==================================================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_event.py [WARNING] ME(169006:281473446756144,MainProcess):2026-01-29-17:37:54.568.7 [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(169006:281473446756144,MainProcess):2026-01-29-17:37:54.633.5 [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 = 0.598324, [21] [bootstrap]: 0.00058098 [type_inference]: 0.440767 [event_method]: 8.46e-05 [auto_monad]: 0.00015888 [graph_reusing]: 8.85999e-06 [inline]: 3.46001e-06 [add_attr]: 0.00800786, [1] [add_attr_with_inline]: 0.00799404, [1] [Cycle 1]: 0.00014165, [2] [tag_attr]: 4.44e-05 [meta_addattr_fg_expand]: 1.036e-05 [parallel-infer-symbol]: 4.07e-06 [pre_auto_parallel]: 8.143e-05 [insert-virtual-dataset]: 2.69001e-06 [parallel-infer-symbol-second]: 7.10017e-07 [dataset_repeat_opt]: 1.86998e-06 [pipeline_split]: 1.59e-06 [optimize]: 0.146481, [53] [py_interpret_to_execute]: 4.585e-05 [rewriter_before_opt_a]: 0.00015319 [opt_a]: 0.00884183, [2] [Cycle 1]: 0.00659473, [45] [expand_dump_flag]: 3.68999e-06 [switch_simplify]: 0.00036346 [loop_unroll]: 5.769e-05 [a_1]: 0.00153028 [with_stream_mark]: 0.00012585 [recompute_prepare]: 3.779e-05 [updatestate_depend_eliminate]: 1.786e-05 [updatestate_assign_eliminate]: 1.563e-05 [updatestate_loads_eliminate]: 1.49e-05 [parameter_eliminate]: 5.31998e-06 [a_2]: 0.00087785 [accelerated_algorithm]: 6.181e-05 [shard]: 2.37999e-06 [meta_shard_fg_expand]: 6.65002e-06 [shard_inline]: 2.277e-05 [merge_send_recv]: 2.065e-05 [auto_parallel]: 2.054e-05 [parallel]: 3.831e-05 [flash_sp]: 1.54e-05 [merge_comm]: 1.543e-05 [allreduce_fusion]: 1.482e-05 [matmul_add_comm_reduction]: 2.459e-05 [allreduce_slice_to_reducescatter]: 9.10019e-07 [virtual_shard_identity]: 2.438e-05 [virtual_dataset]: 2.151e-05 [get_grad_eliminate_]: 2.284e-05 [virtual_output]: 2.093e-05 [merge_forward]: 1.498e-05 [cell_reuse_recompute_pass]: 1.19e-06 [offload_activation]: 2.546e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.894e-05 [merge_recompute_call_nodes]: 1.62999e-06 [before_grad]: 4.07e-05 [set_forward_comm_id_for_comm_node_pass]: 1.491e-05 [meta_fg_expand]: 1.115e-05 [flash_sp_send_recv_attached]: 6.06998e-06 [receive_attached]: 1.536e-05 [after_resolve]: 2.761e-05 [a_after_grad]: 3.589e-05 [renormalize]: 0.00213878 [add_forward_monad_depend]: 9.56e-06 [auto_monad_grad]: 2.88998e-06 [auto_monad_eliminator]: 5.079e-05 [cse]: 0.00012447 [a_3]: 0.00017702 [Cycle 2]: 0.00222806, [45] [expand_dump_flag]: 2.59001e-06 [switch_simplify]: 2.366e-05 [loop_unroll]: 2.054e-05 [a_1]: 0.00063857 [with_stream_mark]: 2.929e-05 [recompute_prepare]: 2.233e-05 [updatestate_depend_eliminate]: 1.519e-05 [updatestate_assign_eliminate]: 1.283e-05 [updatestate_loads_eliminate]: 1.276e-05 [parameter_eliminate]: 2.11e-06 [a_2]: 0.0003491 [accelerated_algorithm]: 2.871e-05 [shard]: 2.49001e-06 [meta_shard_fg_expand]: 5.61e-06 [shard_inline]: 2.127e-05 [merge_send_recv]: 2.111e-05 [auto_parallel]: 2.061e-05 [parallel]: 9.50001e-06 [flash_sp]: 4.4e-06 [merge_comm]: 1.526e-05 [allreduce_fusion]: 1.474e-05 [matmul_add_comm_reduction]: 2.38e-05 [allreduce_slice_to_reducescatter]: 7.50006e-07 [virtual_shard_identity]: 2.362e-05 [virtual_dataset]: 2.065e-05 [get_grad_eliminate_]: 2.038e-05 [virtual_output]: 2.056e-05 [merge_forward]: 1.493e-05 [cell_reuse_recompute_pass]: 2.44001e-06 [offload_activation]: 2.467e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.762e-05 [merge_recompute_call_nodes]: 1.33002e-06 [before_grad]: 4.011e-05 [set_forward_comm_id_for_comm_node_pass]: 1.522e-05 [meta_fg_expand]: 9.87001e-06 [flash_sp_send_recv_attached]: 1.59998e-06 [receive_attached]: 2.61999e-06 [after_resolve]: 2.503e-05 [a_after_grad]: 3.377e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 3.55e-06 [auto_monad_grad]: 1.42999e-06 [auto_monad_eliminator]: 3.422e-05 [cse]: 7.665e-05 [a_3]: 0.00015516 [py_interpret_to_execute_after_opt_a]: 3.177e-05 [slice_cell_reuse_recomputed_activation]: 5.14e-06 [rewriter_after_opt_a]: 0.00047938 [convert_after_rewriter]: 2.881e-05 [order_py_execute_after_rewriter]: 1.811e-05 [mutable_eliminate]: 0.00074335 [opt_b]: 0.133322, [1] [Cycle 1]: 0.133305, [7] [b_1]: 0.132987 [b_2]: 3.406e-05 [updatestate_depend_eliminate]: 3.541e-05 [updatestate_assign_eliminate]: 1.425e-05 [updatestate_loads_eliminate]: 1.378e-05 [renormalize]: 7.39994e-07 [cse]: 0.00012117 [optimize_parallel_all_gather_comm]: 5.266e-05 [overlap_param_gather]: 1.125e-05 [cconv]: 5.326e-05 [loop_unroll]: 0.0008288 [opt_after_cconv]: 0.0003674, [1] [Cycle 1]: 0.00035215, [7] [c_1]: 0.0001457 [parameter_eliminate]: 6.71999e-06 [updatestate_depend_eliminate]: 2.466e-05 [updatestate_assign_eliminate]: 1.311e-05 [updatestate_loads_eliminate]: 1.269e-05 [cse]: 8.754e-05 [renormalize]: 5.8001e-07 [remove_dup_value]: 0.00012066 [tuple_transform]: 0.00024083, [1] [Cycle 1]: 0.00023153, [4] [d_1]: 0.00017262 [none_parameter_eliminate]: 1.94999e-06 [renormalize]: 1.39989e-07 [switch_simplify]: 2.42e-05 [partial_unused_args_eliminate]: 5.43002e-06 [add_recomputation]: 0.00018472 [cse_after_recomputation]: 8.275e-05, [1] [Cycle 1]: 7.469e-05, [1] [cse]: 6.15e-05 [environ_conv]: 3.939e-05 [swap_dp_allreduce_reducescatter]: 2.436e-05 [bias_add_comm_swap]: 6.40997e-06 [label_micro_interleaved_index]: 8.83001e-06 [label_fine_grained_interleaved_index]: 6.25002e-06 [merge_cast_opt]: 4.81002e-06 [slice_recompute_activation]: 4.99e-06 [micro_interleaved_order_control]: 5.35999e-06 [assign_add_opt]: 4.15999e-06 [ForceFp32Comm]: 3.46999e-06 [remove_cast_before_assign_add]: 3.65998e-06 [full_micro_interleaved_order_control]: 5.84e-06 [reorder_send_recv_between_fp_bp]: 6.14001e-06 [comm_op_add_attrs]: 3.78999e-06 [add_comm_op_reuse_tag]: 3.85998e-06 [interleave_split_concat_branches]: 3.87998e-06 [interleave_parallel_branches]: 4.32e-06 [overlap_opt_shard_in_pipeline]: 3.167e-05 [overlap_opt_shard_grad_in_pipeline]: 4.55999e-06 [control_data_broadcast_order]: 4.776e-05 [grouped_pairwise_exchange_alltoall]: 4.24002e-06 [offloading_packed_experts]: 1.475e-05 [overlap_recompute_and_grad_model_parallel]: 1.502e-05 [overlap_grad_matmul_and_grad_allreduce]: 4.25e-06 [overlap_recompute_allgather_and_fa_grad]: 4.28999e-06 [overlap_recompute_comm]: 5.84e-06 [overlap_grad_ring_attention]: 1.445e-05 [overlap_grad_flash_sp]: 8.755e-05 [begin_end_overlap_inline]: 3.31001e-06 [split_matmul_comm_elemetwise]: 5.60001e-06 [split_layernorm_comm]: 4.84003e-06 [handle_group_info]: 3.69002e-06 [symbol_engine_optimizer]: 0.0002225, [1] [Cycle 1]: 0.0002147, [6] [build]: 1.749e-05 [elim_shapecalc]: 3.06e-05 [elim_not_effective]: 4.589e-05 [opt_reshape]: 2.507e-05 [fold_const_symbol]: 4.249e-05 [renormalize]: 2.10013e-07 [detach_backward]: 4.80001e-06 [pipeline_parallel_scheduler]: 1.97999e-06 [auto_monad_reorder]: 0.00014718 [get_jit_bprop_graph]: 2.14e-06 [rewriter_after_jit_bprop_graph]: 6.73e-06 [opt_after_jit_grad]: 0.00093942 [validate]: 0.0001409 Sums bootstrap : 0.000581s : 0.10% type_inference : 0.440767s : 74.95% event_method : 0.000085s : 0.01% auto_monad : 0.000159s : 0.03% graph_reusing : 0.000009s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000044s : 0.01% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000010s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000081s : 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 : 0.000046s : 0.01% optimize.rewriter_before_opt_a : 0.000153s : 0.03% optimize.opt_a.expand_dump_flag : 0.000006s : 0.00% optimize.opt_a.switch_simplify : 0.000387s : 0.07% optimize.opt_a.loop_unroll : 0.000078s : 0.01% optimize.opt_a.a_1 : 0.002169s : 0.37% optimize.opt_a.with_stream_mark : 0.000155s : 0.03% optimize.opt_a.recompute_prepare : 0.000060s : 0.01% optimize.opt_a.updatestate_depend_eliminate : 0.000033s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000028s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000028s : 0.00% optimize.opt_a.parameter_eliminate : 0.000007s : 0.00% optimize.opt_a.a_2 : 0.001227s : 0.21% optimize.opt_a.accelerated_algorithm : 0.000091s : 0.02% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000012s : 0.00% optimize.opt_a.shard_inline : 0.000044s : 0.01% optimize.opt_a.merge_send_recv : 0.000042s : 0.01% optimize.opt_a.auto_parallel : 0.000041s : 0.01% optimize.opt_a.parallel : 0.000048s : 0.01% optimize.opt_a.flash_sp : 0.000020s : 0.00% optimize.opt_a.merge_comm : 0.000031s : 0.01% optimize.opt_a.allreduce_fusion : 0.000030s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000048s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000048s : 0.01% optimize.opt_a.virtual_dataset : 0.000042s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000043s : 0.01% optimize.opt_a.virtual_output : 0.000041s : 0.01% optimize.opt_a.merge_forward : 0.000030s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% optimize.opt_a.offload_activation : 0.000050s : 0.01% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000097s : 0.02% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000081s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000030s : 0.01% optimize.opt_a.meta_fg_expand : 0.000021s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000008s : 0.00% optimize.opt_a.receive_attached : 0.000018s : 0.00% optimize.opt_a.after_resolve : 0.000053s : 0.01% optimize.opt_a.a_after_grad : 0.000070s : 0.01% optimize.opt_a.renormalize : 0.002139s : 0.36% optimize.opt_a.add_forward_monad_depend : 0.000013s : 0.00% optimize.opt_a.auto_monad_grad : 0.000004s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000085s : 0.01% optimize.opt_a.cse : 0.000201s : 0.03% optimize.opt_a.a_3 : 0.000332s : 0.06% optimize.py_interpret_to_execute_after_opt_a : 0.000032s : 0.01% optimize.slice_cell_reuse_recomputed_activation : 0.000005s : 0.00% optimize.rewriter_after_opt_a : 0.000479s : 0.08% optimize.convert_after_rewriter : 0.000029s : 0.00% optimize.order_py_execute_after_rewriter : 0.000018s : 0.00% optimize.mutable_eliminate : 0.000743s : 0.13% optimize.opt_b.b_1 : 0.132987s : 22.61% optimize.opt_b.b_2 : 0.000034s : 0.01% optimize.opt_b.updatestate_depend_eliminate : 0.000035s : 0.01% optimize.opt_b.updatestate_assign_eliminate : 0.000014s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000014s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000121s : 0.02% optimize.optimize_parallel_all_gather_comm : 0.000053s : 0.01% optimize.overlap_param_gather : 0.000011s : 0.00% optimize.cconv : 0.000053s : 0.01% optimize.loop_unroll : 0.000829s : 0.14% optimize.opt_after_cconv.c_1 : 0.000146s : 0.02% optimize.opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000025s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000013s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000013s : 0.00% optimize.opt_after_cconv.cse : 0.000088s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000121s : 0.02% optimize.tuple_transform.d_1 : 0.000173s : 0.03% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000024s : 0.00% optimize.partial_unused_args_eliminate : 0.000005s : 0.00% optimize.add_recomputation : 0.000185s : 0.03% optimize.cse_after_recomputation.cse : 0.000062s : 0.01% optimize.environ_conv : 0.000039s : 0.01% optimize.swap_dp_allreduce_reducescatter : 0.000024s : 0.00% optimize.bias_add_comm_swap : 0.000006s : 0.00% optimize.label_micro_interleaved_index : 0.000009s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000006s : 0.00% optimize.merge_cast_opt : 0.000005s : 0.00% optimize.slice_recompute_activation : 0.000005s : 0.00% optimize.micro_interleaved_order_control : 0.000005s : 0.00% optimize.assign_add_opt : 0.000004s : 0.00% optimize.ForceFp32Comm : 0.000003s : 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 : 0.000004s : 0.00% optimize.interleave_parallel_branches : 0.000004s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000032s : 0.01% optimize.overlap_opt_shard_grad_in_pipeline : 0.000005s : 0.00% optimize.control_data_broadcast_order : 0.000048s : 0.01% optimize.grouped_pairwise_exchange_alltoall : 0.000004s : 0.00% optimize.offloading_packed_experts : 0.000015s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000015s : 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 : 0.000006s : 0.00% optimize.overlap_grad_ring_attention : 0.000014s : 0.00% optimize.overlap_grad_flash_sp : 0.000088s : 0.01% optimize.begin_end_overlap_inline : 0.000003s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000006s : 0.00% optimize.split_layernorm_comm : 0.000005s : 0.00% optimize.handle_group_info : 0.000004s : 0.00% optimize.symbol_engine_optimizer.build : 0.000017s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000031s : 0.01% optimize.symbol_engine_optimizer.elim_not_effective : 0.000046s : 0.01% optimize.symbol_engine_optimizer.opt_reshape : 0.000025s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000042s : 0.01% 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 : 0.000147s : 0.03% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000939s : 0.16% validate : 0.000141s : 0.02% Time group info: ------[substitution.] 0.000564 208 1.67% : 0.000009s : 2: substitution.ad_related_special_op_eliminate 13.99% : 0.000079s : 17: substitution.arithmetic_simplify 4.31% : 0.000024s : 15: substitution.depend_value_elim 1.36% : 0.000008s : 19: substitution.elim_not_effective 1.25% : 0.000007s : 19: substitution.fold_const_symbol 2.98% : 0.000017s : 20: substitution.graph_param_transform 55.81% : 0.000315s : 14: substitution.inline 3.00% : 0.000017s : 38: substitution.j_node_and_user_rematch 5.93% : 0.000033s : 6: substitution.less_batch_normalization 2.17% : 0.000012s : 12: substitution.redundant_stop_gradient_eliminater 3.88% : 0.000022s : 38: substitution.remove_not_recompute_node 0.45% : 0.000003s : 2: substitution.replace_applicator 0.96% : 0.000005s : 2: substitution.replace_old_param 0.69% : 0.000004s : 2: substitution.set_cell_output_no_recompute 1.55% : 0.000009s : 2: substitution.specialize_transform ------[type_inference.] 0.440676 2 99.53% : 0.438625s : 1: type_inference.infer 0.47% : 0.002051s : 1: type_inference.specialize ------[replace.] 0.000124 12 30.78% : 0.000038s : 2: replace.ad_related_special_op_eliminate 69.22% : 0.000086s : 10: replace.inline ------[match.] 0.000313 12 2.55% : 0.000008s : 2: match.ad_related_special_op_eliminate 97.45% : 0.000305s : 10: match.inline ------[predicate.] 0.001204 5958 0.63% : 0.000008s : 58: predicate.accumulaten_eliminater 0.83% : 0.000010s : 40: predicate.ad_related_special_op_eliminate 0.76% : 0.000009s : 66: predicate.addn_check_dump 0.65% : 0.000008s : 58: predicate.addn_zero_filter 0.62% : 0.000008s : 58: predicate.adjust_all_reduce_mul_add 1.97% : 0.000024s : 118: predicate.arithmetic_simplify 0.66% : 0.000008s : 58: predicate.cast_eliminate 0.47% : 0.000006s : 40: predicate.check_bprop_eliminate 0.75% : 0.000009s : 66: predicate.compare_switch_simplify 0.21% : 0.000002s : 20: predicate.const_output_eliminate 0.74% : 0.000009s : 60: predicate.depend_value_elim 0.68% : 0.000008s : 58: predicate.dict_get_item_const_eliminator 0.72% : 0.000009s : 58: predicate.dict_get_item_eliminator 0.65% : 0.000008s : 58: predicate.dict_set_item_eliminator 0.88% : 0.000011s : 58: predicate.dumpgradient_eliminate 0.14% : 0.000002s : 20: predicate.elim_not_effective 0.29% : 0.000004s : 20: predicate.elim_shapecalc_of_broadcastargs 0.93% : 0.000011s : 78: predicate.environ_add_const_eliminate 2.45% : 0.000030s : 78: predicate.environ_get_add_eliminate 0.89% : 0.000011s : 78: predicate.environ_get_depend_swap 1.58% : 0.000019s : 138: predicate.environ_get_eliminate 1.16% : 0.000014s : 78: predicate.environ_get_set_eliminate 0.74% : 0.000009s : 66: predicate.exchange_switch_depend_value 1.01% : 0.000012s : 66: predicate.float_depend_g_call 0.76% : 0.000009s : 66: predicate.float_environ_get_switch 1.03% : 0.000012s : 86: predicate.float_tuple_getitem_switch 0.13% : 0.000002s : 20: predicate.fold_const_symbol 0.52% : 0.000006s : 40: predicate.get_grad_eliminate 0.18% : 0.000002s : 20: predicate.graph_param_transform 0.71% : 0.000009s : 60: predicate.incorporate_call 0.67% : 0.000008s : 60: predicate.incorporate_call_switch 4.12% : 0.000050s : 268: predicate.inline 0.64% : 0.000008s : 40: predicate.inline_without_move 0.23% : 0.000003s : 40: predicate.j_node_and_user_rematch 0.64% : 0.000008s : 40: predicate.less_batch_normalization 1.17% : 0.000014s : 98: predicate.list_to_tuple_eliminator_ 1.72% : 0.000021s : 156: predicate.load_eliminater 0.57% : 0.000007s : 20: predicate.loop_unroll_after_grad 0.98% : 0.000012s : 84: predicate.loop_unroll_before_grad 1.21% : 0.000015s : 98: predicate.make_slice_get_slice_eliminator 0.78% : 0.000009s : 66: predicate.merge_addn 0.47% : 0.000006s : 40: predicate.micro_step_allgather_replace 0.47% : 0.000006s : 40: predicate.mini_step_allgather_replace 0.62% : 0.000007s : 58: predicate.minmaximum_grad 0.55% : 0.000007s : 20: predicate.mutable_eliminate 0.32% : 0.000004s : 20: predicate.opt_reshape 0.30% : 0.000004s : 20: predicate.parallel_virtual_node 0.87% : 0.000011s : 66: predicate.partial_defer_inline 1.00% : 0.000012s : 78: predicate.partial_eliminate 0.63% : 0.000008s : 58: predicate.print_const_string_wrapper 0.73% : 0.000009s : 60: predicate.reduce_all_const_elim 0.82% : 0.000010s : 58: predicate.reduce_eliminate 1.82% : 0.000022s : 156: predicate.redundant_stop_gradient_eliminater 0.28% : 0.000003s : 40: predicate.remove_not_recompute_node 0.76% : 0.000009s : 98: predicate.replace_applicator 0.30% : 0.000004s : 40: predicate.replace_old_param 0.14% : 0.000002s : 20: predicate.reset_defer_inline 0.64% : 0.000008s : 58: predicate.reshape_eliminate 0.49% : 0.000006s : 40: predicate.row_tensor_add_zeros_like 0.32% : 0.000004s : 20: predicate.row_tensor_eliminate 0.59% : 0.000007s : 40: predicate.same_eliminate 0.36% : 0.000004s : 46: predicate.set_cell_output_no_recompute 0.57% : 0.000007s : 40: predicate.shard_identity_eliminate 0.79% : 0.000010s : 58: predicate.special_op_eliminate 0.94% : 0.000011s : 66: predicate.specialize_transform 0.62% : 0.000007s : 40: predicate.split_environ_get_set_with_tuple_value 0.58% : 0.000007s : 40: predicate.stack_unstack_eliminate 0.29% : 0.000004s : 20: predicate.switch_call_monad_eliminater 0.77% : 0.000009s : 66: predicate.switch_defer_inline 1.25% : 0.000015s : 106: predicate.switch_layer_defer_inline 26.51% : 0.000319s : 236: predicate.switch_simplify 0.65% : 0.000008s : 58: predicate.tile_eliminate 0.63% : 0.000008s : 58: predicate.transpose_eliminate 1.23% : 0.000015s : 98: predicate.tuple_list_convert_item_index_to_positive 1.20% : 0.000014s : 98: predicate.tuple_list_get_item_const_eliminator 1.20% : 0.000014s : 98: predicate.tuple_list_get_item_depend_reorder 2.11% : 0.000025s : 158: predicate.tuple_list_get_item_eliminator 1.21% : 0.000015s : 98: predicate.tuple_list_get_set_item_eliminator 1.97% : 0.000024s : 158: predicate.tuple_list_set_item_eliminator 2.12% : 0.000026s : 98: predicate.tuple_to_list_eliminator_ 1.71% : 0.000021s : 156: predicate.updatestate_pure_node_eliminater 2.46% : 0.000030s : 216: predicate.updatestate_useless_node_eliminater 0.40% : 0.000005s : 20: predicate.value_based_eliminate 0.52% : 0.000006s : 40: predicate.virtual_dataset_eliminate 0.50% : 0.000006s : 40: predicate.virtual_output_eliminate 0.56% : 0.000007s : 38: predicate.virtual_view_grad_eliminate 0.28% : 0.000003s : 20: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.001283 18 43.38% : 0.000557s : 6: func_graph_cloner_run.FuncGraphClonerGraph 56.62% : 0.000727s : 12: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.892969 210 0.00% : 0.000006s : 1: ForceFp32Comm 0.90% : 0.008020s : 1: add_attr 0.90% : 0.007998s : 1: add_attr_with_inline 0.00% : 0.000007s : 1: add_comm_op_reuse_tag 0.02% : 0.000190s : 1: add_recomputation 0.00% : 0.000007s : 1: assign_add_opt 0.02% : 0.000170s : 1: auto_monad 0.02% : 0.000158s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: begin_end_overlap_inline 0.00% : 0.000009s : 1: bias_add_comm_swap 0.07% : 0.000649s : 1: bootstrap 0.01% : 0.000057s : 1: cconv 0.00% : 0.000007s : 1: comm_op_add_attrs 0.01% : 0.000051s : 1: control_data_broadcast_order 0.00% : 0.000033s : 1: convert_after_rewriter 0.01% : 0.000087s : 1: cse_after_recomputation 0.00% : 0.000007s : 1: dataset_repeat_opt 0.00% : 0.000028s : 1: detach_backward 0.00% : 0.000044s : 1: environ_conv 0.01% : 0.000099s : 1: event_method 0.00% : 0.000009s : 1: full_micro_interleaved_order_control 0.00% : 0.000009s : 1: get_jit_bprop_graph 0.00% : 0.000016s : 1: graph_reusing 0.00% : 0.000007s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000007s : 1: handle_group_info 0.00% : 0.000009s : 1: inline 0.00% : 0.000009s : 1: insert-virtual-dataset 0.00% : 0.000007s : 1: interleave_parallel_branches 0.00% : 0.000007s : 1: interleave_split_concat_branches 0.00% : 0.000010s : 1: label_fine_grained_interleaved_index 0.00% : 0.000012s : 1: label_micro_interleaved_index 0.09% : 0.000837s : 1: loop_unroll 0.00% : 0.000008s : 1: merge_cast_opt 0.00% : 0.000008s : 1: micro_interleaved_order_control 0.08% : 0.000750s : 1: mutable_eliminate 0.00% : 0.000018s : 1: offloading_packed_experts 0.00% : 0.000039s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000037s : 1: opt.transform.mutable_eliminate 0.52% : 0.004608s : 95: opt.transform.opt_a 0.02% : 0.000144s : 1: opt.transform.opt_after_cconv 0.02% : 0.000214s : 2: opt.transform.opt_after_jit_grad 14.88% : 0.132897s : 28: opt.transform.opt_b 0.02% : 0.000194s : 2: opt.transform.opt_trans_graph 0.02% : 0.000140s : 4: opt.transform.symbol_engine_opt 0.99% : 0.008845s : 1: opt_a 0.04% : 0.000372s : 1: opt_after_cconv 0.11% : 0.000952s : 1: opt_after_jit_grad 14.93% : 0.133327s : 1: opt_b 16.47% : 0.147075s : 1: optimize 0.01% : 0.000056s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000021s : 1: order_py_execute_after_rewriter 0.01% : 0.000092s : 1: overlap_grad_flash_sp 0.00% : 0.000007s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000017s : 1: overlap_grad_ring_attention 0.00% : 0.000007s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000035s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000015s : 1: overlap_param_gather 0.00% : 0.000007s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000018s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000009s : 1: overlap_recompute_comm 0.00% : 0.000010s : 1: parallel-infer-symbol 0.00% : 0.000006s : 1: parallel-infer-symbol-second 0.00% : 0.000009s : 1: partial_unused_args_eliminate 0.00% : 0.000009s : 1: pipeline_parallel_scheduler 0.00% : 0.000007s : 1: pipeline_split 0.01% : 0.000090s : 1: pre_auto_parallel 0.01% : 0.000049s : 1: py_interpret_to_execute 0.00% : 0.000035s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000006s : 1: remove_cast_before_assign_add 0.01% : 0.000125s : 1: remove_dup_value 0.13% : 0.001171s : 1: renormalize.infer 0.11% : 0.000958s : 1: renormalize.specialize 0.00% : 0.000009s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000013s : 1: rewriter_after_jit_bprop_graph 0.05% : 0.000487s : 1: rewriter_after_opt_a 0.02% : 0.000157s : 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% : 0.000008s : 1: split_layernorm_comm 0.00% : 0.000008s : 1: split_matmul_comm_elemetwise 0.00% : 0.000028s : 1: swap_dp_allreduce_reducescatter 0.03% : 0.000226s : 1: symbol_engine_optimizer 0.03% : 0.000244s : 1: tuple_transform 49.36% : 0.440811s : 1: type_inference [WARNING] ME(169006:281473446756144,MainProcess):2026-01-29-17:38:06.286.328 [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. . [hook] pytest_runtest_teardown:test_with_stream_multi_events tests/st/compiler/stream_event/test_with_stream_event.py::test_with_stream_multi_events,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") -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 1 passed, 25 warnings in 77.27s (0:01:17) ===================