==================================================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/runtime/multi_core_multi_stream, configfile: ../../../../../../../sault/virtual_test/virtualenv_004/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 ==================================================Ascend ============================= test session starts ============================== platform linux -- Python 3.9.19, pytest-6.2.5, py-1.11.0, pluggy-1.5.0 -- /home/jenkins/anaconda3/envs/ci39/bin/python3.9 cachedir: .pytest_cache rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st, configfile: pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collecting ... collected 1 item run_with_stream_event.py::test_multi_withstream_single_event [MS_ALLOC_CONF] config: memory_tracker:True TotalTime = 0.771315, [21] [bootstrap]: 0.00063728 [type_inference]: 0.521669 [event_method]: 0.00013493 [auto_monad]: 0.00024044 [graph_reusing]: 1.099e-05 [inline]: 2.79001e-06 [add_attr]: 0.119516, [1] [add_attr_with_inline]: 0.119503, [1] [Cycle 1]: 0.00015028, [2] [tag_attr]: 5.881e-05 [meta_addattr_fg_expand]: 1.414e-05 [parallel-infer-symbol]: 4.08001e-06 [pre_auto_parallel]: 0.00010101 [insert-virtual-dataset]: 2.76999e-06 [parallel-infer-symbol-second]: 1.05001e-06 [dataset_repeat_opt]: 1.94e-06 [pipeline_split]: 1.49e-06 [optimize]: 0.126712, [53] [py_interpret_to_execute]: 6.002e-05 [rewriter_before_opt_a]: 0.00024774 [opt_a]: 0.120657, [3] [Cycle 1]: 0.00934589, [45] [expand_dump_flag]: 4.1e-06 [switch_simplify]: 9.502e-05 [loop_unroll]: 8.008e-05 [a_1]: 0.0026063 [with_stream_mark]: 0.00028592 [recompute_prepare]: 8.443e-05 [updatestate_depend_eliminate]: 3.116e-05 [updatestate_assign_eliminate]: 2.719e-05 [updatestate_loads_eliminate]: 2.679e-05 [parameter_eliminate]: 6.24999e-06 [a_2]: 0.00151867 [accelerated_algorithm]: 9.614e-05 [shard]: 2.51e-06 [meta_shard_fg_expand]: 1.092e-05 [shard_inline]: 3.414e-05 [merge_send_recv]: 3.215e-05 [auto_parallel]: 2.938e-05 [parallel]: 4.363e-05 [flash_sp]: 2.092e-05 [merge_comm]: 2.432e-05 [allreduce_fusion]: 2.241e-05 [matmul_add_comm_reduction]: 3.494e-05 [allreduce_slice_to_reducescatter]: 1.14e-06 [virtual_shard_identity]: 3.766e-05 [virtual_dataset]: 3.229e-05 [get_grad_eliminate_]: 3.121e-05 [virtual_output]: 3.254e-05 [merge_forward]: 2.314e-05 [cell_reuse_recompute_pass]: 1.72001e-06 [offload_activation]: 5.591e-05 [cell_reuse_handle_not_recompute_node_pass]: 7.898e-05 [merge_recompute_call_nodes]: 1.62001e-06 [before_grad]: 6.753e-05 [set_forward_comm_id_for_comm_node_pass]: 2.794e-05 [meta_fg_expand]: 1.678e-05 [flash_sp_send_recv_attached]: 6.56e-06 [receive_attached]: 1.272e-05 [after_resolve]: 3.988e-05 [a_after_grad]: 5.41e-05 [renormalize]: 0.00266843 [add_forward_monad_depend]: 1.186e-05 [auto_monad_grad]: 3.43e-06 [auto_monad_eliminator]: 7.2e-05 [cse]: 0.00017082 [a_3]: 0.0002425 [Cycle 2]: 0.108528, [45] [expand_dump_flag]: 2.64999e-06 [switch_simplify]: 3.232e-05 [loop_unroll]: 2.933e-05 [a_1]: 0.103981 [with_stream_mark]: 7.184e-05 [recompute_prepare]: 5.371e-05 [updatestate_depend_eliminate]: 2.87e-05 [updatestate_assign_eliminate]: 2.078e-05 [updatestate_loads_eliminate]: 1.966e-05 [parameter_eliminate]: 2.74999e-06 [a_2]: 0.00103681 [accelerated_algorithm]: 4.309e-05 [shard]: 3.17002e-06 [meta_shard_fg_expand]: 1.045e-05 [shard_inline]: 2.729e-05 [merge_send_recv]: 2.898e-05 [auto_parallel]: 2.708e-05 [parallel]: 1.106e-05 [flash_sp]: 5.04e-06 [merge_comm]: 1.893e-05 [allreduce_fusion]: 1.852e-05 [matmul_add_comm_reduction]: 3.03e-05 [allreduce_slice_to_reducescatter]: 1.57999e-06 [virtual_shard_identity]: 3.053e-05 [virtual_dataset]: 2.609e-05 [get_grad_eliminate_]: 2.525e-05 [virtual_output]: 2.597e-05 [merge_forward]: 1.763e-05 [cell_reuse_recompute_pass]: 2.72001e-06 [offload_activation]: 3.052e-05 [cell_reuse_handle_not_recompute_node_pass]: 6.1e-05 [merge_recompute_call_nodes]: 1.62999e-06 [before_grad]: 5.475e-05 [set_forward_comm_id_for_comm_node_pass]: 1.99e-05 [meta_fg_expand]: 1.297e-05 [flash_sp_send_recv_attached]: 1.72001e-06 [receive_attached]: 2.57001e-06 [after_resolve]: 3.137e-05 [a_after_grad]: 4.358e-05 [renormalize]: 0.00167631 [add_forward_monad_depend]: 8.67e-06 [auto_monad_grad]: 2.38002e-06 [auto_monad_eliminator]: 5.442e-05 [cse]: 0.00013004 [a_3]: 0.00021345 [Cycle 3]: 0.00275813, [45] [expand_dump_flag]: 2.93998e-06 [switch_simplify]: 2.861e-05 [loop_unroll]: 2.592e-05 [a_1]: 0.00080727 [with_stream_mark]: 3.257e-05 [recompute_prepare]: 2.695e-05 [updatestate_depend_eliminate]: 1.873e-05 [updatestate_assign_eliminate]: 1.597e-05 [updatestate_loads_eliminate]: 1.555e-05 [parameter_eliminate]: 3.31001e-06 [a_2]: 0.00044798 [accelerated_algorithm]: 3.933e-05 [shard]: 1.99e-06 [meta_shard_fg_expand]: 6.09001e-06 [shard_inline]: 2.635e-05 [merge_send_recv]: 2.427e-05 [auto_parallel]: 2.329e-05 [parallel]: 9.20999e-06 [flash_sp]: 2.21e-06 [merge_comm]: 1.835e-05 [allreduce_fusion]: 1.763e-05 [matmul_add_comm_reduction]: 2.793e-05 [allreduce_slice_to_reducescatter]: 8.59989e-07 [virtual_shard_identity]: 2.962e-05 [virtual_dataset]: 2.579e-05 [get_grad_eliminate_]: 2.566e-05 [virtual_output]: 2.645e-05 [merge_forward]: 1.909e-05 [cell_reuse_recompute_pass]: 2.83e-06 [offload_activation]: 2.922e-05 [cell_reuse_handle_not_recompute_node_pass]: 6.233e-05 [merge_recompute_call_nodes]: 1.33002e-06 [before_grad]: 5.514e-05 [set_forward_comm_id_for_comm_node_pass]: 2.232e-05 [meta_fg_expand]: 1.249e-05 [flash_sp_send_recv_attached]: 1.79e-06 [receive_attached]: 1.71e-06 [after_resolve]: 3.139e-05 [a_after_grad]: 4.337e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 4.32e-06 [auto_monad_grad]: 2.59999e-06 [auto_monad_eliminator]: 4.597e-05 [cse]: 9.825e-05 [a_3]: 0.0002029 [py_interpret_to_execute_after_opt_a]: 3.873e-05 [slice_cell_reuse_recomputed_activation]: 4.90001e-06 [rewriter_after_opt_a]: 0.00075511 [convert_after_rewriter]: 4.404e-05 [order_py_execute_after_rewriter]: 2.357e-05 [mutable_eliminate]: 0.00087353 [opt_b]: 0.00098762, [1] [Cycle 1]: 0.00097181, [7] [b_1]: 0.00069894 [b_2]: 3.148e-05 [updatestate_depend_eliminate]: 2.593e-05 [updatestate_assign_eliminate]: 1.619e-05 [updatestate_loads_eliminate]: 1.646e-05 [renormalize]: 7.2e-07 [cse]: 0.00010671 [optimize_parallel_all_gather_comm]: 5.998e-05 [overlap_param_gather]: 1.131e-05 [cconv]: 5.123e-05 [loop_unroll]: 0.00064724 [opt_after_cconv]: 0.00039779, [1] [Cycle 1]: 0.00038436, [7] [c_1]: 0.00015637 [parameter_eliminate]: 5.30001e-06 [updatestate_depend_eliminate]: 2.325e-05 [updatestate_assign_eliminate]: 1.568e-05 [updatestate_loads_eliminate]: 1.611e-05 [cse]: 9.758e-05 [renormalize]: 5.89993e-07 [remove_dup_value]: 0.00017563 [tuple_transform]: 0.00028438, [1] [Cycle 1]: 0.00027364, [4] [d_1]: 0.00020174 [none_parameter_eliminate]: 2.91e-06 [renormalize]: 2.9002e-07 [switch_simplify]: 2.871e-05 [partial_unused_args_eliminate]: 5.83002e-06 [add_recomputation]: 0.0002368 [cse_after_recomputation]: 9.144e-05, [1] [Cycle 1]: 8.139e-05, [1] [cse]: 6.637e-05 [environ_conv]: 3.257e-05 [swap_dp_allreduce_reducescatter]: 2.709e-05 [bias_add_comm_swap]: 6.96001e-06 [label_micro_interleaved_index]: 1.036e-05 [label_fine_grained_interleaved_index]: 5.47001e-06 [merge_cast_opt]: 4.53001e-06 [slice_recompute_activation]: 5.22e-06 [micro_interleaved_order_control]: 5.12e-06 [assign_add_opt]: 4.17e-06 [ForceFp32Comm]: 3.43e-06 [remove_cast_before_assign_add]: 4.12998e-06 [full_micro_interleaved_order_control]: 5.39e-06 [reorder_send_recv_between_fp_bp]: 5.74e-06 [comm_op_add_attrs]: 4.05998e-06 [add_comm_op_reuse_tag]: 6.00002e-06 [interleave_split_concat_branches]: 4.38999e-06 [interleave_parallel_branches]: 3.96001e-06 [overlap_opt_shard_in_pipeline]: 3.128e-05 [overlap_opt_shard_grad_in_pipeline]: 4.72e-06 [control_data_broadcast_order]: 5.983e-05 [grouped_pairwise_exchange_alltoall]: 4.60001e-06 [offloading_packed_experts]: 1.72e-05 [overlap_recompute_and_grad_model_parallel]: 1.778e-05 [overlap_grad_matmul_and_grad_allreduce]: 4.33001e-06 [overlap_recompute_allgather_and_fa_grad]: 3.9e-06 [overlap_recompute_comm]: 5.69999e-06 [overlap_grad_ring_attention]: 1.677e-05 [overlap_grad_flash_sp]: 9.38e-05 [begin_end_overlap_inline]: 3.46999e-06 [split_matmul_comm_elemetwise]: 4.45e-06 [split_layernorm_comm]: 4.4e-06 [handle_group_info]: 3.72002e-06 [symbol_engine_optimizer]: 0.00031181, [1] [Cycle 1]: 0.00030112, [6] [build]: 2.101e-05 [elim_shapecalc]: 4.012e-05 [elim_not_effective]: 8.596e-05 [opt_reshape]: 2.992e-05 [fold_const_symbol]: 5.393e-05 [renormalize]: 2.69996e-07 [detach_backward]: 5.91e-06 [pipeline_parallel_scheduler]: 2.34999e-06 [auto_monad_reorder]: 7.67e-05 [get_jit_bprop_graph]: 2.23002e-06 [rewriter_after_jit_bprop_graph]: 9.34e-06 [opt_after_jit_grad]: 0.00090439 [validate]: 0.00016527 Sums bootstrap : 0.000637s : 0.10% type_inference : 0.521669s : 80.43% event_method : 0.000135s : 0.02% auto_monad : 0.000240s : 0.04% graph_reusing : 0.000011s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000059s : 0.01% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000014s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000101s : 0.02% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000001s : 0.00% optimize.py_interpret_to_execute : 0.000060s : 0.01% optimize.rewriter_before_opt_a : 0.000248s : 0.04% optimize.opt_a.expand_dump_flag : 0.000010s : 0.00% optimize.opt_a.switch_simplify : 0.000156s : 0.02% optimize.opt_a.loop_unroll : 0.000135s : 0.02% optimize.opt_a.a_1 : 0.107395s : 16.56% optimize.opt_a.with_stream_mark : 0.000390s : 0.06% optimize.opt_a.recompute_prepare : 0.000165s : 0.03% optimize.opt_a.updatestate_depend_eliminate : 0.000079s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000064s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000062s : 0.01% optimize.opt_a.parameter_eliminate : 0.000012s : 0.00% optimize.opt_a.a_2 : 0.003003s : 0.46% optimize.opt_a.accelerated_algorithm : 0.000179s : 0.03% optimize.opt_a.shard : 0.000008s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000027s : 0.00% optimize.opt_a.shard_inline : 0.000088s : 0.01% optimize.opt_a.merge_send_recv : 0.000085s : 0.01% optimize.opt_a.auto_parallel : 0.000080s : 0.01% optimize.opt_a.parallel : 0.000064s : 0.01% optimize.opt_a.flash_sp : 0.000028s : 0.00% optimize.opt_a.merge_comm : 0.000062s : 0.01% optimize.opt_a.allreduce_fusion : 0.000059s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000093s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000004s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000098s : 0.02% optimize.opt_a.virtual_dataset : 0.000084s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000082s : 0.01% optimize.opt_a.virtual_output : 0.000085s : 0.01% optimize.opt_a.merge_forward : 0.000060s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000007s : 0.00% optimize.opt_a.offload_activation : 0.000116s : 0.02% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000202s : 0.03% optimize.opt_a.merge_recompute_call_nodes : 0.000005s : 0.00% optimize.opt_a.before_grad : 0.000177s : 0.03% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000070s : 0.01% optimize.opt_a.meta_fg_expand : 0.000042s : 0.01% optimize.opt_a.flash_sp_send_recv_attached : 0.000010s : 0.00% optimize.opt_a.receive_attached : 0.000017s : 0.00% optimize.opt_a.after_resolve : 0.000103s : 0.02% optimize.opt_a.a_after_grad : 0.000141s : 0.02% optimize.opt_a.renormalize : 0.004345s : 0.67% optimize.opt_a.add_forward_monad_depend : 0.000025s : 0.00% optimize.opt_a.auto_monad_grad : 0.000008s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000172s : 0.03% optimize.opt_a.cse : 0.000399s : 0.06% optimize.opt_a.a_3 : 0.000659s : 0.10% optimize.py_interpret_to_execute_after_opt_a : 0.000039s : 0.01% optimize.slice_cell_reuse_recomputed_activation : 0.000005s : 0.00% optimize.rewriter_after_opt_a : 0.000755s : 0.12% optimize.convert_after_rewriter : 0.000044s : 0.01% optimize.order_py_execute_after_rewriter : 0.000024s : 0.00% optimize.mutable_eliminate : 0.000874s : 0.13% optimize.opt_b.b_1 : 0.000699s : 0.11% optimize.opt_b.b_2 : 0.000031s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000026s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000016s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000016s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000107s : 0.02% optimize.optimize_parallel_all_gather_comm : 0.000060s : 0.01% optimize.overlap_param_gather : 0.000011s : 0.00% optimize.cconv : 0.000051s : 0.01% optimize.loop_unroll : 0.000647s : 0.10% optimize.opt_after_cconv.c_1 : 0.000156s : 0.02% optimize.opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000023s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000016s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000016s : 0.00% optimize.opt_after_cconv.cse : 0.000098s : 0.02% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000176s : 0.03% optimize.tuple_transform.d_1 : 0.000202s : 0.03% optimize.tuple_transform.none_parameter_eliminate : 0.000003s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000029s : 0.00% optimize.partial_unused_args_eliminate : 0.000006s : 0.00% optimize.add_recomputation : 0.000237s : 0.04% optimize.cse_after_recomputation.cse : 0.000066s : 0.01% optimize.environ_conv : 0.000033s : 0.01% optimize.swap_dp_allreduce_reducescatter : 0.000027s : 0.00% optimize.bias_add_comm_swap : 0.000007s : 0.00% optimize.label_micro_interleaved_index : 0.000010s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000005s : 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 : 0.000005s : 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 : 0.000006s : 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 : 0.000031s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000005s : 0.00% optimize.control_data_broadcast_order : 0.000060s : 0.01% optimize.grouped_pairwise_exchange_alltoall : 0.000005s : 0.00% optimize.offloading_packed_experts : 0.000017s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000018s : 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 : 0.000017s : 0.00% optimize.overlap_grad_flash_sp : 0.000094s : 0.01% optimize.begin_end_overlap_inline : 0.000003s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000004s : 0.00% optimize.split_layernorm_comm : 0.000004s : 0.00% optimize.handle_group_info : 0.000004s : 0.00% optimize.symbol_engine_optimizer.build : 0.000021s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000040s : 0.01% optimize.symbol_engine_optimizer.elim_not_effective : 0.000086s : 0.01% optimize.symbol_engine_optimizer.opt_reshape : 0.000030s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000054s : 0.01% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000006s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000077s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.000904s : 0.14% validate : 0.000165s : 0.03% Time group info: ------[substitution.] 0.001237 412 0.84% : 0.000010s : 3: substitution.ad_related_special_op_eliminate 24.30% : 0.000301s : 33: substitution.arithmetic_simplify 4.99% : 0.000062s : 47: substitution.depend_value_elim 2.65% : 0.000033s : 24: substitution.elim_not_effective 0.66% : 0.000008s : 24: substitution.fold_const_symbol 1.55% : 0.000019s : 25: substitution.graph_param_transform 47.66% : 0.000590s : 28: substitution.inline 2.76% : 0.000034s : 78: substitution.j_node_and_user_rematch 4.58% : 0.000057s : 21: substitution.less_batch_normalization 1.94% : 0.000024s : 30: substitution.redundant_stop_gradient_eliminater 3.72% : 0.000046s : 78: substitution.remove_not_recompute_node 0.39% : 0.000005s : 6: substitution.replace_applicator 0.74% : 0.000009s : 3: substitution.replace_old_param 1.73% : 0.000021s : 6: substitution.set_cell_output_no_recompute 1.47% : 0.000018s : 6: substitution.specialize_transform ------[type_inference.] 0.521551 2 99.38% : 0.518320s : 1: type_inference.infer 0.62% : 0.003232s : 1: type_inference.specialize ------[replace.] 0.000293 22 14.17% : 0.000041s : 3: replace.ad_related_special_op_eliminate 18.51% : 0.000054s : 3: replace.depend_value_elim 67.33% : 0.000197s : 16: replace.inline ------[match.] 0.000576 22 1.50% : 0.000009s : 3: match.ad_related_special_op_eliminate 0.20% : 0.000001s : 3: match.depend_value_elim 98.30% : 0.000567s : 16: match.inline ------[predicate.] 0.104663 11276 0.02% : 0.000016s : 115: predicate.accumulaten_eliminater 0.01% : 0.000011s : 50: predicate.ad_related_special_op_eliminate 0.02% : 0.000023s : 158: predicate.addn_check_dump 0.02% : 0.000017s : 115: predicate.addn_zero_filter 0.01% : 0.000015s : 115: predicate.adjust_all_reduce_mul_add 0.05% : 0.000053s : 255: predicate.arithmetic_simplify 98.38% : 0.102963s : 115: predicate.cast_eliminate 0.01% : 0.000012s : 78: predicate.check_bprop_eliminate 0.02% : 0.000023s : 158: predicate.compare_switch_simplify 0.00% : 0.000002s : 25: predicate.const_output_eliminate 0.02% : 0.000023s : 143: predicate.depend_value_elim 0.02% : 0.000017s : 115: predicate.dict_get_item_const_eliminator 0.02% : 0.000017s : 115: predicate.dict_get_item_eliminator 0.02% : 0.000017s : 115: predicate.dict_set_item_eliminator 0.01% : 0.000012s : 72: predicate.dumpgradient_eliminate 0.00% : 0.000002s : 25: predicate.elim_not_effective 0.00% : 0.000004s : 25: predicate.elim_shapecalc_of_broadcastargs 0.02% : 0.000019s : 140: predicate.environ_add_const_eliminate 0.02% : 0.000019s : 140: predicate.environ_get_add_eliminate 0.02% : 0.000019s : 140: predicate.environ_get_depend_swap 0.04% : 0.000041s : 280: predicate.environ_get_eliminate 0.02% : 0.000019s : 140: predicate.environ_get_set_eliminate 0.02% : 0.000017s : 125: predicate.exchange_switch_depend_value 0.02% : 0.000023s : 125: predicate.float_depend_g_call 0.02% : 0.000023s : 158: predicate.float_environ_get_switch 0.02% : 0.000026s : 183: predicate.float_tuple_getitem_switch 0.00% : 0.000002s : 25: predicate.fold_const_symbol 0.01% : 0.000012s : 81: predicate.get_grad_eliminate 0.00% : 0.000002s : 25: predicate.graph_param_transform 0.02% : 0.000021s : 140: predicate.incorporate_call 0.02% : 0.000019s : 140: predicate.incorporate_call_switch 0.10% : 0.000100s : 523: predicate.inline 0.02% : 0.000016s : 81: predicate.inline_without_move 0.01% : 0.000006s : 81: predicate.j_node_and_user_rematch 0.02% : 0.000016s : 81: predicate.less_batch_normalization 0.02% : 0.000023s : 165: predicate.list_to_tuple_eliminator_ 0.04% : 0.000038s : 280: predicate.load_eliminater 0.01% : 0.000007s : 25: predicate.loop_unroll_after_grad 0.02% : 0.000021s : 145: predicate.loop_unroll_before_grad 0.02% : 0.000025s : 165: predicate.make_slice_get_slice_eliminator 0.02% : 0.000023s : 158: predicate.merge_addn 0.01% : 0.000011s : 78: predicate.micro_step_allgather_replace 0.01% : 0.000011s : 78: predicate.mini_step_allgather_replace 0.01% : 0.000016s : 115: predicate.minmaximum_grad 0.01% : 0.000008s : 25: predicate.mutable_eliminate 0.00% : 0.000004s : 25: predicate.opt_reshape 0.00% : 0.000004s : 25: predicate.parallel_virtual_node 0.03% : 0.000028s : 125: predicate.partial_defer_inline 0.02% : 0.000023s : 140: predicate.partial_eliminate 0.02% : 0.000016s : 115: predicate.print_const_string_wrapper 0.02% : 0.000020s : 137: predicate.reduce_all_const_elim 0.02% : 0.000021s : 115: predicate.reduce_eliminate 0.04% : 0.000040s : 280: predicate.redundant_stop_gradient_eliminater 0.01% : 0.000007s : 81: predicate.remove_not_recompute_node 0.02% : 0.000018s : 193: predicate.replace_applicator 0.01% : 0.000007s : 81: predicate.replace_old_param 0.00% : 0.000002s : 25: predicate.reset_defer_inline 0.02% : 0.000020s : 115: predicate.reshape_eliminate 0.01% : 0.000012s : 78: predicate.row_tensor_add_zeros_like 0.00% : 0.000004s : 25: predicate.row_tensor_eliminate 0.01% : 0.000014s : 78: predicate.same_eliminate 0.02% : 0.000020s : 102: predicate.set_cell_output_no_recompute 0.01% : 0.000014s : 81: predicate.shard_identity_eliminate 0.01% : 0.000011s : 72: predicate.special_op_eliminate 0.03% : 0.000027s : 158: predicate.specialize_transform 0.01% : 0.000014s : 78: predicate.split_environ_get_set_with_tuple_value 0.01% : 0.000014s : 81: predicate.stack_unstack_eliminate 0.00% : 0.000004s : 25: predicate.switch_call_monad_eliminater 0.02% : 0.000019s : 125: predicate.switch_defer_inline 0.03% : 0.000029s : 203: predicate.switch_layer_defer_inline 0.06% : 0.000068s : 453: predicate.switch_simplify 0.02% : 0.000016s : 115: predicate.tile_eliminate 0.01% : 0.000016s : 115: predicate.transpose_eliminate 0.02% : 0.000025s : 165: predicate.tuple_list_convert_item_index_to_positive 0.02% : 0.000025s : 165: predicate.tuple_list_get_item_const_eliminator 0.02% : 0.000025s : 165: predicate.tuple_list_get_item_depend_reorder 0.05% : 0.000050s : 305: predicate.tuple_list_get_item_eliminator 0.02% : 0.000025s : 165: predicate.tuple_list_get_set_item_eliminator 0.05% : 0.000048s : 305: predicate.tuple_list_set_item_eliminator 0.02% : 0.000023s : 165: predicate.tuple_to_list_eliminator_ 0.04% : 0.000038s : 280: predicate.updatestate_pure_node_eliminater 0.06% : 0.000060s : 420: predicate.updatestate_useless_node_eliminater 0.00% : 0.000004s : 25: predicate.value_based_eliminate 0.01% : 0.000013s : 81: predicate.virtual_dataset_eliminate 0.01% : 0.000013s : 81: predicate.virtual_output_eliminate 0.01% : 0.000007s : 47: predicate.virtual_view_grad_eliminate 0.00% : 0.000005s : 25: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.001909 25 27.95% : 0.000533s : 6: func_graph_cloner_run.FuncGraphClonerGraph 3.47% : 0.000066s : 1: func_graph_cloner_run.FuncGraphClonerNode 68.58% : 0.001309s : 18: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.135434 268 0.00% : 0.000006s : 1: ForceFp32Comm 10.53% : 0.119528s : 1: add_attr 10.53% : 0.119507s : 1: add_attr_with_inline 0.00% : 0.000009s : 1: add_comm_op_reuse_tag 0.02% : 0.000243s : 1: add_recomputation 0.00% : 0.000007s : 1: assign_add_opt 0.02% : 0.000257s : 1: auto_monad 0.01% : 0.000089s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: begin_end_overlap_inline 0.00% : 0.000010s : 1: bias_add_comm_swap 0.06% : 0.000709s : 1: bootstrap 0.00% : 0.000056s : 1: cconv 0.01% : 0.000071s : 1: comm_op_add_attrs 0.01% : 0.000064s : 1: control_data_broadcast_order 0.00% : 0.000050s : 1: convert_after_rewriter 0.01% : 0.000096s : 1: cse_after_recomputation 0.00% : 0.000008s : 1: dataset_repeat_opt 0.00% : 0.000038s : 1: detach_backward 0.00% : 0.000037s : 1: environ_conv 0.01% : 0.000154s : 1: event_method 0.00% : 0.000008s : 1: full_micro_interleaved_order_control 0.00% : 0.000038s : 1: get_jit_bprop_graph 0.00% : 0.000020s : 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% : 0.000009s : 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% : 0.000013s : 1: label_micro_interleaved_index 0.06% : 0.000656s : 1: loop_unroll 0.00% : 0.000007s : 1: merge_cast_opt 0.00% : 0.000008s : 1: micro_interleaved_order_control 0.08% : 0.000882s : 1: mutable_eliminate 0.00% : 0.000021s : 1: offloading_packed_experts 0.00% : 0.000043s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000047s : 1: opt.transform.mutable_eliminate 9.89% : 0.112301s : 151: opt.transform.opt_a 0.01% : 0.000155s : 1: opt.transform.opt_after_cconv 0.02% : 0.000237s : 2: opt.transform.opt_after_jit_grad 0.06% : 0.000642s : 28: opt.transform.opt_b 0.02% : 0.000225s : 2: opt.transform.opt_trans_graph 0.02% : 0.000203s : 4: opt.transform.symbol_engine_opt 10.63% : 0.120660s : 1: opt_a 0.04% : 0.000402s : 1: opt_after_cconv 0.08% : 0.000918s : 1: opt_after_jit_grad 0.09% : 0.000992s : 1: opt_b 11.22% : 0.127437s : 1: optimize 0.01% : 0.000064s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000027s : 1: order_py_execute_after_rewriter 0.01% : 0.000098s : 1: overlap_grad_flash_sp 0.00% : 0.000007s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000020s : 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% : 0.000015s : 1: overlap_param_gather 0.00% : 0.000007s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000021s : 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% : 0.000009s : 1: partial_unused_args_eliminate 0.00% : 0.000010s : 1: pipeline_parallel_scheduler 0.00% : 0.000008s : 1: pipeline_split 0.01% : 0.000111s : 1: pre_auto_parallel 0.01% : 0.000064s : 1: py_interpret_to_execute 0.00% : 0.000043s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000007s : 1: remove_cast_before_assign_add 0.02% : 0.000182s : 1: remove_dup_value 0.20% : 0.002263s : 2: renormalize.infer 0.18% : 0.002057s : 2: renormalize.specialize 0.00% : 0.000009s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000018s : 1: rewriter_after_jit_bprop_graph 0.07% : 0.000768s : 1: rewriter_after_opt_a 0.02% : 0.000252s : 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% : 0.000030s : 1: swap_dp_allreduce_reducescatter 0.03% : 0.000315s : 1: symbol_engine_optimizer 0.03% : 0.000288s : 1: tuple_transform 45.95% : 0.521728s : 1: type_inference PASSED =============================== 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 88.25s (0:01:28) =================== [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.989.743 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:534] Dump] MemoryTracker Dump start, task num: 31, mem block num: 18, user task num: 17 [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.989.843 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:139] RaceCheck] Begin race check [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.990.166 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:183] RaceCheck] End race check [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.990.220 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:195] Dump] Dump graph to file: ./tracker_graph.ir [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.990.480 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 16% [WARNING] 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[mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 74% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.990.920 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 83% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.990.979 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 93% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.058 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 103% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.330 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:551] DumpMemoryBlock] memory block csv path : ./memory_block.csv. [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.473 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 16% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.502 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 22% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.531 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 27% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.551 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 33% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.570 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 38% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.592 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 44% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.610 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 50% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.628 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 55% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.645 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 61% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.662 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 66% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.679 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 72% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.696 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 77% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.718 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 83% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.748 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 88% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.779 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 94% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.803 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 100% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.826 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 105% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.991.950 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:594] DumpTaskFile] task csv path: ./task.csv. [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.992.081 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 16% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.992.119 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 25% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.992.155 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 35% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.992.190 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 45% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.992.223 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 54% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.992.251 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 64% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.992.267 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 74% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.992.283 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 83% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.992.308 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 93% [WARNING] PRE_ACT(175148,ffffbece9f30,python3.9):2026-01-29-17:38:23.992.342 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 103% . [hook] pytest_runtest_teardown:test_multi_withstream_single_event tests/st/runtime/multi_core_multi_stream/test_with_stream_event.py::test_multi_withstream_single_event,max_mem:2.0M =============================== warnings summary =============================== ../../../mark_utils.py:60 /home/jenkins/mindspore/testcases/testcases/tests/mark_utils.py:60: PytestUnknownMarkWarning: Unknown pytest.mark.mem_peak - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/mark.html func = pytest.mark.mem_peak(mem_peak)(func) test_with_stream_event.py::test_multi_withstream_single_event /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222: DeprecationWarning: invalid escape sequence \B """ test_with_stream_event.py::test_multi_withstream_single_event /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 """ test_with_stream_event.py::test_multi_withstream_single_event /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 """ test_with_stream_event.py::test_multi_withstream_single_event /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]) test_with_stream_event.py::test_multi_withstream_single_event /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) test_with_stream_event.py::test_multi_withstream_single_event /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]) test_with_stream_event.py::test_multi_withstream_single_event /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) test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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") test_with_stream_event.py::test_multi_withstream_single_event /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, 26 warnings in 318.03s (0:05:18) ==================