==================================================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(165167:281472943329072,MainProcess):2026-01-29-17:37:51.974.523 [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(165167:281472943329072,MainProcess):2026-01-29-17:37:51.975.153 [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 = 0.640843, [21] [bootstrap]: 0.00056387 [type_inference]: 0.488404 [event_method]: 5.158e-05 [auto_monad]: 0.00014005 [graph_reusing]: 8.18999e-06 [inline]: 2.89999e-06 [add_attr]: 0.00760592, [1] [add_attr_with_inline]: 0.00759174, [1] [Cycle 1]: 0.00013272, [2] [tag_attr]: 3.267e-05 [meta_addattr_fg_expand]: 7.51001e-06 [parallel-infer-symbol]: 3.76001e-06 [pre_auto_parallel]: 6.145e-05 [insert-virtual-dataset]: 2.67001e-06 [parallel-infer-symbol-second]: 6.79982e-07 [dataset_repeat_opt]: 1.92999e-06 [pipeline_split]: 1.57999e-06 [optimize]: 0.142451, [53] [py_interpret_to_execute]: 3.512e-05 [rewriter_before_opt_a]: 0.0001229 [opt_a]: 0.139491, [3] [Cycle 1]: 0.1364, [45] [expand_dump_flag]: 3.78001e-06 [switch_simplify]: 5.125e-05 [loop_unroll]: 3.654e-05 [a_1]: 0.00098587 [with_stream_mark]: 9.266e-05 [recompute_prepare]: 8.167e-05 [updatestate_depend_eliminate]: 3.047e-05 [updatestate_assign_eliminate]: 9.49999e-06 [updatestate_loads_eliminate]: 9.31e-06 [parameter_eliminate]: 9.57999e-06 [a_2]: 0.00063941 [accelerated_algorithm]: 4.22e-05 [shard]: 2.87002e-06 [meta_shard_fg_expand]: 5.69e-06 [shard_inline]: 1.247e-05 [merge_send_recv]: 4.14e-05 [auto_parallel]: 1.676e-05 [parallel]: 3.977e-05 [flash_sp]: 2.35e-05 [merge_comm]: 8.38001e-06 [allreduce_fusion]: 7.4e-06 [matmul_add_comm_reduction]: 1.666e-05 [allreduce_slice_to_reducescatter]: 8.39995e-07 [virtual_shard_identity]: 1.418e-05 [virtual_dataset]: 1.161e-05 [get_grad_eliminate_]: 1.129e-05 [virtual_output]: 1.167e-05 [merge_forward]: 8.67998e-06 [cell_reuse_recompute_pass]: 1.05001e-06 [offload_activation]: 1.65e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.709e-05 [merge_recompute_call_nodes]: 1.64e-06 [before_grad]: 2.099e-05 [set_forward_comm_id_for_comm_node_pass]: 7.76001e-06 [meta_fg_expand]: 6.94001e-06 [flash_sp_send_recv_attached]: 4.94e-06 [receive_attached]: 1.232e-05 [after_resolve]: 1.615e-05 [a_after_grad]: 1.732e-05 [renormalize]: 0.00126647 [add_forward_monad_depend]: 7.68999e-06 [auto_monad_grad]: 2.61999e-06 [auto_monad_eliminator]: 3.147e-05 [cse]: 0.00011609 [a_3]: 9.507e-05 [Cycle 2]: 0.00208367, [45] [expand_dump_flag]: 3.2e-06 [switch_simplify]: 1.328e-05 [loop_unroll]: 9.26998e-06 [a_1]: 0.00025662 [with_stream_mark]: 2.293e-05 [recompute_prepare]: 1.257e-05 [updatestate_depend_eliminate]: 7.05e-06 [updatestate_assign_eliminate]: 5.39e-06 [updatestate_loads_eliminate]: 5.54998e-06 [parameter_eliminate]: 2.46e-06 [a_2]: 0.00034177 [accelerated_algorithm]: 1.556e-05 [shard]: 1.79e-06 [meta_shard_fg_expand]: 3.09999e-06 [shard_inline]: 1.007e-05 [merge_send_recv]: 1.238e-05 [auto_parallel]: 1.168e-05 [parallel]: 8.29002e-06 [flash_sp]: 3.91999e-06 [merge_comm]: 5.09e-06 [allreduce_fusion]: 4.77e-06 [matmul_add_comm_reduction]: 1.137e-05 [allreduce_slice_to_reducescatter]: 6.30011e-07 [virtual_shard_identity]: 1.066e-05 [virtual_dataset]: 8.1e-06 [get_grad_eliminate_]: 7.59002e-06 [virtual_output]: 7.29001e-06 [merge_forward]: 5.92999e-06 [cell_reuse_recompute_pass]: 1.91e-06 [offload_activation]: 1.093e-05 [cell_reuse_handle_not_recompute_node_pass]: 1.987e-05 [merge_recompute_call_nodes]: 1.22e-06 [before_grad]: 1.292e-05 [set_forward_comm_id_for_comm_node_pass]: 5.43002e-06 [meta_fg_expand]: 4.03999e-06 [flash_sp_send_recv_attached]: 2.12001e-06 [receive_attached]: 2.00002e-06 [after_resolve]: 1.2e-05 [a_after_grad]: 1.102e-05 [renormalize]: 0.00058839 [add_forward_monad_depend]: 6.56999e-06 [auto_monad_grad]: 2.32999e-06 [auto_monad_eliminator]: 2.067e-05 [cse]: 3.446e-05 [a_3]: 7.207e-05 [Cycle 3]: 0.00098391, [45] [expand_dump_flag]: 1.68002e-06 [switch_simplify]: 9.86998e-06 [loop_unroll]: 7.03e-06 [a_1]: 0.00017981 [with_stream_mark]: 1.499e-05 [recompute_prepare]: 8.22e-06 [updatestate_depend_eliminate]: 4.90999e-06 [updatestate_assign_eliminate]: 3.73001e-06 [updatestate_loads_eliminate]: 3.78001e-06 [parameter_eliminate]: 1.30999e-06 [a_2]: 0.00012986 [accelerated_algorithm]: 1.254e-05 [shard]: 1.45001e-06 [meta_shard_fg_expand]: 1.75001e-06 [shard_inline]: 8.23999e-06 [merge_send_recv]: 8.74e-06 [auto_parallel]: 9.23002e-06 [parallel]: 5.85002e-06 [flash_sp]: 1.05999e-06 [merge_comm]: 5.17e-06 [allreduce_fusion]: 4.57e-06 [matmul_add_comm_reduction]: 9.09e-06 [allreduce_slice_to_reducescatter]: 5.69999e-07 [virtual_shard_identity]: 1.007e-05 [virtual_dataset]: 6.91001e-06 [get_grad_eliminate_]: 7.71999e-06 [virtual_output]: 7.1e-06 [merge_forward]: 5.09e-06 [cell_reuse_recompute_pass]: 1.27e-06 [offload_activation]: 9.46e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.936e-05 [merge_recompute_call_nodes]: 1.02998e-06 [before_grad]: 1.157e-05 [set_forward_comm_id_for_comm_node_pass]: 5.99e-06 [meta_fg_expand]: 2.89001e-06 [flash_sp_send_recv_attached]: 1.20001e-06 [receive_attached]: 1.17999e-06 [after_resolve]: 1.043e-05 [a_after_grad]: 1.046e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.99001e-06 [auto_monad_grad]: 1.12999e-06 [auto_monad_eliminator]: 1.344e-05 [cse]: 2.488e-05 [a_3]: 5.824e-05 [py_interpret_to_execute_after_opt_a]: 1.909e-05 [slice_cell_reuse_recomputed_activation]: 4.77e-06 [rewriter_after_opt_a]: 6.942e-05 [convert_after_rewriter]: 2.821e-05 [order_py_execute_after_rewriter]: 9.86e-06 [mutable_eliminate]: 0.00076925 [opt_b]: 0.00032346, [1] [Cycle 1]: 0.0003113, [7] [b_1]: 0.0001944 [b_2]: 8.69e-06 [updatestate_depend_eliminate]: 1.122e-05 [updatestate_assign_eliminate]: 3.58e-06 [updatestate_loads_eliminate]: 3.76999e-06 [renormalize]: 8.00006e-07 [cse]: 3.41e-05 [optimize_parallel_all_gather_comm]: 2.45e-05 [overlap_param_gather]: 7.85e-06 [cconv]: 3.732e-05 [loop_unroll]: 0.00050559 [opt_after_cconv]: 0.00015362, [1] [Cycle 1]: 0.00014358, [7] [c_1]: 3.567e-05 [parameter_eliminate]: 5.44e-06 [updatestate_depend_eliminate]: 9.39e-06 [updatestate_assign_eliminate]: 3.73001e-06 [updatestate_loads_eliminate]: 3.61999e-06 [cse]: 3.163e-05 [renormalize]: 5.8001e-07 [remove_dup_value]: 2.358e-05 [tuple_transform]: 0.00010269, [1] [Cycle 1]: 9.389e-05, [4] [d_1]: 5.383e-05 [none_parameter_eliminate]: 1.94999e-06 [renormalize]: 2.40019e-07 [switch_simplify]: 8.18001e-06 [partial_unused_args_eliminate]: 4.67e-06 [add_recomputation]: 7.455e-05 [cse_after_recomputation]: 3.603e-05, [1] [Cycle 1]: 2.864e-05, [1] [cse]: 1.868e-05 [environ_conv]: 1.989e-05 [swap_dp_allreduce_reducescatter]: 1.051e-05 [bias_add_comm_swap]: 5.66e-06 [label_micro_interleaved_index]: 7.52002e-06 [label_fine_grained_interleaved_index]: 5.64e-06 [merge_cast_opt]: 4.08999e-06 [slice_recompute_activation]: 4.92999e-06 [micro_interleaved_order_control]: 5.71e-06 [assign_add_opt]: 3.98001e-06 [ForceFp32Comm]: 3.56001e-06 [remove_cast_before_assign_add]: 4.08001e-06 [full_micro_interleaved_order_control]: 5.42999e-06 [reorder_send_recv_between_fp_bp]: 5.67999e-06 [comm_op_add_attrs]: 3.88001e-06 [add_comm_op_reuse_tag]: 3.91999e-06 [interleave_split_concat_branches]: 4.25e-06 [interleave_parallel_branches]: 3.85e-06 [overlap_opt_shard_in_pipeline]: 2.631e-05 [overlap_opt_shard_grad_in_pipeline]: 4.82e-06 [control_data_broadcast_order]: 2.515e-05 [grouped_pairwise_exchange_alltoall]: 4.43999e-06 [offloading_packed_experts]: 7.56999e-06 [overlap_recompute_and_grad_model_parallel]: 8.33999e-06 [overlap_grad_matmul_and_grad_allreduce]: 3.68999e-06 [overlap_recompute_allgather_and_fa_grad]: 3.99002e-06 [overlap_recompute_comm]: 4.84e-06 [overlap_grad_ring_attention]: 8.25e-06 [overlap_grad_flash_sp]: 4.18e-05 [begin_end_overlap_inline]: 2.95998e-06 [split_matmul_comm_elemetwise]: 4.52e-06 [split_layernorm_comm]: 4.36002e-06 [handle_group_info]: 3.33998e-06 [symbol_engine_optimizer]: 0.00011134, [1] [Cycle 1]: 0.00010299, [6] [build]: 3.23998e-06 [elim_shapecalc]: 1.441e-05 [elim_not_effective]: 1.769e-05 [opt_reshape]: 7.94002e-06 [fold_const_symbol]: 1.28e-05 [renormalize]: 1.69995e-07 [detach_backward]: 5.36002e-06 [pipeline_parallel_scheduler]: 1.72999e-06 [auto_monad_reorder]: 3.922e-05 [get_jit_bprop_graph]: 1.76e-06 [rewriter_after_jit_bprop_graph]: 5.43002e-06 [opt_after_jit_grad]: 0.00059669 [validate]: 7.028e-05 Sums bootstrap : 0.000564s : 0.11% type_inference : 0.488404s : 97.95% event_method : 0.000052s : 0.01% auto_monad : 0.000140s : 0.03% graph_reusing : 0.000008s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000033s : 0.01% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000008s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000061s : 0.01% 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 : 0.000035s : 0.01% optimize.rewriter_before_opt_a : 0.000123s : 0.02% optimize.opt_a.expand_dump_flag : 0.000009s : 0.00% optimize.opt_a.switch_simplify : 0.000074s : 0.01% optimize.opt_a.loop_unroll : 0.000053s : 0.01% optimize.opt_a.a_1 : 0.001422s : 0.29% optimize.opt_a.with_stream_mark : 0.000131s : 0.03% optimize.opt_a.recompute_prepare : 0.000102s : 0.02% optimize.opt_a.updatestate_depend_eliminate : 0.000042s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000019s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000019s : 0.00% optimize.opt_a.parameter_eliminate : 0.000013s : 0.00% optimize.opt_a.a_2 : 0.001111s : 0.22% optimize.opt_a.accelerated_algorithm : 0.000070s : 0.01% optimize.opt_a.shard : 0.000006s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000011s : 0.00% optimize.opt_a.shard_inline : 0.000031s : 0.01% optimize.opt_a.merge_send_recv : 0.000063s : 0.01% optimize.opt_a.auto_parallel : 0.000038s : 0.01% optimize.opt_a.parallel : 0.000054s : 0.01% optimize.opt_a.flash_sp : 0.000028s : 0.01% optimize.opt_a.merge_comm : 0.000019s : 0.00% optimize.opt_a.allreduce_fusion : 0.000017s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000037s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000035s : 0.01% optimize.opt_a.virtual_dataset : 0.000027s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000027s : 0.01% optimize.opt_a.virtual_output : 0.000026s : 0.01% optimize.opt_a.merge_forward : 0.000020s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% optimize.opt_a.offload_activation : 0.000037s : 0.01% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000066s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000004s : 0.00% optimize.opt_a.before_grad : 0.000045s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000019s : 0.00% optimize.opt_a.meta_fg_expand : 0.000014s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000008s : 0.00% optimize.opt_a.receive_attached : 0.000016s : 0.00% optimize.opt_a.after_resolve : 0.000039s : 0.01% optimize.opt_a.a_after_grad : 0.000039s : 0.01% optimize.opt_a.renormalize : 0.001855s : 0.37% optimize.opt_a.add_forward_monad_depend : 0.000017s : 0.00% optimize.opt_a.auto_monad_grad : 0.000006s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000066s : 0.01% optimize.opt_a.cse : 0.000175s : 0.04% optimize.opt_a.a_3 : 0.000225s : 0.05% optimize.py_interpret_to_execute_after_opt_a : 0.000019s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000005s : 0.00% optimize.rewriter_after_opt_a : 0.000069s : 0.01% optimize.convert_after_rewriter : 0.000028s : 0.01% optimize.order_py_execute_after_rewriter : 0.000010s : 0.00% optimize.mutable_eliminate : 0.000769s : 0.15% optimize.opt_b.b_1 : 0.000194s : 0.04% optimize.opt_b.b_2 : 0.000009s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000011s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000004s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000004s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000034s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000024s : 0.00% optimize.overlap_param_gather : 0.000008s : 0.00% optimize.cconv : 0.000037s : 0.01% optimize.loop_unroll : 0.000506s : 0.10% optimize.opt_after_cconv.c_1 : 0.000036s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.00% optimize.opt_after_cconv.cse : 0.000032s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000024s : 0.00% optimize.tuple_transform.d_1 : 0.000054s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000008s : 0.00% optimize.partial_unused_args_eliminate : 0.000005s : 0.00% optimize.add_recomputation : 0.000075s : 0.01% optimize.cse_after_recomputation.cse : 0.000019s : 0.00% optimize.environ_conv : 0.000020s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000011s : 0.00% optimize.bias_add_comm_swap : 0.000006s : 0.00% optimize.label_micro_interleaved_index : 0.000008s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000006s : 0.00% optimize.merge_cast_opt : 0.000004s : 0.00% optimize.slice_recompute_activation : 0.000005s : 0.00% optimize.micro_interleaved_order_control : 0.000006s : 0.00% optimize.assign_add_opt : 0.000004s : 0.00% optimize.ForceFp32Comm : 0.000004s : 0.00% optimize.remove_cast_before_assign_add : 0.000004s : 0.00% optimize.full_micro_interleaved_order_control : 0.000005s : 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 : 0.000004s : 0.00% optimize.interleave_parallel_branches : 0.000004s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000026s : 0.01% optimize.overlap_opt_shard_grad_in_pipeline : 0.000005s : 0.00% optimize.control_data_broadcast_order : 0.000025s : 0.01% optimize.grouped_pairwise_exchange_alltoall : 0.000004s : 0.00% optimize.offloading_packed_experts : 0.000008s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000008s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000004s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000004s : 0.00% optimize.overlap_recompute_comm : 0.000005s : 0.00% optimize.overlap_grad_ring_attention : 0.000008s : 0.00% optimize.overlap_grad_flash_sp : 0.000042s : 0.01% 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 : 0.000003s : 0.00% optimize.symbol_engine_optimizer.build : 0.000003s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000014s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000018s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000008s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000013s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000005s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000039s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000597s : 0.12% validate : 0.000070s : 0.01% Time group info: ------[substitution.] 0.000562 95 28.34% : 0.000159s : 16: substitution.arithmetic_simplify 2.24% : 0.000013s : 6: substitution.depend_value_elim 0.50% : 0.000003s : 4: substitution.elim_not_effective 0.39% : 0.000002s : 4: substitution.fold_const_symbol 1.29% : 0.000007s : 5: substitution.graph_param_transform 51.23% : 0.000288s : 12: substitution.inline 1.58% : 0.000009s : 16: substitution.j_node_and_user_rematch 5.20% : 0.000029s : 3: substitution.less_batch_normalization 0.51% : 0.000003s : 4: substitution.redundant_stop_gradient_eliminater 2.34% : 0.000013s : 16: substitution.remove_not_recompute_node 0.41% : 0.000002s : 2: substitution.replace_applicator 1.16% : 0.000006s : 3: substitution.replace_old_param 2.14% : 0.000012s : 2: substitution.set_cell_output_no_recompute 2.67% : 0.000015s : 2: substitution.specialize_transform ------[type_inference.] 0.488317 2 99.74% : 0.487066s : 1: type_inference.infer 0.26% : 0.001250s : 1: type_inference.specialize ------[replace.] 0.000120 10 29.37% : 0.000035s : 2: replace.depend_value_elim 70.63% : 0.000085s : 8: replace.inline ------[match.] 0.000281 10 0.93% : 0.000003s : 2: match.depend_value_elim 99.07% : 0.000278s : 8: match.inline ------[predicate.] 0.000466 3006 1.02% : 0.000005s : 34: predicate.accumulaten_eliminater 0.60% : 0.000003s : 5: predicate.ad_related_special_op_eliminate 1.18% : 0.000005s : 41: predicate.addn_check_dump 1.04% : 0.000005s : 34: predicate.addn_zero_filter 0.95% : 0.000004s : 34: predicate.adjust_all_reduce_mul_add 4.25% : 0.000020s : 69: predicate.arithmetic_simplify 1.03% : 0.000005s : 34: predicate.cast_eliminate 0.66% : 0.000003s : 17: predicate.check_bprop_eliminate 1.22% : 0.000006s : 41: predicate.compare_switch_simplify 0.10% : 0.000000s : 5: predicate.const_output_eliminate 1.19% : 0.000006s : 36: predicate.depend_value_elim 1.04% : 0.000005s : 34: predicate.dict_get_item_const_eliminator 1.11% : 0.000005s : 34: predicate.dict_get_item_eliminator 1.01% : 0.000005s : 34: predicate.dict_set_item_eliminator 0.46% : 0.000002s : 10: predicate.dumpgradient_eliminate 0.12% : 0.000001s : 5: predicate.elim_not_effective 0.18% : 0.000001s : 5: predicate.elim_shapecalc_of_broadcastargs 1.20% : 0.000006s : 39: predicate.environ_add_const_eliminate 1.12% : 0.000005s : 39: predicate.environ_get_add_eliminate 1.08% : 0.000005s : 39: predicate.environ_get_depend_swap 2.30% : 0.000011s : 74: predicate.environ_get_eliminate 1.14% : 0.000005s : 39: predicate.environ_get_set_eliminate 1.15% : 0.000005s : 40: predicate.exchange_switch_depend_value 1.64% : 0.000008s : 40: predicate.float_depend_g_call 1.27% : 0.000006s : 41: predicate.float_environ_get_switch 1.38% : 0.000006s : 46: predicate.float_tuple_getitem_switch 0.09% : 0.000000s : 5: predicate.fold_const_symbol 0.74% : 0.000003s : 19: predicate.get_grad_eliminate 0.10% : 0.000000s : 5: predicate.graph_param_transform 1.12% : 0.000005s : 35: predicate.incorporate_call 0.96% : 0.000004s : 35: predicate.incorporate_call_switch 6.09% : 0.000028s : 142: predicate.inline 0.69% : 0.000003s : 19: predicate.inline_without_move 0.29% : 0.000001s : 19: predicate.j_node_and_user_rematch 1.05% : 0.000005s : 19: predicate.less_batch_normalization 1.43% : 0.000007s : 44: predicate.list_to_tuple_eliminator_ 2.25% : 0.000010s : 78: predicate.load_eliminater 0.52% : 0.000002s : 5: predicate.loop_unroll_after_grad 1.64% : 0.000008s : 54: predicate.loop_unroll_before_grad 1.41% : 0.000007s : 44: predicate.make_slice_get_slice_eliminator 1.29% : 0.000006s : 41: predicate.merge_addn 0.52% : 0.000002s : 17: predicate.micro_step_allgather_replace 0.53% : 0.000002s : 17: predicate.mini_step_allgather_replace 0.94% : 0.000004s : 34: predicate.minmaximum_grad 0.76% : 0.000004s : 5: predicate.mutable_eliminate 0.19% : 0.000001s : 5: predicate.opt_reshape 0.17% : 0.000001s : 5: predicate.parallel_virtual_node 1.45% : 0.000007s : 40: predicate.partial_defer_inline 1.24% : 0.000006s : 39: predicate.partial_eliminate 1.11% : 0.000005s : 34: predicate.print_const_string_wrapper 1.02% : 0.000005s : 33: predicate.reduce_all_const_elim 1.30% : 0.000006s : 34: predicate.reduce_eliminate 2.24% : 0.000010s : 78: predicate.redundant_stop_gradient_eliminater 0.44% : 0.000002s : 19: predicate.remove_not_recompute_node 1.09% : 0.000005s : 51: predicate.replace_applicator 0.37% : 0.000002s : 19: predicate.replace_old_param 0.12% : 0.000001s : 5: predicate.reset_defer_inline 0.98% : 0.000005s : 34: predicate.reshape_eliminate 0.56% : 0.000003s : 17: predicate.row_tensor_add_zeros_like 0.17% : 0.000001s : 5: predicate.row_tensor_eliminate 0.71% : 0.000003s : 17: predicate.same_eliminate 0.84% : 0.000004s : 27: predicate.set_cell_output_no_recompute 0.87% : 0.000004s : 19: predicate.shard_identity_eliminate 0.34% : 0.000002s : 10: predicate.special_op_eliminate 1.59% : 0.000007s : 41: predicate.specialize_transform 0.99% : 0.000005s : 17: predicate.split_environ_get_set_with_tuple_value 0.69% : 0.000003s : 19: predicate.stack_unstack_eliminate 0.21% : 0.000001s : 5: predicate.switch_call_monad_eliminater 1.22% : 0.000006s : 40: predicate.switch_defer_inline 1.82% : 0.000008s : 57: predicate.switch_layer_defer_inline 4.84% : 0.000023s : 140: predicate.switch_simplify 0.97% : 0.000005s : 34: predicate.tile_eliminate 0.98% : 0.000005s : 34: predicate.transpose_eliminate 1.37% : 0.000006s : 44: predicate.tuple_list_convert_item_index_to_positive 1.28% : 0.000006s : 44: predicate.tuple_list_get_item_const_eliminator 1.26% : 0.000006s : 44: predicate.tuple_list_get_item_depend_reorder 2.88% : 0.000013s : 79: predicate.tuple_list_get_item_eliminator 1.32% : 0.000006s : 44: predicate.tuple_list_get_set_item_eliminator 2.53% : 0.000012s : 79: predicate.tuple_list_set_item_eliminator 1.41% : 0.000007s : 44: predicate.tuple_to_list_eliminator_ 2.23% : 0.000010s : 78: predicate.updatestate_pure_node_eliminater 3.34% : 0.000016s : 113: predicate.updatestate_useless_node_eliminater 0.19% : 0.000001s : 5: predicate.value_based_eliminate 0.70% : 0.000003s : 19: predicate.virtual_dataset_eliminate 0.69% : 0.000003s : 19: predicate.virtual_output_eliminate 0.14% : 0.000001s : 5: predicate.virtual_view_grad_eliminate 0.29% : 0.000001s : 5: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.001011 16 43.40% : 0.000439s : 5: func_graph_cloner_run.FuncGraphClonerGraph 56.60% : 0.000572s : 11: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.795935 267 0.00% : 0.000006s : 1: ForceFp32Comm 0.96% : 0.007618s : 1: add_attr 0.95% : 0.007596s : 1: add_attr_with_inline 0.00% : 0.000007s : 1: add_comm_op_reuse_tag 0.01% : 0.000079s : 1: add_recomputation 0.00% : 0.000007s : 1: assign_add_opt 0.02% : 0.000151s : 1: auto_monad 0.01% : 0.000048s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: begin_end_overlap_inline 0.00% : 0.000008s : 1: bias_add_comm_swap 0.08% : 0.000643s : 1: bootstrap 0.01% : 0.000042s : 1: cconv 0.00% : 0.000007s : 1: comm_op_add_attrs 0.00% : 0.000030s : 1: control_data_broadcast_order 0.00% : 0.000032s : 1: convert_after_rewriter 0.00% : 0.000040s : 1: cse_after_recomputation 0.00% : 0.000007s : 1: dataset_repeat_opt 0.00% : 0.000031s : 1: detach_backward 0.00% : 0.000024s : 1: environ_conv 0.01% : 0.000064s : 1: event_method 0.00% : 0.000008s : 1: full_micro_interleaved_order_control 0.00% : 0.000008s : 1: get_jit_bprop_graph 0.00% : 0.000015s : 1: graph_reusing 0.00% : 0.000007s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000006s : 1: handle_group_info 0.00% : 0.000009s : 1: inline 0.00% : 0.000009s : 1: insert-virtual-dataset 0.00% : 0.000006s : 1: interleave_parallel_branches 0.00% : 0.000007s : 1: interleave_split_concat_branches 0.00% : 0.000009s : 1: label_fine_grained_interleaved_index 0.00% : 0.000010s : 1: label_micro_interleaved_index 0.06% : 0.000513s : 1: loop_unroll 0.00% : 0.000007s : 1: merge_cast_opt 0.00% : 0.000008s : 1: micro_interleaved_order_control 0.10% : 0.000778s : 1: mutable_eliminate 0.00% : 0.000010s : 1: offloading_packed_experts 0.00% : 0.000020s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000022s : 1: opt.transform.mutable_eliminate 0.38% : 0.003020s : 151: opt.transform.opt_a 0.00% : 0.000034s : 1: opt.transform.opt_after_cconv 0.00% : 0.000034s : 1: opt.transform.opt_after_jit_grad 0.02% : 0.000133s : 28: opt.transform.opt_b 0.01% : 0.000060s : 2: opt.transform.opt_trans_graph 0.01% : 0.000049s : 4: opt.transform.symbol_engine_opt 17.53% : 0.139495s : 1: opt_a 0.02% : 0.000158s : 1: opt_after_cconv 0.08% : 0.000610s : 1: opt_after_jit_grad 0.04% : 0.000327s : 1: opt_b 17.96% : 0.142958s : 1: optimize 0.00% : 0.000028s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000014s : 1: order_py_execute_after_rewriter 0.01% : 0.000046s : 1: overlap_grad_flash_sp 0.00% : 0.000007s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000012s : 1: overlap_grad_ring_attention 0.00% : 0.000008s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000031s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000011s : 1: overlap_param_gather 0.00% : 0.000007s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000011s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000008s : 1: overlap_recompute_comm 0.00% : 0.000011s : 1: parallel-infer-symbol 0.00% : 0.000007s : 1: parallel-infer-symbol-second 0.00% : 0.000008s : 1: partial_unused_args_eliminate 0.00% : 0.000010s : 1: pipeline_parallel_scheduler 0.00% : 0.000007s : 1: pipeline_split 0.01% : 0.000070s : 1: pre_auto_parallel 0.00% : 0.000039s : 1: py_interpret_to_execute 0.00% : 0.000023s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000007s : 1: remove_cast_before_assign_add 0.00% : 0.000027s : 1: remove_dup_value 0.13% : 0.001032s : 2: renormalize.infer 0.10% : 0.000803s : 2: renormalize.specialize 0.00% : 0.000009s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000075s : 1: rewriter_after_opt_a 0.02% : 0.000127s : 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% : 0.000007s : 1: split_matmul_comm_elemetwise 0.00% : 0.000014s : 1: swap_dp_allreduce_reducescatter 0.01% : 0.000114s : 1: symbol_engine_optimizer 0.01% : 0.000106s : 1: tuple_transform 61.37% : 0.488449s : 1: type_inference [WARNING] ME(165167:281472943329072,MainProcess):2026-01-29-17:38:06.541.576 [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 = 0.955118, [30] [bootstrap]: 0.00035784 [type_inference]: 0.275404 [event_method]: 4.085e-05 [auto_monad]: 0.00015667 [graph_reusing]: 1.033e-05 [pre_auto_parallel]: 3.70998e-06 [py_interpret_to_execute]: 5.433e-05 [rewriter_before_opt_a]: 0.00019962 [expand_dump_flag]: 4.63999e-06 [jit_opt_a]: 0.675065, [3] [Cycle 1]: 0.661338, [27] [switch_simplify]: 0.00011701 [loop_unroll]: 7.233e-05 [a_1]: 0.00176071 [with_stream_mark]: 0.00012592 [recompute_prepare]: 4.062e-05 [updatestate_depend_eliminate]: 1.421e-05 [updatestate_assign_eliminate]: 1.273e-05 [updatestate_loads_eliminate]: 1.238e-05 [parameter_eliminate]: 5.25999e-06 [specialize_transform]: 3.895e-05 [updatestate_useless_node_eliminater]: 2.328e-05 [accelerated_algorithm]: 7.21e-05 [meta_shard_fg_expand]: 7.21001e-06 [get_grad_eliminate_]: 2.661e-05 [merge_forward]: 5.535e-05 [cell_reuse_recompute_pass]: 1.52001e-06 [cell_reuse_handle_not_recompute_node_pass]: 5.204e-05 [j_node_and_user_rematch]: 4.445e-05 [meta_fg_expand]: 0.327572, [1] [partial_eliminate_before_grad]: 0.00019294, [1] [Cycle 1]: 0.00018158, [1] [partial_eliminate_]: 0.00016143 [replace_old_param]: 0.00023817 [inline_without_move]: 0.00025174 [renormalize]: 0.235906 [add_forward_monad_depend]: 5.924e-05 [auto_monad_grad]: 2.889e-05 [auto_monad_eliminator]: 0.00020244 [cse]: 0.0936563 [replace_applicator]: 0.00051848 [Cycle 2]: 0.00897247, [27] [switch_simplify]: 0.00015054 [loop_unroll]: 0.00015167 [a_1]: 0.00407967 [with_stream_mark]: 3.714e-05 [recompute_prepare]: 1.854e-05 [updatestate_depend_eliminate]: 8.39998e-06 [updatestate_assign_eliminate]: 5.25001e-06 [updatestate_loads_eliminate]: 4.99e-06 [parameter_eliminate]: 2.66e-06 [specialize_transform]: 1.023e-05 [updatestate_useless_node_eliminater]: 9.29e-06 [accelerated_algorithm]: 2.838e-05 [meta_shard_fg_expand]: 7.63001e-06 [get_grad_eliminate_]: 8.62e-06 [merge_forward]: 6.12999e-06 [cell_reuse_recompute_pass]: 1.39e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.395e-05 [j_node_and_user_rematch]: 1.59e-05 [meta_fg_expand]: 0.00012161 [replace_old_param]: 1.111e-05 [inline_without_move]: 9.04e-06 [renormalize]: 0.00388652 [add_forward_monad_depend]: 1.256e-05 [auto_monad_grad]: 3.39001e-06 [auto_monad_eliminator]: 2.701e-05 [cse]: 5.005e-05 [replace_applicator]: 2.819e-05 [Cycle 3]: 0.00043722, [27] [switch_simplify]: 7.66999e-06 [loop_unroll]: 6.52001e-06 [a_1]: 0.00016526 [with_stream_mark]: 1.88e-05 [recompute_prepare]: 6.48e-06 [updatestate_depend_eliminate]: 3.62002e-06 [updatestate_assign_eliminate]: 3.35e-06 [updatestate_loads_eliminate]: 2.57001e-06 [parameter_eliminate]: 2.50002e-06 [specialize_transform]: 5.39998e-06 [updatestate_useless_node_eliminater]: 5.60001e-06 [accelerated_algorithm]: 6.00002e-06 [meta_shard_fg_expand]: 2.59999e-06 [get_grad_eliminate_]: 5.34e-06 [merge_forward]: 4.45e-06 [cell_reuse_recompute_pass]: 2.53003e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.602e-05 [j_node_and_user_rematch]: 9.66003e-06 [meta_fg_expand]: 2.81e-06 [replace_old_param]: 4.90001e-06 [inline_without_move]: 4.69002e-06 [renormalize]: 1.10012e-07 [add_forward_monad_depend]: 1.52999e-06 [auto_monad_grad]: 1.51998e-06 [auto_monad_eliminator]: 6.30002e-06 [cse]: 1.488e-05 [replace_applicator]: 5.09e-06 [py_interpret_to_execute_after_opt_a]: 2.202e-05 [rewriter_after_opt_a]: 4.385e-05 [convert_after_rewriter]: 7.64002e-06 [order_py_execute_after_rewriter]: 5.34998e-06 [mutable_eliminate]: 0.00083081 [jit_opt_b]: 6.162e-05, [1] [Cycle 1]: 5.173e-05, [2] [frontend_op_eliminate]: 1.902e-05 [inline_after_opt_a]: 1.958e-05 [cconv]: 3.715e-05 [loop_unroll]: 0.00057099 [jit_opt_after_cconv]: 0.00018651, [1] [Cycle 1]: 0.00017879, [11] [c_1]: 2.483e-05 [parameter_eliminate]: 5.67999e-06 [updatestate_depend_eliminate]: 1.096e-05 [updatestate_assign_eliminate]: 3.01001e-06 [updatestate_loads_eliminate]: 2.89001e-06 [cse]: 3.927e-05 [call_graph_tuple_transform]: 2.485e-05 [tuple_list_get_item_eliminator]: 5.83002e-06 [none_parameter_eliminate]: 1.93002e-06 [renormalize]: 9.70002e-07 [switch_simplify]: 5.86e-06 [remove_dup_value]: 1.979e-05 [partial_unused_args_eliminate]: 2.34001e-06 [environ_conv]: 1.095e-05 [add_recomputation]: 5.386e-05 [cse_after_recomputation]: 2.262e-05, [1] [Cycle 1]: 1.744e-05, [1] [cse]: 1.092e-05 [auto_monad_reorder]: 1.615e-05 [get_jit_bprop_graph]: 3.23e-06 [rewriter_after_jit_bprop_graph]: 0.00058092 [opt_after_jit_grad]: 0.0007639 [symbol_engine_optimizer]: 9.852e-05, [1] [Cycle 1]: 8.89e-05, [6] [build]: 7.16001e-06 [elim_shapecalc]: 1.158e-05 [elim_not_effective]: 1.982e-05 [opt_reshape]: 7.30998e-06 [fold_const_symbol]: 1.05e-05 [renormalize]: 6.29982e-07 [validate]: 6.378e-05 Sums bootstrap : 0.000358s : 0.06% type_inference : 0.275404s : 44.27% event_method : 0.000041s : 0.01% auto_monad : 0.000157s : 0.03% graph_reusing : 0.000010s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000054s : 0.01% rewriter_before_opt_a : 0.000200s : 0.03% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000275s : 0.04% jit_opt_a.loop_unroll : 0.000231s : 0.04% jit_opt_a.a_1 : 0.006006s : 0.97% jit_opt_a.with_stream_mark : 0.000182s : 0.03% jit_opt_a.recompute_prepare : 0.000066s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000026s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000021s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000020s : 0.00% jit_opt_a.parameter_eliminate : 0.000010s : 0.00% jit_opt_a.specialize_transform : 0.000055s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000038s : 0.01% jit_opt_a.accelerated_algorithm : 0.000106s : 0.02% jit_opt_a.meta_shard_fg_expand : 0.000017s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000041s : 0.01% jit_opt_a.merge_forward : 0.000066s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000092s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000070s : 0.01% jit_opt_a.meta_fg_expand : 0.000124s : 0.02% jit_opt_a.meta_fg_expand.partial_eliminate_before_grad.partial_eliminate_ : 0.000161s : 0.03% jit_opt_a.replace_old_param : 0.000254s : 0.04% jit_opt_a.inline_without_move : 0.000265s : 0.04% jit_opt_a.renormalize : 0.239792s : 38.55% jit_opt_a.add_forward_monad_depend : 0.000073s : 0.01% jit_opt_a.auto_monad_grad : 0.000034s : 0.01% jit_opt_a.auto_monad_eliminator : 0.000236s : 0.04% jit_opt_a.cse : 0.093721s : 15.07% jit_opt_a.replace_applicator : 0.000552s : 0.09% py_interpret_to_execute_after_opt_a : 0.000022s : 0.00% rewriter_after_opt_a : 0.000044s : 0.01% convert_after_rewriter : 0.000008s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000831s : 0.13% jit_opt_b.frontend_op_eliminate : 0.000019s : 0.00% jit_opt_b.inline_after_opt_a : 0.000020s : 0.00% cconv : 0.000037s : 0.01% loop_unroll : 0.000571s : 0.09% jit_opt_after_cconv.c_1 : 0.000025s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000011s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000039s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000025s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000006s : 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 : 0.000006s : 0.00% remove_dup_value : 0.000020s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000011s : 0.00% add_recomputation : 0.000054s : 0.01% cse_after_recomputation.cse : 0.000011s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000581s : 0.09% opt_after_jit_grad : 0.000764s : 0.12% symbol_engine_optimizer.build : 0.000007s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000012s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000020s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000007s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000010s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000064s : 0.01% Time group info: ------[substitution.] 0.003068 270 0.34% : 0.000011s : 2: substitution.addn_check_dump 0.81% : 0.000025s : 2: substitution.addn_zero_filter 4.17% : 0.000128s : 9: substitution.arithmetic_simplify 0.29% : 0.000009s : 3: substitution.depend_value_elim 0.08% : 0.000002s : 2: substitution.elim_not_effective 0.04% : 0.000001s : 2: substitution.fold_const_symbol 30.78% : 0.000944s : 4: substitution.getattr_setattr_resolve 0.19% : 0.000006s : 3: substitution.graph_param_transform 41.77% : 0.001282s : 29: substitution.inline 2.54% : 0.000078s : 10: substitution.inline_without_move 0.49% : 0.000015s : 25: substitution.j_node_and_user_rematch 1.77% : 0.000054s : 2: substitution.less_batch_normalization 1.16% : 0.000036s : 2: substitution.merge_addn 0.72% : 0.000022s : 14: substitution.minmaximum_grad 1.23% : 0.000038s : 10: substitution.partial_eliminate 0.10% : 0.000003s : 2: substitution.redundant_stop_gradient_eliminater 0.58% : 0.000018s : 25: substitution.remove_not_recompute_node 5.53% : 0.000170s : 35: substitution.replace_applicator 0.55% : 0.000017s : 26: substitution.replace_old_param 0.19% : 0.000006s : 3: substitution.set_cell_output_no_recompute 0.26% : 0.000008s : 2: substitution.specialize_transform 1.65% : 0.000051s : 14: substitution.tuple_list_convert_item_index_to_positive 1.06% : 0.000032s : 14: substitution.tuple_list_get_item_depend_reorder 3.69% : 0.000113s : 30: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.275212 2 98.86% : 0.272086s : 1: type_inference.infer 1.14% : 0.003126s : 1: type_inference.specialize ------[replace.] 0.000924 50 7.56% : 0.000070s : 3: replace.getattr_setattr_resolve 34.84% : 0.000322s : 27: replace.inline 4.20% : 0.000039s : 2: replace.partial_eliminate 9.04% : 0.000084s : 2: replace.replace_applicator 44.35% : 0.000410s : 16: replace.tuple_list_get_item_eliminator ------[match.] 0.002269 50 39.38% : 0.000894s : 3: match.getattr_setattr_resolve 55.48% : 0.001259s : 27: match.inline 1.01% : 0.000023s : 2: match.partial_eliminate 1.42% : 0.000032s : 2: match.replace_applicator 2.71% : 0.000062s : 16: match.tuple_list_get_item_eliminator ------[predicate.] 0.000908 5640 1.40% : 0.000013s : 90: predicate.accumulaten_eliminater 0.30% : 0.000003s : 3: predicate.ad_related_special_op_eliminate 1.35% : 0.000012s : 90: predicate.addn_check_dump 1.50% : 0.000014s : 90: predicate.addn_zero_filter 2.27% : 0.000021s : 90: predicate.arithmetic_simplify 1.45% : 0.000013s : 90: predicate.cast_eliminate 0.07% : 0.000001s : 3: predicate.check_bprop_eliminate 1.34% : 0.000012s : 90: predicate.compare_switch_simplify 1.38% : 0.000012s : 90: predicate.depend_value_elim 1.32% : 0.000012s : 90: predicate.dict_get_item_const_eliminator 1.41% : 0.000013s : 90: predicate.dict_get_item_eliminator 1.42% : 0.000013s : 90: predicate.dict_set_item_eliminator 0.26% : 0.000002s : 3: predicate.dumpgradient_eliminate 0.13% : 0.000001s : 3: predicate.elim_not_effective 0.11% : 0.000001s : 3: predicate.elim_shapecalc_of_broadcastargs 0.28% : 0.000003s : 21: predicate.eliminate_switch_conditional_partial_ 0.28% : 0.000003s : 21: predicate.eliminate_switch_layer_partial_ 0.29% : 0.000003s : 21: predicate.eliminate_switch_partial_ 1.35% : 0.000012s : 90: predicate.environ_add_const_eliminate 1.31% : 0.000012s : 90: predicate.environ_get_add_eliminate 1.32% : 0.000012s : 90: predicate.environ_get_depend_swap 1.40% : 0.000013s : 90: predicate.environ_get_eliminate 1.34% : 0.000012s : 90: predicate.environ_get_set_eliminate 0.03% : 0.000000s : 3: predicate.fold_const_symbol 0.59% : 0.000005s : 31: predicate.get_grad_eliminate 0.78% : 0.000007s : 20: predicate.getattr_setattr_resolve 0.04% : 0.000000s : 3: predicate.graph_param_transform 4.74% : 0.000043s : 139: predicate.inline 3.34% : 0.000030s : 175: predicate.inline_without_move 0.24% : 0.000002s : 31: predicate.j_node_and_user_rematch 0.75% : 0.000007s : 31: predicate.less_batch_normalization 1.81% : 0.000016s : 106: predicate.list_to_tuple_eliminator_ 1.81% : 0.000016s : 109: predicate.load_eliminater 0.31% : 0.000003s : 3: predicate.loop_unroll_after_grad 3.94% : 0.000036s : 227: predicate.loop_unroll_before_grad 1.51% : 0.000014s : 93: predicate.make_slice_get_slice_eliminator 1.35% : 0.000012s : 90: predicate.merge_addn 1.39% : 0.000013s : 90: predicate.minmaximum_grad 0.39% : 0.000004s : 3: predicate.mutable_eliminate 0.09% : 0.000001s : 3: predicate.opt_reshape 2.79% : 0.000025s : 132: predicate.partial_eliminate 1.39% : 0.000013s : 90: predicate.print_const_string_wrapper 2.05% : 0.000019s : 90: predicate.reduce_eliminate 1.76% : 0.000016s : 106: predicate.redundant_stop_gradient_eliminater 0.34% : 0.000003s : 31: predicate.remove_not_recompute_node 2.99% : 0.000027s : 262: predicate.replace_applicator 1.54% : 0.000014s : 175: predicate.replace_old_param 0.07% : 0.000001s : 3: predicate.reset_defer_inline 1.45% : 0.000013s : 90: predicate.reshape_eliminate 1.41% : 0.000013s : 90: predicate.row_tensor_add_zeros_like 0.19% : 0.000002s : 3: predicate.row_tensor_eliminate 1.41% : 0.000013s : 90: predicate.same_eliminate 0.31% : 0.000003s : 31: predicate.set_cell_output_no_recompute 0.19% : 0.000002s : 6: predicate.special_op_eliminate 0.59% : 0.000005s : 31: predicate.specialize_transform 1.62% : 0.000015s : 90: predicate.split_environ_get_set_with_tuple_value 1.38% : 0.000013s : 90: predicate.stack_unstack_eliminate 0.08% : 0.000001s : 3: predicate.switch_call_monad_eliminater 3.74% : 0.000034s : 133: predicate.switch_defer_inline 2.36% : 0.000021s : 133: predicate.switch_layer_defer_inline 6.98% : 0.000063s : 363: predicate.switch_simplify 1.41% : 0.000013s : 90: predicate.tile_eliminate 1.39% : 0.000013s : 90: predicate.transpose_eliminate 1.86% : 0.000017s : 90: predicate.tuple_list_convert_item_index_to_positive 1.61% : 0.000015s : 90: predicate.tuple_list_get_item_depend_reorder 3.08% : 0.000028s : 112: predicate.tuple_list_get_item_eliminator 1.71% : 0.000016s : 90: predicate.tuple_list_set_item_eliminator 1.92% : 0.000017s : 106: predicate.tuple_to_list_eliminator_ 1.69% : 0.000015s : 109: predicate.updatestate_pure_node_eliminater 2.35% : 0.000021s : 140: predicate.updatestate_useless_node_eliminater 1.79% : 0.000016s : 90: predicate.value_based_eliminate 0.06% : 0.000001s : 3: predicate.virtual_view_grad_eliminate 0.10% : 0.000001s : 3: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.008043 85 51.60% : 0.004151s : 42: func_graph_cloner_run.FuncGraphClonerGraph 48.40% : 0.003893s : 43: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.203947 90 0.00% : 0.000057s : 1: add_recomputation 0.01% : 0.000162s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.03% : 0.000383s : 1: bootstrap 0.00% : 0.000040s : 1: cconv 0.00% : 0.000010s : 1: convert_after_rewriter 0.00% : 0.000025s : 1: cse_after_recomputation 0.00% : 0.000013s : 1: environ_conv 0.00% : 0.000045s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000013s : 1: graph_reusing 56.07% : 0.675069s : 1: jit_opt_a 0.02% : 0.000190s : 1: jit_opt_after_cconv 0.01% : 0.000065s : 1: jit_opt_b 0.05% : 0.000582s : 1: loop_unroll 0.07% : 0.000846s : 1: mutable_eliminate 0.66% : 0.007976s : 39: opt.transform.jit_opt_a 0.00% : 0.000057s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000030s : 4: opt.transform.jit_opt_b 0.00% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000023s : 1: opt.transform.mutable_eliminate 0.00% : 0.000037s : 1: opt.transform.opt_after_jit_grad 0.09% : 0.001082s : 2: opt.transform.opt_resolve 0.01% : 0.000158s : 1: opt.transform.partial_eliminate 0.00% : 0.000043s : 4: opt.transform.symbol_engine_opt 0.06% : 0.000776s : 1: opt_after_jit_grad 0.00% : 0.000007s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.00% : 0.000057s : 1: py_interpret_to_execute 0.00% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 19.12% : 0.230235s : 2: renormalize.infer 0.79% : 0.009489s : 2: renormalize.specialize 0.05% : 0.000592s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000048s : 1: rewriter_after_opt_a 0.02% : 0.000205s : 1: rewriter_before_opt_a 0.01% : 0.000102s : 1: symbol_engine_optimizer 22.88% : 0.275423s : 1: type_inference . [hook] pytest_runtest_teardown:test_my_ms_jit_stream_ctx tests/st/compiler/stream_event/test_with_stream.py::test_my_ms_jit_stream_ctx,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_with_stream.py::test_my_ms_jit_stream_ctx /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 292.08s (0:04:52) ==================