==================================================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/auto_parallel, configfile: ../../../../../../sault/virtual_test/virtualenv_001/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_swap.py [WARNING] ME(153128:281473026408240,MainProcess):2026-01-29-17:37:51.231.884 [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. TotalTime = 5.45598, [21] [bootstrap]: 0.00081209 [type_inference]: 3.60643 [event_method]: 0.00013926 [auto_monad]: 0.00109872 [graph_reusing]: 0.00045468 [inline]: 3.16999e-06 [add_attr]: 0.11903, [1] [add_attr_with_inline]: 0.119011, [1] [Cycle 1]: 0.00032197, [2] [tag_attr]: 0.00018951 [meta_addattr_fg_expand]: 4.984e-05 [parallel-infer-symbol]: 4.61002e-06 [pre_auto_parallel]: 0.00022882 [insert-virtual-dataset]: 2.69001e-06 [parallel-infer-symbol-second]: 1.24998e-06 [dataset_repeat_opt]: 2.26998e-06 [pipeline_split]: 1.82001e-06 [optimize]: 1.72576, [53] [py_interpret_to_execute]: 0.00021996 [rewriter_before_opt_a]: 0.00076797 [opt_a]: 1.7133, [3] [Cycle 1]: 1.25538, [45] [expand_dump_flag]: 2.287e-05 [switch_simplify]: 0.00036962 [loop_unroll]: 0.00166081 [a_1]: 0.0297798 [with_stream_mark]: 0.00020991 [recompute_prepare]: 0.00014426 [updatestate_depend_eliminate]: 0.00030012 [updatestate_assign_eliminate]: 5.725e-05 [updatestate_loads_eliminate]: 0.00020262 [parameter_eliminate]: 8.32e-06 [a_2]: 0.00262122 [accelerated_algorithm]: 0.00019966 [shard]: 2.86e-06 [meta_shard_fg_expand]: 3.611e-05 [shard_inline]: 9.123e-05 [merge_send_recv]: 0.137779 [auto_parallel]: 7.549e-05 [parallel]: 6.318e-05 [flash_sp]: 3.865e-05 [merge_comm]: 5.289e-05 [allreduce_fusion]: 4.832e-05 [matmul_add_comm_reduction]: 0.00010569 [allreduce_slice_to_reducescatter]: 8.80013e-07 [virtual_shard_identity]: 0.00012226 [virtual_dataset]: 8.294e-05 [get_grad_eliminate_]: 8.034e-05 [virtual_output]: 7.836e-05 [merge_forward]: 4.939e-05 [cell_reuse_recompute_pass]: 4.453e-05 [offload_activation]: 7.997e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00018149 [merge_recompute_call_nodes]: 2.32001e-06 [before_grad]: 0.00014282 [set_forward_comm_id_for_comm_node_pass]: 5.739e-05 [meta_fg_expand]: 0.382067, [1] [partial_eliminate_before_grad]: 0.00019293, [1] [Cycle 1]: 0.00017958, [1] [partial_eliminate_]: 0.00015218 [flash_sp_send_recv_attached]: 8.64e-06 [receive_attached]: 1.589e-05 [after_resolve]: 0.0004974 [a_after_grad]: 0.00075844 [renormalize]: 0.555384 [add_forward_monad_depend]: 0.00016101 [auto_monad_grad]: 0.00039741 [auto_monad_eliminator]: 0.00073207 [cse]: 0.00236642 [a_3]: 0.137388 [Cycle 2]: 0.313165, [45] [expand_dump_flag]: 2.385e-05 [switch_simplify]: 0.00053744 [loop_unroll]: 0.00045449 [a_1]: 0.143963 [with_stream_mark]: 0.00023121 [recompute_prepare]: 0.00011801 [updatestate_depend_eliminate]: 0.00010718 [updatestate_assign_eliminate]: 4.61e-05 [updatestate_loads_eliminate]: 5.068e-05 [parameter_eliminate]: 7.06001e-06 [a_2]: 0.00265062 [accelerated_algorithm]: 0.00078539 [shard]: 3.41001e-06 [meta_shard_fg_expand]: 4.461e-05 [shard_inline]: 8.986e-05 [merge_send_recv]: 6.598e-05 [auto_parallel]: 5.16e-05 [parallel]: 1.131e-05 [flash_sp]: 5.47999e-06 [merge_comm]: 4.497e-05 [allreduce_fusion]: 4.288e-05 [matmul_add_comm_reduction]: 0.00010936 [allreduce_slice_to_reducescatter]: 1.14e-06 [virtual_shard_identity]: 8.244e-05 [virtual_dataset]: 7.61e-05 [get_grad_eliminate_]: 7.447e-05 [virtual_output]: 7.495e-05 [merge_forward]: 4.076e-05 [cell_reuse_recompute_pass]: 4.339e-05 [offload_activation]: 0.00039243 [cell_reuse_handle_not_recompute_node_pass]: 0.00019971 [merge_recompute_call_nodes]: 2.87002e-06 [before_grad]: 0.00015779 [set_forward_comm_id_for_comm_node_pass]: 6.767e-05 [meta_fg_expand]: 0.00058327 [flash_sp_send_recv_attached]: 3.4e-06 [receive_attached]: 3.3e-06 [after_resolve]: 0.00012999 [a_after_grad]: 0.00015705 [renormalize]: 0.158632 [add_forward_monad_depend]: 1.83e-05 [auto_monad_grad]: 5.54e-06 [auto_monad_eliminator]: 0.00022952 [cse]: 0.00148342 [a_3]: 0.00066556 [Cycle 3]: 0.14472, [45] [expand_dump_flag]: 3.53e-06 [switch_simplify]: 9.175e-05 [loop_unroll]: 8.253e-05 [a_1]: 0.00297863 [with_stream_mark]: 0.00014425 [recompute_prepare]: 0.0001182 [updatestate_depend_eliminate]: 5.867e-05 [updatestate_assign_eliminate]: 4.587e-05 [updatestate_loads_eliminate]: 5.507e-05 [parameter_eliminate]: 7.96001e-06 [a_2]: 0.00140307 [accelerated_algorithm]: 0.00010651 [shard]: 3.31999e-06 [meta_shard_fg_expand]: 3.249e-05 [shard_inline]: 9.199e-05 [merge_send_recv]: 6.948e-05 [auto_parallel]: 6.284e-05 [parallel]: 1.133e-05 [flash_sp]: 2.17999e-06 [merge_comm]: 5.333e-05 [allreduce_fusion]: 5.204e-05 [matmul_add_comm_reduction]: 0.00010978 [allreduce_slice_to_reducescatter]: 1.45001e-06 [virtual_shard_identity]: 9.574e-05 [virtual_dataset]: 8.195e-05 [get_grad_eliminate_]: 8.088e-05 [virtual_output]: 7.954e-05 [merge_forward]: 4.855e-05 [cell_reuse_recompute_pass]: 5.031e-05 [offload_activation]: 9.293e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00018785 [merge_recompute_call_nodes]: 2.45002e-06 [before_grad]: 0.00015214 [set_forward_comm_id_for_comm_node_pass]: 6.26e-05 [meta_fg_expand]: 4.337e-05 [flash_sp_send_recv_attached]: 2.61e-06 [receive_attached]: 2.78e-06 [after_resolve]: 0.00011554 [a_after_grad]: 0.00015489 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 8.08999e-06 [auto_monad_grad]: 5.15999e-06 [auto_monad_eliminator]: 0.136421 [cse]: 0.00032189 [a_3]: 0.00066781 [py_interpret_to_execute_after_opt_a]: 9.967e-05 [slice_cell_reuse_recomputed_activation]: 2.78e-06 [rewriter_after_opt_a]: 0.00092056 [convert_after_rewriter]: 8.096e-05 [order_py_execute_after_rewriter]: 5.165e-05 [mutable_eliminate]: 0.00091097 [opt_b]: 0.00293188, [1] [Cycle 1]: 0.00291885, [7] [b_1]: 0.00224315 [b_2]: 0.00010061 [updatestate_depend_eliminate]: 7.648e-05 [updatestate_assign_eliminate]: 4.919e-05 [updatestate_loads_eliminate]: 5.481e-05 [renormalize]: 1.29e-06 [cse]: 0.00030992 [optimize_parallel_all_gather_comm]: 0.00012209 [overlap_param_gather]: 3.16001e-06 [cconv]: 0.00031762 [loop_unroll]: 0.00084097 [opt_after_cconv]: 0.0020163, [1] [Cycle 1]: 0.00200361, [7] [c_1]: 0.00062742 [parameter_eliminate]: 1.637e-05 [updatestate_depend_eliminate]: 8.479e-05 [updatestate_assign_eliminate]: 0.00085236 [updatestate_loads_eliminate]: 6.361e-05 [cse]: 0.00028019 [renormalize]: 6.80011e-07 [remove_dup_value]: 0.00031131 [tuple_transform]: 0.0009675, [1] [Cycle 1]: 0.00095617, [4] [d_1]: 0.00082655 [none_parameter_eliminate]: 9.15999e-06 [renormalize]: 4.69998e-07 [switch_simplify]: 8.978e-05 [partial_unused_args_eliminate]: 1.518e-05 [add_recomputation]: 3.23998e-06 [cse_after_recomputation]: 0.0002195, [1] [Cycle 1]: 0.00021307, [1] [cse]: 0.00020096 [environ_conv]: 5.96e-05 [swap_dp_allreduce_reducescatter]: 9.201e-05 [bias_add_comm_swap]: 3.88001e-06 [label_micro_interleaved_index]: 9.12999e-06 [label_fine_grained_interleaved_index]: 2.86e-06 [merge_cast_opt]: 1.76e-06 [slice_recompute_activation]: 2.37999e-06 [micro_interleaved_order_control]: 2.49999e-06 [assign_add_opt]: 1.50999e-06 [ForceFp32Comm]: 9.70002e-07 [remove_cast_before_assign_add]: 1.10999e-06 [full_micro_interleaved_order_control]: 2.21e-06 [reorder_send_recv_between_fp_bp]: 3.04001e-06 [comm_op_add_attrs]: 1.04003e-06 [add_comm_op_reuse_tag]: 9.80013e-07 [interleave_split_concat_branches]: 1.21997e-06 [interleave_parallel_branches]: 1.09e-06 [overlap_opt_shard_in_pipeline]: 3.288e-05 [overlap_opt_shard_grad_in_pipeline]: 1.82001e-06 [control_data_broadcast_order]: 0.00012882 [grouped_pairwise_exchange_alltoall]: 2.09999e-06 [offloading_packed_experts]: 3.279e-05 [overlap_recompute_and_grad_model_parallel]: 3.239e-05 [overlap_grad_matmul_and_grad_allreduce]: 1.54e-06 [overlap_recompute_allgather_and_fa_grad]: 1.42e-06 [overlap_recompute_comm]: 2.01998e-06 [overlap_grad_ring_attention]: 3.107e-05 [overlap_grad_flash_sp]: 0.0001998 [begin_end_overlap_inline]: 6.80011e-07 [split_matmul_comm_elemetwise]: 2.45997e-06 [split_layernorm_comm]: 2.24999e-06 [handle_group_info]: 1.06002e-06 [symbol_engine_optimizer]: 0.00060147, [1] [Cycle 1]: 0.00059335, [6] [build]: 4.016e-05 [elim_shapecalc]: 0.00010559 [elim_not_effective]: 0.00016397 [opt_reshape]: 8.636e-05 [fold_const_symbol]: 0.00014929 [renormalize]: 3.89991e-07 [detach_backward]: 3.78999e-06 [pipeline_parallel_scheduler]: 1.47999e-06 [auto_monad_reorder]: 0.00027298 [get_jit_bprop_graph]: 2.34001e-06 [rewriter_after_jit_bprop_graph]: 8.22e-06 [opt_after_jit_grad]: 0.00116278 [validate]: 0.00028579 Sums bootstrap : 0.000812s : 0.02% type_inference : 3.606432s : 72.82% event_method : 0.000139s : 0.00% auto_monad : 0.001099s : 0.02% graph_reusing : 0.000455s : 0.01% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000190s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000050s : 0.00% parallel-infer-symbol : 0.000005s : 0.00% pre_auto_parallel : 0.000229s : 0.00% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000220s : 0.00% optimize.rewriter_before_opt_a : 0.000768s : 0.02% optimize.opt_a.expand_dump_flag : 0.000050s : 0.00% optimize.opt_a.switch_simplify : 0.000999s : 0.02% optimize.opt_a.loop_unroll : 0.002198s : 0.04% optimize.opt_a.a_1 : 0.176722s : 3.57% optimize.opt_a.with_stream_mark : 0.000585s : 0.01% optimize.opt_a.recompute_prepare : 0.000380s : 0.01% optimize.opt_a.updatestate_depend_eliminate : 0.000466s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000149s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000308s : 0.01% optimize.opt_a.parameter_eliminate : 0.000023s : 0.00% optimize.opt_a.a_2 : 0.006675s : 0.13% optimize.opt_a.accelerated_algorithm : 0.001092s : 0.02% optimize.opt_a.shard : 0.000010s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000113s : 0.00% optimize.opt_a.shard_inline : 0.000273s : 0.01% optimize.opt_a.merge_send_recv : 0.137915s : 2.78% optimize.opt_a.auto_parallel : 0.000190s : 0.00% optimize.opt_a.parallel : 0.000086s : 0.00% optimize.opt_a.flash_sp : 0.000046s : 0.00% optimize.opt_a.merge_comm : 0.000151s : 0.00% optimize.opt_a.allreduce_fusion : 0.000143s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000325s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000003s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000300s : 0.01% optimize.opt_a.virtual_dataset : 0.000241s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000236s : 0.00% optimize.opt_a.virtual_output : 0.000233s : 0.00% optimize.opt_a.merge_forward : 0.000139s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000138s : 0.00% optimize.opt_a.offload_activation : 0.000565s : 0.01% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000569s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000008s : 0.00% optimize.opt_a.before_grad : 0.000453s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000188s : 0.00% optimize.opt_a.meta_fg_expand : 0.000627s : 0.01% optimize.opt_a.meta_fg_expand.partial_eliminate_before_grad.partial_eliminate_ : 0.000152s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000015s : 0.00% optimize.opt_a.receive_attached : 0.000022s : 0.00% optimize.opt_a.after_resolve : 0.000743s : 0.02% optimize.opt_a.a_after_grad : 0.001070s : 0.02% optimize.opt_a.renormalize : 0.714016s : 14.42% optimize.opt_a.add_forward_monad_depend : 0.000187s : 0.00% optimize.opt_a.auto_monad_grad : 0.000408s : 0.01% optimize.opt_a.auto_monad_eliminator : 0.137383s : 2.77% optimize.opt_a.cse : 0.004172s : 0.08% optimize.opt_a.a_3 : 0.138721s : 2.80% optimize.py_interpret_to_execute_after_opt_a : 0.000100s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000921s : 0.02% optimize.convert_after_rewriter : 0.000081s : 0.00% optimize.order_py_execute_after_rewriter : 0.000052s : 0.00% optimize.mutable_eliminate : 0.000911s : 0.02% optimize.opt_b.b_1 : 0.002243s : 0.05% optimize.opt_b.b_2 : 0.000101s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000076s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000049s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000055s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000310s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000122s : 0.00% optimize.overlap_param_gather : 0.000003s : 0.00% optimize.cconv : 0.000318s : 0.01% optimize.loop_unroll : 0.000841s : 0.02% optimize.opt_after_cconv.c_1 : 0.000627s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000016s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000085s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000852s : 0.02% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000064s : 0.00% optimize.opt_after_cconv.cse : 0.000280s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000311s : 0.01% optimize.tuple_transform.d_1 : 0.000827s : 0.02% optimize.tuple_transform.none_parameter_eliminate : 0.000009s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000090s : 0.00% optimize.partial_unused_args_eliminate : 0.000015s : 0.00% optimize.add_recomputation : 0.000003s : 0.00% optimize.cse_after_recomputation.cse : 0.000201s : 0.00% optimize.environ_conv : 0.000060s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000092s : 0.00% optimize.bias_add_comm_swap : 0.000004s : 0.00% optimize.label_micro_interleaved_index : 0.000009s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 0.00% optimize.assign_add_opt : 0.000002s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000002s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.00% optimize.comm_op_add_attrs : 0.000001s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000001s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000033s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000129s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000033s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000032s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000002s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000031s : 0.00% optimize.overlap_grad_flash_sp : 0.000200s : 0.00% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000040s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000106s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000164s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000086s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000149s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000004s : 0.00% pipeline_parallel_scheduler : 0.000001s : 0.00% auto_monad_reorder : 0.000273s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.001163s : 0.02% validate : 0.000286s : 0.01% Time group info: ------[substitution.] 0.012955 2363 2.59% : 0.000336s : 68: substitution.arithmetic_simplify 0.24% : 0.000031s : 2: substitution.cast_eliminate 0.10% : 0.000013s : 2: substitution.const_output_eliminate 0.40% : 0.000052s : 37: substitution.depend_value_elim 0.17% : 0.000021s : 59: substitution.elim_not_effective 0.15% : 0.000020s : 9: substitution.environ_get_add_eliminate 0.10% : 0.000013s : 6: substitution.environ_get_depend_swap 0.18% : 0.000024s : 15: substitution.environ_get_eliminate 0.28% : 0.000036s : 9: substitution.environ_get_set_eliminate 0.20% : 0.000026s : 25: substitution.float_depend_g_call 0.05% : 0.000007s : 6: substitution.float_environ_get_switch 0.30% : 0.000039s : 34: substitution.float_tuple_getitem_switch 0.15% : 0.000019s : 59: substitution.fold_const_symbol 23.40% : 0.003031s : 13: substitution.getattr_setattr_resolve 0.57% : 0.000073s : 84: substitution.graph_param_transform 0.09% : 0.000012s : 7: substitution.incorporate_call 0.06% : 0.000007s : 7: substitution.incorporate_call_switch 42.51% : 0.005507s : 138: substitution.inline 0.93% : 0.000121s : 19: substitution.inline_without_move 0.57% : 0.000074s : 175: substitution.j_node_and_user_rematch 1.11% : 0.000144s : 11: substitution.less_batch_normalization 0.30% : 0.000039s : 60: substitution.load_eliminater 0.88% : 0.000114s : 75: substitution.minmaximum_grad 0.60% : 0.000078s : 26: substitution.partial_eliminate 0.19% : 0.000025s : 6: substitution.reduce_eliminate 1.16% : 0.000150s : 175: substitution.remove_not_recompute_node 4.37% : 0.000566s : 149: substitution.replace_applicator 0.46% : 0.000060s : 95: substitution.replace_old_param 0.10% : 0.000013s : 2: substitution.reset_defer_inline 0.06% : 0.000008s : 1: substitution.reshape_eliminate 0.17% : 0.000022s : 7: substitution.set_cell_output_no_recompute 0.13% : 0.000017s : 7: substitution.specialize_transform 0.21% : 0.000027s : 12: substitution.split_environ_get_set_with_tuple_value 0.02% : 0.000002s : 1: substitution.switch_call_monad_eliminater 0.16% : 0.000020s : 1: substitution.tile_eliminate 2.95% : 0.000382s : 89: substitution.tuple_list_convert_item_index_to_positive 0.97% : 0.000126s : 95: substitution.tuple_list_get_item_const_eliminator 1.80% : 0.000234s : 95: substitution.tuple_list_get_item_depend_reorder 4.55% : 0.000589s : 202: substitution.tuple_list_get_item_eliminator 1.32% : 0.000171s : 95: substitution.tuple_list_get_set_item_eliminator 0.16% : 0.000020s : 1: substitution.tuple_list_set_item_eliminator 1.57% : 0.000204s : 172: substitution.updatestate_pure_node_eliminater 3.70% : 0.000479s : 212: substitution.updatestate_useless_node_eliminater ------[type_inference.] 3.604830 2 96.32% : 3.472306s : 1: type_inference.infer 3.68% : 0.132523s : 1: type_inference.specialize ------[replace.] 0.003810 229 0.49% : 0.000019s : 1: replace.arithmetic_simplify 0.65% : 0.000025s : 2: replace.cast_eliminate 0.60% : 0.000023s : 1: replace.depend_value_elim 1.22% : 0.000046s : 3: replace.environ_get_set_eliminate 6.09% : 0.000232s : 10: replace.getattr_setattr_resolve 52.49% : 0.002000s : 105: replace.inline 2.66% : 0.000101s : 6: replace.partial_eliminate 6.39% : 0.000243s : 11: replace.replace_applicator 1.57% : 0.000060s : 6: replace.tuple_list_get_item_depend_reorder 25.45% : 0.000970s : 80: replace.tuple_list_get_item_eliminator 1.01% : 0.000039s : 1: replace.tuple_list_set_item_eliminator 1.38% : 0.000052s : 3: replace.updatestate_useless_node_eliminater ------[match.] 0.008689 229 0.58% : 0.000050s : 1: match.arithmetic_simplify 0.32% : 0.000028s : 2: match.cast_eliminate 0.00% : 0.000000s : 1: match.depend_value_elim 0.27% : 0.000023s : 3: match.environ_get_set_eliminate 32.33% : 0.002809s : 10: match.getattr_setattr_resolve 61.53% : 0.005347s : 105: match.inline 0.53% : 0.000046s : 6: match.partial_eliminate 0.88% : 0.000077s : 11: match.replace_applicator 0.48% : 0.000041s : 6: match.tuple_list_get_item_depend_reorder 2.52% : 0.000219s : 80: match.tuple_list_get_item_eliminator 0.22% : 0.000019s : 1: match.tuple_list_set_item_eliminator 0.34% : 0.000029s : 3: match.updatestate_useless_node_eliminater ------[predicate.] 0.021678 53850 0.37% : 0.000080s : 555: predicate.accumulaten_eliminater 0.10% : 0.000022s : 86: predicate.ad_related_special_op_eliminate 0.38% : 0.000083s : 391: predicate.addn_check_dump 0.36% : 0.000078s : 555: predicate.addn_zero_filter 0.34% : 0.000075s : 555: predicate.adjust_all_reduce_mul_add 0.85% : 0.000184s : 942: predicate.arithmetic_simplify 0.37% : 0.000081s : 558: predicate.cast_eliminate 1.06% : 0.000229s : 1158: predicate.check_bprop_eliminate 0.26% : 0.000056s : 391: predicate.compare_switch_simplify 0.03% : 0.000006s : 78: predicate.const_output_eliminate 0.27% : 0.000058s : 386: predicate.depend_value_elim 0.49% : 0.000107s : 561: predicate.dict_get_item_const_eliminator 0.40% : 0.000086s : 561: predicate.dict_get_item_eliminator 0.35% : 0.000076s : 561: predicate.dict_set_item_eliminator 0.12% : 0.000027s : 164: predicate.dumpgradient_eliminate 0.03% : 0.000007s : 84: predicate.elim_not_effective 0.06% : 0.000014s : 84: predicate.elim_shapecalc_of_broadcastargs 0.02% : 0.000004s : 31: predicate.eliminate_switch_conditional_partial_ 0.02% : 0.000004s : 31: predicate.eliminate_switch_layer_partial_ 0.02% : 0.000004s : 31: predicate.eliminate_switch_partial_ 0.41% : 0.000088s : 636: predicate.environ_add_const_eliminate 0.42% : 0.000092s : 639: predicate.environ_get_add_eliminate 0.44% : 0.000096s : 636: predicate.environ_get_depend_swap 0.68% : 0.000148s : 1025: predicate.environ_get_eliminate 0.41% : 0.000088s : 639: predicate.environ_get_set_eliminate 0.52% : 0.000112s : 761: predicate.exchange_switch_depend_value 0.66% : 0.000144s : 761: predicate.float_depend_g_call 0.26% : 0.000057s : 391: predicate.float_environ_get_switch 0.32% : 0.000069s : 469: predicate.float_tuple_getitem_switch 0.03% : 0.000006s : 84: predicate.fold_const_symbol 0.16% : 0.000035s : 231: predicate.get_grad_eliminate 0.12% : 0.000027s : 71: predicate.getattr_setattr_resolve 0.04% : 0.000008s : 84: predicate.graph_param_transform 0.24% : 0.000052s : 386: predicate.incorporate_call 0.23% : 0.000049s : 386: predicate.incorporate_call_switch 1.80% : 0.000390s : 2100: predicate.inline 0.48% : 0.000104s : 519: predicate.inline_without_move 0.08% : 0.000018s : 240: predicate.j_node_and_user_rematch 0.22% : 0.000049s : 237: predicate.less_batch_normalization 0.54% : 0.000117s : 810: predicate.list_to_tuple_eliminator_ 1.01% : 0.000220s : 1371: predicate.load_eliminater 0.09% : 0.000020s : 84: predicate.loop_unroll_after_grad 0.82% : 0.000177s : 900: predicate.loop_unroll_before_grad 0.48% : 0.000103s : 730: predicate.make_slice_get_slice_eliminator 0.26% : 0.000057s : 391: predicate.merge_addn 0.79% : 0.000172s : 1112: predicate.micro_step_allgather_replace 0.84% : 0.000183s : 1112: predicate.mini_step_allgather_replace 0.37% : 0.000079s : 556: predicate.minmaximum_grad 0.10% : 0.000021s : 78: predicate.mutable_eliminate 0.06% : 0.000013s : 84: predicate.opt_reshape 0.06% : 0.000012s : 78: predicate.parallel_virtual_node 0.91% : 0.000197s : 761: predicate.partial_defer_inline 0.56% : 0.000122s : 769: predicate.partial_eliminate 0.35% : 0.000076s : 555: predicate.print_const_string_wrapper 0.26% : 0.000056s : 384: predicate.reduce_all_const_elim 0.46% : 0.000100s : 556: predicate.reduce_eliminate 0.89% : 0.000193s : 1371: predicate.redundant_stop_gradient_eliminater 0.09% : 0.000020s : 240: predicate.remove_not_recompute_node 0.76% : 0.000164s : 1782: predicate.replace_applicator 0.19% : 0.000042s : 519: predicate.replace_old_param 0.03% : 0.000007s : 78: predicate.reset_defer_inline 0.37% : 0.000081s : 556: predicate.reshape_eliminate 0.96% : 0.000208s : 1112: predicate.row_tensor_add_zeros_like 0.06% : 0.000013s : 78: predicate.row_tensor_eliminate 1.02% : 0.000222s : 1158: predicate.same_eliminate 0.10% : 0.000023s : 269: predicate.set_cell_output_no_recompute 0.18% : 0.000039s : 231: predicate.shard_identity_eliminate 0.11% : 0.000024s : 164: predicate.special_op_eliminate 0.28% : 0.000061s : 391: predicate.specialize_transform 0.82% : 0.000178s : 1112: predicate.split_environ_get_set_with_tuple_value 0.40% : 0.000086s : 519: predicate.stack_unstack_eliminate 0.06% : 0.000012s : 84: predicate.switch_call_monad_eliminater 0.55% : 0.000119s : 761: predicate.switch_defer_inline 1.44% : 0.000313s : 1919: predicate.switch_layer_defer_inline 61.91% : 0.013421s : 2136: predicate.switch_simplify 0.36% : 0.000078s : 556: predicate.tile_eliminate 0.34% : 0.000075s : 556: predicate.transpose_eliminate 0.52% : 0.000113s : 723: predicate.tuple_list_convert_item_index_to_positive 0.83% : 0.000181s : 730: predicate.tuple_list_get_item_const_eliminator 0.51% : 0.000111s : 729: predicate.tuple_list_get_item_depend_reorder 1.07% : 0.000231s : 1196: predicate.tuple_list_get_item_eliminator 0.54% : 0.000116s : 729: predicate.tuple_list_get_set_item_eliminator 0.82% : 0.000177s : 1116: predicate.tuple_list_set_item_eliminator 0.76% : 0.000165s : 810: predicate.tuple_to_list_eliminator_ 0.91% : 0.000198s : 1371: predicate.updatestate_pure_node_eliminater 1.21% : 0.000262s : 1761: predicate.updatestate_useless_node_eliminater 0.05% : 0.000012s : 78: predicate.value_based_eliminate 0.16% : 0.000036s : 231: predicate.virtual_dataset_eliminate 0.16% : 0.000035s : 231: predicate.virtual_output_eliminate 0.06% : 0.000013s : 86: predicate.virtual_view_grad_eliminate 0.06% : 0.000013s : 78: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.153162 245 16.46% : 0.025216s : 112: func_graph_cloner_run.FuncGraphClonerGraph 0.45% : 0.000683s : 11: func_graph_cloner_run.FuncGraphClonerNode 83.09% : 0.127263s : 122: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 8.353292 282 0.00% : 0.000004s : 1: ForceFp32Comm 1.43% : 0.119037s : 1: add_attr 1.42% : 0.119016s : 1: add_attr_with_inline 0.00% : 0.000003s : 1: add_comm_op_reuse_tag 0.00% : 0.000007s : 1: add_recomputation 0.00% : 0.000005s : 1: assign_add_opt 0.01% : 0.001123s : 1: auto_monad 0.00% : 0.000284s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: begin_end_overlap_inline 0.00% : 0.000008s : 1: bias_add_comm_swap 0.01% : 0.000850s : 1: bootstrap 0.00% : 0.000329s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000134s : 1: control_data_broadcast_order 0.00% : 0.000088s : 1: convert_after_rewriter 0.00% : 0.000223s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.00% : 0.000064s : 1: environ_conv 0.00% : 0.000150s : 1: event_method 0.00% : 0.000006s : 1: full_micro_interleaved_order_control 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.01% : 0.000472s : 1: graph_reusing 0.00% : 0.000006s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000005s : 1: handle_group_info 0.00% : 0.000008s : 1: inline 0.00% : 0.000006s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000013s : 1: label_micro_interleaved_index 0.01% : 0.000852s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000005s : 1: micro_interleaved_order_control 0.01% : 0.000925s : 1: mutable_eliminate 0.00% : 0.000036s : 1: offloading_packed_experts 0.00% : 0.000118s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000118s : 1: opt.transform.mutable_eliminate 3.96% : 0.330450s : 159: opt.transform.opt_a 0.01% : 0.000625s : 1: opt.transform.opt_after_cconv 0.00% : 0.000311s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.002289s : 28: opt.transform.opt_b 0.04% : 0.003512s : 6: opt.transform.opt_resolve 0.01% : 0.000910s : 2: opt.transform.opt_trans_graph 0.00% : 0.000147s : 1: opt.transform.partial_eliminate 0.01% : 0.000499s : 4: opt.transform.symbol_engine_opt 20.51% : 1.713306s : 1: opt_a 0.02% : 0.002021s : 1: opt_after_cconv 0.01% : 0.001176s : 1: opt_after_jit_grad 0.04% : 0.002939s : 1: opt_b 20.66% : 1.725771s : 1: optimize 0.00% : 0.000129s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000056s : 1: order_py_execute_after_rewriter 0.00% : 0.000207s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000035s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000038s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000008s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000036s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000052s : 1: overlap_recompute_comm 0.00% : 0.000009s : 1: parallel-infer-symbol 0.00% : 0.000005s : 1: parallel-infer-symbol-second 0.00% : 0.000020s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.00% : 0.000237s : 1: pre_auto_parallel 0.00% : 0.000236s : 1: py_interpret_to_execute 0.00% : 0.000106s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000320s : 1: remove_dup_value 7.31% : 0.610582s : 2: renormalize.infer 1.24% : 0.103389s : 2: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000936s : 1: rewriter_after_opt_a 0.01% : 0.000780s : 1: rewriter_before_opt_a 0.00% : 0.000006s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000098s : 1: swap_dp_allreduce_reducescatter 0.01% : 0.000605s : 1: symbol_engine_optimizer 0.01% : 0.000972s : 1: tuple_transform 43.17% : 3.606471s : 1: type_inference [WARNING] DEVICE(153128,ffff8bc0bf30,python3.9):2026-01-29-17:38:54.493.649 [mindspore/ccsrc/plugin/ascend/graph_optimizer/pass/heterogeneous/insert_move_to.cc:141] CollectOffloadedParameter] Skip backend inline node: @kernel_graph0:▲CNode_33{[0]: ValueNode CallInline, [1]: param_weight_3, [2]: param_weight_2, [3]: param_weight_1, [4]: param_inputs0, [5]: ValueNode U} [WARNING] DEVICE(153128,ffff8bc0bf30,python3.9):2026-01-29-17:38:54.494.518 [mindspore/ccsrc/plugin/ascend/graph_optimizer/pass/heterogeneous/insert_move_to.cc:141] CollectOffloadedParameter] Skip backend inline node: @kernel_graph0:▲CNode_33{[0]: ValueNode CallInline, [1]: param_weight_3, [2]: param_weight_2, [3]: param_weight_1, [4]: param_inputs0, [5]: ValueNode U} [WARNING] DEVICE(153128,ffff8bc0bf30,python3.9):2026-01-29-17:38:54.494.995 [mindspore/ccsrc/plugin/ascend/graph_optimizer/pass/heterogeneous/insert_move_to.cc:141] CollectOffloadedParameter] Skip backend inline node: @kernel_graph0:▲CNode_33{[0]: ValueNode CallInline, [1]: param_weight_3, [2]: param_weight_2, [3]: param_weight_1, [4]: param_inputs0, [5]: ValueNode U} ............. TotalTime = 0.197444, [21] [bootstrap]: 0.00082095 [type_inference]: 0.013165 [event_method]: 1.911e-05 [auto_monad]: 0.00031839 [graph_reusing]: 0.00056361 [inline]: 2.83998e-06 [add_attr]: 0.00774247, [1] [add_attr_with_inline]: 0.00772585, [1] [Cycle 1]: 7.507e-05, [2] [tag_attr]: 2.379e-05 [meta_addattr_fg_expand]: 6.05002e-06 [parallel-infer-symbol]: 3.75998e-06 [pre_auto_parallel]: 4.202e-05 [insert-virtual-dataset]: 2.81e-06 [parallel-infer-symbol-second]: 8.50006e-07 [dataset_repeat_opt]: 1.96003e-06 [pipeline_split]: 2.39999e-06 [optimize]: 0.173656, [53] [py_interpret_to_execute]: 4.386e-05 [rewriter_before_opt_a]: 8.926e-05 [opt_a]: 0.168873, [2] [Cycle 1]: 0.166011, [45] [expand_dump_flag]: 2.74999e-06 [switch_simplify]: 0.160118 [loop_unroll]: 4.255e-05 [a_1]: 0.00109635 [with_stream_mark]: 5.323e-05 [recompute_prepare]: 3.695e-05 [updatestate_depend_eliminate]: 1.582e-05 [updatestate_assign_eliminate]: 1.421e-05 [updatestate_loads_eliminate]: 0.00027332 [parameter_eliminate]: 5.82001e-06 [a_2]: 0.00038677 [accelerated_algorithm]: 5.208e-05 [shard]: 2.22001e-06 [meta_shard_fg_expand]: 7.75e-06 [shard_inline]: 2.844e-05 [merge_send_recv]: 1.871e-05 [auto_parallel]: 9.372e-05 [parallel]: 5.504e-05 [flash_sp]: 1.547e-05 [merge_comm]: 1.527e-05 [allreduce_fusion]: 1.229e-05 [matmul_add_comm_reduction]: 4.084e-05 [allreduce_slice_to_reducescatter]: 8.30012e-07 [virtual_shard_identity]: 2.827e-05 [virtual_dataset]: 2.668e-05 [get_grad_eliminate_]: 2.558e-05 [virtual_output]: 2.588e-05 [merge_forward]: 1.15e-05 [cell_reuse_recompute_pass]: 1.26e-05 [offload_activation]: 2.882e-05 [cell_reuse_handle_not_recompute_node_pass]: 5.046e-05 [merge_recompute_call_nodes]: 1.90001e-06 [before_grad]: 4.207e-05 [set_forward_comm_id_for_comm_node_pass]: 1.483e-05 [meta_fg_expand]: 9.56e-06 [flash_sp_send_recv_attached]: 5.77001e-06 [receive_attached]: 2.34001e-06 [after_resolve]: 4.222e-05 [a_after_grad]: 4.535e-05 [renormalize]: 0.00210728 [add_forward_monad_depend]: 2.231e-05 [auto_monad_grad]: 4.12e-06 [auto_monad_eliminator]: 5.596e-05 [cse]: 0.0001975 [a_3]: 0.00018791 [Cycle 2]: 0.00284688, [45] [expand_dump_flag]: 2.21998e-06 [switch_simplify]: 2.619e-05 [loop_unroll]: 2.48e-05 [a_1]: 0.00080613 [with_stream_mark]: 3.282e-05 [recompute_prepare]: 9.696e-05 [updatestate_depend_eliminate]: 1.977e-05 [updatestate_assign_eliminate]: 1.258e-05 [updatestate_loads_eliminate]: 1.983e-05 [parameter_eliminate]: 5.75001e-06 [a_2]: 0.00036563 [accelerated_algorithm]: 2.995e-05 [shard]: 2.36998e-06 [meta_shard_fg_expand]: 5.69e-06 [shard_inline]: 2.631e-05 [merge_send_recv]: 1.862e-05 [auto_parallel]: 2.028e-05 [parallel]: 9.45001e-06 [flash_sp]: 4.88001e-06 [merge_comm]: 1.466e-05 [allreduce_fusion]: 1.179e-05 [matmul_add_comm_reduction]: 4.136e-05 [allreduce_slice_to_reducescatter]: 6.69999e-07 [virtual_shard_identity]: 2.759e-05 [virtual_dataset]: 2.397e-05 [get_grad_eliminate_]: 2.273e-05 [virtual_output]: 2.457e-05 [merge_forward]: 1.318e-05 [cell_reuse_recompute_pass]: 1.133e-05 [offload_activation]: 2.753e-05 [cell_reuse_handle_not_recompute_node_pass]: 5.245e-05 [merge_recompute_call_nodes]: 1.87999e-06 [before_grad]: 4.208e-05 [set_forward_comm_id_for_comm_node_pass]: 9.258e-05 [meta_fg_expand]: 1.054e-05 [flash_sp_send_recv_attached]: 2.19001e-06 [receive_attached]: 2.54001e-06 [after_resolve]: 4.47e-05 [a_after_grad]: 4.523e-05 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 4.75999e-06 [auto_monad_grad]: 3.66001e-06 [auto_monad_eliminator]: 4.877e-05 [cse]: 7.967e-05 [a_3]: 0.00017086 [py_interpret_to_execute_after_opt_a]: 3.602e-05 [slice_cell_reuse_recomputed_activation]: 3.11001e-06 [rewriter_after_opt_a]: 0.00025566 [convert_after_rewriter]: 2.333e-05 [order_py_execute_after_rewriter]: 1.431e-05 [mutable_eliminate]: 0.0008011 [opt_b]: 0.00100192, [1] [Cycle 1]: 0.0009924, [7] [b_1]: 0.00057293 [b_2]: 2.74e-05 [updatestate_depend_eliminate]: 1.745e-05 [updatestate_assign_eliminate]: 1.273e-05 [updatestate_loads_eliminate]: 1.799e-05 [renormalize]: 5.39992e-07 [cse]: 0.00029954 [optimize_parallel_all_gather_comm]: 4.601e-05 [overlap_param_gather]: 3.97998e-06 [cconv]: 3.881e-05 [loop_unroll]: 0.00054822 [opt_after_cconv]: 0.00054399, [1] [Cycle 1]: 0.00053578, [7] [c_1]: 0.00017143 [parameter_eliminate]: 8.1e-06 [updatestate_depend_eliminate]: 1.475e-05 [updatestate_assign_eliminate]: 1.029e-05 [updatestate_loads_eliminate]: 1.629e-05 [cse]: 0.00027167 [renormalize]: 3.00002e-07 [remove_dup_value]: 7.915e-05 [tuple_transform]: 0.00027852, [1] [Cycle 1]: 0.00027198, [4] [d_1]: 0.00021871 [none_parameter_eliminate]: 5.37001e-06 [renormalize]: 1.8999e-07 [switch_simplify]: 2.633e-05 [partial_unused_args_eliminate]: 4.64002e-06 [add_recomputation]: 2.04e-06 [cse_after_recomputation]: 0.00016104, [1] [Cycle 1]: 0.00015486, [1] [cse]: 0.00014689 [environ_conv]: 1.755e-05 [swap_dp_allreduce_reducescatter]: 2.078e-05 [bias_add_comm_swap]: 2.71999e-06 [label_micro_interleaved_index]: 5.34e-06 [label_fine_grained_interleaved_index]: 3.03e-06 [merge_cast_opt]: 1.39998e-06 [slice_recompute_activation]: 2.08998e-06 [micro_interleaved_order_control]: 2.37001e-06 [assign_add_opt]: 1.24e-06 [ForceFp32Comm]: 1.37e-06 [remove_cast_before_assign_add]: 1.13001e-06 [full_micro_interleaved_order_control]: 2.60002e-06 [reorder_send_recv_between_fp_bp]: 3.16999e-06 [comm_op_add_attrs]: 1.00999e-06 [add_comm_op_reuse_tag]: 9.79984e-07 [interleave_split_concat_branches]: 1.18001e-06 [interleave_parallel_branches]: 1.17999e-06 [overlap_opt_shard_in_pipeline]: 2.43e-06 [overlap_opt_shard_grad_in_pipeline]: 1.77999e-06 [control_data_broadcast_order]: 3.669e-05 [grouped_pairwise_exchange_alltoall]: 1.72001e-06 [offloading_packed_experts]: 1.073e-05 [overlap_recompute_and_grad_model_parallel]: 9.85002e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.07998e-06 [overlap_recompute_allgather_and_fa_grad]: 1.52001e-06 [overlap_recompute_comm]: 2.19001e-06 [overlap_grad_ring_attention]: 1.078e-05 [overlap_grad_flash_sp]: 8.631e-05 [begin_end_overlap_inline]: 5.09986e-07 [split_matmul_comm_elemetwise]: 2.43998e-06 [split_layernorm_comm]: 1.79e-06 [handle_group_info]: 9.70002e-07 [symbol_engine_optimizer]: 0.00030107, [1] [Cycle 1]: 0.00029521, [6] [build]: 1.385e-05 [elim_shapecalc]: 3.665e-05 [elim_not_effective]: 4.422e-05 [opt_reshape]: 3.503e-05 [fold_const_symbol]: 3.836e-05 [renormalize]: 1.90019e-07 [detach_backward]: 2.48e-06 [pipeline_parallel_scheduler]: 1.54e-06 [auto_monad_reorder]: 0.0001085 [get_jit_bprop_graph]: 2.17001e-06 [rewriter_after_jit_bprop_graph]: 7.59002e-06 [opt_after_jit_grad]: 0.0006481 [validate]: 7.765e-05 Sums bootstrap : 0.000821s : 0.44% type_inference : 0.013165s : 7.01% event_method : 0.000019s : 0.01% auto_monad : 0.000318s : 0.17% graph_reusing : 0.000564s : 0.30% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000024s : 0.01% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000006s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000042s : 0.02% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000044s : 0.02% optimize.rewriter_before_opt_a : 0.000089s : 0.05% optimize.opt_a.expand_dump_flag : 0.000005s : 0.00% optimize.opt_a.switch_simplify : 0.160144s : 85.30% optimize.opt_a.loop_unroll : 0.000067s : 0.04% optimize.opt_a.a_1 : 0.001902s : 1.01% optimize.opt_a.with_stream_mark : 0.000086s : 0.05% optimize.opt_a.recompute_prepare : 0.000134s : 0.07% optimize.opt_a.updatestate_depend_eliminate : 0.000036s : 0.02% optimize.opt_a.updatestate_assign_eliminate : 0.000027s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000293s : 0.16% optimize.opt_a.parameter_eliminate : 0.000012s : 0.01% optimize.opt_a.a_2 : 0.000752s : 0.40% optimize.opt_a.accelerated_algorithm : 0.000082s : 0.04% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000013s : 0.01% optimize.opt_a.shard_inline : 0.000055s : 0.03% optimize.opt_a.merge_send_recv : 0.000037s : 0.02% optimize.opt_a.auto_parallel : 0.000114s : 0.06% optimize.opt_a.parallel : 0.000064s : 0.03% optimize.opt_a.flash_sp : 0.000020s : 0.01% optimize.opt_a.merge_comm : 0.000030s : 0.02% optimize.opt_a.allreduce_fusion : 0.000024s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000082s : 0.04% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000056s : 0.03% optimize.opt_a.virtual_dataset : 0.000051s : 0.03% optimize.opt_a.get_grad_eliminate_ : 0.000048s : 0.03% optimize.opt_a.virtual_output : 0.000050s : 0.03% optimize.opt_a.merge_forward : 0.000025s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000024s : 0.01% optimize.opt_a.offload_activation : 0.000056s : 0.03% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000103s : 0.05% optimize.opt_a.merge_recompute_call_nodes : 0.000004s : 0.00% optimize.opt_a.before_grad : 0.000084s : 0.04% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000107s : 0.06% optimize.opt_a.meta_fg_expand : 0.000020s : 0.01% optimize.opt_a.flash_sp_send_recv_attached : 0.000008s : 0.00% optimize.opt_a.receive_attached : 0.000005s : 0.00% optimize.opt_a.after_resolve : 0.000087s : 0.05% optimize.opt_a.a_after_grad : 0.000091s : 0.05% optimize.opt_a.renormalize : 0.002107s : 1.12% optimize.opt_a.add_forward_monad_depend : 0.000027s : 0.01% optimize.opt_a.auto_monad_grad : 0.000008s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000105s : 0.06% optimize.opt_a.cse : 0.000277s : 0.15% optimize.opt_a.a_3 : 0.000359s : 0.19% optimize.py_interpret_to_execute_after_opt_a : 0.000036s : 0.02% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000256s : 0.14% optimize.convert_after_rewriter : 0.000023s : 0.01% optimize.order_py_execute_after_rewriter : 0.000014s : 0.01% optimize.mutable_eliminate : 0.000801s : 0.43% optimize.opt_b.b_1 : 0.000573s : 0.31% optimize.opt_b.b_2 : 0.000027s : 0.01% optimize.opt_b.updatestate_depend_eliminate : 0.000017s : 0.01% optimize.opt_b.updatestate_assign_eliminate : 0.000013s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000018s : 0.01% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000300s : 0.16% optimize.optimize_parallel_all_gather_comm : 0.000046s : 0.02% optimize.overlap_param_gather : 0.000004s : 0.00% optimize.cconv : 0.000039s : 0.02% optimize.loop_unroll : 0.000548s : 0.29% optimize.opt_after_cconv.c_1 : 0.000171s : 0.09% optimize.opt_after_cconv.parameter_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000015s : 0.01% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000010s : 0.01% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000016s : 0.01% optimize.opt_after_cconv.cse : 0.000272s : 0.14% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000079s : 0.04% optimize.tuple_transform.d_1 : 0.000219s : 0.12% optimize.tuple_transform.none_parameter_eliminate : 0.000005s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000026s : 0.01% optimize.partial_unused_args_eliminate : 0.000005s : 0.00% optimize.add_recomputation : 0.000002s : 0.00% optimize.cse_after_recomputation.cse : 0.000147s : 0.08% optimize.environ_conv : 0.000018s : 0.01% optimize.swap_dp_allreduce_reducescatter : 0.000021s : 0.01% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000005s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000001s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 0.00% optimize.assign_add_opt : 0.000001s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000003s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.00% optimize.comm_op_add_attrs : 0.000001s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000001s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000002s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000037s : 0.02% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000011s : 0.01% optimize.overlap_recompute_and_grad_model_parallel : 0.000010s : 0.01% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000002s : 0.00% optimize.overlap_recompute_comm : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000011s : 0.01% optimize.overlap_grad_flash_sp : 0.000086s : 0.05% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000014s : 0.01% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000037s : 0.02% optimize.symbol_engine_optimizer.elim_not_effective : 0.000044s : 0.02% optimize.symbol_engine_optimizer.opt_reshape : 0.000035s : 0.02% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000038s : 0.02% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000002s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000109s : 0.06% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000648s : 0.35% validate : 0.000078s : 0.04% Time group info: ------[substitution.] 0.000535 198 10.80% : 0.000058s : 12: substitution.arithmetic_simplify 0.66% : 0.000004s : 1: substitution.const_output_eliminate 2.09% : 0.000011s : 2: substitution.depend_value_elim 1.02% : 0.000005s : 13: substitution.elim_not_effective 0.95% : 0.000005s : 13: substitution.fold_const_symbol 5.14% : 0.000027s : 23: substitution.graph_param_transform 26.01% : 0.000139s : 11: substitution.inline 0.76% : 0.000004s : 2: substitution.inline_without_move 2.75% : 0.000015s : 26: substitution.j_node_and_user_rematch 4.02% : 0.000022s : 2: substitution.less_batch_normalization 2.09% : 0.000011s : 18: substitution.load_eliminater 5.19% : 0.000028s : 26: substitution.remove_not_recompute_node 1.97% : 0.000011s : 4: substitution.replace_applicator 2.74% : 0.000015s : 18: substitution.replace_old_param 1.67% : 0.000009s : 1: substitution.reset_defer_inline 12.47% : 0.000067s : 2: substitution.set_cell_output_no_recompute 1.22% : 0.000007s : 2: substitution.specialize_transform 3.43% : 0.000018s : 10: substitution.updatestate_pure_node_eliminater 15.02% : 0.000080s : 12: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.013077 2 88.73% : 0.011603s : 1: type_inference.infer 11.27% : 0.001474s : 1: type_inference.specialize ------[replace.] 0.000021 1 100.00% : 0.000021s : 1: replace.inline ------[match.] 0.000111 1 100.00% : 0.000111s : 1: match.inline ------[predicate.] 0.000775 5312 0.84% : 0.000007s : 48: predicate.accumulaten_eliminater 0.65% : 0.000005s : 23: predicate.ad_related_special_op_eliminate 0.82% : 0.000006s : 46: predicate.addn_check_dump 0.84% : 0.000006s : 48: predicate.addn_zero_filter 0.85% : 0.000007s : 48: predicate.adjust_all_reduce_mul_add 2.16% : 0.000017s : 94: predicate.arithmetic_simplify 0.84% : 0.000006s : 48: predicate.cast_eliminate 0.90% : 0.000007s : 46: predicate.check_bprop_eliminate 0.79% : 0.000006s : 46: predicate.compare_switch_simplify 0.25% : 0.000002s : 23: predicate.const_output_eliminate 0.84% : 0.000006s : 46: predicate.depend_value_elim 0.91% : 0.000007s : 48: predicate.dict_get_item_const_eliminator 0.98% : 0.000008s : 48: predicate.dict_get_item_eliminator 0.86% : 0.000007s : 48: predicate.dict_set_item_eliminator 0.93% : 0.000007s : 46: predicate.dumpgradient_eliminate 0.26% : 0.000002s : 23: predicate.elim_not_effective 0.51% : 0.000004s : 23: predicate.elim_shapecalc_of_broadcastargs 1.26% : 0.000010s : 71: predicate.environ_add_const_eliminate 1.17% : 0.000009s : 71: predicate.environ_get_add_eliminate 1.14% : 0.000009s : 71: predicate.environ_get_depend_swap 1.98% : 0.000015s : 117: predicate.environ_get_eliminate 1.15% : 0.000009s : 71: predicate.environ_get_set_eliminate 0.90% : 0.000007s : 49: predicate.exchange_switch_depend_value 1.27% : 0.000010s : 49: predicate.float_depend_g_call 0.86% : 0.000007s : 46: predicate.float_environ_get_switch 1.21% : 0.000009s : 69: predicate.float_tuple_getitem_switch 0.25% : 0.000002s : 23: predicate.fold_const_symbol 0.91% : 0.000007s : 46: predicate.get_grad_eliminate 0.32% : 0.000002s : 23: predicate.graph_param_transform 0.74% : 0.000006s : 46: predicate.incorporate_call 0.71% : 0.000006s : 46: predicate.incorporate_call_switch 4.97% : 0.000038s : 235: predicate.inline 1.04% : 0.000008s : 46: predicate.inline_without_move 0.47% : 0.000004s : 46: predicate.j_node_and_user_rematch 1.04% : 0.000008s : 48: predicate.less_batch_normalization 1.78% : 0.000014s : 94: predicate.list_to_tuple_eliminator_ 2.49% : 0.000019s : 142: predicate.load_eliminater 0.76% : 0.000006s : 23: predicate.loop_unroll_after_grad 1.16% : 0.000009s : 52: predicate.loop_unroll_before_grad 1.76% : 0.000014s : 94: predicate.make_slice_get_slice_eliminator 0.81% : 0.000006s : 46: predicate.merge_addn 0.79% : 0.000006s : 46: predicate.micro_step_allgather_replace 0.81% : 0.000006s : 46: predicate.mini_step_allgather_replace 0.79% : 0.000006s : 48: predicate.minmaximum_grad 0.80% : 0.000006s : 23: predicate.mutable_eliminate 0.48% : 0.000004s : 23: predicate.opt_reshape 0.49% : 0.000004s : 23: predicate.parallel_virtual_node 1.10% : 0.000009s : 49: predicate.partial_defer_inline 1.29% : 0.000010s : 71: predicate.partial_eliminate 0.83% : 0.000006s : 48: predicate.print_const_string_wrapper 0.85% : 0.000007s : 46: predicate.reduce_all_const_elim 1.06% : 0.000008s : 48: predicate.reduce_eliminate 2.39% : 0.000019s : 142: predicate.redundant_stop_gradient_eliminater 0.53% : 0.000004s : 46: predicate.remove_not_recompute_node 1.21% : 0.000009s : 94: predicate.replace_applicator 0.62% : 0.000005s : 46: predicate.replace_old_param 0.28% : 0.000002s : 23: predicate.reset_defer_inline 0.82% : 0.000006s : 48: predicate.reshape_eliminate 0.97% : 0.000008s : 46: predicate.row_tensor_add_zeros_like 0.44% : 0.000003s : 23: predicate.row_tensor_eliminate 0.97% : 0.000007s : 46: predicate.same_eliminate 0.61% : 0.000005s : 47: predicate.set_cell_output_no_recompute 1.00% : 0.000008s : 46: predicate.shard_identity_eliminate 0.87% : 0.000007s : 46: predicate.special_op_eliminate 0.93% : 0.000007s : 46: predicate.specialize_transform 1.04% : 0.000008s : 46: predicate.split_environ_get_set_with_tuple_value 0.94% : 0.000007s : 46: predicate.stack_unstack_eliminate 0.43% : 0.000003s : 23: predicate.switch_call_monad_eliminater 0.92% : 0.000007s : 49: predicate.switch_defer_inline 1.70% : 0.000013s : 95: predicate.switch_layer_defer_inline 5.27% : 0.000041s : 170: predicate.switch_simplify 0.84% : 0.000007s : 48: predicate.tile_eliminate 0.81% : 0.000006s : 48: predicate.transpose_eliminate 1.65% : 0.000013s : 94: predicate.tuple_list_convert_item_index_to_positive 1.77% : 0.000014s : 94: predicate.tuple_list_get_item_const_eliminator 1.66% : 0.000013s : 94: predicate.tuple_list_get_item_depend_reorder 2.76% : 0.000021s : 140: predicate.tuple_list_get_item_eliminator 1.70% : 0.000013s : 94: predicate.tuple_list_get_set_item_eliminator 2.59% : 0.000020s : 140: predicate.tuple_list_set_item_eliminator 1.72% : 0.000013s : 94: predicate.tuple_to_list_eliminator_ 2.38% : 0.000018s : 142: predicate.updatestate_pure_node_eliminater 3.41% : 0.000026s : 188: predicate.updatestate_useless_node_eliminater 0.42% : 0.000003s : 23: predicate.value_based_eliminate 0.88% : 0.000007s : 46: predicate.virtual_dataset_eliminate 0.91% : 0.000007s : 46: predicate.virtual_output_eliminate 0.37% : 0.000003s : 23: predicate.virtual_view_grad_eliminate 0.49% : 0.000004s : 23: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000859 6 2.89% : 0.000025s : 1: func_graph_cloner_run.FuncGraphClonerGraph 97.11% : 0.000834s : 5: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.545964 192 0.00% : 0.000004s : 1: ForceFp32Comm 1.42% : 0.007749s : 1: add_attr 1.42% : 0.007731s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.00% : 0.000005s : 1: add_recomputation 0.00% : 0.000005s : 1: assign_add_opt 0.06% : 0.000329s : 1: auto_monad 0.02% : 0.000114s : 1: auto_monad_reorder 0.00% : 0.000003s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.17% : 0.000903s : 1: bootstrap 0.01% : 0.000043s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.01% : 0.000040s : 1: control_data_broadcast_order 0.01% : 0.000028s : 1: convert_after_rewriter 0.03% : 0.000165s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000022s : 1: environ_conv 0.00% : 0.000026s : 1: event_method 0.00% : 0.000006s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.11% : 0.000582s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000008s : 1: inline 0.00% : 0.000006s : 1: insert-virtual-dataset 0.00% : 0.000005s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000007s : 1: label_fine_grained_interleaved_index 0.00% : 0.000008s : 1: label_micro_interleaved_index 0.10% : 0.000559s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.15% : 0.000812s : 1: mutable_eliminate 0.00% : 0.000014s : 1: offloading_packed_experts 0.01% : 0.000037s : 1: opt.transform.loop_unroll_optimizer 0.01% : 0.000038s : 1: opt.transform.mutable_eliminate 30.03% : 0.163934s : 78: opt.transform.opt_a 0.03% : 0.000170s : 1: opt.transform.opt_after_cconv 0.02% : 0.000085s : 1: opt.transform.opt_after_jit_grad 0.10% : 0.000562s : 28: opt.transform.opt_b 0.04% : 0.000242s : 2: opt.transform.opt_trans_graph 0.03% : 0.000149s : 4: opt.transform.symbol_engine_opt 30.93% : 0.168877s : 1: opt_a 0.10% : 0.000550s : 1: opt_after_cconv 0.12% : 0.000659s : 1: opt_after_jit_grad 0.18% : 0.001006s : 1: opt_b 31.81% : 0.173662s : 1: optimize 0.01% : 0.000051s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000018s : 1: order_py_execute_after_rewriter 0.02% : 0.000090s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000014s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000005s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000007s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000013s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000005s : 1: overlap_recompute_comm 0.00% : 0.000009s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000009s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.01% : 0.000047s : 1: pre_auto_parallel 0.01% : 0.000048s : 1: py_interpret_to_execute 0.01% : 0.000042s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000005s : 1: remove_cast_before_assign_add 0.02% : 0.000084s : 1: remove_dup_value 0.22% : 0.001178s : 1: renormalize.infer 0.17% : 0.000917s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.05% : 0.000264s : 1: rewriter_after_opt_a 0.02% : 0.000096s : 1: rewriter_before_opt_a 0.00% : 0.000006s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000024s : 1: swap_dp_allreduce_reducescatter 0.06% : 0.000304s : 1: symbol_engine_optimizer 0.05% : 0.000282s : 1: tuple_transform 2.42% : 0.013189s : 1: type_inference [WARNING] DEVICE(153128,ffff8bc0bf30,python3.9):2026-01-29-17:42:51.267.628 [mindspore/ccsrc/plugin/ascend/graph_optimizer/pass/heterogeneous/insert_move_to.cc:141] CollectOffloadedParameter] Skip backend inline node: @kernel_graph3:CNode_38{[0]: ValueNode CallInline, [1]: param_weight_3, [2]: param_weight_2, [3]: param_weight_1, [4]: param_x, [5]: ValueNode U} [WARNING] DEVICE(153128,ffff8bc0bf30,python3.9):2026-01-29-17:42:51.267.730 [mindspore/ccsrc/plugin/ascend/graph_optimizer/pass/heterogeneous/insert_move_to.cc:141] CollectOffloadedParameter] Skip backend inline node: @kernel_graph3:CNode_38{[0]: ValueNode CallInline, [1]: param_weight_3, [2]: param_weight_2, [3]: param_weight_1, [4]: param_x, [5]: ValueNode U} [WARNING] DEVICE(153128,ffff8bc0bf30,python3.9):2026-01-29-17:42:51.267.774 [mindspore/ccsrc/plugin/ascend/graph_optimizer/pass/heterogeneous/insert_move_to.cc:141] CollectOffloadedParameter] Skip backend inline node: @kernel_graph3:CNode_38{[0]: ValueNode CallInline, [1]: param_weight_3, [2]: param_weight_2, [3]: param_weight_1, [4]: param_x, [5]: ValueNode U} . [hook] pytest_runtest_teardown:test_swap_offload_store_key_check tests/st/auto_parallel/test_swap.py::test_swap_offload_store_key_check,max_mem:6.0M =============================== 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") test_swap.py::test_swap_offload_store_key_check /usr/local/Ascend/cann-8.5.0/python/site-packages/asc_op_compile_base/asc_op_compiler/ascendc_compile_gen_code.py:161: DeprecationWarning: invalid escape sequence \w match = re.search(f'{option}=(\w+)', ' '.join(compile_options)) -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 1 passed, 26 warnings in 371.08s (0:06:11) ==================