[WARNING] ME(170847:281473146187568,MainProcess):2026-01-29-17:37:38.550.501 [mindspore/context.py:1334] 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. [WARNING] ME(170847:281473146187568,MainProcess):2026-01-29-17:37:38.551.433 [mindspore/context.py:1334] For 'context.set_context', the parameter 'device_id' will be deprecated and removed in a future version. Please use the api mindspore.set_device() instead. ==================================================Ascend ============================= test session starts ============================== platform linux -- Python 3.9.19, pytest-6.2.5, py-1.11.0, pluggy-1.5.0 rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st/hyper_offload/memory_ops, configfile: ../../../../../../../sault/virtual_test/virtualenv_002/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 1 item test_hyper_offload_ops.py TotalTime = 0.286114, [31] [bootstrap]: 0.00063196 [type_inference]: 0.246995 [event_method]: 1.93e-05 [auto_monad]: 0.00015704 [graph_reusing]: 4.99998e-06 [pre_auto_parallel]: 1.251e-05 [py_interpret_to_execute]: 3.103e-05 [rewriter_before_opt_a]: 7.065e-05 [expand_dump_flag]: 3.03998e-06 [jit_opt_a]: 0.0348721, [2] [Cycle 1]: 0.00189973, [27] [switch_simplify]: 6.293e-05 [loop_unroll]: 1.576e-05 [a_1]: 0.00044215 [with_stream_mark]: 3.131e-05 [recompute_prepare]: 1.112e-05 [updatestate_depend_eliminate]: 8.64003e-06 [updatestate_assign_eliminate]: 6.79999e-06 [updatestate_loads_eliminate]: 6.53998e-06 [parameter_eliminate]: 2.02001e-06 [specialize_transform]: 1.088e-05 [updatestate_useless_node_eliminater]: 1.372e-05 [accelerated_algorithm]: 9.81e-06 [meta_shard_fg_expand]: 3.43e-06 [get_grad_eliminate_]: 8.99998e-06 [merge_forward]: 6.66999e-06 [cell_reuse_recompute_pass]: 1.22e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.685e-05 [j_node_and_user_rematch]: 2.18e-05 [meta_fg_expand]: 4.12998e-06 [replace_old_param]: 2.489e-05 [inline_without_move]: 9.79e-06 [renormalize]: 0.00083219 [add_forward_monad_depend]: 8.38999e-06 [auto_monad_grad]: 2.29001e-06 [auto_monad_eliminator]: 2.475e-05 [cse]: 6.485e-05 [replace_applicator]: 1.836e-05 [Cycle 2]: 0.00055665, [27] [switch_simplify]: 1.1e-05 [loop_unroll]: 8.85999e-06 [a_1]: 0.00021662 [with_stream_mark]: 1.268e-05 [recompute_prepare]: 9.37001e-06 [updatestate_depend_eliminate]: 6.53998e-06 [updatestate_assign_eliminate]: 5.70001e-06 [updatestate_loads_eliminate]: 6.06e-06 [parameter_eliminate]: 1.00999e-06 [specialize_transform]: 9.65002e-06 [updatestate_useless_node_eliminater]: 1.435e-05 [accelerated_algorithm]: 8.92999e-06 [meta_shard_fg_expand]: 2.03002e-06 [get_grad_eliminate_]: 8.54002e-06 [merge_forward]: 5.44e-06 [cell_reuse_recompute_pass]: 1.24e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.03e-05 [j_node_and_user_rematch]: 1.594e-05 [meta_fg_expand]: 3.45003e-06 [replace_old_param]: 1.144e-05 [inline_without_move]: 8.69998e-06 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 1.02e-06 [auto_monad_grad]: 1.74e-06 [auto_monad_eliminator]: 1.369e-05 [cse]: 2.402e-05 [replace_applicator]: 9.32001e-06 [py_interpret_to_execute_after_opt_a]: 1.539e-05 [rewriter_after_opt_a]: 0.00019679 [convert_after_rewriter]: 1.424e-05 [order_py_execute_after_rewriter]: 7.98001e-06 [mutable_eliminate]: 0.00067559 [jit_opt_b]: 7.662e-05, [1] [Cycle 1]: 6.874e-05, [2] [frontend_op_eliminate]: 2.879e-05 [inline_after_opt_a]: 2.757e-05 [cconv]: 2.762e-05 [loop_unroll]: 0.00046903 [jit_opt_after_cconv]: 0.00023357, [1] [Cycle 1]: 0.00022675, [11] [c_1]: 6.083e-05 [parameter_eliminate]: 2.64001e-06 [updatestate_depend_eliminate]: 1.158e-05 [updatestate_assign_eliminate]: 5.99999e-06 [updatestate_loads_eliminate]: 5.17e-06 [cse]: 3.853e-05 [call_graph_tuple_transform]: 2.659e-05 [tuple_list_get_item_eliminator]: 1.003e-05 [none_parameter_eliminate]: 1.87001e-06 [renormalize]: 5.10016e-07 [switch_simplify]: 9.49999e-06 [remove_dup_value]: 1.794e-05 [partial_unused_args_eliminate]: 2.21e-06 [environ_conv]: 2.06e-05 [add_recomputation]: 8.928e-05 [cse_after_recomputation]: 3.606e-05, [1] [Cycle 1]: 2.98e-05, [1] [cse]: 2.304e-05 [auto_monad_reorder]: 3.971e-05 [get_jit_bprop_graph]: 2.03002e-06 [rewriter_after_jit_bprop_graph]: 4.56002e-06 [opt_after_jit_grad]: 0.0004918 [symbol_engine_optimizer]: 0.00010366, [1] [Cycle 1]: 9.676e-05, [6] [build]: 6.46999e-06 [elim_shapecalc]: 1.308e-05 [elim_not_effective]: 2.15e-05 [opt_reshape]: 9.53997e-06 [fold_const_symbol]: 1.61e-05 [renormalize]: 1.05001e-06 [process_offload_annotation]: 1.529e-05 [validate]: 6.667e-05 Sums bootstrap : 0.000632s : 0.25% type_inference : 0.246995s : 97.81% event_method : 0.000019s : 0.01% auto_monad : 0.000157s : 0.06% graph_reusing : 0.000005s : 0.00% pre_auto_parallel : 0.000013s : 0.00% py_interpret_to_execute : 0.000031s : 0.01% rewriter_before_opt_a : 0.000071s : 0.03% expand_dump_flag : 0.000003s : 0.00% jit_opt_a.switch_simplify : 0.000074s : 0.03% jit_opt_a.loop_unroll : 0.000025s : 0.01% jit_opt_a.a_1 : 0.000659s : 0.26% jit_opt_a.with_stream_mark : 0.000044s : 0.02% jit_opt_a.recompute_prepare : 0.000020s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000015s : 0.01% jit_opt_a.updatestate_assign_eliminate : 0.000013s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000013s : 0.00% jit_opt_a.parameter_eliminate : 0.000003s : 0.00% jit_opt_a.specialize_transform : 0.000021s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000028s : 0.01% jit_opt_a.accelerated_algorithm : 0.000019s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000018s : 0.01% jit_opt_a.merge_forward : 0.000012s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000002s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000047s : 0.02% jit_opt_a.j_node_and_user_rematch : 0.000038s : 0.01% jit_opt_a.meta_fg_expand : 0.000008s : 0.00% jit_opt_a.replace_old_param : 0.000036s : 0.01% jit_opt_a.inline_without_move : 0.000018s : 0.01% jit_opt_a.renormalize : 0.000832s : 0.33% jit_opt_a.add_forward_monad_depend : 0.000009s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000038s : 0.02% jit_opt_a.cse : 0.000089s : 0.04% jit_opt_a.replace_applicator : 0.000028s : 0.01% py_interpret_to_execute_after_opt_a : 0.000015s : 0.01% rewriter_after_opt_a : 0.000197s : 0.08% convert_after_rewriter : 0.000014s : 0.01% order_py_execute_after_rewriter : 0.000008s : 0.00% mutable_eliminate : 0.000676s : 0.27% jit_opt_b.frontend_op_eliminate : 0.000029s : 0.01% jit_opt_b.inline_after_opt_a : 0.000028s : 0.01% cconv : 0.000028s : 0.01% loop_unroll : 0.000469s : 0.19% jit_opt_after_cconv.c_1 : 0.000061s : 0.02% jit_opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.cse : 0.000039s : 0.02% jit_opt_after_cconv.call_graph_tuple_transform : 0.000027s : 0.01% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000010s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000009s : 0.00% remove_dup_value : 0.000018s : 0.01% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000021s : 0.01% add_recomputation : 0.000089s : 0.04% cse_after_recomputation.cse : 0.000023s : 0.01% auto_monad_reorder : 0.000040s : 0.02% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000492s : 0.19% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000013s : 0.01% symbol_engine_optimizer.elim_not_effective : 0.000022s : 0.01% symbol_engine_optimizer.opt_reshape : 0.000010s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000016s : 0.01% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% process_offload_annotation : 0.000015s : 0.01% validate : 0.000067s : 0.03% Time group info: ------[substitution.] 0.000195 64 3.64% : 0.000007s : 2: substitution.depend_value_elim 1.92% : 0.000004s : 6: substitution.elim_not_effective 1.34% : 0.000003s : 6: substitution.fold_const_symbol 4.23% : 0.000008s : 7: substitution.graph_param_transform 63.48% : 0.000124s : 1: substitution.inline 3.07% : 0.000006s : 12: substitution.j_node_and_user_rematch 4.85% : 0.000009s : 12: substitution.remove_not_recompute_node 2.97% : 0.000006s : 2: substitution.replace_old_param 7.05% : 0.000014s : 6: substitution.updatestate_pure_node_eliminater 7.44% : 0.000014s : 10: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.246920 2 99.72% : 0.246238s : 1: type_inference.infer 0.28% : 0.000682s : 1: type_inference.specialize ------[replace.] 0.000017 1 100.00% : 0.000017s : 1: replace.inline ------[match.] 0.000123 1 100.00% : 0.000123s : 1: match.inline ------[predicate.] 0.000177 1031 1.20% : 0.000002s : 15: predicate.accumulaten_eliminater 1.54% : 0.000003s : 7: predicate.ad_related_special_op_eliminate 1.05% : 0.000002s : 15: predicate.addn_check_dump 1.28% : 0.000002s : 15: predicate.addn_zero_filter 2.06% : 0.000004s : 15: predicate.arithmetic_simplify 1.25% : 0.000002s : 15: predicate.cast_eliminate 0.66% : 0.000001s : 7: predicate.check_bprop_eliminate 1.16% : 0.000002s : 15: predicate.compare_switch_simplify 1.42% : 0.000003s : 15: predicate.depend_value_elim 1.12% : 0.000002s : 15: predicate.dict_get_item_const_eliminator 1.29% : 0.000002s : 15: predicate.dict_get_item_eliminator 1.21% : 0.000002s : 15: predicate.dict_set_item_eliminator 3.30% : 0.000006s : 7: predicate.dumpgradient_eliminate 0.44% : 0.000001s : 7: predicate.elim_not_effective 0.70% : 0.000001s : 7: predicate.elim_shapecalc_of_broadcastargs 1.14% : 0.000002s : 15: predicate.environ_add_const_eliminate 1.08% : 0.000002s : 15: predicate.environ_get_add_eliminate 1.10% : 0.000002s : 15: predicate.environ_get_depend_swap 1.18% : 0.000002s : 15: predicate.environ_get_eliminate 1.09% : 0.000002s : 15: predicate.environ_get_set_eliminate 0.33% : 0.000001s : 7: predicate.fold_const_symbol 1.29% : 0.000002s : 14: predicate.get_grad_eliminate 0.34% : 0.000001s : 7: predicate.graph_param_transform 5.40% : 0.000010s : 30: predicate.inline 1.42% : 0.000003s : 14: predicate.inline_without_move 0.54% : 0.000001s : 14: predicate.j_node_and_user_rematch 1.46% : 0.000003s : 14: predicate.less_batch_normalization 1.30% : 0.000002s : 15: predicate.list_to_tuple_eliminator_ 1.90% : 0.000003s : 22: predicate.load_eliminater 1.48% : 0.000003s : 7: predicate.loop_unroll_after_grad 1.94% : 0.000003s : 19: predicate.loop_unroll_before_grad 2.37% : 0.000004s : 22: predicate.make_slice_get_slice_eliminator 1.08% : 0.000002s : 15: predicate.merge_addn 1.17% : 0.000002s : 15: predicate.minmaximum_grad 1.76% : 0.000003s : 7: predicate.mutable_eliminate 0.70% : 0.000001s : 7: predicate.opt_reshape 2.29% : 0.000004s : 22: predicate.partial_eliminate 1.13% : 0.000002s : 15: predicate.print_const_string_wrapper 1.78% : 0.000003s : 15: predicate.reduce_eliminate 1.26% : 0.000002s : 15: predicate.redundant_stop_gradient_eliminater 1.07% : 0.000002s : 14: predicate.remove_not_recompute_node 1.64% : 0.000003s : 29: predicate.replace_applicator 0.86% : 0.000002s : 14: predicate.replace_old_param 0.37% : 0.000001s : 7: predicate.reset_defer_inline 1.22% : 0.000002s : 15: predicate.reshape_eliminate 1.22% : 0.000002s : 15: predicate.row_tensor_add_zeros_like 0.90% : 0.000002s : 7: predicate.row_tensor_eliminate 1.26% : 0.000002s : 15: predicate.same_eliminate 0.75% : 0.000001s : 14: predicate.set_cell_output_no_recompute 1.30% : 0.000002s : 14: predicate.special_op_eliminate 1.47% : 0.000003s : 14: predicate.specialize_transform 1.42% : 0.000003s : 15: predicate.split_environ_get_set_with_tuple_value 1.31% : 0.000002s : 15: predicate.stack_unstack_eliminate 0.68% : 0.000001s : 7: predicate.switch_call_monad_eliminater 1.42% : 0.000003s : 16: predicate.switch_defer_inline 1.36% : 0.000002s : 16: predicate.switch_layer_defer_inline 5.19% : 0.000009s : 42: predicate.switch_simplify 1.17% : 0.000002s : 15: predicate.tile_eliminate 1.17% : 0.000002s : 15: predicate.transpose_eliminate 1.44% : 0.000003s : 15: predicate.tuple_list_convert_item_index_to_positive 1.34% : 0.000002s : 15: predicate.tuple_list_get_item_depend_reorder 3.66% : 0.000006s : 29: predicate.tuple_list_get_item_eliminator 2.02% : 0.000004s : 15: predicate.tuple_list_set_item_eliminator 1.24% : 0.000002s : 15: predicate.tuple_to_list_eliminator_ 1.79% : 0.000003s : 22: predicate.updatestate_pure_node_eliminater 3.50% : 0.000006s : 36: predicate.updatestate_useless_node_eliminater 1.55% : 0.000003s : 15: predicate.value_based_eliminate 0.64% : 0.000001s : 7: predicate.virtual_view_grad_eliminate 0.85% : 0.000001s : 7: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000311 4 6.03% : 0.000019s : 1: func_graph_cloner_run.FuncGraphClonerGraph 93.97% : 0.000292s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.287588 73 0.03% : 0.000093s : 1: add_recomputation 0.06% : 0.000162s : 1: auto_monad 0.02% : 0.000043s : 1: auto_monad_reorder 0.23% : 0.000663s : 1: bootstrap 0.01% : 0.000030s : 1: cconv 0.01% : 0.000017s : 1: convert_after_rewriter 0.01% : 0.000039s : 1: cse_after_recomputation 0.01% : 0.000023s : 1: environ_conv 0.01% : 0.000025s : 1: event_method 0.00% : 0.000005s : 1: expand_dump_flag 0.00% : 0.000004s : 1: get_jit_bprop_graph 0.00% : 0.000007s : 1: graph_reusing 12.13% : 0.034876s : 1: jit_opt_a 0.08% : 0.000237s : 1: jit_opt_after_cconv 0.03% : 0.000080s : 1: jit_opt_b 0.17% : 0.000477s : 1: loop_unroll 0.24% : 0.000684s : 1: mutable_eliminate 0.34% : 0.000983s : 26: opt.transform.jit_opt_a 0.04% : 0.000103s : 4: opt.transform.jit_opt_after_cconv 0.02% : 0.000050s : 4: opt.transform.jit_opt_b 0.01% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.01% : 0.000020s : 1: opt.transform.mutable_eliminate 0.01% : 0.000042s : 1: opt.transform.opt_after_jit_grad 0.02% : 0.000057s : 4: opt.transform.symbol_engine_opt 0.17% : 0.000502s : 1: opt_after_jit_grad 0.00% : 0.000010s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.01% : 0.000015s : 1: pre_auto_parallel 0.01% : 0.000018s : 1: process_offload_annotation 0.01% : 0.000033s : 1: py_interpret_to_execute 0.01% : 0.000018s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000021s : 1: remove_dup_value 0.16% : 0.000469s : 1: renormalize.infer 0.12% : 0.000355s : 1: renormalize.specialize 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.07% : 0.000202s : 1: rewriter_after_opt_a 0.03% : 0.000073s : 1: rewriter_before_opt_a 0.04% : 0.000107s : 1: symbol_engine_optimizer 85.89% : 0.247015s : 1: type_inference [WARNING] DEVICE(170847,fffe5173c060,python3.9):2026-01-29-17:38:02.701.419 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:59] UpdateDeviceToRemote] UpdateDeviceToRemote is not implemented yet. [WARNING] DEVICE(170847,fffe5173c060,python3.9):2026-01-29-17:38:02.701.552 [mindspore/ccsrc/plugin/ascend/res_manager/hdk_uvm/ascend_uvm_hal.cc:80] DetachDevice] DetachDevice is not implemented yet. . [hook] pytest_runtest_teardown:test_hiar_addr_to_remote_and_detach tests/st/hyper_offload/memory_ops/test_hyper_offload_ops.py::test_hiar_addr_to_remote_and_detach,max_mem:4.0M =============================== warnings summary =============================== ../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222: DeprecationWarning: invalid escape sequence \B """ ../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/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]) ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/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/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/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]) ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/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 ================== 1 passed, 25 warnings in 73.64s (0:01:13) ===================