==================================================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/compiler/stream_event, configfile: ../../../../../../../sault/virtual_test/virtualenv_003/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_with_stream.py [WARNING] ME(172046:281473412546352,MainProcess):2026-01-29-17:38:09.534.298 [mindspore/context.py:1334] For 'context.set_context', the parameter 'save_graphs' will be deprecated and removed in a future version. Please use the env MS_DEV_SAVE_GRAPHS instead. [WARNING] ME(172046:281473412546352,MainProcess):2026-01-29-17:38:09.534.879 [mindspore/context.py:1334] For 'context.set_context', the parameter 'save_graphs_path' will be deprecated and removed in a future version. Please use the env MS_DEV_SAVE_GRAPHS_PATH instead. TotalTime = 1.33484, [21] [bootstrap]: 0.00064155 [type_inference]: 1.03058 [event_method]: 6.691e-05 [auto_monad]: 0.00019591 [graph_reusing]: 1.115e-05 [inline]: 2.66e-06 [add_attr]: 0.109478, [1] [add_attr_with_inline]: 0.109461, [1] [Cycle 1]: 0.00026302, [2] [tag_attr]: 0.00013429 [meta_addattr_fg_expand]: 1.589e-05 [parallel-infer-symbol]: 4.33001e-06 [pre_auto_parallel]: 0.00011017 [insert-virtual-dataset]: 3.14999e-06 [parallel-infer-symbol-second]: 6.89994e-07 [dataset_repeat_opt]: 2.55002e-06 [pipeline_split]: 2.00002e-06 [optimize]: 0.19185, [53] [py_interpret_to_execute]: 7.444e-05 [rewriter_before_opt_a]: 0.00024656 [opt_a]: 0.0137005, [3] [Cycle 1]: 0.00902284, [45] [expand_dump_flag]: 6.09999e-06 [switch_simplify]: 0.00018908 [loop_unroll]: 9.167e-05 [a_1]: 0.00270689 [with_stream_mark]: 0.00021264 [recompute_prepare]: 5.169e-05 [updatestate_depend_eliminate]: 1.727e-05 [updatestate_assign_eliminate]: 1.569e-05 [updatestate_loads_eliminate]: 1.499e-05 [parameter_eliminate]: 6.89999e-06 [a_2]: 0.00098087 [accelerated_algorithm]: 6.332e-05 [shard]: 2.54001e-06 [meta_shard_fg_expand]: 7.82998e-06 [shard_inline]: 2.225e-05 [merge_send_recv]: 2.067e-05 [auto_parallel]: 2.003e-05 [parallel]: 3.721e-05 [flash_sp]: 1.573e-05 [merge_comm]: 1.322e-05 [allreduce_fusion]: 1.273e-05 [matmul_add_comm_reduction]: 2.646e-05 [allreduce_slice_to_reducescatter]: 6.19999e-07 [virtual_shard_identity]: 2.508e-05 [virtual_dataset]: 2.127e-05 [get_grad_eliminate_]: 2.057e-05 [virtual_output]: 2.179e-05 [merge_forward]: 1.284e-05 [cell_reuse_recompute_pass]: 1.34e-06 [offload_activation]: 2.591e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.613e-05 [merge_recompute_call_nodes]: 1.56002e-06 [before_grad]: 4.04e-05 [set_forward_comm_id_for_comm_node_pass]: 1.37e-05 [meta_fg_expand]: 1.041e-05 [flash_sp_send_recv_attached]: 5.92999e-06 [receive_attached]: 1.455e-05 [after_resolve]: 2.828e-05 [a_after_grad]: 3.437e-05 [renormalize]: 0.00314759 [add_forward_monad_depend]: 1.1e-05 [auto_monad_grad]: 3.25002e-06 [auto_monad_eliminator]: 4.345e-05 [cse]: 0.00027081 [a_3]: 0.00014802 [Cycle 2]: 0.00314583, [45] [expand_dump_flag]: 2.14e-06 [switch_simplify]: 1.928e-05 [loop_unroll]: 1.569e-05 [a_1]: 0.00050074 [with_stream_mark]: 2.683e-05 [recompute_prepare]: 1.638e-05 [updatestate_depend_eliminate]: 1.127e-05 [updatestate_assign_eliminate]: 8.95001e-06 [updatestate_loads_eliminate]: 8.99998e-06 [parameter_eliminate]: 2.37999e-06 [a_2]: 0.00054096 [accelerated_algorithm]: 2.303e-05 [shard]: 2.35002e-06 [meta_shard_fg_expand]: 3.65e-06 [shard_inline]: 1.174e-05 [merge_send_recv]: 1.394e-05 [auto_parallel]: 1.414e-05 [parallel]: 9.12001e-06 [flash_sp]: 4.57e-06 [merge_comm]: 7.16999e-06 [allreduce_fusion]: 6.83e-06 [matmul_add_comm_reduction]: 1.663e-05 [allreduce_slice_to_reducescatter]: 7.2e-07 [virtual_shard_identity]: 1.353e-05 [virtual_dataset]: 1.161e-05 [get_grad_eliminate_]: 1.173e-05 [virtual_output]: 1.074e-05 [merge_forward]: 9.64999e-06 [cell_reuse_recompute_pass]: 2.83e-06 [offload_activation]: 1.704e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.16e-05 [merge_recompute_call_nodes]: 1.44e-06 [before_grad]: 2.248e-05 [set_forward_comm_id_for_comm_node_pass]: 8.26002e-06 [meta_fg_expand]: 5.40999e-06 [flash_sp_send_recv_attached]: 1.88002e-06 [receive_attached]: 2.20002e-06 [after_resolve]: 1.947e-05 [a_after_grad]: 2.055e-05 [renormalize]: 0.00100852 [add_forward_monad_depend]: 8.90999e-06 [auto_monad_grad]: 2.41e-06 [auto_monad_eliminator]: 2.621e-05 [cse]: 0.00011652 [a_3]: 0.00010726 [Cycle 3]: 0.00150051, [45] [expand_dump_flag]: 2.06e-06 [switch_simplify]: 1.499e-05 [loop_unroll]: 1.18e-05 [a_1]: 0.0003737 [with_stream_mark]: 1.927e-05 [recompute_prepare]: 1.321e-05 [updatestate_depend_eliminate]: 7.78999e-06 [updatestate_assign_eliminate]: 5.90002e-06 [updatestate_loads_eliminate]: 6.17999e-06 [parameter_eliminate]: 2.36e-06 [a_2]: 0.00020692 [accelerated_algorithm]: 2.19e-05 [shard]: 1.89e-06 [meta_shard_fg_expand]: 3.68e-06 [shard_inline]: 1.204e-05 [merge_send_recv]: 1.41e-05 [auto_parallel]: 1.396e-05 [parallel]: 9.61998e-06 [flash_sp]: 2.01e-06 [merge_comm]: 9.66998e-06 [allreduce_fusion]: 7.87998e-06 [matmul_add_comm_reduction]: 1.65e-05 [allreduce_slice_to_reducescatter]: 7.09988e-07 [virtual_shard_identity]: 1.389e-05 [virtual_dataset]: 1.235e-05 [get_grad_eliminate_]: 1.138e-05 [virtual_output]: 1.188e-05 [merge_forward]: 7.6e-06 [cell_reuse_recompute_pass]: 2.17001e-06 [offload_activation]: 1.53e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.787e-05 [merge_recompute_call_nodes]: 1.67001e-06 [before_grad]: 2.272e-05 [set_forward_comm_id_for_comm_node_pass]: 9.14e-06 [meta_fg_expand]: 5.03002e-06 [flash_sp_send_recv_attached]: 2.06e-06 [receive_attached]: 2.08002e-06 [after_resolve]: 1.839e-05 [a_after_grad]: 1.918e-05 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 4.1e-06 [auto_monad_grad]: 2.19999e-06 [auto_monad_eliminator]: 2.174e-05 [cse]: 4.998e-05 [a_3]: 9.668e-05 [py_interpret_to_execute_after_opt_a]: 2.828e-05 [slice_cell_reuse_recomputed_activation]: 4.97e-06 [rewriter_after_opt_a]: 0.00011399 [convert_after_rewriter]: 1.6e-05 [order_py_execute_after_rewriter]: 1.176e-05 [mutable_eliminate]: 0.174861 [opt_b]: 0.0005558, [1] [Cycle 1]: 0.00053736, [7] [b_1]: 0.00032324 [b_2]: 1.646e-05 [updatestate_depend_eliminate]: 2.471e-05 [updatestate_assign_eliminate]: 6.46e-06 [updatestate_loads_eliminate]: 6.67002e-06 [renormalize]: 8.10018e-07 [cse]: 9.072e-05 [optimize_parallel_all_gather_comm]: 4.817e-05 [overlap_param_gather]: 5.33002e-06 [cconv]: 5.537e-05 [loop_unroll]: 0.00071417 [opt_after_cconv]: 0.00022442, [1] [Cycle 1]: 0.00021038, [7] [c_1]: 6.803e-05 [parameter_eliminate]: 7.41001e-06 [updatestate_depend_eliminate]: 1.306e-05 [updatestate_assign_eliminate]: 6.03002e-06 [updatestate_loads_eliminate]: 5.99e-06 [cse]: 5.114e-05 [renormalize]: 5.69999e-07 [remove_dup_value]: 0.00011459 [tuple_transform]: 0.00016669, [1] [Cycle 1]: 0.00015693, [4] [d_1]: 0.00010521 [none_parameter_eliminate]: 3.51999e-06 [renormalize]: 2.20025e-07 [switch_simplify]: 1.429e-05 [partial_unused_args_eliminate]: 5.46e-06 [add_recomputation]: 0.00011371 [cse_after_recomputation]: 5.621e-05, [1] [Cycle 1]: 4.786e-05, [1] [cse]: 3.526e-05 [environ_conv]: 2.562e-05 [swap_dp_allreduce_reducescatter]: 1.313e-05 [bias_add_comm_swap]: 8.03001e-06 [label_micro_interleaved_index]: 9.46e-06 [label_fine_grained_interleaved_index]: 6.65002e-06 [merge_cast_opt]: 4.37e-06 [slice_recompute_activation]: 5.57999e-06 [micro_interleaved_order_control]: 5.04e-06 [assign_add_opt]: 4.82998e-06 [ForceFp32Comm]: 3.93001e-06 [remove_cast_before_assign_add]: 3.72998e-06 [full_micro_interleaved_order_control]: 5.56e-06 [reorder_send_recv_between_fp_bp]: 6.36e-06 [comm_op_add_attrs]: 4.24997e-06 [add_comm_op_reuse_tag]: 4.13999e-06 [interleave_split_concat_branches]: 4.60001e-06 [interleave_parallel_branches]: 3.73001e-06 [overlap_opt_shard_in_pipeline]: 3.118e-05 [overlap_opt_shard_grad_in_pipeline]: 4.91002e-06 [control_data_broadcast_order]: 2.816e-05 [grouped_pairwise_exchange_alltoall]: 4.23001e-06 [offloading_packed_experts]: 1.011e-05 [overlap_recompute_and_grad_model_parallel]: 1.026e-05 [overlap_grad_matmul_and_grad_allreduce]: 4.27998e-06 [overlap_recompute_allgather_and_fa_grad]: 4.52998e-06 [overlap_recompute_comm]: 5.79e-06 [overlap_grad_ring_attention]: 1.039e-05 [overlap_grad_flash_sp]: 5.774e-05 [begin_end_overlap_inline]: 3.21001e-06 [split_matmul_comm_elemetwise]: 4.89e-06 [split_layernorm_comm]: 4.46002e-06 [handle_group_info]: 4.35e-06 [symbol_engine_optimizer]: 0.00014819, [1] [Cycle 1]: 0.0001402, [6] [build]: 7.6e-06 [elim_shapecalc]: 1.952e-05 [elim_not_effective]: 2.661e-05 [opt_reshape]: 1.397e-05 [fold_const_symbol]: 2.357e-05 [renormalize]: 3.99974e-07 [detach_backward]: 6.88e-06 [pipeline_parallel_scheduler]: 2.41998e-06 [auto_monad_reorder]: 5.753e-05 [get_jit_bprop_graph]: 2.68e-06 [rewriter_after_jit_bprop_graph]: 6.68e-06 [opt_after_jit_grad]: 0.00085141 [validate]: 8.143e-05 Sums bootstrap : 0.000642s : 0.05% type_inference : 1.030584s : 84.29% event_method : 0.000067s : 0.01% auto_monad : 0.000196s : 0.02% graph_reusing : 0.000011s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000134s : 0.01% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000016s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000110s : 0.01% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000003s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000074s : 0.01% optimize.rewriter_before_opt_a : 0.000247s : 0.02% optimize.opt_a.expand_dump_flag : 0.000010s : 0.00% optimize.opt_a.switch_simplify : 0.000223s : 0.02% optimize.opt_a.loop_unroll : 0.000119s : 0.01% optimize.opt_a.a_1 : 0.003581s : 0.29% optimize.opt_a.with_stream_mark : 0.000259s : 0.02% optimize.opt_a.recompute_prepare : 0.000081s : 0.01% optimize.opt_a.updatestate_depend_eliminate : 0.000036s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000031s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000030s : 0.00% optimize.opt_a.parameter_eliminate : 0.000012s : 0.00% optimize.opt_a.a_2 : 0.001729s : 0.14% optimize.opt_a.accelerated_algorithm : 0.000108s : 0.01% optimize.opt_a.shard : 0.000007s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000015s : 0.00% optimize.opt_a.shard_inline : 0.000046s : 0.00% optimize.opt_a.merge_send_recv : 0.000049s : 0.00% optimize.opt_a.auto_parallel : 0.000048s : 0.00% optimize.opt_a.parallel : 0.000056s : 0.00% optimize.opt_a.flash_sp : 0.000022s : 0.00% optimize.opt_a.merge_comm : 0.000030s : 0.00% optimize.opt_a.allreduce_fusion : 0.000027s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000060s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000052s : 0.00% optimize.opt_a.virtual_dataset : 0.000045s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000044s : 0.00% optimize.opt_a.virtual_output : 0.000044s : 0.00% optimize.opt_a.merge_forward : 0.000030s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% optimize.opt_a.offload_activation : 0.000058s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000106s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000005s : 0.00% optimize.opt_a.before_grad : 0.000086s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000031s : 0.00% optimize.opt_a.meta_fg_expand : 0.000021s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000010s : 0.00% optimize.opt_a.receive_attached : 0.000019s : 0.00% optimize.opt_a.after_resolve : 0.000066s : 0.01% optimize.opt_a.a_after_grad : 0.000074s : 0.01% optimize.opt_a.renormalize : 0.004156s : 0.34% optimize.opt_a.add_forward_monad_depend : 0.000024s : 0.00% optimize.opt_a.auto_monad_grad : 0.000008s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000091s : 0.01% optimize.opt_a.cse : 0.000437s : 0.04% optimize.opt_a.a_3 : 0.000352s : 0.03% optimize.py_interpret_to_execute_after_opt_a : 0.000028s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000005s : 0.00% optimize.rewriter_after_opt_a : 0.000114s : 0.01% optimize.convert_after_rewriter : 0.000016s : 0.00% optimize.order_py_execute_after_rewriter : 0.000012s : 0.00% optimize.mutable_eliminate : 0.174861s : 14.30% optimize.opt_b.b_1 : 0.000323s : 0.03% optimize.opt_b.b_2 : 0.000016s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000025s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000006s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000007s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000091s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000048s : 0.00% optimize.overlap_param_gather : 0.000005s : 0.00% optimize.cconv : 0.000055s : 0.00% optimize.loop_unroll : 0.000714s : 0.06% optimize.opt_after_cconv.c_1 : 0.000068s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000006s : 0.00% optimize.opt_after_cconv.cse : 0.000051s : 0.00% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000115s : 0.01% optimize.tuple_transform.d_1 : 0.000105s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000004s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000014s : 0.00% optimize.partial_unused_args_eliminate : 0.000005s : 0.00% optimize.add_recomputation : 0.000114s : 0.01% optimize.cse_after_recomputation.cse : 0.000035s : 0.00% optimize.environ_conv : 0.000026s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000013s : 0.00% optimize.bias_add_comm_swap : 0.000008s : 0.00% optimize.label_micro_interleaved_index : 0.000009s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000007s : 0.00% optimize.merge_cast_opt : 0.000004s : 0.00% optimize.slice_recompute_activation : 0.000006s : 0.00% optimize.micro_interleaved_order_control : 0.000005s : 0.00% optimize.assign_add_opt : 0.000005s : 0.00% optimize.ForceFp32Comm : 0.000004s : 0.00% optimize.remove_cast_before_assign_add : 0.000004s : 0.00% optimize.full_micro_interleaved_order_control : 0.000006s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000006s : 0.00% optimize.comm_op_add_attrs : 0.000004s : 0.00% optimize.add_comm_op_reuse_tag : 0.000004s : 0.00% optimize.interleave_split_concat_branches : 0.000005s : 0.00% optimize.interleave_parallel_branches : 0.000004s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000031s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000005s : 0.00% optimize.control_data_broadcast_order : 0.000028s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000004s : 0.00% optimize.offloading_packed_experts : 0.000010s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000010s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000004s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000005s : 0.00% optimize.overlap_recompute_comm : 0.000006s : 0.00% optimize.overlap_grad_ring_attention : 0.000010s : 0.00% optimize.overlap_grad_flash_sp : 0.000058s : 0.00% optimize.begin_end_overlap_inline : 0.000003s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000005s : 0.00% optimize.split_layernorm_comm : 0.000004s : 0.00% optimize.handle_group_info : 0.000004s : 0.00% optimize.symbol_engine_optimizer.build : 0.000008s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000020s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000027s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000014s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000024s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000007s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000058s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000851s : 0.07% validate : 0.000081s : 0.01% Time group info: ------[substitution.] 0.001339 219 21.54% : 0.000289s : 46: substitution.arithmetic_simplify 1.54% : 0.000021s : 12: substitution.depend_value_elim 0.32% : 0.000004s : 8: substitution.elim_not_effective 0.27% : 0.000004s : 8: substitution.fold_const_symbol 0.87% : 0.000012s : 10: substitution.graph_param_transform 65.36% : 0.000875s : 29: substitution.inline 1.26% : 0.000017s : 32: substitution.j_node_and_user_rematch 3.00% : 0.000040s : 15: substitution.less_batch_normalization 0.47% : 0.000006s : 8: substitution.redundant_stop_gradient_eliminater 1.81% : 0.000024s : 32: substitution.remove_not_recompute_node 0.31% : 0.000004s : 4: substitution.replace_applicator 0.83% : 0.000011s : 6: substitution.replace_old_param 0.49% : 0.000007s : 4: substitution.set_cell_output_no_recompute 1.17% : 0.000016s : 4: substitution.specialize_transform 0.78% : 0.000010s : 1: substitution.switch_simplify ------[type_inference.] 1.030442 2 99.65% : 1.026797s : 1: type_inference.infer 0.35% : 0.003646s : 1: type_inference.specialize ------[replace.] 0.000337 26 15.74% : 0.000053s : 4: replace.depend_value_elim 67.60% : 0.000228s : 21: replace.inline 16.65% : 0.000056s : 1: replace.switch_simplify ------[match.] 0.000849 26 0.59% : 0.000005s : 4: match.depend_value_elim 98.29% : 0.000835s : 21: match.inline 1.12% : 0.000010s : 1: match.switch_simplify ------[predicate.] 0.000983 6150 1.00% : 0.000010s : 70: predicate.accumulaten_eliminater 0.53% : 0.000005s : 10: predicate.ad_related_special_op_eliminate 1.16% : 0.000011s : 82: predicate.addn_check_dump 1.01% : 0.000010s : 70: predicate.addn_zero_filter 0.97% : 0.000010s : 70: predicate.adjust_all_reduce_mul_add 2.80% : 0.000028s : 140: predicate.arithmetic_simplify 1.05% : 0.000010s : 70: predicate.cast_eliminate 0.54% : 0.000005s : 34: predicate.check_bprop_eliminate 1.22% : 0.000012s : 82: predicate.compare_switch_simplify 0.08% : 0.000001s : 10: predicate.const_output_eliminate 1.19% : 0.000012s : 73: predicate.depend_value_elim 1.03% : 0.000010s : 70: predicate.dict_get_item_const_eliminator 1.13% : 0.000011s : 70: predicate.dict_get_item_eliminator 0.98% : 0.000010s : 70: predicate.dict_set_item_eliminator 0.39% : 0.000004s : 20: predicate.dumpgradient_eliminate 0.09% : 0.000001s : 10: predicate.elim_not_effective 0.17% : 0.000002s : 10: predicate.elim_shapecalc_of_broadcastargs 1.14% : 0.000011s : 80: predicate.environ_add_const_eliminate 1.10% : 0.000011s : 80: predicate.environ_get_add_eliminate 1.10% : 0.000011s : 80: predicate.environ_get_depend_swap 2.52% : 0.000025s : 150: predicate.environ_get_eliminate 1.10% : 0.000011s : 80: predicate.environ_get_set_eliminate 1.22% : 0.000012s : 87: predicate.exchange_switch_depend_value 1.87% : 0.000018s : 87: predicate.float_depend_g_call 1.17% : 0.000011s : 82: predicate.float_environ_get_switch 1.30% : 0.000013s : 92: predicate.float_tuple_getitem_switch 0.08% : 0.000001s : 10: predicate.fold_const_symbol 0.61% : 0.000006s : 38: predicate.get_grad_eliminate 0.15% : 0.000001s : 10: predicate.graph_param_transform 1.04% : 0.000010s : 70: predicate.incorporate_call 0.95% : 0.000009s : 70: predicate.incorporate_call_switch 5.85% : 0.000057s : 293: predicate.inline 0.76% : 0.000007s : 38: predicate.inline_without_move 0.28% : 0.000003s : 38: predicate.j_node_and_user_rematch 0.78% : 0.000008s : 38: predicate.less_batch_normalization 1.37% : 0.000013s : 90: predicate.list_to_tuple_eliminator_ 2.42% : 0.000024s : 160: predicate.load_eliminater 0.49% : 0.000005s : 10: predicate.loop_unroll_after_grad 2.41% : 0.000024s : 112: predicate.loop_unroll_before_grad 1.37% : 0.000014s : 90: predicate.make_slice_get_slice_eliminator 1.20% : 0.000012s : 82: predicate.merge_addn 0.53% : 0.000005s : 34: predicate.micro_step_allgather_replace 0.54% : 0.000005s : 34: predicate.mini_step_allgather_replace 0.92% : 0.000009s : 70: predicate.minmaximum_grad 1.07% : 0.000011s : 10: predicate.mutable_eliminate 0.17% : 0.000002s : 10: predicate.opt_reshape 0.20% : 0.000002s : 10: predicate.parallel_virtual_node 2.04% : 0.000020s : 87: predicate.partial_defer_inline 1.25% : 0.000012s : 80: predicate.partial_eliminate 1.06% : 0.000010s : 70: predicate.print_const_string_wrapper 0.96% : 0.000009s : 66: predicate.reduce_all_const_elim 1.27% : 0.000012s : 70: predicate.reduce_eliminate 2.53% : 0.000025s : 160: predicate.redundant_stop_gradient_eliminater 0.43% : 0.000004s : 38: predicate.remove_not_recompute_node 1.12% : 0.000011s : 104: predicate.replace_applicator 0.42% : 0.000004s : 38: predicate.replace_old_param 0.15% : 0.000001s : 10: predicate.reset_defer_inline 0.99% : 0.000010s : 70: predicate.reshape_eliminate 0.55% : 0.000005s : 34: predicate.row_tensor_add_zeros_like 0.18% : 0.000002s : 10: predicate.row_tensor_eliminate 0.65% : 0.000006s : 34: predicate.same_eliminate 0.54% : 0.000005s : 54: predicate.set_cell_output_no_recompute 0.67% : 0.000007s : 38: predicate.shard_identity_eliminate 0.37% : 0.000004s : 20: predicate.special_op_eliminate 1.41% : 0.000014s : 82: predicate.specialize_transform 0.87% : 0.000009s : 34: predicate.split_environ_get_set_with_tuple_value 0.71% : 0.000007s : 38: predicate.stack_unstack_eliminate 0.16% : 0.000002s : 10: predicate.switch_call_monad_eliminater 1.36% : 0.000013s : 87: predicate.switch_defer_inline 1.84% : 0.000018s : 121: predicate.switch_layer_defer_inline 5.40% : 0.000053s : 293: predicate.switch_simplify 1.02% : 0.000010s : 70: predicate.tile_eliminate 0.97% : 0.000010s : 70: predicate.transpose_eliminate 1.55% : 0.000015s : 90: predicate.tuple_list_convert_item_index_to_positive 1.57% : 0.000015s : 90: predicate.tuple_list_get_item_const_eliminator 1.42% : 0.000014s : 90: predicate.tuple_list_get_item_depend_reorder 2.91% : 0.000029s : 160: predicate.tuple_list_get_item_eliminator 1.40% : 0.000014s : 90: predicate.tuple_list_get_set_item_eliminator 2.60% : 0.000026s : 160: predicate.tuple_list_set_item_eliminator 1.31% : 0.000013s : 90: predicate.tuple_to_list_eliminator_ 2.14% : 0.000021s : 160: predicate.updatestate_pure_node_eliminater 3.22% : 0.000032s : 230: predicate.updatestate_useless_node_eliminater 0.19% : 0.000002s : 10: predicate.value_based_eliminate 0.69% : 0.000007s : 38: predicate.virtual_dataset_eliminate 0.62% : 0.000006s : 38: predicate.virtual_output_eliminate 0.15% : 0.000002s : 10: predicate.virtual_view_grad_eliminate 0.28% : 0.000003s : 10: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003013 33 43.56% : 0.001313s : 11: func_graph_cloner_run.FuncGraphClonerGraph 8.53% : 0.000257s : 3: func_graph_cloner_run.FuncGraphClonerNode 47.91% : 0.001444s : 19: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.647105 267 0.00% : 0.000007s : 1: ForceFp32Comm 6.65% : 0.109494s : 1: add_attr 6.65% : 0.109466s : 1: add_attr_with_inline 0.00% : 0.000007s : 1: add_comm_op_reuse_tag 0.01% : 0.000118s : 1: add_recomputation 0.00% : 0.000008s : 1: assign_add_opt 0.01% : 0.000210s : 1: auto_monad 0.00% : 0.000068s : 1: auto_monad_reorder 0.00% : 0.000008s : 1: begin_end_overlap_inline 0.00% : 0.000011s : 1: bias_add_comm_swap 0.04% : 0.000717s : 1: bootstrap 0.00% : 0.000059s : 1: cconv 0.00% : 0.000008s : 1: comm_op_add_attrs 0.00% : 0.000031s : 1: control_data_broadcast_order 0.00% : 0.000020s : 1: convert_after_rewriter 0.00% : 0.000060s : 1: cse_after_recomputation 0.00% : 0.000009s : 1: dataset_repeat_opt 0.00% : 0.000032s : 1: detach_backward 0.00% : 0.000029s : 1: environ_conv 0.00% : 0.000082s : 1: event_method 0.00% : 0.000008s : 1: full_micro_interleaved_order_control 0.00% : 0.000009s : 1: get_jit_bprop_graph 0.00% : 0.000019s : 1: graph_reusing 0.00% : 0.000008s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000007s : 1: handle_group_info 0.00% : 0.000009s : 1: inline 0.00% : 0.000011s : 1: insert-virtual-dataset 0.00% : 0.000006s : 1: interleave_parallel_branches 0.00% : 0.000008s : 1: interleave_split_concat_branches 0.00% : 0.000010s : 1: label_fine_grained_interleaved_index 0.00% : 0.000012s : 1: label_micro_interleaved_index 0.04% : 0.000722s : 1: loop_unroll 0.00% : 0.000007s : 1: merge_cast_opt 0.00% : 0.000008s : 1: micro_interleaved_order_control 10.62% : 0.174876s : 1: mutable_eliminate 0.00% : 0.000013s : 1: offloading_packed_experts 0.00% : 0.000031s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000057s : 1: opt.transform.mutable_eliminate 0.39% : 0.006352s : 151: opt.transform.opt_a 0.00% : 0.000066s : 1: opt.transform.opt_after_cconv 0.00% : 0.000055s : 1: opt.transform.opt_after_jit_grad 0.02% : 0.000257s : 28: opt.transform.opt_b 0.01% : 0.000116s : 2: opt.transform.opt_trans_graph 0.00% : 0.000079s : 4: opt.transform.symbol_engine_opt 0.83% : 0.013704s : 1: opt_a 0.01% : 0.000229s : 1: opt_after_cconv 0.05% : 0.000864s : 1: opt_after_jit_grad 0.03% : 0.000561s : 1: opt_b 11.68% : 0.192382s : 1: optimize 0.00% : 0.000052s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000015s : 1: order_py_execute_after_rewriter 0.00% : 0.000061s : 1: overlap_grad_flash_sp 0.00% : 0.000007s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000013s : 1: overlap_grad_ring_attention 0.00% : 0.000008s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000035s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000009s : 1: overlap_param_gather 0.00% : 0.000007s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000013s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000009s : 1: overlap_recompute_comm 0.00% : 0.000012s : 1: parallel-infer-symbol 0.00% : 0.000007s : 1: parallel-infer-symbol-second 0.00% : 0.000009s : 1: partial_unused_args_eliminate 0.00% : 0.000011s : 1: pipeline_parallel_scheduler 0.00% : 0.000008s : 1: pipeline_split 0.01% : 0.000122s : 1: pre_auto_parallel 0.00% : 0.000079s : 1: py_interpret_to_execute 0.00% : 0.000032s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000006s : 1: remove_cast_before_assign_add 0.01% : 0.000120s : 1: remove_dup_value 0.15% : 0.002408s : 2: renormalize.infer 0.10% : 0.001723s : 2: renormalize.specialize 0.00% : 0.000012s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000121s : 1: rewriter_after_opt_a 0.02% : 0.000253s : 1: rewriter_before_opt_a 0.00% : 0.000008s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000008s : 1: slice_recompute_activation 0.00% : 0.000007s : 1: split_layernorm_comm 0.00% : 0.000008s : 1: split_matmul_comm_elemetwise 0.00% : 0.000016s : 1: swap_dp_allreduce_reducescatter 0.01% : 0.000151s : 1: symbol_engine_optimizer 0.01% : 0.000170s : 1: tuple_transform 62.57% : 1.030641s : 1: type_inference [WARNING] ME(172046:281473412546352,MainProcess):2026-01-29-17:38:24.681.47 [mindspore/context.py:1334] For 'context.set_context', the parameter 'save_graphs' will be deprecated and removed in a future version. Please use the env MS_DEV_SAVE_GRAPHS instead. TotalTime = 2.09822, [30] [bootstrap]: 0.00043226 [type_inference]: 0.812126 [event_method]: 7.007e-05 [auto_monad]: 0.00024096 [graph_reusing]: 1.318e-05 [pre_auto_parallel]: 4.80999e-06 [py_interpret_to_execute]: 8.484e-05 [rewriter_before_opt_a]: 0.00026468 [expand_dump_flag]: 6.63998e-06 [jit_opt_a]: 1.28094, [3] [Cycle 1]: 0.906365, [27] [switch_simplify]: 0.00030538 [loop_unroll]: 0.00012142 [a_1]: 0.00373514 [with_stream_mark]: 0.00025211 [recompute_prepare]: 7.35e-05 [updatestate_depend_eliminate]: 4.387e-05 [updatestate_assign_eliminate]: 2.179e-05 [updatestate_loads_eliminate]: 2.002e-05 [parameter_eliminate]: 8.55999e-06 [specialize_transform]: 6.789e-05 [updatestate_useless_node_eliminater]: 3.877e-05 [accelerated_algorithm]: 0.00012006 [meta_shard_fg_expand]: 1.717e-05 [get_grad_eliminate_]: 4.188e-05 [merge_forward]: 2.816e-05 [cell_reuse_recompute_pass]: 2.62001e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.032e-05 [j_node_and_user_rematch]: 7.285e-05 [meta_fg_expand]: 0.254907, [1] [partial_eliminate_before_grad]: 0.00035712, [1] [Cycle 1]: 0.0003431, [1] [partial_eliminate_]: 0.00031068 [replace_old_param]: 0.00040066 [inline_without_move]: 0.00047372 [renormalize]: 0.643227 [add_forward_monad_depend]: 8.415e-05 [auto_monad_grad]: 4.601e-05 [auto_monad_eliminator]: 0.00030321 [cse]: 0.00083804 [replace_applicator]: 0.00058146 [Cycle 2]: 0.165208, [27] [switch_simplify]: 0.00024201 [loop_unroll]: 0.00023473 [a_1]: 0.00349686 [with_stream_mark]: 3.29e-05 [recompute_prepare]: 1.629e-05 [updatestate_depend_eliminate]: 7.28e-06 [updatestate_assign_eliminate]: 6.02999e-06 [updatestate_loads_eliminate]: 5.15001e-06 [parameter_eliminate]: 2.55002e-06 [specialize_transform]: 1.168e-05 [updatestate_useless_node_eliminater]: 1.035e-05 [accelerated_algorithm]: 3.084e-05 [meta_shard_fg_expand]: 5.74e-06 [get_grad_eliminate_]: 1.08e-05 [merge_forward]: 7.13e-06 [cell_reuse_recompute_pass]: 1.27999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.497e-05 [j_node_and_user_rematch]: 1.831e-05 [meta_fg_expand]: 0.00012791 [replace_old_param]: 1.812e-05 [inline_without_move]: 1.122e-05 [renormalize]: 0.160153 [add_forward_monad_depend]: 1.479e-05 [auto_monad_grad]: 3.48999e-06 [auto_monad_eliminator]: 3.753e-05 [cse]: 0.00036068 [replace_applicator]: 4.067e-05 [Cycle 3]: 0.0010222, [27] [switch_simplify]: 1.655e-05 [loop_unroll]: 1.229e-05 [a_1]: 0.00047511 [with_stream_mark]: 2.989e-05 [recompute_prepare]: 1.434e-05 [updatestate_depend_eliminate]: 7.55e-06 [updatestate_assign_eliminate]: 6.99001e-06 [updatestate_loads_eliminate]: 5.37001e-06 [parameter_eliminate]: 2.53e-06 [specialize_transform]: 1.156e-05 [updatestate_useless_node_eliminater]: 1.185e-05 [accelerated_algorithm]: 1.893e-05 [meta_shard_fg_expand]: 4.28999e-06 [get_grad_eliminate_]: 1.055e-05 [merge_forward]: 6.94001e-06 [cell_reuse_recompute_pass]: 3.68e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.024e-05 [j_node_and_user_rematch]: 1.817e-05 [meta_fg_expand]: 6.54999e-06 [replace_old_param]: 1.64e-05 [inline_without_move]: 9.77999e-06 [renormalize]: 1.29978e-07 [add_forward_monad_depend]: 3.43999e-06 [auto_monad_grad]: 2.26e-06 [auto_monad_eliminator]: 2.075e-05 [cse]: 0.0001055 [replace_applicator]: 1.618e-05 [py_interpret_to_execute_after_opt_a]: 2.803e-05 [rewriter_after_opt_a]: 7.48e-05 [convert_after_rewriter]: 1.186e-05 [order_py_execute_after_rewriter]: 7.55998e-06 [mutable_eliminate]: 0.00097299 [jit_opt_b]: 9.796e-05, [1] [Cycle 1]: 8.512e-05, [2] [frontend_op_eliminate]: 3.623e-05 [inline_after_opt_a]: 3.231e-05 [cconv]: 3.929e-05 [loop_unroll]: 0.00051921 [jit_opt_after_cconv]: 0.00028726, [1] [Cycle 1]: 0.00027789, [11] [c_1]: 5.238e-05 [parameter_eliminate]: 4.50001e-06 [updatestate_depend_eliminate]: 1.453e-05 [updatestate_assign_eliminate]: 5.64998e-06 [updatestate_loads_eliminate]: 5.49998e-06 [cse]: 6.578e-05 [call_graph_tuple_transform]: 3.911e-05 [tuple_list_get_item_eliminator]: 1.255e-05 [none_parameter_eliminate]: 2.14e-06 [renormalize]: 6.19999e-07 [switch_simplify]: 1.153e-05 [remove_dup_value]: 7.935e-05 [partial_unused_args_eliminate]: 3.32002e-06 [environ_conv]: 1.302e-05 [add_recomputation]: 9.515e-05 [cse_after_recomputation]: 5.292e-05, [1] [Cycle 1]: 4.397e-05, [1] [cse]: 3.439e-05 [auto_monad_reorder]: 2.735e-05 [get_jit_bprop_graph]: 2.96001e-06 [rewriter_after_jit_bprop_graph]: 0.00023343 [opt_after_jit_grad]: 0.0006934 [symbol_engine_optimizer]: 0.00013022, [1] [Cycle 1]: 0.00012262, [6] [build]: 1.649e-05 [elim_shapecalc]: 1.609e-05 [elim_not_effective]: 2.567e-05 [opt_reshape]: 1.118e-05 [fold_const_symbol]: 2.047e-05 [renormalize]: 5.59987e-07 [validate]: 5.735e-05 Sums bootstrap : 0.000432s : 0.03% type_inference : 0.812126s : 49.71% event_method : 0.000070s : 0.00% auto_monad : 0.000241s : 0.01% graph_reusing : 0.000013s : 0.00% pre_auto_parallel : 0.000005s : 0.00% py_interpret_to_execute : 0.000085s : 0.01% rewriter_before_opt_a : 0.000265s : 0.02% expand_dump_flag : 0.000007s : 0.00% jit_opt_a.switch_simplify : 0.000564s : 0.03% jit_opt_a.loop_unroll : 0.000368s : 0.02% jit_opt_a.a_1 : 0.007707s : 0.47% jit_opt_a.with_stream_mark : 0.000315s : 0.02% jit_opt_a.recompute_prepare : 0.000104s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000059s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000035s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000031s : 0.00% jit_opt_a.parameter_eliminate : 0.000014s : 0.00% jit_opt_a.specialize_transform : 0.000091s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000061s : 0.00% jit_opt_a.accelerated_algorithm : 0.000170s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000027s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000063s : 0.00% jit_opt_a.merge_forward : 0.000042s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000008s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000136s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000109s : 0.01% jit_opt_a.meta_fg_expand : 0.000134s : 0.01% jit_opt_a.meta_fg_expand.partial_eliminate_before_grad.partial_eliminate_ : 0.000311s : 0.02% jit_opt_a.replace_old_param : 0.000435s : 0.03% jit_opt_a.inline_without_move : 0.000495s : 0.03% jit_opt_a.renormalize : 0.803380s : 49.18% jit_opt_a.add_forward_monad_depend : 0.000102s : 0.01% jit_opt_a.auto_monad_grad : 0.000052s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000361s : 0.02% jit_opt_a.cse : 0.001304s : 0.08% jit_opt_a.replace_applicator : 0.000638s : 0.04% py_interpret_to_execute_after_opt_a : 0.000028s : 0.00% rewriter_after_opt_a : 0.000075s : 0.00% convert_after_rewriter : 0.000012s : 0.00% order_py_execute_after_rewriter : 0.000008s : 0.00% mutable_eliminate : 0.000973s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000036s : 0.00% jit_opt_b.inline_after_opt_a : 0.000032s : 0.00% cconv : 0.000039s : 0.00% loop_unroll : 0.000519s : 0.03% jit_opt_after_cconv.c_1 : 0.000052s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000015s : 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 : 0.000066s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000039s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000013s : 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 : 0.000012s : 0.00% remove_dup_value : 0.000079s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000013s : 0.00% add_recomputation : 0.000095s : 0.01% cse_after_recomputation.cse : 0.000034s : 0.00% auto_monad_reorder : 0.000027s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000233s : 0.01% opt_after_jit_grad : 0.000693s : 0.04% symbol_engine_optimizer.build : 0.000016s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000016s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000026s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000020s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000057s : 0.00% Time group info: ------[substitution.] 0.003690 392 0.40% : 0.000015s : 2: substitution.addn_check_dump 1.01% : 0.000037s : 2: substitution.addn_zero_filter 6.14% : 0.000227s : 14: substitution.arithmetic_simplify 0.51% : 0.000019s : 5: substitution.depend_value_elim 0.09% : 0.000003s : 6: substitution.elim_not_effective 0.12% : 0.000004s : 6: substitution.fold_const_symbol 22.29% : 0.000823s : 4: substitution.getattr_setattr_resolve 0.28% : 0.000010s : 7: substitution.graph_param_transform 46.47% : 0.001715s : 39: substitution.inline 4.19% : 0.000155s : 20: substitution.inline_without_move 0.62% : 0.000023s : 42: substitution.j_node_and_user_rematch 2.39% : 0.000088s : 9: substitution.less_batch_normalization 1.31% : 0.000048s : 2: substitution.merge_addn 0.54% : 0.000020s : 12: substitution.minmaximum_grad 1.30% : 0.000048s : 11: substitution.partial_eliminate 0.15% : 0.000005s : 4: substitution.redundant_stop_gradient_eliminater 0.81% : 0.000030s : 42: substitution.remove_not_recompute_node 4.91% : 0.000181s : 55: substitution.replace_applicator 0.91% : 0.000034s : 49: substitution.replace_old_param 0.26% : 0.000009s : 5: substitution.set_cell_output_no_recompute 0.52% : 0.000019s : 4: substitution.specialize_transform 0.35% : 0.000013s : 1: substitution.switch_simplify 1.22% : 0.000045s : 12: substitution.tuple_list_convert_item_index_to_positive 0.77% : 0.000028s : 12: substitution.tuple_list_get_item_depend_reorder 2.44% : 0.000090s : 27: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.811652 2 98.57% : 0.800008s : 1: type_inference.infer 1.43% : 0.011643s : 1: type_inference.specialize ------[replace.] 0.001456 61 5.08% : 0.000074s : 3: replace.getattr_setattr_resolve 30.06% : 0.000438s : 35: replace.inline 5.41% : 0.000079s : 4: replace.partial_eliminate 6.01% : 0.000087s : 3: replace.replace_applicator 4.34% : 0.000063s : 1: replace.switch_simplify 49.09% : 0.000715s : 15: replace.tuple_list_get_item_eliminator ------[match.] 0.002572 61 29.86% : 0.000768s : 3: match.getattr_setattr_resolve 65.28% : 0.001679s : 35: match.inline 1.27% : 0.000033s : 4: match.partial_eliminate 1.34% : 0.000034s : 3: match.replace_applicator 0.45% : 0.000012s : 1: match.switch_simplify 1.79% : 0.000046s : 15: match.tuple_list_get_item_eliminator ------[predicate.] 0.001222 7649 1.57% : 0.000019s : 111: predicate.accumulaten_eliminater 0.29% : 0.000004s : 7: predicate.ad_related_special_op_eliminate 1.16% : 0.000014s : 111: predicate.addn_check_dump 1.45% : 0.000018s : 111: predicate.addn_zero_filter 2.52% : 0.000031s : 111: predicate.arithmetic_simplify 1.30% : 0.000016s : 111: predicate.cast_eliminate 0.11% : 0.000001s : 7: predicate.check_bprop_eliminate 1.17% : 0.000014s : 111: predicate.compare_switch_simplify 1.39% : 0.000017s : 111: predicate.depend_value_elim 1.20% : 0.000015s : 111: predicate.dict_get_item_const_eliminator 1.38% : 0.000017s : 111: predicate.dict_get_item_eliminator 1.20% : 0.000015s : 111: predicate.dict_set_item_eliminator 0.16% : 0.000002s : 7: predicate.dumpgradient_eliminate 0.08% : 0.000001s : 7: predicate.elim_not_effective 0.14% : 0.000002s : 7: predicate.elim_shapecalc_of_broadcastargs 0.43% : 0.000005s : 45: predicate.eliminate_switch_conditional_partial_ 0.43% : 0.000005s : 45: predicate.eliminate_switch_layer_partial_ 0.44% : 0.000005s : 45: predicate.eliminate_switch_partial_ 1.20% : 0.000015s : 111: predicate.environ_add_const_eliminate 1.20% : 0.000015s : 111: predicate.environ_get_add_eliminate 1.22% : 0.000015s : 111: predicate.environ_get_depend_swap 1.23% : 0.000015s : 111: predicate.environ_get_eliminate 1.17% : 0.000014s : 111: predicate.environ_get_set_eliminate 0.05% : 0.000001s : 7: predicate.fold_const_symbol 0.73% : 0.000009s : 53: predicate.get_grad_eliminate 0.57% : 0.000007s : 20: predicate.getattr_setattr_resolve 0.06% : 0.000001s : 7: predicate.graph_param_transform 4.23% : 0.000052s : 175: predicate.inline 4.59% : 0.000056s : 318: predicate.inline_without_move 0.30% : 0.000004s : 53: predicate.j_node_and_user_rematch 0.90% : 0.000011s : 53: predicate.less_batch_normalization 1.58% : 0.000019s : 126: predicate.list_to_tuple_eliminator_ 1.67% : 0.000020s : 133: predicate.load_eliminater 0.34% : 0.000004s : 7: predicate.loop_unroll_after_grad 4.74% : 0.000058s : 381: predicate.loop_unroll_before_grad 1.64% : 0.000020s : 118: predicate.make_slice_get_slice_eliminator 1.21% : 0.000015s : 111: predicate.merge_addn 1.32% : 0.000016s : 111: predicate.minmaximum_grad 0.46% : 0.000006s : 7: predicate.mutable_eliminate 0.11% : 0.000001s : 7: predicate.opt_reshape 3.17% : 0.000039s : 182: predicate.partial_eliminate 1.14% : 0.000014s : 111: predicate.print_const_string_wrapper 1.70% : 0.000021s : 111: predicate.reduce_eliminate 1.60% : 0.000020s : 126: predicate.redundant_stop_gradient_eliminater 0.36% : 0.000004s : 53: predicate.remove_not_recompute_node 3.17% : 0.000039s : 392: predicate.replace_applicator 2.05% : 0.000025s : 318: predicate.replace_old_param 0.06% : 0.000001s : 7: predicate.reset_defer_inline 1.24% : 0.000015s : 111: predicate.reshape_eliminate 1.25% : 0.000015s : 111: predicate.row_tensor_add_zeros_like 0.15% : 0.000002s : 7: predicate.row_tensor_eliminate 1.37% : 0.000017s : 111: predicate.same_eliminate 0.41% : 0.000005s : 53: predicate.set_cell_output_no_recompute 0.24% : 0.000003s : 14: predicate.special_op_eliminate 0.80% : 0.000010s : 53: predicate.specialize_transform 1.49% : 0.000018s : 111: predicate.split_environ_get_set_with_tuple_value 1.23% : 0.000015s : 111: predicate.stack_unstack_eliminate 0.11% : 0.000001s : 7: predicate.switch_call_monad_eliminater 3.41% : 0.000042s : 161: predicate.switch_defer_inline 2.17% : 0.000026s : 161: predicate.switch_layer_defer_inline 7.91% : 0.000097s : 551: predicate.switch_simplify 1.24% : 0.000015s : 111: predicate.tile_eliminate 1.28% : 0.000016s : 111: predicate.transpose_eliminate 1.79% : 0.000022s : 111: predicate.tuple_list_convert_item_index_to_positive 1.50% : 0.000018s : 111: predicate.tuple_list_get_item_depend_reorder 3.15% : 0.000039s : 140: predicate.tuple_list_get_item_eliminator 1.63% : 0.000020s : 111: predicate.tuple_list_set_item_eliminator 1.51% : 0.000018s : 126: predicate.tuple_to_list_eliminator_ 1.46% : 0.000018s : 133: predicate.updatestate_pure_node_eliminater 2.60% : 0.000032s : 186: predicate.updatestate_useless_node_eliminater 1.61% : 0.000020s : 111: predicate.value_based_eliminate 0.12% : 0.000001s : 7: predicate.virtual_view_grad_eliminate 0.14% : 0.000002s : 7: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.204706 136 95.97% : 0.196466s : 67: func_graph_cloner_run.FuncGraphClonerGraph 0.14% : 0.000292s : 3: func_graph_cloner_run.FuncGraphClonerNode 3.88% : 0.007948s : 66: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.913513 90 0.00% : 0.000098s : 1: add_recomputation 0.01% : 0.000247s : 1: auto_monad 0.00% : 0.000031s : 1: auto_monad_reorder 0.02% : 0.000457s : 1: bootstrap 0.00% : 0.000042s : 1: cconv 0.00% : 0.000015s : 1: convert_after_rewriter 0.00% : 0.000055s : 1: cse_after_recomputation 0.00% : 0.000016s : 1: environ_conv 0.00% : 0.000076s : 1: event_method 0.00% : 0.000009s : 1: expand_dump_flag 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000016s : 1: graph_reusing 43.97% : 1.280948s : 1: jit_opt_a 0.01% : 0.000291s : 1: jit_opt_after_cconv 0.00% : 0.000101s : 1: jit_opt_b 0.02% : 0.000530s : 1: loop_unroll 0.03% : 0.000993s : 1: mutable_eliminate 0.37% : 0.010850s : 39: opt.transform.jit_opt_a 0.00% : 0.000110s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000059s : 4: opt.transform.jit_opt_b 0.00% : 0.000020s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000030s : 1: opt.transform.mutable_eliminate 0.00% : 0.000044s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.000971s : 2: opt.transform.opt_resolve 0.01% : 0.000306s : 1: opt.transform.partial_eliminate 0.00% : 0.000069s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000705s : 1: opt_after_jit_grad 0.00% : 0.000010s : 1: order_py_execute_after_rewriter 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000007s : 1: pre_auto_parallel 0.00% : 0.000088s : 1: py_interpret_to_execute 0.00% : 0.000031s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000083s : 1: remove_dup_value 27.09% : 0.789320s : 2: renormalize.infer 0.48% : 0.014004s : 2: renormalize.specialize 0.01% : 0.000239s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000081s : 1: rewriter_after_opt_a 0.01% : 0.000269s : 1: rewriter_before_opt_a 0.00% : 0.000134s : 1: symbol_engine_optimizer 27.88% : 0.812147s : 1: type_inference . [hook] pytest_runtest_teardown:test_multiple_independent_streams tests/st/compiler/stream_event/test_with_stream.py::test_multiple_independent_streams,max_mem:12.0M =============================== 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_with_stream.py::test_multiple_independent_streams /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 294.39s (0:04:54) ==================