==================================================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_008/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_single_withstream_multi_event [MS_ALLOC_CONF] config: memory_tracker:True TotalTime = 1.45534, [21] [bootstrap]: 0.00080175 [type_inference]: 1.04242 [event_method]: 8.872e-05 [auto_monad]: 0.00015883 [graph_reusing]: 8.76002e-06 [inline]: 3.95e-06 [add_attr]: 0.31547, [1] [add_attr_with_inline]: 0.315457, [1] [Cycle 1]: 0.00013657, [2] [tag_attr]: 4.322e-05 [meta_addattr_fg_expand]: 1.02e-05 [parallel-infer-symbol]: 3.73999e-06 [pre_auto_parallel]: 7.952e-05 [insert-virtual-dataset]: 2.66999e-06 [parallel-infer-symbol-second]: 6.59988e-07 [dataset_repeat_opt]: 2.07999e-06 [pipeline_split]: 1.92999e-06 [optimize]: 0.0940266, [53] [py_interpret_to_execute]: 4.755e-05 [rewriter_before_opt_a]: 0.00016901 [opt_a]: 0.0890899, [2] [Cycle 1]: 0.0868163, [45] [expand_dump_flag]: 3.99002e-06 [switch_simplify]: 7.066e-05 [loop_unroll]: 5.509e-05 [a_1]: 0.00153938 [with_stream_mark]: 0.00011787 [recompute_prepare]: 3.593e-05 [updatestate_depend_eliminate]: 1.699e-05 [updatestate_assign_eliminate]: 1.431e-05 [updatestate_loads_eliminate]: 1.476e-05 [parameter_eliminate]: 5.02999e-06 [a_2]: 0.0810248 [accelerated_algorithm]: 8.025e-05 [shard]: 3.41001e-06 [meta_shard_fg_expand]: 1.193e-05 [shard_inline]: 2.142e-05 [merge_send_recv]: 3.66e-05 [auto_parallel]: 2.321e-05 [parallel]: 4.605e-05 [flash_sp]: 2.641e-05 [merge_comm]: 1.675e-05 [allreduce_fusion]: 1.507e-05 [matmul_add_comm_reduction]: 4.902e-05 [allreduce_slice_to_reducescatter]: 1.66998e-06 [virtual_shard_identity]: 2.563e-05 [virtual_dataset]: 2.114e-05 [get_grad_eliminate_]: 2.035e-05 [virtual_output]: 2.128e-05 [merge_forward]: 1.386e-05 [cell_reuse_recompute_pass]: 2.94001e-06 [offload_activation]: 2.589e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.764e-05 [merge_recompute_call_nodes]: 1.98002e-06 [before_grad]: 4.025e-05 [set_forward_comm_id_for_comm_node_pass]: 1.502e-05 [meta_fg_expand]: 1.2e-05 [flash_sp_send_recv_attached]: 6.31e-06 [receive_attached]: 1.208e-05 [after_resolve]: 2.589e-05 [a_after_grad]: 3.445e-05 [renormalize]: 0.00222603 [add_forward_monad_depend]: 9.77999e-06 [auto_monad_grad]: 2.63e-06 [auto_monad_eliminator]: 4.746e-05 [cse]: 0.0001193 [a_3]: 0.00036016 [Cycle 2]: 0.00225358, [45] [expand_dump_flag]: 2.94999e-06 [switch_simplify]: 2.336e-05 [loop_unroll]: 2.084e-05 [a_1]: 0.00063661 [with_stream_mark]: 2.858e-05 [recompute_prepare]: 2.08e-05 [updatestate_depend_eliminate]: 1.465e-05 [updatestate_assign_eliminate]: 1.299e-05 [updatestate_loads_eliminate]: 1.329e-05 [parameter_eliminate]: 2.62001e-06 [a_2]: 0.00035469 [accelerated_algorithm]: 2.87e-05 [shard]: 1.86e-06 [meta_shard_fg_expand]: 5.76998e-06 [shard_inline]: 2.126e-05 [merge_send_recv]: 2.09e-05 [auto_parallel]: 1.901e-05 [parallel]: 8.40001e-06 [flash_sp]: 4.20999e-06 [merge_comm]: 1.517e-05 [allreduce_fusion]: 1.492e-05 [matmul_add_comm_reduction]: 2.236e-05 [allreduce_slice_to_reducescatter]: 1.42999e-06 [virtual_shard_identity]: 2.257e-05 [virtual_dataset]: 2.132e-05 [get_grad_eliminate_]: 2.05e-05 [virtual_output]: 2.116e-05 [merge_forward]: 1.495e-05 [cell_reuse_recompute_pass]: 2.23998e-06 [offload_activation]: 2.573e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.776e-05 [merge_recompute_call_nodes]: 1.39998e-06 [before_grad]: 4.025e-05 [set_forward_comm_id_for_comm_node_pass]: 1.507e-05 [meta_fg_expand]: 1.053e-05 [flash_sp_send_recv_attached]: 1.51002e-06 [receive_attached]: 2.22999e-06 [after_resolve]: 2.448e-05 [a_after_grad]: 3.478e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 1.94999e-06 [auto_monad_grad]: 2.17001e-06 [auto_monad_eliminator]: 3.748e-05 [cse]: 7.59e-05 [a_3]: 0.0001879 [py_interpret_to_execute_after_opt_a]: 3.618e-05 [slice_cell_reuse_recomputed_activation]: 4.76997e-06 [rewriter_after_opt_a]: 0.00042874 [convert_after_rewriter]: 4.093e-05 [order_py_execute_after_rewriter]: 1.845e-05 [mutable_eliminate]: 0.00081087 [opt_b]: 0.00094361, [1] [Cycle 1]: 0.00093092, [7] [b_1]: 0.00070724 [b_2]: 2.497e-05 [updatestate_depend_eliminate]: 2.143e-05 [updatestate_assign_eliminate]: 1.242e-05 [updatestate_loads_eliminate]: 1.254e-05 [renormalize]: 9.89996e-07 [cse]: 8.795e-05 [optimize_parallel_all_gather_comm]: 5.226e-05 [overlap_param_gather]: 6.09001e-06 [cconv]: 4.947e-05 [loop_unroll]: 0.00060219 [opt_after_cconv]: 0.00032214, [1] [Cycle 1]: 0.00031079, [7] [c_1]: 0.0001284 [parameter_eliminate]: 4.12e-06 [updatestate_depend_eliminate]: 1.951e-05 [updatestate_assign_eliminate]: 1.27e-05 [updatestate_loads_eliminate]: 1.271e-05 [cse]: 7.592e-05 [renormalize]: 4.00003e-07 [remove_dup_value]: 0.00012197 [tuple_transform]: 0.00022152, [1] [Cycle 1]: 0.00021346, [4] [d_1]: 0.00015743 [none_parameter_eliminate]: 2.57001e-06 [renormalize]: 4.99975e-07 [switch_simplify]: 2.188e-05 [partial_unused_args_eliminate]: 4.95999e-06 [add_recomputation]: 0.00017268 [cse_after_recomputation]: 7.372e-05, [1] [Cycle 1]: 6.608e-05, [1] [cse]: 5.457e-05 [environ_conv]: 3.153e-05 [swap_dp_allreduce_reducescatter]: 2.469e-05 [bias_add_comm_swap]: 7.33e-06 [label_micro_interleaved_index]: 8.99e-06 [label_fine_grained_interleaved_index]: 5.92999e-06 [merge_cast_opt]: 4.32e-06 [slice_recompute_activation]: 5.38002e-06 [micro_interleaved_order_control]: 6.24001e-06 [assign_add_opt]: 4.49002e-06 [ForceFp32Comm]: 3.61001e-06 [remove_cast_before_assign_add]: 4.38999e-06 [full_micro_interleaved_order_control]: 5.02999e-06 [reorder_send_recv_between_fp_bp]: 6.21e-06 [comm_op_add_attrs]: 4.3e-06 [add_comm_op_reuse_tag]: 3.71999e-06 [interleave_split_concat_branches]: 4.35e-06 [interleave_parallel_branches]: 4.06001e-06 [overlap_opt_shard_in_pipeline]: 2.59e-05 [overlap_opt_shard_grad_in_pipeline]: 4.65001e-06 [control_data_broadcast_order]: 4.552e-05 [grouped_pairwise_exchange_alltoall]: 4.55001e-06 [offloading_packed_experts]: 1.465e-05 [overlap_recompute_and_grad_model_parallel]: 1.499e-05 [overlap_grad_matmul_and_grad_allreduce]: 4.31002e-06 [overlap_recompute_allgather_and_fa_grad]: 4.90999e-06 [overlap_recompute_comm]: 5.90002e-06 [overlap_grad_ring_attention]: 1.394e-05 [overlap_grad_flash_sp]: 6.766e-05 [begin_end_overlap_inline]: 3.23e-06 [split_matmul_comm_elemetwise]: 4.85999e-06 [split_layernorm_comm]: 4.75999e-06 [handle_group_info]: 3.85998e-06 [symbol_engine_optimizer]: 0.00022167, [1] [Cycle 1]: 0.0002136, [6] [build]: 3.413e-05 [elim_shapecalc]: 2.739e-05 [elim_not_effective]: 4.288e-05 [opt_reshape]: 2.148e-05 [fold_const_symbol]: 3.892e-05 [renormalize]: 1.59984e-07 [detach_backward]: 5.20001e-06 [pipeline_parallel_scheduler]: 2.14e-06 [auto_monad_reorder]: 0.00013517 [get_jit_bprop_graph]: 2.17999e-06 [rewriter_after_jit_bprop_graph]: 6.45002e-06 [opt_after_jit_grad]: 0.00087223 [validate]: 0.00013219 Sums bootstrap : 0.000802s : 0.07% type_inference : 1.042419s : 91.64% event_method : 0.000089s : 0.01% auto_monad : 0.000159s : 0.01% graph_reusing : 0.000009s : 0.00% inline : 0.000004s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000043s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000010s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000080s : 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 : 0.000048s : 0.00% optimize.rewriter_before_opt_a : 0.000169s : 0.01% optimize.opt_a.expand_dump_flag : 0.000007s : 0.00% optimize.opt_a.switch_simplify : 0.000094s : 0.01% optimize.opt_a.loop_unroll : 0.000076s : 0.01% optimize.opt_a.a_1 : 0.002176s : 0.19% optimize.opt_a.with_stream_mark : 0.000146s : 0.01% optimize.opt_a.recompute_prepare : 0.000057s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000032s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000027s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000028s : 0.00% optimize.opt_a.parameter_eliminate : 0.000008s : 0.00% optimize.opt_a.a_2 : 0.081379s : 7.15% optimize.opt_a.accelerated_algorithm : 0.000109s : 0.01% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000018s : 0.00% optimize.opt_a.shard_inline : 0.000043s : 0.00% optimize.opt_a.merge_send_recv : 0.000058s : 0.01% optimize.opt_a.auto_parallel : 0.000042s : 0.00% optimize.opt_a.parallel : 0.000054s : 0.00% optimize.opt_a.flash_sp : 0.000031s : 0.00% optimize.opt_a.merge_comm : 0.000032s : 0.00% optimize.opt_a.allreduce_fusion : 0.000030s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000071s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000003s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000048s : 0.00% optimize.opt_a.virtual_dataset : 0.000042s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000041s : 0.00% optimize.opt_a.virtual_output : 0.000042s : 0.00% optimize.opt_a.merge_forward : 0.000029s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% optimize.opt_a.offload_activation : 0.000052s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000095s : 0.01% 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 : 0.00% optimize.opt_a.meta_fg_expand : 0.000023s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000008s : 0.00% optimize.opt_a.receive_attached : 0.000014s : 0.00% optimize.opt_a.after_resolve : 0.000050s : 0.00% optimize.opt_a.a_after_grad : 0.000069s : 0.01% optimize.opt_a.renormalize : 0.002226s : 0.20% optimize.opt_a.add_forward_monad_depend : 0.000012s : 0.00% optimize.opt_a.auto_monad_grad : 0.000005s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000085s : 0.01% optimize.opt_a.cse : 0.000195s : 0.02% optimize.opt_a.a_3 : 0.000548s : 0.05% optimize.py_interpret_to_execute_after_opt_a : 0.000036s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000005s : 0.00% optimize.rewriter_after_opt_a : 0.000429s : 0.04% optimize.convert_after_rewriter : 0.000041s : 0.00% optimize.order_py_execute_after_rewriter : 0.000018s : 0.00% optimize.mutable_eliminate : 0.000811s : 0.07% optimize.opt_b.b_1 : 0.000707s : 0.06% optimize.opt_b.b_2 : 0.000025s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000021s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000012s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000013s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000088s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000052s : 0.00% optimize.overlap_param_gather : 0.000006s : 0.00% optimize.cconv : 0.000049s : 0.00% optimize.loop_unroll : 0.000602s : 0.05% optimize.opt_after_cconv.c_1 : 0.000128s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000020s : 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 : 0.000076s : 0.01% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000122s : 0.01% optimize.tuple_transform.d_1 : 0.000157s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000003s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000022s : 0.00% optimize.partial_unused_args_eliminate : 0.000005s : 0.00% optimize.add_recomputation : 0.000173s : 0.02% optimize.cse_after_recomputation.cse : 0.000055s : 0.00% optimize.environ_conv : 0.000032s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000025s : 0.00% optimize.bias_add_comm_swap : 0.000007s : 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 : 0.000004s : 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 : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000005s : 0.00% optimize.control_data_broadcast_order : 0.000046s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000005s : 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 : 0.000005s : 0.00% optimize.overlap_recompute_comm : 0.000006s : 0.00% optimize.overlap_grad_ring_attention : 0.000014s : 0.00% optimize.overlap_grad_flash_sp : 0.000068s : 0.01% optimize.begin_end_overlap_inline : 0.000003s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000005s : 0.00% optimize.split_layernorm_comm : 0.000005s : 0.00% optimize.handle_group_info : 0.000004s : 0.00% optimize.symbol_engine_optimizer.build : 0.000034s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000027s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000043s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000021s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000039s : 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 : 0.000135s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000872s : 0.08% validate : 0.000132s : 0.01% Time group info: ------[substitution.] 0.000611 208 1.51% : 0.000009s : 2: substitution.ad_related_special_op_eliminate 15.46% : 0.000094s : 17: substitution.arithmetic_simplify 4.61% : 0.000028s : 15: substitution.depend_value_elim 1.14% : 0.000007s : 19: substitution.elim_not_effective 1.17% : 0.000007s : 19: substitution.fold_const_symbol 2.69% : 0.000016s : 20: substitution.graph_param_transform 53.73% : 0.000328s : 14: substitution.inline 2.78% : 0.000017s : 38: substitution.j_node_and_user_rematch 7.72% : 0.000047s : 6: substitution.less_batch_normalization 1.80% : 0.000011s : 12: substitution.redundant_stop_gradient_eliminater 3.88% : 0.000024s : 38: substitution.remove_not_recompute_node 0.41% : 0.000002s : 2: substitution.replace_applicator 0.96% : 0.000006s : 2: substitution.replace_old_param 0.76% : 0.000005s : 2: substitution.set_cell_output_no_recompute 1.38% : 0.000008s : 2: substitution.specialize_transform ------[type_inference.] 1.042343 2 99.82% : 1.040505s : 1: type_inference.infer 0.18% : 0.001838s : 1: type_inference.specialize ------[replace.] 0.000121 12 29.10% : 0.000035s : 2: replace.ad_related_special_op_eliminate 70.90% : 0.000086s : 10: replace.inline ------[match.] 0.000326 12 2.43% : 0.000008s : 2: match.ad_related_special_op_eliminate 97.57% : 0.000318s : 10: match.inline ------[predicate.] 0.000898 5958 0.91% : 0.000008s : 58: predicate.accumulaten_eliminater 1.13% : 0.000010s : 40: predicate.ad_related_special_op_eliminate 1.93% : 0.000017s : 66: predicate.addn_check_dump 0.86% : 0.000008s : 58: predicate.addn_zero_filter 0.89% : 0.000008s : 58: predicate.adjust_all_reduce_mul_add 2.84% : 0.000026s : 118: predicate.arithmetic_simplify 0.90% : 0.000008s : 58: predicate.cast_eliminate 0.67% : 0.000006s : 40: predicate.check_bprop_eliminate 1.05% : 0.000009s : 66: predicate.compare_switch_simplify 0.16% : 0.000001s : 20: predicate.const_output_eliminate 1.11% : 0.000010s : 60: predicate.depend_value_elim 0.93% : 0.000008s : 58: predicate.dict_get_item_const_eliminator 0.95% : 0.000009s : 58: predicate.dict_get_item_eliminator 0.89% : 0.000008s : 58: predicate.dict_set_item_eliminator 1.10% : 0.000010s : 58: predicate.dumpgradient_eliminate 0.19% : 0.000002s : 20: predicate.elim_not_effective 0.37% : 0.000003s : 20: predicate.elim_shapecalc_of_broadcastargs 1.23% : 0.000011s : 78: predicate.environ_add_const_eliminate 1.17% : 0.000011s : 78: predicate.environ_get_add_eliminate 1.20% : 0.000011s : 78: predicate.environ_get_depend_swap 2.24% : 0.000020s : 138: predicate.environ_get_eliminate 1.17% : 0.000011s : 78: predicate.environ_get_set_eliminate 0.99% : 0.000009s : 66: predicate.exchange_switch_depend_value 1.31% : 0.000012s : 66: predicate.float_depend_g_call 1.14% : 0.000010s : 66: predicate.float_environ_get_switch 1.89% : 0.000017s : 86: predicate.float_tuple_getitem_switch 0.15% : 0.000001s : 20: predicate.fold_const_symbol 0.69% : 0.000006s : 40: predicate.get_grad_eliminate 0.18% : 0.000002s : 20: predicate.graph_param_transform 1.00% : 0.000009s : 60: predicate.incorporate_call 0.94% : 0.000008s : 60: predicate.incorporate_call_switch 5.71% : 0.000051s : 268: predicate.inline 0.83% : 0.000007s : 40: predicate.inline_without_move 0.33% : 0.000003s : 40: predicate.j_node_and_user_rematch 0.79% : 0.000007s : 40: predicate.less_batch_normalization 1.56% : 0.000014s : 98: predicate.list_to_tuple_eliminator_ 2.33% : 0.000021s : 156: predicate.load_eliminater 0.64% : 0.000006s : 20: predicate.loop_unroll_after_grad 1.31% : 0.000012s : 84: predicate.loop_unroll_before_grad 1.64% : 0.000015s : 98: predicate.make_slice_get_slice_eliminator 1.10% : 0.000010s : 66: predicate.merge_addn 0.73% : 0.000007s : 40: predicate.micro_step_allgather_replace 0.66% : 0.000006s : 40: predicate.mini_step_allgather_replace 0.84% : 0.000008s : 58: predicate.minmaximum_grad 0.72% : 0.000006s : 20: predicate.mutable_eliminate 0.32% : 0.000003s : 20: predicate.opt_reshape 0.34% : 0.000003s : 20: predicate.parallel_virtual_node 1.21% : 0.000011s : 66: predicate.partial_defer_inline 1.28% : 0.000011s : 78: predicate.partial_eliminate 0.84% : 0.000008s : 58: predicate.print_const_string_wrapper 0.99% : 0.000009s : 60: predicate.reduce_all_const_elim 1.05% : 0.000009s : 58: predicate.reduce_eliminate 2.41% : 0.000022s : 156: predicate.redundant_stop_gradient_eliminater 0.39% : 0.000003s : 40: predicate.remove_not_recompute_node 1.02% : 0.000009s : 98: predicate.replace_applicator 0.38% : 0.000003s : 40: predicate.replace_old_param 0.19% : 0.000002s : 20: predicate.reset_defer_inline 0.89% : 0.000008s : 58: predicate.reshape_eliminate 0.72% : 0.000006s : 40: predicate.row_tensor_add_zeros_like 0.36% : 0.000003s : 20: predicate.row_tensor_eliminate 0.75% : 0.000007s : 40: predicate.same_eliminate 0.43% : 0.000004s : 46: predicate.set_cell_output_no_recompute 0.72% : 0.000006s : 40: predicate.shard_identity_eliminate 0.98% : 0.000009s : 58: predicate.special_op_eliminate 1.26% : 0.000011s : 66: predicate.specialize_transform 0.78% : 0.000007s : 40: predicate.split_environ_get_set_with_tuple_value 0.77% : 0.000007s : 40: predicate.stack_unstack_eliminate 0.36% : 0.000003s : 20: predicate.switch_call_monad_eliminater 1.07% : 0.000010s : 66: predicate.switch_defer_inline 1.71% : 0.000015s : 106: predicate.switch_layer_defer_inline 3.84% : 0.000035s : 236: predicate.switch_simplify 0.88% : 0.000008s : 58: predicate.tile_eliminate 0.89% : 0.000008s : 58: predicate.transpose_eliminate 1.60% : 0.000014s : 98: predicate.tuple_list_convert_item_index_to_positive 1.55% : 0.000014s : 98: predicate.tuple_list_get_item_const_eliminator 1.54% : 0.000014s : 98: predicate.tuple_list_get_item_depend_reorder 2.82% : 0.000025s : 158: predicate.tuple_list_get_item_eliminator 1.59% : 0.000014s : 98: predicate.tuple_list_get_set_item_eliminator 2.67% : 0.000024s : 158: predicate.tuple_list_set_item_eliminator 1.63% : 0.000015s : 98: predicate.tuple_to_list_eliminator_ 2.24% : 0.000020s : 156: predicate.updatestate_pure_node_eliminater 3.36% : 0.000030s : 216: predicate.updatestate_useless_node_eliminater 0.34% : 0.000003s : 20: predicate.value_based_eliminate 0.69% : 0.000006s : 40: predicate.virtual_dataset_eliminate 0.65% : 0.000006s : 40: predicate.virtual_output_eliminate 0.66% : 0.000006s : 38: predicate.virtual_view_grad_eliminate 0.43% : 0.000004s : 20: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.001295 18 43.51% : 0.000563s : 6: func_graph_cloner_run.FuncGraphClonerGraph 56.49% : 0.000731s : 12: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.952810 210 0.00% : 0.000006s : 1: ForceFp32Comm 16.16% : 0.315482s : 1: add_attr 16.15% : 0.315462s : 1: add_attr_with_inline 0.00% : 0.000007s : 1: add_comm_op_reuse_tag 0.01% : 0.000177s : 1: add_recomputation 0.00% : 0.000007s : 1: assign_add_opt 0.01% : 0.000171s : 1: auto_monad 0.01% : 0.000146s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: begin_end_overlap_inline 0.00% : 0.000011s : 1: bias_add_comm_swap 0.05% : 0.000942s : 1: bootstrap 0.00% : 0.000053s : 1: cconv 0.00% : 0.000007s : 1: comm_op_add_attrs 0.00% : 0.000049s : 1: control_data_broadcast_order 0.00% : 0.000046s : 1: convert_after_rewriter 0.00% : 0.000077s : 1: cse_after_recomputation 0.00% : 0.000008s : 1: dataset_repeat_opt 0.00% : 0.000036s : 1: detach_backward 0.00% : 0.000035s : 1: environ_conv 0.01% : 0.000103s : 1: event_method 0.00% : 0.000008s : 1: full_micro_interleaved_order_control 0.00% : 0.000010s : 1: get_jit_bprop_graph 0.00% : 0.000015s : 1: graph_reusing 0.00% : 0.000008s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000007s : 1: handle_group_info 0.00% : 0.000010s : 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% : 0.000009s : 1: label_fine_grained_interleaved_index 0.00% : 0.000012s : 1: label_micro_interleaved_index 0.03% : 0.000608s : 1: loop_unroll 0.00% : 0.000007s : 1: merge_cast_opt 0.00% : 0.000009s : 1: micro_interleaved_order_control 0.04% : 0.000818s : 1: mutable_eliminate 0.00% : 0.000017s : 1: offloading_packed_experts 0.00% : 0.000034s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000036s : 1: opt.transform.mutable_eliminate 4.33% : 0.084646s : 95: opt.transform.opt_a 0.01% : 0.000127s : 1: opt.transform.opt_after_cconv 0.01% : 0.000199s : 2: opt.transform.opt_after_jit_grad 0.03% : 0.000650s : 28: opt.transform.opt_b 0.01% : 0.000177s : 2: opt.transform.opt_trans_graph 0.01% : 0.000127s : 4: opt.transform.symbol_engine_opt 4.56% : 0.089093s : 1: opt_a 0.02% : 0.000326s : 1: opt_after_cconv 0.05% : 0.000884s : 1: opt_after_jit_grad 0.05% : 0.000948s : 1: opt_b 4.85% : 0.094721s : 1: optimize 0.00% : 0.000056s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000022s : 1: order_py_execute_after_rewriter 0.00% : 0.000071s : 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% : 0.000029s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000009s : 1: overlap_param_gather 0.00% : 0.000008s : 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% : 0.000011s : 1: parallel-infer-symbol 0.00% : 0.000006s : 1: parallel-infer-symbol-second 0.00% : 0.000008s : 1: partial_unused_args_eliminate 0.00% : 0.000040s : 1: pipeline_parallel_scheduler 0.00% : 0.000008s : 1: pipeline_split 0.00% : 0.000089s : 1: pre_auto_parallel 0.00% : 0.000051s : 1: py_interpret_to_execute 0.00% : 0.000040s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000007s : 1: remove_cast_before_assign_add 0.01% : 0.000126s : 1: remove_dup_value 0.06% : 0.001214s : 1: renormalize.infer 0.05% : 0.000999s : 1: renormalize.specialize 0.00% : 0.000009s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000434s : 1: rewriter_after_opt_a 0.01% : 0.000173s : 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 0.01% : 0.000225s : 1: symbol_engine_optimizer 0.01% : 0.000224s : 1: tuple_transform 53.38% : 1.042467s : 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 117.77s (0:01:57) ================== [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.735.316 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:534] Dump] MemoryTracker Dump start, task num: 28, mem block num: 17, user task num: 15 [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.735.393 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:139] RaceCheck] Begin race check [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.735.707 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:183] RaceCheck] End race check [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.735.756 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:195] Dump] Dump graph to file: ./tracker_graph.ir [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.018 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 14% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.070 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 21% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.132 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 28% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.186 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 35% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.237 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 42% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.270 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 50% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.291 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 57% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.313 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 64% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.343 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 71% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.377 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 78% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.417 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 85% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.453 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 92% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.491 [mindspore/ccsrc/runtime/memory/mem_pool/tracker_graph.cc:206] Dump] TrackerGraph Dump progress: 100% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.716 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:551] DumpMemoryBlock] memory block csv path : ./memory_block.csv. [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.832 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 17% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.860 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 23% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.891 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 29% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.917 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 35% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.936 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 41% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.952 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 47% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.972 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 52% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.736.988 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 58% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.004 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 64% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.021 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 70% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.037 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 76% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.052 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 82% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.068 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 88% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.083 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 94% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.111 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 100% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.137 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:578] DumpMemoryBlock] MemoryTracker MemBlock Dump progress: 105% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.219 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:594] DumpTaskFile] task csv path: ./task.csv. [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.334 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 14% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.363 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 21% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.389 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 28% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.416 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 35% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.458 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 42% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.473 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 50% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.486 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 57% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.498 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 64% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.510 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 71% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.522 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 78% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.535 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 85% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.547 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 92% [WARNING] PRE_ACT(181124,ffffa5581f30,python3.9):2026-01-29-17:38:59.737.581 [mindspore/ccsrc/runtime/memory/mem_pool/mem_tracker.cc:614] DumpTaskFile] MemoryTracker Task Dump progress: 100% . [hook] pytest_runtest_teardown:test_single_withstream_multi_event tests/st/runtime/multi_core_multi_stream/test_with_stream_event.py::test_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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_single_withstream_multi_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 428.39s (0:07:08) ==================