc:32] HcclOpBuild] Build hccl op [AllReduce] [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.960.924 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.961.065 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.961.205 [mindspore/ccsrc/plugin/device/ascend/kernel/hccl/hccl_kernel.cc:211] CalLoopSize] Get Hccl Kernel: AllReduce, output size: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.961.320 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:AllReduce, kernel type:hccl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.961.946 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.962.070 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.962.539 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.962.623 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.962.695 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.963.029 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.963.113 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.963.184 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.963.498 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.963.569 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.963.636 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.963.940 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.964.013 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.964.075 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.964.356 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.964.428 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.964.497 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.964.815 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.964.891 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.965.433 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:Mul, kernel type:opapi_kernel [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.965.564 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:31] AclOpBuild] Begin to create acl kernel module for primitive ApplyMomentum [INFO] ME(1384462,ffff943eeec0,python):2025-07-15-11:45:34.965.930 [mindspore/ops/kernel/ascend/acl/acl_kernel_build.cc:73] AclOpBuild] Finished creating acl kernel module for primitive ApplyMomentum [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.966.006 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:196] GenerateKernelMod] kernel opname:ApplyMomentum, kernel type:acl_kernel [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.968.495 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_ack_0_erase_visit_attr in 2228.92 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.973.312 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_opt_acl_ack_1_deal_ref_output in 4549.69 us [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:34.973.689 [mindspore/ccsrc/plugin/device/ascend/optimizer/ge_backend_optimization.cc:79] AclAfterCreateKernel] [PROF]AclAfterCreateKernel costs 7.528 msec. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.973.846 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_graph_optimization.cc:151] OptimizeACLGraphAfterCreateKernel] [PROF]OptimizeACLGraphAfterCreateKernel costs 7.753 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.974.568 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:83] Build] exec order build by bfs [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.976.314 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1194] OptimizeExecutionOrder] [PROF]OptimizeExecutionOrder costs 2.281 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.976.503 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:631] CompileGraphImpl] [PROF]CreateKernel costs 606.778 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.976.861 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0, output index: 0 to input global_step, output index: 0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.977.139 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:CNode_438{[0]: ValueNode PrimFunc_AssignAdd, [1]: param_global_step, [2]: ValueNode Tensor(shape=[1], dtype=Int32, value=[1]), [3]: CNode_439}, index is 0 new origin node:@kernel_graph1:param_global_step index:0 old origin node:@kernel_graph1:param_global_step index:0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.977.217 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0, output index: 0 to input fc3.bias, output index: 0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.977.448 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.bias, [2]: param_moments.fc3.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_440}, index is 0 new origin node:@kernel_graph1:param_fc3.bias index:0 old origin node:@kernel_graph1:param_fc3.bias index:0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.977.557 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1, output index: 0 to input fc3.weight, output index: 0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.977.804 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.weight, [2]: param_moments.fc3.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_441}, index is 0 new origin node:@kernel_graph1:param_fc3.weight index:0 old origin node:@kernel_graph1:param_fc3.weight index:0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.977.884 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2, output index: 0 to input fc2.bias, output index: 0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.978.125 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.bias, [2]: param_moments.fc2.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_442}, index is 0 new origin node:@kernel_graph1:param_fc2.bias index:0 old origin node:@kernel_graph1:param_fc2.bias index:0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.978.203 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3, output index: 0 to input fc2.weight, output index: 0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.978.463 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.weight, [2]: param_moments.fc2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_443}, index is 0 new origin node:@kernel_graph1:param_fc2.weight index:0 old origin node:@kernel_graph1:param_fc2.weight index:0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.978.559 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4, output index: 0 to input fc1.bias, output index: 0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.978.823 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.bias, [2]: param_moments.fc1.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_444}, index is 0 new origin node:@kernel_graph1:param_fc1.bias index:0 old origin node:@kernel_graph1:param_fc1.bias index:0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.978.922 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5, output index: 0 to input fc1.weight, output index: 0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.979.179 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.weight, [2]: param_moments.fc1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_445}, index is 0 new origin node:@kernel_graph1:param_fc1.weight index:0 old origin node:@kernel_graph1:param_fc1.weight index:0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.979.310 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6, output index: 0 to input conv2.weight, output index: 0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.979.581 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv2.weight, [2]: param_moments.conv2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_446}, index is 0 new origin node:@kernel_graph1:param_conv2.weight index:0 old origin node:@kernel_graph1:param_conv2.weight index:0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.979.668 [mindspore/ccsrc/backend/common/session/anf_runtime_algorithm.cc:1977] AddOutInRefToGraph] The reference relation output Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7, output index: 0 to input conv1.weight, output index: 0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.979.910 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:797] AddRefCorrespondPairs] Out_pair is already in RefOutputMap, node is @kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv1.weight, [2]: param_moments.conv1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_447}, index is 0 new origin node:@kernel_graph1:param_conv1.weight index:0 old origin node:@kernel_graph1:param_conv1.weight index:0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.980.536 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Default/Reshape-op0, index: 0 to input Default/GetNext-op0, index: 1 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.980.677 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Flatten-op0, index: 0 to input Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op1, index: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.980.749 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0, index: 0 to input Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/BiasAdd-op0, index: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.980.824 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0, index: 0 to input Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Mul-op0, index: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:34.980.889 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:186] OptimizeNopNode] The reference relation of nopnode Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0, index: 0 to input Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op2, index: 0 [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:34.981.000 [mindspore/ccsrc/backend/common/session/session_basic.cc:1079] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 1 start [INFO] DEBUG(1384462,ffff943eeec0,python):2025-07-15-11:45:34.981.057 [mindspore/ccsrc/debug/summary/summary.cc:55] RecurseSetSummaryNodesForAllGraphs] Recurse set summary nodes for all graphs in graph: 1 start [INFO] DEBUG(1384462,ffff943eeec0,python):2025-07-15-11:45:34.981.099 [mindspore/ccsrc/debug/summary/summary.cc:60] RecurseSetSummaryNodesForAllGraphs] This function should be skipped on GE backend. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.981.769 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1216] ResetNodeIds] Start reset node id [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.982.317 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1236] ResetNodeIds] End reset node id [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.982.466 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.982.600 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.982.659 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1138] DoStreamAssign] Status record: start stream assign, kernel_graph1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.982.768 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/GetNext-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.982.876 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/Reshape-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.004 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/OneHot-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.083 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Conv2D-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.156 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Conv2D-op0, because group value is 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.224 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.297 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.368 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Conv2D-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.463 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Conv2D-op0, because group value is 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.532 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.595 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.655 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Flatten-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.749 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/MatMul-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.827 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/BiasAdd-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.891 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op2 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.983.957 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/MatMul-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.023 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/BiasAdd-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.089 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op3 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.158 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/MatMul-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.228 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/BiasAdd-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.292 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.392 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.496 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Mul-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.561 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.636 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.722 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.823 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op3 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.984.914 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op2 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.987.815 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:105] RegCallback] Register callback thread, stream : 0x46ae83c0. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.988.339 [mindspore/ccsrc/plugin/res_manager/ascend/stream_manager/ascend_stream_manager.cc:125] RegCallback] Register callback thread success, stream : 0x46ae83c0. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.988.481 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op2, group: hccl_world_group [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.988.645 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.988.722 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.988.803 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op1, group: hccl_world_group [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.988.864 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op2 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.988.948 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.056 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.138 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op4 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.208 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op4 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.276 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op4, group: hccl_world_group [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.341 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.411 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.483 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op3 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.560 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op3, group: hccl_world_group [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.626 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op4 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.697 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.765 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op2 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.884 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op5 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.989.959 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op6 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.052 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op6, group: hccl_world_group [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.129 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op3 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.202 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op2 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.271 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op5 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.335 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op5, group: hccl_world_group [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.400 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op6 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.510 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.630 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.716 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op2 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.792 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.876 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropInput-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.990.948 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropInput-op0, because group value is 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.024 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.083 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0, because group value is 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.180 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op7 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.260 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op7, group: hccl_world_group [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.333 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op5 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.415 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.510 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.584 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op3 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.669 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.732 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:141] AddStreamIdByGroup] Set stream id by default for node Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0, because group value is 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.805 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.881 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:136] AddStreamIdByGroup] Set stream id by group 2 for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op0, group: hccl_world_group [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.991.953 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op7 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.992.032 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.992.106 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.992.197 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.992.269 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.992.340 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.992.409 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.992.489 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op0 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.992.568 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/acl_stream_assign.cc:196] AssignStream] Set stream id by group for node Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.997.164 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ge_kernel_executor.cc:1154] DoStreamAssign] Status record: end stream assign, kernel_graph1 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.997.367 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.997.504 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.997.626 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.997.699 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:8 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.997.759 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.997.855 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.997.931 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.997.990 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 8, record_stream_id_ : 0. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.998.129 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.998.245 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.998.371 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.998.456 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:9 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.998.530 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.998.636 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.998.716 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.998.768 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 9, record_stream_id_ : 0. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.998.827 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.998.925 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.000 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.056 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:0 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.120 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.222 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.309 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.368 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:10 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.429 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.543 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.669 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.734 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 10, record_stream_id_ : 0. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.801 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.905 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:34.999.987 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.048 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:1 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.106 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.210 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.306 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.374 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 0, record_stream_id_ : 2. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.455 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.565 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.647 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.701 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:11 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.761 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.858 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.000.968 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.028 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 11, record_stream_id_ : 0. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.090 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.186 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.264 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.320 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:2 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.378 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.480 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.561 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.617 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 1, record_stream_id_ : 2. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.685 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.789 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.875 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.938 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:12 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.001.995 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.002.099 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.002.210 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.002.276 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 12, record_stream_id_ : 0. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.002.338 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.002.462 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.002.565 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.002.627 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:3 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.002.700 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.002.809 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.002.905 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.002.972 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 2, record_stream_id_ : 2. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.054 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.168 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.251 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.307 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:13 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.363 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.456 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.536 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.654 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 13, record_stream_id_ : 0. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.732 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.835 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.917 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.003.977 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:4 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.033 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.130 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.206 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.270 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 3, record_stream_id_ : 2. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.334 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.431 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.503 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.556 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:14 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.608 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.701 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.774 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.849 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 14, record_stream_id_ : 0. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.004.910 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.013 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.093 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.148 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:5 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.210 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.312 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.389 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.446 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 4, record_stream_id_ : 2. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.531 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.636 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.722 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.776 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:15 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.833 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.005.939 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.021 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.080 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 15, record_stream_id_ : 0. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.190 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.302 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.392 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.481 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:6 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.545 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.648 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.725 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.778 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 5, record_stream_id_ : 2. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.851 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.006.952 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.027 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.081 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:16 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.144 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.252 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.351 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.421 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 16, record_stream_id_ : 0. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.532 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.652 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.756 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.822 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:7 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.884 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.007.988 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.008.076 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.008.136 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 6, record_stream_id_ : 2. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.008.229 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.008.351 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.008.457 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.008.535 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 7, record_stream_id_ : 2. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.008.622 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.008.732 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.008.819 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamsend] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.008.884 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/send.cc:40] Init] send op event id:17 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.008.948 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.009.091 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.009.192 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/rt_kernel_build.cc:31] RtOpBuild] Op Name(tolower)[streamrecv] [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.009.259 [mindspore/ccsrc/plugin/device/ascend/kernel/rts/recv.cc:42] Init] recv op event_id_: 17, record_stream_id_ : 2. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.009.370 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:948] PrintGraphExecuteOrder] Graph 1 execution order: [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.009.532 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[0], node name[Default/StreamSend-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_448{[0]: ValueNode StreamSend}], event id[8] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.009.657 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[1], node name[Default/StreamRecv-op0], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_449{[0]: ValueNode StreamRecv}], event id[8] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.009.790 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[2], node name[Default/GetNext-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:outputs{[0]: ValueNode GetNext}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.009.998 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[3], node name[Default/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_450{[0]: ValueNode PrimFunc_Reshape, [1]: CNode_451, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[32])}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.010.270 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[4], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/OneHot-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_452{[0]: ValueNode PrimFunc_OneHot, [1]: CNode_450, [2]: ValueNode Tensor(shape=[], dtype=Int64, value=10), [3]: ValueNode Tensor(shape=[], dtype=Float32, value=1), [4]: ValueNode Tensor(shape=[], dtype=Float32, value=0), [5]: ValueNode -1}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.010.529 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[5], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Conv2D-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_15_output{[0]: ValueNode Conv2D, [1]: CNode_453, [2]: equiv_16_CNode_454}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.010.709 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[6], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_20_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_15_output}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.010.859 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[7], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_24_out{[0]: ValueNode MaxPool, [1]: equiv_20_CNode_455}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.011.093 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[8], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Conv2D-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_10_output{[0]: ValueNode Conv2D, [1]: equiv_24_out, [2]: equiv_11_CNode_456}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.011.254 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[9], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_17_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_10_output}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.011.395 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[10], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/MaxPool-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_23_out{[0]: ValueNode MaxPool, [1]: equiv_17_CNode_455}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.011.544 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[11], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Flatten-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_25_CNode_457{[0]: ValueNode PrimFunc_Flatten, [1]: equiv_23_out}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.011.739 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[12], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_12_x{[0]: ValueNode PrimFunc_MatMul, [1]: equiv_25_CNode_457, [2]: equiv_13_CNode_458, [3]: ValueNode false, [4]: ValueNode true}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.011.941 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[13], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc1-Dense/BiasAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_21_x{[0]: ValueNode PrimFunc_BiasAdd, [1]: equiv_12_x, [2]: equiv_22_CNode_459, [3]: ValueNode 0}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.012.097 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[14], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_14_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_21_x}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.012.296 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[15], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_7_x{[0]: ValueNode PrimFunc_MatMul, [1]: equiv_14_CNode_455, [2]: equiv_8_CNode_460, [3]: ValueNode false, [4]: ValueNode true}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.012.519 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[16], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc2-Dense/BiasAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_18_x{[0]: ValueNode PrimFunc_BiasAdd, [1]: equiv_7_x, [2]: equiv_19_CNode_461, [3]: ValueNode 0}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.012.720 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[17], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/ReLU-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_9_CNode_455{[0]: ValueNode PrimFunc_ReLU, [1]: equiv_18_x}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.012.926 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[18], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_3_x{[0]: ValueNode PrimFunc_MatMul, [1]: equiv_9_CNode_455, [2]: equiv_4_CNode_462, [3]: ValueNode false, [4]: ValueNode true}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.013.111 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[19], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/BiasAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:equiv_5_x{[0]: ValueNode PrimFunc_BiasAdd, [1]: equiv_3_x, [2]: equiv_6_CNode_435, [3]: ValueNode 0}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.013.327 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[20], node name[Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_463{[0]: ValueNode PrimFunc_Reshape, [1]: equiv_5_x, [2]: ValueNode Tensor(shape=[2], dtype=Int64, value=[32 10])}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.013.533 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[21], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_464{[0]: ValueNode SoftmaxCrossEntropyWithLogits, [1]: CNode_463, [2]: CNode_452}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.013.734 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[22], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Mul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_465{[0]: ValueNode PrimFunc_Mul, [1]: CNode_466, [2]: ValueNode Tensor(shape=[32, 1], dtype=Float32, value=[...])}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.013.924 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[23], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_467{[0]: ValueNode PrimFunc_Reshape, [1]: CNode_465, [2]: ValueNode Tensor(shape=[2], dtype=Int64, value=[32 10])}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.014.104 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[24], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_468{[0]: ValueNode PrimFunc_ReduceMean, [1]: CNode_469, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[0]), [3]: ValueNode false}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.014.335 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[25], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_470{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_467, [2]: equiv_4_CNode_462, [3]: ValueNode false, [4]: ValueNode false}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.014.570 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[26], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_471{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_467, [2]: equiv_9_CNode_455, [3]: ValueNode true, [4]: ValueNode false}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.014.732 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[27], node name[Default/StreamSend-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_472{[0]: ValueNode StreamSend}], event id[9] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.014.844 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[28], node name[Default/StreamRecv-op1], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_473{[0]: ValueNode StreamRecv}], event id[9] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.014.991 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[29], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op2], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_471}], group[hccl_world_group] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.015.107 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[30], node name[Default/StreamSend-op2], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_474{[0]: ValueNode StreamSend}], event id[0] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.015.253 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[31], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_475{[0]: ValueNode PrimFunc_BiasAddGrad, [1]: CNode_467, [2]: ValueNode 0}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.015.361 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[32], node name[Default/StreamSend-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_476{[0]: ValueNode StreamSend}], event id[10] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.015.463 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[33], node name[Default/StreamRecv-op2], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_477{[0]: ValueNode StreamRecv}], event id[10] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.015.598 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[34], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op1], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_475}], group[hccl_world_group] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.015.723 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[35], node name[Default/StreamSend-op4], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_478{[0]: ValueNode StreamSend}], event id[1] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.015.838 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[36], node name[Default/StreamRecv-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_479{[0]: ValueNode StreamRecv}], event id[0] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.016.037 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[37], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.016.231 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[38], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_480{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_470, [2]: equiv_9_CNode_455}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.016.426 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[39], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_481{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_480, [2]: equiv_8_CNode_460, [3]: ValueNode false, [4]: ValueNode false}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.016.608 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[40], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op4], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_482{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_480, [2]: equiv_14_CNode_455, [3]: ValueNode true, [4]: ValueNode false}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.016.738 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[41], node name[Default/StreamSend-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_483{[0]: ValueNode StreamSend}], event id[11] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.016.834 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[42], node name[Default/StreamRecv-op4], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_484{[0]: ValueNode StreamRecv}], event id[11] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.016.992 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[43], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op4], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_482}], group[hccl_world_group] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.017.110 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[44], node name[Default/StreamSend-op6], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_485{[0]: ValueNode StreamSend}], event id[2] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.017.211 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[45], node name[Default/StreamRecv-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_486{[0]: ValueNode StreamRecv}], event id[1] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.017.446 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[46], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.017.620 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[47], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_487{[0]: ValueNode PrimFunc_BiasAddGrad, [1]: CNode_480, [2]: ValueNode 0}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.017.745 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[48], node name[Default/StreamSend-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_488{[0]: ValueNode StreamSend}], event id[12] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.017.843 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[49], node name[Default/StreamRecv-op6], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_489{[0]: ValueNode StreamRecv}], event id[12] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.017.973 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[50], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op3], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_487}], group[hccl_world_group] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.018.068 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[51], node name[Default/StreamSend-op8], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_490{[0]: ValueNode StreamSend}], event id[3] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.018.157 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[52], node name[Default/StreamRecv-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_491{[0]: ValueNode StreamRecv}], event id[2] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.018.333 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[53], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op4], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.018.524 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[54], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_492{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_481, [2]: equiv_14_CNode_455}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.018.715 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[55], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_493{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_492, [2]: equiv_13_CNode_458, [3]: ValueNode false, [4]: ValueNode false}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.018.929 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[56], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_MatMul/MatMul-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_494{[0]: ValueNode PrimFunc_MatMul, [1]: CNode_492, [2]: equiv_25_CNode_457, [3]: ValueNode true, [4]: ValueNode false}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.019.055 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[57], node name[Default/StreamSend-op9], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_495{[0]: ValueNode StreamSend}], event id[13] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.019.149 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[58], node name[Default/StreamRecv-op8], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_496{[0]: ValueNode StreamRecv}], event id[13] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.019.283 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[59], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op6], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_494}], group[hccl_world_group] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.019.398 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[60], node name[Default/StreamSend-op10], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_497{[0]: ValueNode StreamSend}], event id[4] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.019.492 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[61], node name[Default/StreamRecv-op9], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_498{[0]: ValueNode StreamRecv}], event id[3] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.019.682 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[62], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.019.840 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[63], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/fc3-Dense/Grad_BiasAdd/BiasAddGrad-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_499{[0]: ValueNode PrimFunc_BiasAddGrad, [1]: CNode_492, [2]: ValueNode 0}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.019.969 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[64], node name[Default/StreamSend-op11], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_500{[0]: ValueNode StreamSend}], event id[14] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.020.079 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[65], node name[Default/StreamRecv-op10], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_501{[0]: ValueNode StreamRecv}], event id[14] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.020.229 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[66], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op5], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_499}], group[hccl_world_group] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.020.390 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[67], node name[Default/StreamSend-op12], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_502{[0]: ValueNode StreamSend}], event id[5] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.020.489 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[68], node name[Default/StreamRecv-op11], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_503{[0]: ValueNode StreamRecv}], event id[4] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.020.667 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[69], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op6], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.020.835 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[70], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/flatten-Flatten/Grad_Flatten/Reshape-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_504{[0]: ValueNode PrimFunc_Reshape, [1]: CNode_493, [2]: ValueNode (32, 16, 5, 5)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.021.042 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[71], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_505{[0]: ValueNode MaxPoolGrad, [1]: equiv_17_CNode_455, [2]: equiv_23_out, [3]: CNode_504}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.021.215 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[72], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_506{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_505, [2]: equiv_17_CNode_455}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.021.413 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[73], node name[Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_438{[0]: ValueNode PrimFunc_AssignAdd, [1]: param_global_step, [2]: ValueNode Tensor(shape=[1], dtype=Int32, value=[1]), [3]: CNode_439}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.021.597 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[74], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropInput-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_507{[0]: ValueNode Conv2DBackpropInput, [1]: CNode_506, [2]: equiv_11_CNode_456, [3]: ValueNode (32, 6, 14, 14)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.021.796 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[75], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv2-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_508{[0]: ValueNode Conv2DBackpropFilter, [1]: CNode_506, [2]: equiv_24_out, [3]: ValueNode (16, 6, 5, 5)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.021.956 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[76], node name[Default/StreamSend-op13], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_509{[0]: ValueNode StreamSend}], event id[15] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.022.054 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[77], node name[Default/StreamRecv-op12], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_510{[0]: ValueNode StreamRecv}], event id[15] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.022.191 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[78], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op7], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_508}], group[hccl_world_group] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.022.297 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[79], node name[Default/StreamSend-op14], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_511{[0]: ValueNode StreamSend}], event id[6] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.022.390 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[80], node name[Default/StreamRecv-op13], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_512{[0]: ValueNode StreamRecv}], event id[5] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.022.625 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[81], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.022.929 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[82], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.bias, [2]: param_moments.fc3.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_440}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.023.171 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[83], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/max_pool2d-MaxPool2d/Grad_MaxPool/MaxPoolGrad-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_513{[0]: ValueNode MaxPoolGrad, [1]: equiv_20_CNode_455, [2]: equiv_24_out, [3]: CNode_507}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.023.346 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[84], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/relu-ReLU/Grad_ReLU/ReluGrad-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_514{[0]: ValueNode PrimFunc_ReluGrad, [1]: CNode_513, [2]: equiv_20_CNode_455}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.023.531 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[85], node name[Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-LeNet5/conv1-Conv2d/Grad_Conv2D/Conv2DBackpropFilter-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_515{[0]: ValueNode Conv2DBackpropFilter, [1]: CNode_514, [2]: CNode_453, [3]: ValueNode (6, 1, 5, 5)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.023.699 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[86], node name[Default/StreamSend-op15], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_516{[0]: ValueNode StreamSend}], event id[16] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.023.832 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[87], node name[Default/StreamRecv-op14], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_517{[0]: ValueNode StreamRecv}], event id[16] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.023.986 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[88], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/AllReduce-op0], logic id[4294967295], stream id[2], node info[@kernel_graph1:new_grad{[0]: ValueNode AllReduce, [1]: CNode_515}], group[hccl_world_group] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.024.110 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[89], node name[Default/StreamSend-op16], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_518{[0]: ValueNode StreamSend}], event id[7] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.024.211 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[90], node name[Default/StreamRecv-op15], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_519{[0]: ValueNode StreamRecv}], event id[6] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.024.411 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[91], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.024.684 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[92], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc3.weight, [2]: param_moments.fc3.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_441}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.024.959 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[93], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.bias, [2]: param_moments.fc2.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_442}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.025.222 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[94], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc2.weight, [2]: param_moments.fc2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_443}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.025.488 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[95], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.bias, [2]: param_moments.fc1.bias, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_444}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.025.791 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[96], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_fc1.weight, [2]: param_moments.fc1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_445}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.026.052 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[97], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv2.weight, [2]: param_moments.conv2.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_446}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.026.199 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[98], node name[Default/StreamRecv-op16], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_520{[0]: ValueNode StreamRecv}], event id[7] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.026.405 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[99], node name[Default/network-TrainOneStepCell/grad_reducer-DistributedGradReducer/Mul-op0], logic id[4294967295], stream id[0], node info[@kernel_graph1:new_grad{[0]: ValueNode PrimFunc_Mul, [1]: new_grad, [2]: ValueNode Tensor(shape=[], dtype=Float32, value=0.25)}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.026.692 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[100], node name[Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7], logic id[4294967295], stream id[0], node info[@kernel_graph1:success{[0]: ValueNode ApplyMomentum, [1]: param_conv1.weight, [2]: param_moments.conv1.weight, [3]: param_learning_rate, [4]: new_grad, [5]: param_momentum, [6]: CNode_447}] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.026.818 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[101], node name[Default/StreamSend-op17], logic id[4294967295], stream id[2], node info[@kernel_graph1:CNode_521{[0]: ValueNode StreamSend}], event id[17] [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.026.919 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:988] PrintGraphExecuteOrder] Index[102], node name[Default/StreamRecv-op17], logic id[4294967295], stream id[0], node info[@kernel_graph1:CNode_522{[0]: ValueNode StreamRecv}], event id[17] [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.027.156 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:676] CompileGraphImpl] [PROF]PreprocessBeforeRun costs 45.913 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.027.414 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:722] CreateDeviceAddress] Status record: start create device address. graph id: 1 [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.030.124 [mindspore/ccsrc/runtime/device/device_address_utils.cc:498] CreateValueNodeDeviceAddress] No device address for value node:Default/data-0, debug name:ValueNode U [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.037.849 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:729] CreateDeviceAddress] Status record: end create device address. graph id: 1 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.038.022 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:684] CompileGraphImpl] [PROF]CreateDeviceAddress costs 10.591 msec. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.038.981 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1194] CacheGraphOutputToFrontNodeWithIndex] Get graph backend output nodes. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.039.140 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1202] CacheGraphOutputToFrontNodeWithIndex] Get graph front output nodes. [INFO] SESSION(1384462,ffff943eeec0,python):2025-07-15-11:45:35.039.476 [mindspore/ccsrc/backend/common/session/kernel_graph.cc:1220] CacheGraphOutputToFrontNodeWithIndex] Backend output: Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0 debug string: @kernel_graph1:CNode_468{[0]: ValueNode PrimFunc_ReduceMean, [1]: CNode_469, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[0]), [3]: ValueNode false} node ptr:0x44c3ebf0 with index: 0 map to front node: Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits-op0 debug string: @393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:equiv_2_x{[0]: ValueNode SparseSoftmaxCrossEntropyWithLogits, [1]: equiv_5_x, [2]: ValueNode_523} node ptr: 0x447092f0 with index: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.039.816 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:487] CompileGraph] Status record: end compile graph. graph id: 1 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.040.952 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:884] CompileGraphFromSegment] Compile cut segment, the cut node: @393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:ValueNode_524{[0]: ValueNode Return, [1]: CNode_436} [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.041.111 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1795] Build] [PROF]CompileSubGraph costs 835.644 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.041.174 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:249] ExportCompileCacheKBK] Compile cache: disable by front compile cache config. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.041.492 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1809] Build] Status record: construct the graph compiler info. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.041.588 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:957] Transform] Graph(kernel_graph_1) transforms actor begin, strategy:pipeline [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.042.402 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:490] InitGraphParameterStore] Init graph parameter store: kernel_graph_1, outer size: 19 [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.042.780 [mindspore/ccsrc/kernel/kernel_info.cc:126] OutputAddrExist] Index [0] has no kernel tensor. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.042.870 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:3778] PersistDeviceTensorForValueNode] The device address is not exist: ValueNode_525(U) [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.043.641 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:471] TryEnableKbkSubGraphExecMode] Enable kbk subgraph execute mode for actor set: kernel_graph_1, phase: train.1752551131985421056.281468467834128.0. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.044.070 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:391] TryEnableInputOptimize] Enable input optimize for actor set: kernel_graph_1, phase: train.1752551131985421056.281468467834128.0. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.044.228 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2317] BuildDataPrepareActorForGraphParameterStore] Create data prepare actor: kernel_graph_1_DataPrepareActor [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.044.389 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.044.525 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.044.598 [mindspore/ccsrc/runtime/graph_scheduler/actor/super_kernel_actor.cc:2024] SuperKernelActor] The kernel graph: kernel_graph1 phase: train.1752551131985421056.281468467834128.0., enable parallel dispatch kernel: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.044.730 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2273] BuildLoopCountActor] Create loop count actor: kernel_graph_1_LoopCountActor [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.044.791 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:2306] BuildOutputActor] Create output actor: kernel_graph_1_OutputActor [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.045.154 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1688] CacheGraphOutputToActor] Cache graph 1 output node:Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/Grad_SparseSoftmaxCrossEntropyWithLogits/ReduceMean-op0 debug string:@kernel_graph1:CNode_468{[0]: ValueNode PrimFunc_ReduceMean, [1]: CNode_469, [2]: ValueNode Tensor(shape=[1], dtype=Int64, value=[0]), [3]: ValueNode false} with index:0 to actor:kernel_graph1_SuperKernelActor, from front node:Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits-op0 debug string:@393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434:equiv_2_x{[0]: ValueNode SparseSoftmaxCrossEntropyWithLogits, [1]: equiv_5_x, [2]: ValueNode_523} with index:0 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.046.057 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.046.232 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.046.860 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0 add input node monad device tensor store:global_step [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.046.955 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op0 add input node monad device tensor store:Default/network-TrainOneStepCell/optimizer-Momentum/data-0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.049 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:fc3.bias [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.128 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:moments.fc3.bias [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.180 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.237 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op0 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.334 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:fc3.weight [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.382 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:moments.fc3.weight [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.428 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.482 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op1 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.541 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:fc2.bias [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.604 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:moments.fc2.bias [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.657 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.713 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op2 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.771 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:fc2.weight [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.845 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:moments.fc2.weight [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.897 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.047.953 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op3 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.010 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:fc1.bias [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.056 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:moments.fc1.bias [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.106 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.159 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op4 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.215 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:fc1.weight [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.269 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:moments.fc1.weight [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.323 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.380 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op5 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.437 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:conv2.weight [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.504 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:moments.conv2.weight [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.554 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.611 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op6 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.683 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:conv1.weight [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.737 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:moments.conv1.weight [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.781 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:learning_rate [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.832 [mindspore/ccsrc/runtime/graph_scheduler/scheduler_helper.cc:312] AddMonadDeviceTensorStore] kernel_graph1_SuperKernelActor, kernel:Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op7 add input node monad device tensor store:momentum [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.048.928 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1807] Link] [PROF]GraphSchedulerLinkSinkMode costs 3.018 msec. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.060.243 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.060.454 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.061.813 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.061.984 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.062.781 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:984] Transform] [PROF]GraphSchedulerLink costs 17.463 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.063.324 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 1_actor_set_kernel_graph_1_invalid_data_arrow_elimination in 9.03 us [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.063.429 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 2_actor_set_kernel_graph_1_multi_actor_fusion in 30.73 us [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.063.475 [mindspore/ccsrc/runtime/graph_scheduler/optimizer/optimizer.cc:54] Optimize] Run pass 3_actor_set_kernel_graph_1_batch_data_arrow_fusion in 2.23 us [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.063.521 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1001] Transform] Graph(kernel_graph_1) transforms actor end. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.063.592 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.063.694 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.063.766 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:358] Init] kernel_graph_1 has the parameter input num: 0 [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.063.810 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.063.897 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.063.944 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.030 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.165 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1827] Build] [PROF]GraphScheduler costs 22.578 msec. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.233 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:202] Refresh] Stream manager initialize, stream_size : 3. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.279 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:63] Resize] Task id on stream manager initialize : 1, stream_size : 3. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.341 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1839] Build] [PROF]compile_backend_graph costs 860.559 msec. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.444 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1842] Build] Status record: end compile function graph: 393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434, produce actor: kernel_graph_1, backend_graph_id: 1 [INFO] VM(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.528 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:122] Build] Backend build graph, backend name: , backend type: 0, backend graph id: 1 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.609 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end task_emit action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.693 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.770 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:329] SetLoopCount] Change vm_loop_flag to 0, set loop_size to 468 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.836 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:627] operator()] Status record: start execute action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.907 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:629] operator()] Status record: end execute action. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.064.954 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:635] operator()] Extra status record: total func graphs: 1, total nodes: 172 [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.065.016 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:717] Run] End [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.065.301 [mindspore/ccsrc/pipeline/jit/ps/pass_config.cc:244] SavePassesConfig] Running_passes: ['opt_a.r1.a_1.cast_eliminate', 'opt_a.r1.a_1.inline', 'opt_a.r1.a_1.partial_eliminate', 'opt_a.r1.a_1.tuple_list_get_item_depend_reorder', 'opt_a.r1.a_1.tuple_list_get_item_eliminator', 'opt_a.r1.a_2.depend_value_elim', 'opt_a.r1.a_3.replace_applicator', 'opt_a.r1.accelerated_algorithm.less_batch_normalization', 'opt_a.r1.j0.a_1', 'opt_a.r1.j0.a_2', 'opt_a.r1.j0.a_3', 'opt_a.r1.j0.accelerated_algorithm', 'opt_a.r1.j0.auto_parallel', 'opt_a.r1.j0.cse', 'opt_a.r1.j0.flash_sp', 'opt_a.r1.j0.flash_sp_send_recv_attached', 'opt_a.r1.j0.meta_fg_expand', 'opt_a.r1.j0.parallel', 'opt_a.r1.j0.renormalize', 'opt_a.r1.j0.switch_simplify', 'opt_a.r1.j0.updatestate_depend_eliminate', 'opt_a.r1.j0.updatestate_loads_eliminate', 'opt_a.r1.switch_simplify.switch_simplify', 'opt_a.r2.a_1.arithmetic_simplify', 'opt_a.r2.a_1.environ_get_set_eliminate', 'opt_a.r2.a_1.inline', 'opt_a.r2.a_1.tuple_list_get_item_eliminator', 'opt_a.r2.a_1.updatestate_useless_node_eliminater', 'opt_a.r2.j0.a_1', 'opt_a.r2.j0.auto_parallel', 'opt_a.r2.j0.cse', 'opt_a.r2.j0.flash_sp', 'opt_a.r2.j0.parallel', 'opt_a.r2.j0.renormalize', 'opt_a.r2.j0.updatestate_depend_eliminate', 'opt_a.r2.j0.updatestate_loads_eliminate', 'opt_a.r3.j0.auto_parallel', 'opt_a.r3.j0.parallel', 'opt_resolve.r1.j0.resolve', 'opt_resolve.r1.resolve.getattr_setattr_resolve'] [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.065.434 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:221] SaveCompiledGraph] Save compiled func graph(393_263_1_mindspore_train_dataset_helper__DataWrapper_construct_434) phase(train.1752551131985421056.281468467834128.0.)! [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.065.501 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:239] SaveCompiledGraph] End save compiled func graph! [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.065.562 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:425] CompileInner] [PROF]ParallelPostProcess costs 0.001 msec. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.065.605 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:269] CleanCompileRes] Clean compile resource start [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.080.570 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:290] CleanCompileRes] Clean compile resource end [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.080.746 [mindspore/ccsrc/pipeline/jit/ps/event_message_print.cc:42] PrintEventMessage] End compiling '_DataWrapper.construct'. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.080.830 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:434] CompileInner] [PROF]CleanCompileRes costs 15.192 msec. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.080.867 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:435] CompileInner] Finish compiling. [INFO] PIPELINE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.080.909 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:436] CompileInner] [PROF]compile_graph costs 2492.07 msec. [WARNING] ME(1384462:281473168895680,MainProcess):2025-07-15-11:45:35.878.57 [mindspore/parallel/_utils.py:516] You are suggested to use mindspore.context.set_auto_parallel_context(parameter_broadcast=True) or mindspore.common.set_seed() to share parameters among multi-devices. [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.090.765 [mindspore/core/utils/ms_context.cc:771] IsEnableInferBoost] MSContext enable ms infer boost [INFO] CORE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.090.957 [mindspore/core/utils/ms_context.cc:751] SetMsInternalEnableCustomKernelList] Enable internal kernel list: Add, AddLayerNorm, AddRmsNorm, AddRmsNormDynamicQuant, AddRmsNormQuantV2, FlashAttentionScore, InferenceMatmulSplit, InferenceSwiGLU, MatMul, MatMulAllReduce, MatMulElemwise, MatMulSigmoidCastAdd, PagedAttention, PagedAttentionMask, QbmmAdd, QbmmAllReduceAdd, RmsNorm, RmsNormQuant, Sub, SwiGLUDynamicQuant, [INFO] VM(1384462,ffff943eeec0,python):2025-07-15-11:45:35.091.101 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:131] Run] Backend run graph: 1, backend type: 0 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.091.210 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1993] Run] Status record: start run actor: kernel_graph_1 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.091.279 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:195] PreLaunchCommKernel] Pre launch comm kernel. [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.091.430 [mindspore/ccsrc/runtime/graph_scheduler/pre_launch_comm.cc:215] PreLaunchCommKernel] No hccl kernel to pre launch [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.091.504 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2009] Run] [PROF]PreLaunchCommKernel costs 0.207 msec. [INFO] UTILS(1384462,ffff943eeec0,python):2025-07-15-11:45:35.091.551 [mindspore/ccsrc/utils/signal_util.cc:51] RegisterGlobalSignalHandler] MSCONTEXT_REGISTER_INIT_FUNC register int handler [INFO] UTILS(1384462,ffff943eeec0,python):2025-07-15-11:45:35.091.593 [mindspore/ccsrc/utils/signal_util.cc:57] RegisterGlobalSignalHandler] The signal has been registered [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.091.682 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:1259] RefreshGraphParameterStore] Input args size: 19 [INFO] RUNTIME_FRAMEWORK(1384462,ffff943eeec0,python):2025-07-15-11:45:35.092.159 [mindspore/ccsrc/runtime/graph_scheduler/actor/data_prepare_actor.cc:760] PrepareDataForDeviceTensorStore] Prepare store data, input tensor size: 0, arg size: 19 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:35.092.423 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:743] GenerateAllocator] Generate allocator, is persistent : 1, stream id : 0. [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:35.092.588 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:755] operator()] Malloc mem block, is enable eager free : 0, is enable vmm : 1, size : 512, block size : 1073741824. [INFO] DEVICE(1384462,ffff943eeec0,python):2025-07-15-11:45:35.092.670 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.cc:205] AllocDeviceMem] VMM AllocDeviceMem size:61027123200, align_size:61027123200 [INFO] PRE_ACT(1384462,ffff943eeec0,python):2025-07-15-11:45:35.103.472 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:775] operator()] Malloc mem block : {"addr_":0x12c1c0000000,"size_":61027123200,"stream_id_":0,"min_addr_":0,"max_addr_":0}. [INFO] KERNEL(1384462,ffff943eeec0,python):2025-07-15-11:45:35.106.564 [mindspore/ccsrc/kernel/kernel_info.cc:126] OutputAddrExist] Index [0] has no kernel tensor. [INFO] PRE_ACT(1384462,fffddafdefa0,python):2025-07-15-11:45:35.109.787 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:743] GenerateAllocator] Generate allocator, is persistent : 0, stream id : 0. [INFO] PRE_ACT(1384462,fffddafdefa0,python):2025-07-15-11:45:35.109.984 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:755] operator()] Malloc mem block, is enable eager free : 0, is enable vmm : 1, size : 131584, block size : 1073741824. [INFO] DEVICE(1384462,fffddafdefa0,python):2025-07-15-11:45:35.110.037 [mindspore/ccsrc/plugin/res_manager/ascend/mem_manager/ascend_vmm_adapter.cc:205] AllocDeviceMem] VMM AllocDeviceMem size:61027123200, align_size:61027123200 [INFO] PRE_ACT(1384462,fffddafdefa0,python):2025-07-15-11:45:35.119.237 [mindspore/ccsrc/memory/mem_pool/abstract_dynamic_mem_pool.cc:775] operator()] Malloc mem block : {"addr_":0x12d000000000,"size_":61027123200,"stream_id_":0,"min_addr_":0,"max_addr_":0}. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:35.566.339 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:527] SendDataToAscend] channel_name: 21666248-612e-11f0-9d70-b04fa6070ebe; have_sent: 100; host_queue: 0, 0, 0, 0, 0, 0, 0, 0, 0, 16; device_queue: 91, 92, 93, 94, 95, 96, 97, 98, 99, 99; push_first_start_time -> push_first_end_time 2025-07-15-11:45:33.819.554 -> 2025-07-15-11:45:33.824.968 push_start_time -> push_end_time -> 2025-07-15-11:45:34.222.955 2025-07-15-11:45:34.227.480 -> 2025-07-15-11:45:34.228.266 2025-07-15-11:45:34.232.898 -> 2025-07-15-11:45:34.233.703 2025-07-15-11:45:34.239.735 -> 2025-07-15-11:45:34.240.539 2025-07-15-11:45:34.246.488 -> 2025-07-15-11:45:34.247.316 2025-07-15-11:45:34.247.903 -> 2025-07-15-11:45:34.248.500 2025-07-15-11:45:34.251.154 -> 2025-07-15-11:45:34.251.910 2025-07-15-11:45:34.254.589 -> 2025-07-15-11:45:34.255.336 2025-07-15-11:45:34.258.339 -> 2025-07-15-11:45:34.259.142 2025-07-15-11:45:34.261.677 -> 2025-07-15-11:45:34.262.406 2025-07-15-11:45:35.566.084 -> For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html. [INFO] MD(1384462,fffd2efdefa0,python):2025-07-15-11:45:35.566.962 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:550] SendDataToAscend] Have sent 101 batch(es) to device, channel name: 21666248-612e-11f0-9d70-b04fa6070ebe ...[INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.126.038 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_err_manager.cc:167] GetErrorMessage] The device is not set yet, no need to fetch error from device. [CRITICAL] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.128.250 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:67] InitDevice] Call aclrtSetDevice failed, ret[507033]. Got device count[8] and device id[1], please check if device id is valid. [INFO] DEBUG(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.128.519 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:116] TraceGraphEval] Length of analysis graph stack is empty. [INFO] DEBUG(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.128.588 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:671] GetEvalStackInfo] Get graph analysis information begin [INFO] DEBUG(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.128.625 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:674] GetEvalStackInfo] Length of analysis information stack is empty. Traceback (most recent call last): File "/home/jenkins/mindspore/testcases/testcases/tests/st/msrun/test_msrun_rank_table.py", line 124, in init() File "/home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/communication/management.py", line 203, in init init_hccl() RuntimeError: Call aclrtSetDevice failed, ret[507033]. Got device count[8] and device id[1], please check if device id is valid. ---------------------------------------------------- - C++ Call Stack: (For framework developers) ---------------------------------------------------- mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:67 InitDevice [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.130.482 [mindspore/ccsrc/pybind_api/init.cc:661] operator()] Start register... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.130.582 [mindspore/ccsrc/pybind_api/init.cc:664] operator()] Start mindspore.profiler... [INFO] ME(1384450:281473866002112,MainProcess):2025-07-15-11:48:00.130.676 [mindspore/profiler/envprofiler.py:83] analyse start [INFO] ME(1384450:281473866002112,MainProcess):2025-07-15-11:48:00.130.867 [mindspore/profiler/envprofiler.py:85] Profiler is not initialized, skip analyse. [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.130.966 [mindspore/ccsrc/pybind_api/init.cc:671] operator()] Start EmbeddingCacheScheduler... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.131.110 [mindspore/ccsrc/pybind_api/init.cc:678] operator()] Start releasing dataset handles... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.131.181 [mindspore/ccsrc/pybind_api/init.cc:681] operator()] End release dataset handles. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.131.231 [mindspore/ccsrc/distributed/cluster/topology/compute_graph_node.cc:159] StopHeartBeatThread] Start waiting for heart beat thread to end. [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.579.664 [mindspore/ccsrc/pybind_api/resource/manager.cc:256] ClearResAtexit] Pipeline clear all resource [WARNING] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.594.404 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_res_manager.cc:350] SyncAllStreams] The ascend_res_manager_ is nullptr in scenarios where it is not actually executed [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.594.540 [mindspore/ccsrc/pybind_api/resource/manager.cc:88] RecordExitStatus] Status record: system exit. [INFO] DEBUG(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.594.814 [mindspore/ccsrc/common/debug/env_config_parser.cc:152] ParseFromFile] The 'env_config_path' in 'mindspore.context.set_context(env_config_path={path})' is empty. [INFO] ME(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.594.940 [mindspore/core/mindrt/src/actor/actormgr.cc:165] Finalize] mindrt Actors finish exiting. [INFO] ME(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.594.975 [mindspore/core/mindrt/src/actor/actormgr.cc:168] Finalize] mindrt Threads finish exiting. [INFO] ME(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.595.006 [mindspore/core/mindrt/src/actor/actormgr.cc:179] Finalize] mindrt IOMGRS finish exiting. [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.595.908 [mindspore/ccsrc/pybind_api/resource/manager.cc:138] ClearResPart1] Start Finalize StreamSynchronizer... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.596.018 [mindspore/ccsrc/pybind_api/resource/manager.cc:140] ClearResPart1] End Finalize StreamSynchronizer... [INFO] PIPELINE(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.599.239 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:208] ClearRes] Clean Graph executor resource! [INFO] PIPELINE(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.599.415 [mindspore/ccsrc/pipeline/jit/ps/executor/jit_executor_py.cc:366] ClearRes] Clean JIT executor resource! [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.599.527 [mindspore/ccsrc/pybind_api/resource/manager.cc:155] ClearResPart2] Start clear PyNativeExecutor... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.600.861 [mindspore/ccsrc/pybind_api/resource/manager.cc:157] ClearResPart2] End clear PyNativeExecutor. [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.600.963 [mindspore/ccsrc/pybind_api/resource/manager.cc:159] ClearResPart2] Start clear ConfigManager... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.600.999 [mindspore/ccsrc/pybind_api/resource/manager.cc:161] ClearResPart2] End clear ConfigManager. [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.601.556 [mindspore/ccsrc/common/thread_pool.cc:41] ThreadPool] Set max_thread_num_ to 4 [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.601.662 [mindspore/ccsrc/pybind_api/resource/manager.cc:166] ClearResPart2] Start clear BackendManager... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.601.756 [mindspore/ccsrc/pybind_api/resource/manager.cc:168] ClearResPart2] End clear BackendManager... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.601.798 [mindspore/ccsrc/pybind_api/resource/manager.cc:170] ClearResPart2] Start clear device context... [INFO] ME(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.601.836 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:401] ClearDeviceContexts] Release device Ascend_1 [INFO] ME(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.602.091 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:401] ClearDeviceContexts] Release device CPU_0 [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.602.183 [mindspore/ccsrc/pybind_api/resource/manager.cc:172] ClearResPart2] End clear device context. [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.602.225 [mindspore/ccsrc/pybind_api/resource/manager.cc:174] ClearResPart2] Start clear CollectiveManager... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.602.264 [mindspore/ccsrc/pybind_api/resource/manager.cc:177] ClearResPart2] End clear CollectiveManager. [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.602.342 [mindspore/ccsrc/pybind_api/resource/manager.cc:179] ClearResPart2] Start clear AnalysisResultCacheMgr... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.602.555 [mindspore/ccsrc/pybind_api/resource/manager.cc:181] ClearResPart2] End clear AnalysisResultCacheMgr. [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.602.607 [mindspore/ccsrc/pybind_api/resource/manager.cc:183] ClearResPart2] Start clear AnalysisContext... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.602.788 [mindspore/ccsrc/pybind_api/resource/manager.cc:185] ClearResPart2] End clear AnalysisContext... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.602.830 [mindspore/ccsrc/pybind_api/resource/manager.cc:187] ClearResPart2] Start clear AnalysisSchedule... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.614.643 [mindspore/ccsrc/pybind_api/resource/manager.cc:189] ClearResPart2] End clear AnalysisSchedule... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.614.943 [mindspore/ccsrc/pybind_api/resource/manager.cc:201] ClearResPart3] Start clear ClearObjectCache... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.614.991 [mindspore/ccsrc/pybind_api/resource/manager.cc:203] ClearResPart3] End clear ClearObjectCache... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.019 [mindspore/ccsrc/pybind_api/resource/manager.cc:205] ClearResPart3] Start clear Parser... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.154 [mindspore/ccsrc/pybind_api/resource/manager.cc:207] ClearResPart3] End clear Parser... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.182 [mindspore/ccsrc/pybind_api/resource/manager.cc:209] ClearResPart3] Start ClearTraceStack... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.209 [mindspore/ccsrc/pybind_api/resource/manager.cc:211] ClearResPart3] End ClearTraceStack... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.232 [mindspore/ccsrc/pybind_api/resource/manager.cc:213] ClearResPart3] Start clear InterpretNodeRecorder... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.259 [mindspore/ccsrc/pybind_api/resource/manager.cc:215] ClearResPart3] End clear InterpretNodeRecorder... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.282 [mindspore/ccsrc/pybind_api/resource/manager.cc:217] ClearResPart3] Start clear parallel::entire_costgraph... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.381 [mindspore/ccsrc/pybind_api/resource/manager.cc:219] ClearResPart3] End clear parallel::entire_costgraph... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.410 [mindspore/ccsrc/pybind_api/resource/manager.cc:221] ClearResPart3] Start clear ParserDefaultObjects ... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.662 [mindspore/ccsrc/pybind_api/resource/manager.cc:223] ClearResPart3] End clear ParserDefaultObjects... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.702 [mindspore/ccsrc/pybind_api/resource/manager.cc:229] ClearResPart3] Start clear python_adapter... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.729 [mindspore/ccsrc/pybind_api/resource/manager.cc:231] ClearResPart3] End clear python_adapter. [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.615.754 [mindspore/ccsrc/pybind_api/resource/manager.cc:235] ClearSingleton] Start clear singleton... [INFO] COMMON(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.616.669 [mindspore/ccsrc/pybind_api/resource/manager.cc:252] ClearSingleton] End clear singleton. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:48:01.740.422 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:563] Finalize] Delete send event loop [INFO] DISTRIBUTED(1384450,ffff5748efa0,python):2025-07-15-11:48:01.742.706 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:82] EventLoopRun] Event epoll loop run end [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:48:01.743.319 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:210] Finalize] Stop loop succ [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:48:01.743.387 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:570] Finalize] Delete recv event loop [INFO] DISTRIBUTED(1384450,ffff57c9efa0,python):2025-07-15-11:48:01.746.657 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:82] EventLoopRun] Event epoll loop run end [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:48:01.747.268 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:210] Finalize] Stop loop succ [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:48:01.747.334 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:584] Finalize] Delete connection pool. [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:48:01.747.543 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:563] Finalize] Delete send event loop [INFO] DISTRIBUTED(1384450,ffff5646efa0,python):2025-07-15-11:48:01.754.676 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:82] EventLoopRun] Event epoll loop run end [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:48:01.758.963 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:210] Finalize] Stop loop succ [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:48:01.759.082 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:570] Finalize] Delete recv event loop [INFO] DISTRIBUTED(1384450,ffff56c7efa0,python):2025-07-15-11:48:01.759.192 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:82] EventLoopRun] Event epoll loop run end [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:48:01.759.620 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:210] Finalize] Stop loop succ [INFO] DISTRIBUTED(1384450,ffffbdcbeec0,python):2025-07-15-11:48:01.759.688 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:584] Finalize] Delete connection pool. [ERROR] ME(1384256:281473552019136,MainProcess):2025-07-15-11:48:03.834.296 [mindspore/parallel/cluster/process_entity/_api.py:363] Worker process 1384450 exit with exception. Error code: 1. [WARNING] ME(1384256:281473552019136,MainProcess):2025-07-15-11:48:03.834.827 [mindspore/parallel/cluster/process_entity/_api.py:369] There's worker exits with exception, kill all other workers. [ERROR] ME(1384256:281473552019136,MainProcess):2025-07-15-11:48:36.974.796 [mindspore/parallel/cluster/process_entity/_api.py:382] Scheduler process 1384444 exit with exception. [INFO] ME(1384256:281473552019136,MainProcess):2025-07-15-11:48:36.976.134 [mindspore/parallel/cluster/process_entity/_api.py:385] Analyzing exception log... [ERROR] ME(1384256:281473552019136,MainProcess):2025-07-15-11:48:37.106.60 [mindspore/parallel/cluster/process_entity/_api.py:603] Time out nodes are ['1'] ./rank_table_reassignment/worker_1.log-124-[INFO] CORE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.076.943 [mindspore/core/utils/ms_context.cc:463] PrintJitLevelAndExecMode] The jit_level is: O0, and enable kernelbykernel executor. ./rank_table_reassignment/worker_1.log-125-[INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.077.007 [mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc:119] Initialize] The current overflow detection mode is INFNAN. ./rank_table_reassignment/worker_1.log-126-[INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.077.272 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:106] LoadResManager] HalResManager dlopen ascend lib name: libmindspore_ascend_res_manager.so ./rank_table_reassignment/worker_1.log-127-[INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.077.378 [mindspore/ccsrc/runtime/device/res_manager/hal_res_manager.cc:128] LoadResManager] HalResManager dlopen current device lib name: /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/lib/plugin/ascend/libmindspore_ascend_res_manager.so ./rank_table_reassignment/worker_1.log-128-[INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:45:15.077.676 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:58] InitDevice] Enter SetRtDevice, current initialize device number:0 ./rank_table_reassignment/worker_1.log:129:[INFO] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.126.038 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_err_manager.cc:167] GetErrorMessage] The device is not set yet, no need to fetch error from device. ./rank_table_reassignment/worker_1.log:130:[CRITICAL] DEVICE(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.128.250 [mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:67] InitDevice] Call aclrtSetDevice failed, ret[507033]. Got device count[8] and device id[1], please check if device id is valid. ./rank_table_reassignment/worker_1.log-131-[INFO] DEBUG(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.128.519 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:116] TraceGraphEval] Length of analysis graph stack is empty. ./rank_table_reassignment/worker_1.log-132-[INFO] DEBUG(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.128.588 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:671] GetEvalStackInfo] Get graph analysis information begin ./rank_table_reassignment/worker_1.log-133-[INFO] DEBUG(1384450,ffffbdcbeec0,python):2025-07-15-11:48:00.128.625 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:674] GetEvalStackInfo] Length of analysis information stack is empty. ./rank_table_reassignment/worker_1.log:134:Traceback (most recent call last): ./rank_table_reassignment/worker_1.log-135- File "/home/jenkins/mindspore/testcases/testcases/tests/st/msrun/test_msrun_rank_table.py", line 124, in ./rank_table_reassignment/worker_1.log-136- init() ./rank_table_reassignment/worker_1.log-137- File "/home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/communication/management.py", line 203, in init ./rank_table_reassignment/worker_1.log-138- init_hccl() ./rank_table_reassignment/worker_1.log:139:RuntimeError: Call aclrtSetDevice failed, ret[507033]. Got device count[8] and device id[1], please check if device id is valid. ./rank_table_reassignment/worker_1.log-140- ./rank_table_reassignment/worker_1.log-141----------------------------------------------------- ./rank_table_reassignment/worker_1.log-142-- C++ Call Stack: (For framework developers) ./rank_table_reassignment/worker_1.log-143----------------------------------------------------- ./rank_table_reassignment/worker_1.log-144-mindspore/ccsrc/plugin/res_manager/ascend/hal_manager/ascend_hal_manager.cc:67 InitDevice -- ./rank_table_reassignment/scheduler.log-168-[WARNING] DISTRIBUTED(1384444,ffff8adaeec0,python):2025-07-15-11:48:20.143.715 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:154] Finalize] This log means the cluster is successfully created. Retry to finalize the node and exit cluster... ./rank_table_reassignment/scheduler.log-169-[WARNING] DISTRIBUTED(1384444,ffff8adaeec0,python):2025-07-15-11:48:25.143.953 [mindspore/ccsrc/distributed/cluster/topology/meta_server_node.cc:98] Finalize] The meta server node can not be finalized because there are still 4 alive nodes. ./rank_table_reassignment/scheduler.log-170-[WARNING] DISTRIBUTED(1384444,ffff8adaeec0,python):2025-07-15-11:48:25.144.058 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:154] Finalize] This log means the cluster is successfully created. Retry to finalize the node and exit cluster... ./rank_table_reassignment/scheduler.log-171-[WARNING] DISTRIBUTED(1384444,ffff8adaeec0,python):2025-07-15-11:48:30.144.289 [mindspore/ccsrc/distributed/cluster/topology/meta_server_node.cc:98] Finalize] The meta server node can not be finalized because there are still 4 alive nodes. ./rank_table_reassignment/scheduler.log-172-[WARNING] DISTRIBUTED(1384444,ffff8adaeec0,python):2025-07-15-11:48:30.144.397 [mindspore/ccsrc/distributed/cluster/cluster_context.cc:154] Finalize] This log means the cluster is successfully created. Retry to finalize the node and exit cluster... ./rank_table_reassignment/scheduler.log:173:[ERROR] DISTRIBUTED(1384444,ffff1f7eefa0,python):2025-07-15-11:48:31.378.341 [mindspore/ccsrc/distributed/cluster/topology/meta_server_node.cc:511] UpdateTopoState] The node: 1 is timed out. It may exit with exception, please check this node's log. ./rank_table_reassignment/scheduler.log:174:[CRITICAL] DISTRIBUTED(1384444,ffff1f7eefa0,python):2025-07-15-11:48:31.379.533 [mindspore/ccsrc/distributed/cluster/topology/meta_server_node.cc:517] UpdateTopoState] The total number of timed out node is 1. Timed out node list is: [const vector]{1}, worker 1 is the first one timed out, please check its log. ./rank_table_reassignment/scheduler.log-175-[INFO] DEBUG(1384444,ffff1f7eefa0,python):2025-07-15-11:48:31.379.771 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:116] TraceGraphEval] Length of analysis graph stack is empty. ./rank_table_reassignment/scheduler.log-176-[INFO] DEBUG(1384444,ffff1f7eefa0,python):2025-07-15-11:48:31.379.858 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:671] GetEvalStackInfo] Get graph analysis information begin ./rank_table_reassignment/scheduler.log-177-[INFO] DEBUG(1384444,ffff1f7eefa0,python):2025-07-15-11:48:31.379.892 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:674] GetEvalStackInfo] Length of analysis information stack is empty. ./rank_table_reassignment/scheduler.log:178:[ERROR] DISTRIBUTED(1384444,ffff8adaeec0,python):2025-07-15-11:48:35.146.685 [mindspore/ccsrc/distributed/cluster/topology/meta_server_node.cc:103] Finalize] There are 1 abnormal compute graph nodes. ./rank_table_reassignment/scheduler.log-179-[INFO] DISTRIBUTED(1384444,ffff8adaeec0,python):2025-07-15-11:48:35.146.788 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:563] Finalize] Delete send event loop ./rank_table_reassignment/scheduler.log-180-[INFO] DISTRIBUTED(1384444,ffff1fffefa0,python):2025-07-15-11:48:35.147.457 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:82] EventLoopRun] Event epoll loop run end ./rank_table_reassignment/scheduler.log-181-[INFO] DISTRIBUTED(1384444,ffff8adaeec0,python):2025-07-15-11:48:35.148.576 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:210] Finalize] Stop loop succ ./rank_table_reassignment/scheduler.log-182-[INFO] DISTRIBUTED(1384444,ffff8adaeec0,python):2025-07-15-11:48:35.148.634 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:570] Finalize] Delete recv event loop ./rank_table_reassignment/scheduler.log-183-[INFO] DISTRIBUTED(1384444,ffff24d7efa0,python):2025-07-15-11:48:35.151.422 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:82] EventLoopRun] Event epoll loop run end ./rank_table_reassignment/scheduler.log-184-[INFO] DISTRIBUTED(1384444,ffff8adaeec0,python):2025-07-15-11:48:35.167.988 [mindspore/ccsrc/distributed/rpc/tcp/event_loop.cc:210] Finalize] Stop loop succ ./rank_table_reassignment/scheduler.log-185-[INFO] DISTRIBUTED(1384444,ffff8adaeec0,python):2025-07-15-11:48:35.168.159 [mindspore/ccsrc/distributed/rpc/tcp/tcp_comm.cc:584] Finalize] Delete connection pool. ./rank_table_reassignment/scheduler.log:186:Traceback (most recent call last): ./rank_table_reassignment/scheduler.log-187- File "/home/jenkins/mindspore/testcases/testcases/tests/st/msrun/test_msrun_rank_table.py", line 124, in ./rank_table_reassignment/scheduler.log-188- init() ./rank_table_reassignment/scheduler.log-189- File "/home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/communication/management.py", line 213, in init ./rank_table_reassignment/scheduler.log-190- init_cluster() ./rank_table_reassignment/scheduler.log:191:RuntimeError: The total number of timed out node is 1. Timed out node list is: [const vector]{1}, worker 1 is the first one timed out, please check its log. ./rank_table_reassignment/scheduler.log-192- ./rank_table_reassignment/scheduler.log-193----------------------------------------------------- ./rank_table_reassignment/scheduler.log-194-- C++ Call Stack: (For framework developers) ./rank_table_reassignment/scheduler.log-195----------------------------------------------------- ./rank_table_reassignment/scheduler.log-196-mindspore/ccsrc/distributed/cluster/topology/meta_server_node.cc:517 UpdateTopoState Traceback (most recent call last): File "/home/jenkins/anaconda3/envs/ci39/bin/msrun", line 8, in sys.exit(main()) File "/home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/parallel/cluster/run.py", line 191, in main run(args) File "/home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/parallel/cluster/run.py", line 185, in run process_manager.run() File "/home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/parallel/cluster/process_entity/_api.py", line 268, in run self.join_processes() File "/home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/parallel/cluster/process_entity/_api.py", line 387, in join_processes raise RuntimeError("Distributed job exited with exception. Please check logs in " RuntimeError: Distributed job exited with exception. Please check logs in directory: ./rank_table_reassignment. [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.120.178 [mindspore/ccsrc/pybind_api/init.cc:661] operator()] Start register... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.122.645 [mindspore/ccsrc/pybind_api/init.cc:664] operator()] Start mindspore.profiler... [INFO] ME(1384256:281473552019136,MainProcess):2025-07-15-11:48:37.127.740 [mindspore/profiler/envprofiler.py:83] analyse start [INFO] ME(1384256:281473552019136,MainProcess):2025-07-15-11:48:37.128.840 [mindspore/profiler/envprofiler.py:85] Profiler is not initialized, skip analyse. [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.129.075 [mindspore/ccsrc/pybind_api/init.cc:671] operator()] Start EmbeddingCacheScheduler... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.134.654 [mindspore/ccsrc/pybind_api/init.cc:678] operator()] Start releasing dataset handles... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.136.893 [mindspore/ccsrc/pybind_api/init.cc:681] operator()] End release dataset handles. [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.137.933 [mindspore/ccsrc/pybind_api/resource/manager.cc:256] ClearResAtexit] Pipeline clear all resource [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.160.310 [mindspore/ccsrc/pybind_api/resource/manager.cc:88] RecordExitStatus] Status record: system exit. [INFO] DEBUG(1384256,ffffab14eec0,python):2025-07-15-11:48:37.163.906 [mindspore/ccsrc/common/debug/env_config_parser.cc:152] ParseFromFile] The 'env_config_path' in 'mindspore.context.set_context(env_config_path={path})' is empty. [INFO] ME(1384256,ffffab14eec0,python):2025-07-15-11:48:37.165.579 [mindspore/core/mindrt/src/actor/actormgr.cc:165] Finalize] mindrt Actors finish exiting. [INFO] ME(1384256,ffffab14eec0,python):2025-07-15-11:48:37.165.674 [mindspore/core/mindrt/src/actor/actormgr.cc:168] Finalize] mindrt Threads finish exiting. [INFO] ME(1384256,ffffab14eec0,python):2025-07-15-11:48:37.165.705 [mindspore/core/mindrt/src/actor/actormgr.cc:179] Finalize] mindrt IOMGRS finish exiting. [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.177.615 [mindspore/ccsrc/pybind_api/resource/manager.cc:138] ClearResPart1] Start Finalize StreamSynchronizer... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.177.934 [mindspore/ccsrc/pybind_api/resource/manager.cc:140] ClearResPart1] End Finalize StreamSynchronizer... [INFO] PIPELINE(1384256,ffffab14eec0,python):2025-07-15-11:48:37.254.282 [mindspore/ccsrc/pipeline/jit/ps/executor/graph_executor_py.cc:208] ClearRes] Clean Graph executor resource! [INFO] PIPELINE(1384256,ffffab14eec0,python):2025-07-15-11:48:37.255.321 [mindspore/ccsrc/pipeline/jit/ps/executor/jit_executor_py.cc:366] ClearRes] Clean JIT executor resource! [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.256.173 [mindspore/ccsrc/pybind_api/resource/manager.cc:155] ClearResPart2] Start clear PyNativeExecutor... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.275.757 [mindspore/ccsrc/pybind_api/resource/manager.cc:157] ClearResPart2] End clear PyNativeExecutor. [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.275.919 [mindspore/ccsrc/pybind_api/resource/manager.cc:159] ClearResPart2] Start clear ConfigManager... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.275.954 [mindspore/ccsrc/pybind_api/resource/manager.cc:161] ClearResPart2] End clear ConfigManager. [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.276.291 [mindspore/ccsrc/common/thread_pool.cc:41] ThreadPool] Set max_thread_num_ to 4 [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.277.500 [mindspore/ccsrc/pybind_api/resource/manager.cc:166] ClearResPart2] Start clear BackendManager... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.278.012 [mindspore/ccsrc/pybind_api/resource/manager.cc:168] ClearResPart2] End clear BackendManager... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.278.095 [mindspore/ccsrc/pybind_api/resource/manager.cc:170] ClearResPart2] Start clear device context... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.278.144 [mindspore/ccsrc/pybind_api/resource/manager.cc:172] ClearResPart2] End clear device context. [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.278.184 [mindspore/ccsrc/pybind_api/resource/manager.cc:174] ClearResPart2] Start clear CollectiveManager... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.278.996 [mindspore/ccsrc/pybind_api/resource/manager.cc:177] ClearResPart2] End clear CollectiveManager. [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.279.113 [mindspore/ccsrc/pybind_api/resource/manager.cc:179] ClearResPart2] Start clear AnalysisResultCacheMgr... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.280.512 [mindspore/ccsrc/pybind_api/resource/manager.cc:181] ClearResPart2] End clear AnalysisResultCacheMgr. [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.280.636 [mindspore/ccsrc/pybind_api/resource/manager.cc:183] ClearResPart2] Start clear AnalysisContext... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.281.511 [mindspore/ccsrc/pybind_api/resource/manager.cc:185] ClearResPart2] End clear AnalysisContext... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.281.616 [mindspore/ccsrc/pybind_api/resource/manager.cc:187] ClearResPart2] Start clear AnalysisSchedule... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.282.596 [mindspore/ccsrc/pybind_api/resource/manager.cc:189] ClearResPart2] End clear AnalysisSchedule... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.285.280 [mindspore/ccsrc/pybind_api/resource/manager.cc:201] ClearResPart3] Start clear ClearObjectCache... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.285.604 [mindspore/ccsrc/pybind_api/resource/manager.cc:203] ClearResPart3] End clear ClearObjectCache... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.285.644 [mindspore/ccsrc/pybind_api/resource/manager.cc:205] ClearResPart3] Start clear Parser... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.286.859 [mindspore/ccsrc/pybind_api/resource/manager.cc:207] ClearResPart3] End clear Parser... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.286.946 [mindspore/ccsrc/pybind_api/resource/manager.cc:209] ClearResPart3] Start ClearTraceStack... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.287.749 [mindspore/ccsrc/pybind_api/resource/manager.cc:211] ClearResPart3] End ClearTraceStack... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.287.838 [mindspore/ccsrc/pybind_api/resource/manager.cc:213] ClearResPart3] Start clear InterpretNodeRecorder... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.288.056 [mindspore/ccsrc/pybind_api/resource/manager.cc:215] ClearResPart3] End clear InterpretNodeRecorder... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.288.105 [mindspore/ccsrc/pybind_api/resource/manager.cc:217] ClearResPart3] Start clear parallel::entire_costgraph... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.288.729 [mindspore/ccsrc/pybind_api/resource/manager.cc:219] ClearResPart3] End clear parallel::entire_costgraph... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.288.833 [mindspore/ccsrc/pybind_api/resource/manager.cc:221] ClearResPart3] Start clear ParserDefaultObjects ... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.290.069 [mindspore/ccsrc/pybind_api/resource/manager.cc:223] ClearResPart3] End clear ParserDefaultObjects... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.290.308 [mindspore/ccsrc/pybind_api/resource/manager.cc:229] ClearResPart3] Start clear python_adapter... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.290.351 [mindspore/ccsrc/pybind_api/resource/manager.cc:231] ClearResPart3] End clear python_adapter. [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.290.386 [mindspore/ccsrc/pybind_api/resource/manager.cc:235] ClearSingleton] Start clear singleton... [INFO] COMMON(1384256,ffffab14eec0,python):2025-07-15-11:48:37.299.971 [mindspore/ccsrc/pybind_api/resource/manager.cc:252] ClearSingleton] End clear singleton. F =================================== FAILURES =================================== __________________________ test_msrun_with_rank_table __________________________ @arg_mark(plat_marks=['platform_ascend910b'], level_mark='level1', card_mark='allcards', essential_mark='essential') def test_msrun_with_rank_table(): """ Feature: 'msrun' launch utility. Description: Launch distributed training job with dynamic cluster using msrun with argument "--rank_table_file rank_table_4p.json", then check whether rank ids are reassigned based on the rank table file and whether initializing hccl comm by rank table is called. Expectation: All workers are successfully spawned, their rank ids and device ids are assigned correctly. """ # get a list of real device ips in context. device_ips = _get_device_ips() # create rank table file for 4 devices with rearranged rank ids. rank_table_dict_4p = { "version": "1.0", "server_count": "1", "server_list": [{ "server_id": "10.*.*.*", "device": [{"device_id": "0", "device_ip": "192.1.*.6", "rank_id": "3"}, {"device_id": "1", "device_ip": "192.2.*.6", "rank_id": "2"}, {"device_id": "2", "device_ip": "192.3.*.6", "rank_id": "0"}, {"device_id": "3", "device_ip": "192.4.*.6", "rank_id": "1"}], "host_nic_ip": "reserve", "pod_ip": "127.0.0.1" }], "status": "completed" } rank_table_dict_4p["server_list"][0]["device"][0]["device_ip"] = device_ips[0] rank_table_dict_4p["server_list"][0]["device"][1]["device_ip"] = device_ips[1] rank_table_dict_4p["server_list"][0]["device"][2]["device_ip"] = device_ips[2] rank_table_dict_4p["server_list"][0]["device"][3]["device_ip"] = device_ips[3] _create_rank_table_file("rank_table_4p.json", rank_table_dict_4p) ms.set_context(jit_level='O0') os.environ['GLOG_v'] = str(1) return_code = os.system( "msrun --worker_num=4 --local_worker_num=4 --master_addr=127.0.0.1 --master_port=10969 "\ "--join=True --rank_table_file=rank_table_4p.json --log_dir=./rank_table_reassignment "\ "test_msrun_rank_table.py --device_target=Ascend --dataset_path=/home/workspace/mindspore_dataset/mnist" ) > assert return_code == 0 E assert 256 == 0 test_entry_msrun.py:127: AssertionError =============================== warnings summary =============================== ../../../../../../.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/.local/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perlayer") -- Docs: https://docs.pytest.org/en/stable/warnings.html =========================== short test summary info ============================ FAILED test_entry_msrun.py::test_msrun_with_rank_table - assert 256 == 0 ================== 1 failed, 22 warnings in 242.50s (0:04:02) ==================