==================================================Ascend ============================= test session starts ============================== platform linux -- Python 3.9.19, pytest-6.2.5, py-1.11.0, pluggy-1.5.0 rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st/compiler/stream_event, configfile: ../../../../../../../sault/virtual_test/virtualenv_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.py [WARNING] ME(165497:281472878530352,MainProcess):2026-01-29-17:37:11.624.281 [mindspore/context.py:1334] For 'context.set_context', the parameter 'save_graphs' will be deprecated and removed in a future version. Please use the env MS_DEV_SAVE_GRAPHS instead. [WARNING] ME(165497:281472878530352,MainProcess):2026-01-29-17:37:11.624.851 [mindspore/context.py:1334] For 'context.set_context', the parameter 'save_graphs_path' will be deprecated and removed in a future version. Please use the env MS_DEV_SAVE_GRAPHS_PATH instead. TotalTime = 0.180162, [21] [bootstrap]: 0.00052764 [type_inference]: 0.0416141 [event_method]: 2.787e-05 [auto_monad]: 0.00040489 [graph_reusing]: 8.17998e-06 [inline]: 3.14999e-06 [add_attr]: 0.0106715, [1] [add_attr_with_inline]: 0.0106557, [1] [Cycle 1]: 0.00017094, [2] [tag_attr]: 5.862e-05 [meta_addattr_fg_expand]: 1.674e-05 [parallel-infer-symbol]: 4.13999e-06 [pre_auto_parallel]: 6.605e-05 [insert-virtual-dataset]: 2.21e-06 [parallel-infer-symbol-second]: 8.00006e-07 [dataset_repeat_opt]: 1.84e-06 [pipeline_split]: 1.62999e-06 [optimize]: 0.124384, [53] [py_interpret_to_execute]: 6.205e-05 [rewriter_before_opt_a]: 0.00018078 [opt_a]: 0.115752, [4] [Cycle 1]: 0.0953224, [86] [expand_dump_flag]: 4.76002e-06 [switch_simplify]: 7.341e-05 [loop_unroll]: 6.09e-05 [a_1]: 0.00243137 [with_stream_mark]: 5.023e-05 [recompute_prepare]: 5.059e-05 [updatestate_depend_eliminate]: 0.00010816 [updatestate_assign_eliminate]: 2.113e-05 [updatestate_loads_eliminate]: 6.781e-05 [parameter_eliminate]: 3.50998e-06 [a_2]: 0.0004257 [accelerated_algorithm]: 2.989e-05 [shard]: 4.08999e-06 [meta_shard_fg_expand]: 6.91001e-06 [shard_inline]: 2.283e-05 [merge_send_recv]: 2.36e-05 [auto_parallel]: 2.361e-05 [parallel]: 6.423e-05 [flash_sp]: 2.773e-05 [merge_comm]: 1.543e-05 [allreduce_fusion]: 1.294e-05 [matmul_add_comm_reduction]: 3.693e-05 [allreduce_slice_to_reducescatter]: 8.79983e-07 [virtual_shard_identity]: 3.533e-05 [virtual_dataset]: 2.904e-05 [get_grad_eliminate_]: 2.779e-05 [virtual_output]: 2.345e-05 [merge_forward]: 1.698e-05 [cell_reuse_recompute_pass]: 2.91999e-06 [offload_activation]: 2.976e-05 [cell_reuse_handle_not_recompute_node_pass]: 6.76e-05 [merge_recompute_call_nodes]: 1.83002e-06 [before_grad]: 4.41e-05 [meta_morphosis]: 0.00243271 [meta_morphosis_renormalize]: 0.0692676 [meta_morphosis_event_method]: 0.00030933 [meta_morphosis_auto_monad_grad]: 0.00051588 [expand_dump_flag]: 6.09001e-06 [switch_simplify]: 0.00030149 [loop_unroll]: 0.000154 [a_1]: 0.00634377 [with_stream_mark]: 0.00062901 [recompute_prepare]: 0.00012912 [updatestate_depend_eliminate]: 4.463e-05 [updatestate_assign_eliminate]: 3.406e-05 [updatestate_loads_eliminate]: 3.744e-05 [parameter_eliminate]: 7.95e-06 [a_2]: 0.0020999 [accelerated_algorithm]: 0.00014404 [shard]: 3.41999e-06 [meta_shard_fg_expand]: 2.018e-05 [shard_inline]: 5.192e-05 [merge_send_recv]: 4.4e-05 [auto_parallel]: 4.198e-05 [parallel]: 1.21e-05 [flash_sp]: 8.97999e-06 [merge_comm]: 3.389e-05 [allreduce_fusion]: 3.194e-05 [matmul_add_comm_reduction]: 4.79e-05 [allreduce_slice_to_reducescatter]: 7.7e-07 [virtual_shard_identity]: 6.102e-05 [virtual_dataset]: 5.479e-05 [get_grad_eliminate_]: 5.487e-05 [virtual_output]: 8.132e-05 [merge_forward]: 4.581e-05 [cell_reuse_recompute_pass]: 3.27997e-06 [offload_activation]: 5.475e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00013227 [merge_recompute_call_nodes]: 1.89e-06 [before_grad]: 0.00010848 [meta_morphosis]: 5.735e-05 [meta_morphosis_renormalize]: 3.10014e-07 [meta_morphosis_event_method]: 6.872e-05 [meta_morphosis_auto_monad_grad]: 1.245e-05 [set_forward_comm_id_for_comm_node_pass]: 4.013e-05 [meta_fg_expand]: 2.72e-05 [flash_sp_send_recv_attached]: 6.15002e-06 [receive_attached]: 3.06999e-06 [after_resolve]: 7.63e-05 [a_after_grad]: 9.666e-05 [renormalize]: 0.00551069 [add_forward_monad_depend]: 1.345e-05 [auto_monad_grad]: 3.6e-06 [auto_monad_eliminator]: 0.00018066 [cse]: 0.00024908 [a_3]: 0.0003397 [Cycle 2]: 0.00763405, [49] [expand_dump_flag]: 3.56001e-06 [switch_simplify]: 4.58e-05 [loop_unroll]: 4.131e-05 [a_1]: 0.00140526 [with_stream_mark]: 6.359e-05 [recompute_prepare]: 5.292e-05 [updatestate_depend_eliminate]: 3.8e-05 [updatestate_assign_eliminate]: 2.669e-05 [updatestate_loads_eliminate]: 2.978e-05 [parameter_eliminate]: 2.86999e-06 [a_2]: 0.00144457 [accelerated_algorithm]: 5.439e-05 [shard]: 2.90002e-06 [meta_shard_fg_expand]: 1.22e-05 [shard_inline]: 3.88e-05 [merge_send_recv]: 4.323e-05 [auto_parallel]: 3.299e-05 [parallel]: 1.223e-05 [flash_sp]: 2.34999e-06 [merge_comm]: 2.675e-05 [allreduce_fusion]: 2.512e-05 [matmul_add_comm_reduction]: 4.059e-05 [allreduce_slice_to_reducescatter]: 8.10018e-07 [virtual_shard_identity]: 4.524e-05 [virtual_dataset]: 3.854e-05 [get_grad_eliminate_]: 3.629e-05 [virtual_output]: 3.739e-05 [merge_forward]: 2.646e-05 [cell_reuse_recompute_pass]: 4.53001e-06 [offload_activation]: 4.514e-05 [cell_reuse_handle_not_recompute_node_pass]: 9.001e-05 [merge_recompute_call_nodes]: 2.04999e-06 [before_grad]: 7.241e-05 [meta_morphosis]: 4.322e-05 [meta_morphosis_renormalize]: 3.30008e-07 [meta_morphosis_event_method]: 4.601e-05 [meta_morphosis_auto_monad_grad]: 7.95e-06 [set_forward_comm_id_for_comm_node_pass]: 2.894e-05 [meta_fg_expand]: 1.852e-05 [flash_sp_send_recv_attached]: 2.99001e-06 [receive_attached]: 2.81e-06 [after_resolve]: 4.963e-05 [a_after_grad]: 8.609e-05 [renormalize]: 0.00229102 [add_forward_monad_depend]: 1.172e-05 [auto_monad_grad]: 3.13e-06 [auto_monad_eliminator]: 0.00010706 [cse]: 0.00021354 [a_3]: 0.00029601 [Cycle 3]: 0.00837015, [49] [expand_dump_flag]: 2.74001e-06 [switch_simplify]: 4.09e-05 [loop_unroll]: 3.665e-05 [a_1]: 0.00151334 [with_stream_mark]: 6.123e-05 [recompute_prepare]: 5.486e-05 [updatestate_depend_eliminate]: 2.968e-05 [updatestate_assign_eliminate]: 2.498e-05 [updatestate_loads_eliminate]: 0.00011764 [parameter_eliminate]: 3.33e-06 [a_2]: 0.00159795 [accelerated_algorithm]: 6.836e-05 [shard]: 2.69001e-06 [meta_shard_fg_expand]: 1.495e-05 [shard_inline]: 4.318e-05 [merge_send_recv]: 8.961e-05 [auto_parallel]: 3.859e-05 [parallel]: 1.323e-05 [flash_sp]: 3.09999e-06 [merge_comm]: 2.824e-05 [allreduce_fusion]: 2.556e-05 [matmul_add_comm_reduction]: 4.624e-05 [allreduce_slice_to_reducescatter]: 9.49978e-07 [virtual_shard_identity]: 5.544e-05 [virtual_dataset]: 4.941e-05 [get_grad_eliminate_]: 4.677e-05 [virtual_output]: 4.675e-05 [merge_forward]: 3.443e-05 [cell_reuse_recompute_pass]: 4.56002e-06 [offload_activation]: 5.145e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00011209 [merge_recompute_call_nodes]: 2.09999e-06 [before_grad]: 8.724e-05 [meta_morphosis]: 4.822e-05 [meta_morphosis_renormalize]: 2.09984e-07 [meta_morphosis_event_method]: 8.179e-05 [meta_morphosis_auto_monad_grad]: 8.70001e-06 [set_forward_comm_id_for_comm_node_pass]: 3.117e-05 [meta_fg_expand]: 2.024e-05 [flash_sp_send_recv_attached]: 2.89001e-06 [receive_attached]: 2.70002e-06 [after_resolve]: 6.533e-05 [a_after_grad]: 8.008e-05 [renormalize]: 0.00235066 [add_forward_monad_depend]: 1.219e-05 [auto_monad_grad]: 2.96999e-06 [auto_monad_eliminator]: 0.0001058 [cse]: 0.00021296 [a_3]: 0.00031527 [Cycle 4]: 0.00438964, [49] [expand_dump_flag]: 2.99001e-06 [switch_simplify]: 4.186e-05 [loop_unroll]: 3.463e-05 [a_1]: 0.00121501 [with_stream_mark]: 5.87e-05 [recompute_prepare]: 4.373e-05 [updatestate_depend_eliminate]: 2.772e-05 [updatestate_assign_eliminate]: 2.524e-05 [updatestate_loads_eliminate]: 2.98e-05 [parameter_eliminate]: 3.20998e-06 [a_2]: 0.0006636 [accelerated_algorithm]: 5.165e-05 [shard]: 2.66e-06 [meta_shard_fg_expand]: 1.119e-05 [shard_inline]: 3.776e-05 [merge_send_recv]: 4.377e-05 [auto_parallel]: 3.39e-05 [parallel]: 1.043e-05 [flash_sp]: 1.62999e-06 [merge_comm]: 2.731e-05 [allreduce_fusion]: 2.446e-05 [matmul_add_comm_reduction]: 4.17e-05 [allreduce_slice_to_reducescatter]: 1.04e-06 [virtual_shard_identity]: 4.8e-05 [virtual_dataset]: 4.115e-05 [get_grad_eliminate_]: 3.991e-05 [virtual_output]: 3.856e-05 [merge_forward]: 3.813e-05 [cell_reuse_recompute_pass]: 3.75998e-06 [offload_activation]: 4.84e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.0001018 [merge_recompute_call_nodes]: 1.72001e-06 [before_grad]: 8.639e-05 [meta_morphosis]: 4.314e-05 [meta_morphosis_renormalize]: 1.8999e-07 [meta_morphosis_event_method]: 6.72e-05 [meta_morphosis_auto_monad_grad]: 7.43999e-06 [set_forward_comm_id_for_comm_node_pass]: 3.12e-05 [meta_fg_expand]: 1.816e-05 [flash_sp_send_recv_attached]: 2.96999e-06 [receive_attached]: 2.84999e-06 [after_resolve]: 5.92e-05 [a_after_grad]: 7.469e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 3.47002e-06 [auto_monad_grad]: 1.20001e-06 [auto_monad_eliminator]: 0.00011384 [cse]: 0.00017284 [a_3]: 0.00029467 [py_interpret_to_execute_after_opt_a]: 6.074e-05 [slice_cell_reuse_recomputed_activation]: 5.65001e-06 [rewriter_after_opt_a]: 0.00157106 [convert_after_rewriter]: 5.839e-05 [order_py_execute_after_rewriter]: 2.939e-05 [mutable_eliminate]: 0.00097212 [opt_b]: 0.00170743, [1] [Cycle 1]: 0.00168781, [7] [b_1]: 0.00112076 [b_2]: 5.291e-05 [updatestate_depend_eliminate]: 0.00010487 [updatestate_assign_eliminate]: 3.299e-05 [updatestate_loads_eliminate]: 3.362e-05 [renormalize]: 1.67001e-06 [cse]: 0.00020572 [optimize_parallel_all_gather_comm]: 7.901e-05 [overlap_param_gather]: 1.309e-05 [cconv]: 5.94e-05 [loop_unroll]: 0.00085095 [opt_after_cconv]: 0.00067051, [1] [Cycle 1]: 0.00065389, [7] [c_1]: 0.00027316 [parameter_eliminate]: 6.68e-06 [updatestate_depend_eliminate]: 6.936e-05 [updatestate_assign_eliminate]: 2.554e-05 [updatestate_loads_eliminate]: 2.989e-05 [cse]: 0.00016705 [renormalize]: 7.39994e-07 [remove_dup_value]: 0.00018572 [tuple_transform]: 0.00043224, [1] [Cycle 1]: 0.00042076, [4] [d_1]: 0.00033069 [none_parameter_eliminate]: 3.75998e-06 [renormalize]: 2.3999e-07 [switch_simplify]: 3.873e-05 [partial_unused_args_eliminate]: 5.71003e-06 [add_recomputation]: 0.00032588 [cse_after_recomputation]: 0.00017424, [1] [Cycle 1]: 0.00016133, [1] [cse]: 0.00014069 [environ_conv]: 4.799e-05 [swap_dp_allreduce_reducescatter]: 3.647e-05 [bias_add_comm_swap]: 7.31999e-06 [label_micro_interleaved_index]: 1.308e-05 [label_fine_grained_interleaved_index]: 5.64e-06 [merge_cast_opt]: 4.40999e-06 [slice_recompute_activation]: 5.46002e-06 [micro_interleaved_order_control]: 5.30001e-06 [assign_add_opt]: 4.13999e-06 [ForceFp32Comm]: 4.20999e-06 [remove_cast_before_assign_add]: 4.2e-06 [full_micro_interleaved_order_control]: 5.00999e-06 [reorder_send_recv_between_fp_bp]: 5.34e-06 [comm_op_add_attrs]: 4.13001e-06 [add_comm_op_reuse_tag]: 4.05e-06 [interleave_split_concat_branches]: 4.18001e-06 [interleave_parallel_branches]: 3.91999e-06 [overlap_opt_shard_in_pipeline]: 3.21e-05 [overlap_opt_shard_grad_in_pipeline]: 4.36002e-06 [control_data_broadcast_order]: 7.006e-05 [grouped_pairwise_exchange_alltoall]: 4.53999e-06 [offloading_packed_experts]: 1.854e-05 [overlap_recompute_and_grad_model_parallel]: 1.925e-05 [overlap_grad_matmul_and_grad_allreduce]: 4.87998e-06 [overlap_recompute_allgather_and_fa_grad]: 4.03999e-06 [overlap_recompute_comm]: 5.91003e-06 [overlap_grad_ring_attention]: 1.961e-05 [overlap_grad_flash_sp]: 0.00011262 [begin_end_overlap_inline]: 4.18999e-06 [split_matmul_comm_elemetwise]: 5.70001e-06 [split_layernorm_comm]: 4.74998e-06 [handle_group_info]: 4.33999e-06 [symbol_engine_optimizer]: 0.00038992, [1] [Cycle 1]: 0.00037792, [6] [build]: 2.219e-05 [elim_shapecalc]: 6.65e-05 [elim_not_effective]: 0.00010829 [opt_reshape]: 4.473e-05 [fold_const_symbol]: 6.407e-05 [renormalize]: 8.59989e-07 [detach_backward]: 5.85002e-06 [pipeline_parallel_scheduler]: 1.91998e-06 [auto_monad_reorder]: 0.00013697 [get_jit_bprop_graph]: 2.37999e-06 [rewriter_after_jit_bprop_graph]: 6.77002e-06 [opt_after_jit_grad]: 0.00095404 [validate]: 0.00021778 Sums bootstrap : 0.000528s : 0.32% type_inference : 0.041614s : 25.32% event_method : 0.000028s : 0.02% auto_monad : 0.000405s : 0.25% graph_reusing : 0.000008s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000059s : 0.04% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000017s : 0.01% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000066s : 0.04% insert-virtual-dataset : 0.000002s : 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 : 0.000062s : 0.04% optimize.rewriter_before_opt_a : 0.000181s : 0.11% optimize.opt_a.expand_dump_flag : 0.000014s : 0.01% optimize.opt_a.switch_simplify : 0.000202s : 0.12% optimize.opt_a.loop_unroll : 0.000173s : 0.11% optimize.opt_a.a_1 : 0.006565s : 3.99% optimize.opt_a.with_stream_mark : 0.000234s : 0.14% optimize.opt_a.recompute_prepare : 0.000202s : 0.12% optimize.opt_a.updatestate_depend_eliminate : 0.000204s : 0.12% optimize.opt_a.updatestate_assign_eliminate : 0.000098s : 0.06% optimize.opt_a.updatestate_loads_eliminate : 0.000245s : 0.15% optimize.opt_a.parameter_eliminate : 0.000013s : 0.01% optimize.opt_a.a_2 : 0.004132s : 2.51% optimize.opt_a.accelerated_algorithm : 0.000204s : 0.12% optimize.opt_a.shard : 0.000012s : 0.01% optimize.opt_a.meta_shard_fg_expand : 0.000045s : 0.03% optimize.opt_a.shard_inline : 0.000143s : 0.09% optimize.opt_a.merge_send_recv : 0.000200s : 0.12% optimize.opt_a.auto_parallel : 0.000129s : 0.08% optimize.opt_a.parallel : 0.000100s : 0.06% optimize.opt_a.flash_sp : 0.000035s : 0.02% optimize.opt_a.merge_comm : 0.000098s : 0.06% optimize.opt_a.allreduce_fusion : 0.000088s : 0.05% optimize.opt_a.matmul_add_comm_reduction : 0.000165s : 0.10% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000004s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000184s : 0.11% optimize.opt_a.virtual_dataset : 0.000158s : 0.10% optimize.opt_a.get_grad_eliminate_ : 0.000151s : 0.09% optimize.opt_a.virtual_output : 0.000146s : 0.09% optimize.opt_a.merge_forward : 0.000116s : 0.07% optimize.opt_a.cell_reuse_recompute_pass : 0.000016s : 0.01% optimize.opt_a.offload_activation : 0.000175s : 0.11% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000371s : 0.23% optimize.opt_a.merge_recompute_call_nodes : 0.000008s : 0.00% optimize.opt_a.before_grad : 0.000290s : 0.18% optimize.opt_a.meta_morphosis : 0.002567s : 1.56% optimize.opt_a.meta_morphosis_renormalize : 0.069268s : 42.15% optimize.opt_a.meta_morphosis_event_method : 0.000504s : 0.31% optimize.opt_a.meta_morphosis_auto_monad_grad : 0.000540s : 0.33% optimize.opt_a.expand_dump_flag : 0.000006s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000091s : 0.06% optimize.opt_a.meta_fg_expand : 0.000057s : 0.03% optimize.opt_a.switch_simplify : 0.000301s : 0.18% optimize.opt_a.flash_sp_send_recv_attached : 0.000009s : 0.01% optimize.opt_a.loop_unroll : 0.000154s : 0.09% optimize.opt_a.a_1 : 0.006344s : 3.86% optimize.opt_a.receive_attached : 0.000008s : 0.01% optimize.opt_a.after_resolve : 0.000174s : 0.11% optimize.opt_a.with_stream_mark : 0.000629s : 0.38% optimize.opt_a.a_after_grad : 0.000241s : 0.15% optimize.opt_a.recompute_prepare : 0.000129s : 0.08% optimize.opt_a.renormalize : 0.004642s : 2.82% optimize.opt_a.updatestate_depend_eliminate : 0.000045s : 0.03% optimize.opt_a.add_forward_monad_depend : 0.000027s : 0.02% optimize.opt_a.updatestate_assign_eliminate : 0.000034s : 0.02% optimize.opt_a.auto_monad_grad : 0.000007s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000037s : 0.02% optimize.opt_a.auto_monad_eliminator : 0.000327s : 0.20% optimize.opt_a.parameter_eliminate : 0.000008s : 0.00% optimize.opt_a.a_2 : 0.002100s : 1.28% optimize.opt_a.cse : 0.000599s : 0.36% optimize.opt_a.a_3 : 0.000906s : 0.55% optimize.opt_a.accelerated_algorithm : 0.000144s : 0.09% optimize.opt_a.shard : 0.000003s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000020s : 0.01% optimize.opt_a.shard_inline : 0.000052s : 0.03% optimize.opt_a.merge_send_recv : 0.000044s : 0.03% optimize.opt_a.auto_parallel : 0.000042s : 0.03% optimize.opt_a.parallel : 0.000012s : 0.01% optimize.opt_a.flash_sp : 0.000009s : 0.01% optimize.opt_a.merge_comm : 0.000034s : 0.02% optimize.opt_a.allreduce_fusion : 0.000032s : 0.02% optimize.opt_a.matmul_add_comm_reduction : 0.000048s : 0.03% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000001s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000061s : 0.04% optimize.opt_a.virtual_dataset : 0.000055s : 0.03% optimize.opt_a.get_grad_eliminate_ : 0.000055s : 0.03% optimize.opt_a.virtual_output : 0.000081s : 0.05% optimize.opt_a.merge_forward : 0.000046s : 0.03% optimize.opt_a.cell_reuse_recompute_pass : 0.000003s : 0.00% optimize.opt_a.offload_activation : 0.000055s : 0.03% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000132s : 0.08% optimize.opt_a.merge_recompute_call_nodes : 0.000002s : 0.00% optimize.opt_a.before_grad : 0.000108s : 0.07% optimize.opt_a.meta_morphosis : 0.000057s : 0.03% optimize.opt_a.meta_morphosis_renormalize : 0.000000s : 0.00% optimize.opt_a.meta_morphosis_event_method : 0.000069s : 0.04% optimize.opt_a.meta_morphosis_auto_monad_grad : 0.000012s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000040s : 0.02% optimize.opt_a.meta_fg_expand : 0.000027s : 0.02% optimize.opt_a.flash_sp_send_recv_attached : 0.000006s : 0.00% optimize.opt_a.receive_attached : 0.000003s : 0.00% optimize.opt_a.after_resolve : 0.000076s : 0.05% optimize.opt_a.a_after_grad : 0.000097s : 0.06% optimize.opt_a.renormalize : 0.005511s : 3.35% optimize.opt_a.add_forward_monad_depend : 0.000013s : 0.01% optimize.opt_a.auto_monad_grad : 0.000004s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000181s : 0.11% optimize.opt_a.cse : 0.000249s : 0.15% optimize.opt_a.a_3 : 0.000340s : 0.21% optimize.py_interpret_to_execute_after_opt_a : 0.000061s : 0.04% optimize.slice_cell_reuse_recomputed_activation : 0.000006s : 0.00% optimize.rewriter_after_opt_a : 0.001571s : 0.96% optimize.convert_after_rewriter : 0.000058s : 0.04% optimize.order_py_execute_after_rewriter : 0.000029s : 0.02% optimize.mutable_eliminate : 0.000972s : 0.59% optimize.opt_b.b_1 : 0.001121s : 0.68% optimize.opt_b.b_2 : 0.000053s : 0.03% optimize.opt_b.updatestate_depend_eliminate : 0.000105s : 0.06% optimize.opt_b.updatestate_assign_eliminate : 0.000033s : 0.02% optimize.opt_b.updatestate_loads_eliminate : 0.000034s : 0.02% optimize.opt_b.renormalize : 0.000002s : 0.00% optimize.opt_b.cse : 0.000206s : 0.13% optimize.optimize_parallel_all_gather_comm : 0.000079s : 0.05% optimize.overlap_param_gather : 0.000013s : 0.01% optimize.cconv : 0.000059s : 0.04% optimize.loop_unroll : 0.000851s : 0.52% optimize.opt_after_cconv.c_1 : 0.000273s : 0.17% optimize.opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000069s : 0.04% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000026s : 0.02% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000030s : 0.02% optimize.opt_after_cconv.cse : 0.000167s : 0.10% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000186s : 0.11% optimize.tuple_transform.d_1 : 0.000331s : 0.20% optimize.tuple_transform.none_parameter_eliminate : 0.000004s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000039s : 0.02% optimize.partial_unused_args_eliminate : 0.000006s : 0.00% optimize.add_recomputation : 0.000326s : 0.20% optimize.cse_after_recomputation.cse : 0.000141s : 0.09% optimize.environ_conv : 0.000048s : 0.03% optimize.swap_dp_allreduce_reducescatter : 0.000036s : 0.02% optimize.bias_add_comm_swap : 0.000007s : 0.00% optimize.label_micro_interleaved_index : 0.000013s : 0.01% 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 : 0.000005s : 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 : 0.000005s : 0.00% optimize.comm_op_add_attrs : 0.000004s : 0.00% optimize.add_comm_op_reuse_tag : 0.000004s : 0.00% optimize.interleave_split_concat_branches : 0.000004s : 0.00% optimize.interleave_parallel_branches : 0.000004s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000032s : 0.02% optimize.overlap_opt_shard_grad_in_pipeline : 0.000004s : 0.00% optimize.control_data_broadcast_order : 0.000070s : 0.04% optimize.grouped_pairwise_exchange_alltoall : 0.000005s : 0.00% optimize.offloading_packed_experts : 0.000019s : 0.01% optimize.overlap_recompute_and_grad_model_parallel : 0.000019s : 0.01% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000005s : 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 : 0.000020s : 0.01% optimize.overlap_grad_flash_sp : 0.000113s : 0.07% optimize.begin_end_overlap_inline : 0.000004s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000006s : 0.00% optimize.split_layernorm_comm : 0.000005s : 0.00% optimize.handle_group_info : 0.000004s : 0.00% optimize.symbol_engine_optimizer.build : 0.000022s : 0.01% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000067s : 0.04% optimize.symbol_engine_optimizer.elim_not_effective : 0.000108s : 0.07% optimize.symbol_engine_optimizer.opt_reshape : 0.000045s : 0.03% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000064s : 0.04% optimize.symbol_engine_optimizer.renormalize : 0.000001s : 0.00% detach_backward : 0.000006s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000137s : 0.08% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000954s : 0.58% validate : 0.000218s : 0.13% Time group info: ------[substitution.] 0.005329 854 11.61% : 0.000619s : 63: substitution.arithmetic_simplify 2.12% : 0.000113s : 89: substitution.depend_value_elim 0.21% : 0.000011s : 31: substitution.elim_not_effective 0.18% : 0.000010s : 31: substitution.fold_const_symbol 0.47% : 0.000025s : 34: substitution.graph_param_transform 34.15% : 0.001820s : 41: substitution.inline 1.21% : 0.000064s : 154: substitution.j_node_and_user_rematch 1.56% : 0.000083s : 10: substitution.less_batch_normalization 0.45% : 0.000024s : 30: substitution.load_eliminater 33.87% : 0.001805s : 1: substitution.meta_morphosis 0.14% : 0.000007s : 8: substitution.redundant_stop_gradient_eliminater 1.95% : 0.000104s : 154: substitution.remove_not_recompute_node 0.09% : 0.000005s : 4: substitution.replace_applicator 0.44% : 0.000024s : 12: substitution.replace_old_param 0.24% : 0.000013s : 4: substitution.set_cell_output_no_recompute 0.36% : 0.000019s : 4: substitution.specialize_transform 0.29% : 0.000016s : 2: substitution.switch_simplify 0.68% : 0.000036s : 8: substitution.tuple_list_convert_item_index_to_positive 0.54% : 0.000029s : 12: substitution.tuple_list_get_item_const_eliminator 1.80% : 0.000096s : 12: substitution.tuple_list_get_item_depend_reorder 1.41% : 0.000075s : 15: substitution.tuple_list_get_item_eliminator 0.69% : 0.000037s : 12: substitution.tuple_list_get_set_item_eliminator 1.49% : 0.000079s : 50: substitution.updatestate_pure_node_eliminater 4.06% : 0.000216s : 73: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.041515 2 96.42% : 0.040030s : 1: type_inference.infer 3.58% : 0.001485s : 1: type_inference.specialize ------[replace.] 0.001554 50 5.48% : 0.000085s : 5: replace.depend_value_elim 31.87% : 0.000495s : 33: replace.inline 25.91% : 0.000403s : 1: replace.meta_morphosis 3.96% : 0.000062s : 2: replace.switch_simplify 29.28% : 0.000455s : 4: replace.tuple_list_get_item_depend_reorder 1.85% : 0.000029s : 3: replace.tuple_list_get_item_eliminator 1.65% : 0.000026s : 2: replace.updatestate_pure_node_eliminater ------[match.] 0.003688 50 0.15% : 0.000006s : 5: match.depend_value_elim 48.28% : 0.001781s : 33: match.inline 48.83% : 0.001801s : 1: match.meta_morphosis 0.34% : 0.000013s : 2: match.switch_simplify 1.84% : 0.000068s : 4: match.tuple_list_get_item_depend_reorder 0.41% : 0.000015s : 3: match.tuple_list_get_item_eliminator 0.14% : 0.000005s : 2: match.updatestate_pure_node_eliminater ------[predicate.] 0.003615 22185 0.93% : 0.000034s : 235: predicate.accumulaten_eliminater 0.26% : 0.000009s : 34: predicate.ad_related_special_op_eliminate 1.26% : 0.000046s : 303: predicate.addn_check_dump 0.98% : 0.000036s : 235: predicate.addn_zero_filter 0.91% : 0.000033s : 235: predicate.adjust_all_reduce_mul_add 3.13% : 0.000113s : 526: predicate.arithmetic_simplify 0.94% : 0.000034s : 235: predicate.cast_eliminate 0.63% : 0.000023s : 146: predicate.check_bprop_eliminate 1.26% : 0.000045s : 303: predicate.compare_switch_simplify 0.08% : 0.000003s : 34: predicate.const_output_eliminate 1.48% : 0.000053s : 301: predicate.depend_value_elim 1.04% : 0.000038s : 235: predicate.dict_get_item_const_eliminator 1.04% : 0.000038s : 235: predicate.dict_get_item_eliminator 0.92% : 0.000033s : 235: predicate.dict_set_item_eliminator 0.35% : 0.000013s : 68: predicate.dumpgradient_eliminate 0.08% : 0.000003s : 34: predicate.elim_not_effective 0.18% : 0.000006s : 34: predicate.elim_shapecalc_of_broadcastargs 1.08% : 0.000039s : 269: predicate.environ_add_const_eliminate 1.04% : 0.000038s : 269: predicate.environ_get_add_eliminate 1.03% : 0.000037s : 269: predicate.environ_get_depend_swap 2.34% : 0.000085s : 560: predicate.environ_get_eliminate 1.07% : 0.000039s : 269: predicate.environ_get_set_eliminate 1.06% : 0.000038s : 273: predicate.exchange_switch_depend_value 1.81% : 0.000065s : 273: predicate.float_depend_g_call 1.24% : 0.000045s : 303: predicate.float_environ_get_switch 1.43% : 0.000052s : 337: predicate.float_tuple_getitem_switch 0.07% : 0.000002s : 34: predicate.fold_const_symbol 0.76% : 0.000027s : 169: predicate.get_grad_eliminate 0.09% : 0.000003s : 34: predicate.graph_param_transform 1.26% : 0.000045s : 291: predicate.incorporate_call 1.12% : 0.000041s : 291: predicate.incorporate_call_switch 6.72% : 0.000243s : 1045: predicate.inline 0.98% : 0.000035s : 151: predicate.inline_without_move 0.35% : 0.000013s : 169: predicate.j_node_and_user_rematch 0.92% : 0.000033s : 171: predicate.less_batch_normalization 1.28% : 0.000046s : 310: predicate.list_to_tuple_eliminator_ 2.15% : 0.000078s : 545: predicate.load_eliminater 0.31% : 0.000011s : 34: predicate.loop_unroll_after_grad 1.29% : 0.000046s : 313: predicate.loop_unroll_before_grad 1.28% : 0.000046s : 307: predicate.make_slice_get_slice_eliminator 1.28% : 0.000046s : 303: predicate.merge_addn 2.75% : 0.000099s : 275: predicate.meta_morphosis 0.60% : 0.000022s : 146: predicate.micro_step_allgather_replace 0.61% : 0.000022s : 146: predicate.mini_step_allgather_replace 0.87% : 0.000032s : 235: predicate.minmaximum_grad 0.40% : 0.000015s : 34: predicate.mutable_eliminate 0.17% : 0.000006s : 34: predicate.opt_reshape 0.16% : 0.000006s : 34: predicate.parallel_virtual_node 1.71% : 0.000062s : 273: predicate.partial_defer_inline 1.30% : 0.000047s : 276: predicate.partial_eliminate 0.99% : 0.000036s : 235: predicate.print_const_string_wrapper 1.20% : 0.000043s : 286: predicate.reduce_all_const_elim 1.16% : 0.000042s : 235: predicate.reduce_eliminate 2.16% : 0.000078s : 545: predicate.redundant_stop_gradient_eliminater 0.46% : 0.000017s : 169: predicate.remove_not_recompute_node 1.08% : 0.000039s : 388: predicate.replace_applicator 0.38% : 0.000014s : 151: predicate.replace_old_param 0.09% : 0.000003s : 34: predicate.reset_defer_inline 0.93% : 0.000033s : 235: predicate.reshape_eliminate 0.62% : 0.000022s : 146: predicate.row_tensor_add_zeros_like 0.18% : 0.000006s : 34: predicate.row_tensor_eliminate 0.74% : 0.000027s : 146: predicate.same_eliminate 0.54% : 0.000020s : 193: predicate.set_cell_output_no_recompute 0.83% : 0.000030s : 169: predicate.shard_identity_eliminate 0.31% : 0.000011s : 68: predicate.special_op_eliminate 1.63% : 0.000059s : 303: predicate.specialize_transform 0.75% : 0.000027s : 146: predicate.split_environ_get_set_with_tuple_value 0.75% : 0.000027s : 151: predicate.stack_unstack_eliminate 0.15% : 0.000006s : 34: predicate.switch_call_monad_eliminater 1.14% : 0.000041s : 273: predicate.switch_defer_inline 1.77% : 0.000064s : 419: predicate.switch_layer_defer_inline 4.11% : 0.000148s : 927: predicate.switch_simplify 0.93% : 0.000034s : 235: predicate.tile_eliminate 0.92% : 0.000033s : 235: predicate.transpose_eliminate 1.34% : 0.000048s : 303: predicate.tuple_list_convert_item_index_to_positive 1.36% : 0.000049s : 307: predicate.tuple_list_get_item_const_eliminator 1.30% : 0.000047s : 307: predicate.tuple_list_get_item_depend_reorder 3.03% : 0.000109s : 601: predicate.tuple_list_get_item_eliminator 1.31% : 0.000047s : 307: predicate.tuple_list_get_set_item_eliminator 2.74% : 0.000099s : 598: predicate.tuple_list_set_item_eliminator 1.25% : 0.000045s : 310: predicate.tuple_to_list_eliminator_ 2.16% : 0.000078s : 547: predicate.updatestate_pure_node_eliminater 3.64% : 0.000131s : 838: predicate.updatestate_useless_node_eliminater 0.17% : 0.000006s : 34: predicate.value_based_eliminate 0.80% : 0.000029s : 169: predicate.virtual_dataset_eliminate 0.75% : 0.000027s : 169: predicate.virtual_output_eliminate 0.14% : 0.000005s : 34: predicate.virtual_view_grad_eliminate 0.20% : 0.000007s : 34: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.006883 49 38.98% : 0.002683s : 11: func_graph_cloner_run.FuncGraphClonerGraph 3.93% : 0.000270s : 4: func_graph_cloner_run.FuncGraphClonerNode 57.09% : 0.003930s : 34: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.422576 361 0.00% : 0.000007s : 1: ForceFp32Comm 2.53% : 0.010685s : 1: add_attr 2.52% : 0.010660s : 1: add_attr_with_inline 0.00% : 0.000007s : 1: add_comm_op_reuse_tag 0.08% : 0.000336s : 1: add_recomputation 0.00% : 0.000007s : 1: assign_add_opt 0.10% : 0.000426s : 1: auto_monad 0.04% : 0.000148s : 1: auto_monad_reorder 0.00% : 0.000007s : 1: begin_end_overlap_inline 0.00% : 0.000010s : 1: bias_add_comm_swap 0.14% : 0.000604s : 1: bootstrap 0.02% : 0.000064s : 1: cconv 0.00% : 0.000007s : 1: comm_op_add_attrs 0.02% : 0.000074s : 1: control_data_broadcast_order 0.02% : 0.000067s : 1: convert_after_rewriter 0.04% : 0.000178s : 1: cse_after_recomputation 0.00% : 0.000008s : 1: dataset_repeat_opt 0.01% : 0.000040s : 1: detach_backward 0.01% : 0.000053s : 1: environ_conv 0.01% : 0.000040s : 1: event_method 0.00% : 0.000009s : 1: full_micro_interleaved_order_control 0.00% : 0.000010s : 1: get_jit_bprop_graph 0.00% : 0.000017s : 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% : 0.000010s : 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% : 0.000016s : 1: label_micro_interleaved_index 0.20% : 0.000860s : 1: loop_unroll 0.00% : 0.000007s : 1: merge_cast_opt 0.00% : 0.000008s : 1: micro_interleaved_order_control 0.23% : 0.000982s : 1: mutable_eliminate 0.01% : 0.000021s : 1: offloading_packed_experts 0.02% : 0.000072s : 1: opt.transform.loop_unroll_optimizer 0.02% : 0.000075s : 1: opt.transform.mutable_eliminate 6.18% : 0.026115s : 241: opt.transform.opt_a 0.06% : 0.000271s : 1: opt.transform.opt_after_cconv 0.03% : 0.000144s : 1: opt.transform.opt_after_jit_grad 0.25% : 0.001055s : 28: opt.transform.opt_b 0.09% : 0.000365s : 2: opt.transform.opt_trans_graph 0.07% : 0.000277s : 4: opt.transform.symbol_engine_opt 27.39% : 0.115757s : 1: opt_a 0.16% : 0.000675s : 1: opt_after_cconv 0.23% : 0.000968s : 1: opt_after_jit_grad 0.41% : 0.001713s : 1: opt_b 29.61% : 0.125140s : 1: optimize 0.02% : 0.000084s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000034s : 1: order_py_execute_after_rewriter 0.03% : 0.000118s : 1: overlap_grad_flash_sp 0.00% : 0.000008s : 1: overlap_grad_matmul_and_grad_allreduce 0.01% : 0.000023s : 1: overlap_grad_ring_attention 0.00% : 0.000008s : 1: overlap_opt_shard_grad_in_pipeline 0.01% : 0.000037s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000017s : 1: overlap_param_gather 0.00% : 0.000007s : 1: overlap_recompute_allgather_and_fa_grad 0.01% : 0.000022s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000009s : 1: overlap_recompute_comm 0.00% : 0.000013s : 1: parallel-infer-symbol 0.00% : 0.000007s : 1: parallel-infer-symbol-second 0.00% : 0.000010s : 1: partial_unused_args_eliminate 0.00% : 0.000010s : 1: pipeline_parallel_scheduler 0.00% : 0.000007s : 1: pipeline_split 0.02% : 0.000075s : 1: pre_auto_parallel 0.02% : 0.000066s : 1: py_interpret_to_execute 0.02% : 0.000065s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000007s : 1: remove_cast_before_assign_add 0.05% : 0.000192s : 1: remove_dup_value 15.84% : 0.066949s : 4: renormalize.infer 2.93% : 0.012402s : 4: renormalize.specialize 0.00% : 0.000008s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000015s : 1: rewriter_after_jit_bprop_graph 0.38% : 0.001591s : 1: rewriter_after_opt_a 0.04% : 0.000186s : 1: rewriter_before_opt_a 0.00% : 0.000009s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000008s : 1: slice_recompute_activation 0.00% : 0.000008s : 1: split_layernorm_comm 0.00% : 0.000009s : 1: split_matmul_comm_elemetwise 0.01% : 0.000040s : 1: swap_dp_allreduce_reducescatter 0.09% : 0.000393s : 1: symbol_engine_optimizer 0.10% : 0.000436s : 1: tuple_transform 9.86% : 0.041663s : 1: type_inference .[WARNING] PRE_ACT(165497,ffff82f04f30,python3.9):2026-01-29-17:37:53.166.722 [mindspore/ccsrc/runtime/memory/mem_pool/abstract_dynamic_mem_pool.cc:1109] FreeIdleMemsByEagerFree] Eager free count : 1, free memory : 1673536512, real free : 1679818752, not free : 0. [hook] pytest_runtest_teardown:test_with_stream_event_with_morph_cse tests/st/compiler/stream_event/test_with_stream.py::test_with_stream_event_with_morph_cse,max_mem:2116.0M =============================== warnings summary =============================== ../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222: DeprecationWarning: invalid escape sequence \B """ ../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad_reduce") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad_reduce") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d_reduce") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d_reduce") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel_grad") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer_grad") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perchannel") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perlayer") -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 1 passed, 25 warnings in 68.55s (0:01:08) ===================