[WARNING] ME(164956:281473189113648,MainProcess):2026-01-29-17:39:20.764.46 [mindspore/graph/_mark_deprecated.py:40] Module 'mindspore.common.api' is deprecated from version 2.9.0 and will be removed in a future version, use 'mindspore.graph.api' instead. ==================================================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/mint/optim, configfile: ../../../../../../../sault/virtual_test/virtualenv_005/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_fused_adamw.py TotalTime = 21.0448, [21] [bootstrap]: 0.0983809 [type_inference]: 13.1537 [event_method]: 0.00054818 [auto_monad]: 0.0109109 [graph_reusing]: 8.289e-05 [inline]: 3.45e-06 [add_attr]: 0.549242, [1] [add_attr_with_inline]: 0.547616, [1] [Cycle 1]: 0.0432865, [2] [tag_attr]: 0.0414067 [meta_addattr_fg_expand]: 0.00059154 [parallel-infer-symbol]: 6.73e-06 [pre_auto_parallel]: 0.00130274 [insert-virtual-dataset]: 3.15998e-06 [parallel-infer-symbol-second]: 1.72999e-06 [dataset_repeat_opt]: 3.21999e-06 [pipeline_split]: 2.16998e-06 [optimize]: 7.11925, [53] [py_interpret_to_execute]: 0.00074454 [rewriter_before_opt_a]: 0.0187441 [opt_a]: 6.90855, [3] [Cycle 1]: 6.73528, [45] [expand_dump_flag]: 8.509e-05 [switch_simplify]: 0.00832696 [loop_unroll]: 0.00138687 [a_1]: 0.383906 [with_stream_mark]: 0.00096973 [recompute_prepare]: 0.0001566 [updatestate_depend_eliminate]: 0.0066387 [updatestate_assign_eliminate]: 0.00014767 [updatestate_loads_eliminate]: 0.00015672 [parameter_eliminate]: 8.69998e-06 [a_2]: 0.00464312 [accelerated_algorithm]: 0.00049266 [shard]: 4.00998e-06 [meta_shard_fg_expand]: 7.296e-05 [shard_inline]: 0.00056353 [merge_send_recv]: 6.828e-05 [auto_parallel]: 4.617e-05 [parallel]: 0.00373412 [flash_sp]: 6.864e-05 [merge_comm]: 5.55e-05 [allreduce_fusion]: 3.678e-05 [matmul_add_comm_reduction]: 0.00010241 [allreduce_slice_to_reducescatter]: 1.18001e-06 [virtual_shard_identity]: 8.14e-05 [virtual_dataset]: 0.00023755 [get_grad_eliminate_]: 6.024e-05 [virtual_output]: 0.00077874 [merge_forward]: 4.372e-05 [cell_reuse_recompute_pass]: 3.41001e-06 [offload_activation]: 6.894e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.0001216 [merge_recompute_call_nodes]: 1.84e-06 [before_grad]: 0.00010268 [set_forward_comm_id_for_comm_node_pass]: 4.656e-05 [meta_fg_expand]: 5.32088 [flash_sp_send_recv_attached]: 7.23999e-06 [receive_attached]: 0.123211 [after_resolve]: 0.00050349 [a_after_grad]: 0.00067371 [renormalize]: 0.764507 [add_forward_monad_depend]: 7.492e-05 [auto_monad_grad]: 4.058e-05 [auto_monad_eliminator]: 0.00047532 [cse]: 0.00092104 [a_3]: 0.109683 [Cycle 2]: 0.16727, [45] [expand_dump_flag]: 1.224e-05 [switch_simplify]: 0.00026102 [loop_unroll]: 0.00024366 [a_1]: 0.0104941 [with_stream_mark]: 0.0001402 [recompute_prepare]: 5.532e-05 [updatestate_depend_eliminate]: 7.491e-05 [updatestate_assign_eliminate]: 3.332e-05 [updatestate_loads_eliminate]: 9.87e-05 [parameter_eliminate]: 3.09999e-06 [a_2]: 0.00105738 [accelerated_algorithm]: 5.622e-05 [shard]: 3.14001e-06 [meta_shard_fg_expand]: 1.97e-05 [shard_inline]: 4.34e-05 [merge_send_recv]: 3.968e-05 [auto_parallel]: 3.398e-05 [parallel]: 1.378e-05 [flash_sp]: 5.05999e-06 [merge_comm]: 2.742e-05 [allreduce_fusion]: 2.607e-05 [matmul_add_comm_reduction]: 3.98e-05 [allreduce_slice_to_reducescatter]: 1.25999e-06 [virtual_shard_identity]: 4.434e-05 [virtual_dataset]: 4.087e-05 [get_grad_eliminate_]: 4.046e-05 [virtual_output]: 0.00034524 [merge_forward]: 2.89e-05 [cell_reuse_recompute_pass]: 2.86999e-06 [offload_activation]: 4.69e-05 [cell_reuse_handle_not_recompute_node_pass]: 7.65e-05 [merge_recompute_call_nodes]: 1.89e-06 [before_grad]: 7.002e-05 [set_forward_comm_id_for_comm_node_pass]: 3.228e-05 [meta_fg_expand]: 0.0005512 [flash_sp_send_recv_attached]: 2.59999e-06 [receive_attached]: 2.84001e-06 [after_resolve]: 0.00041911 [a_after_grad]: 7.397e-05 [renormalize]: 0.149173 [add_forward_monad_depend]: 1.174e-05 [auto_monad_grad]: 3.33998e-06 [auto_monad_eliminator]: 0.00012857 [cse]: 0.00263864 [a_3]: 0.00030775 [Cycle 3]: 0.00596197, [45] [expand_dump_flag]: 2.46e-06 [switch_simplify]: 4.396e-05 [loop_unroll]: 4.244e-05 [a_1]: 0.00218478 [with_stream_mark]: 4.175e-05 [recompute_prepare]: 4.367e-05 [updatestate_depend_eliminate]: 3.216e-05 [updatestate_assign_eliminate]: 2.842e-05 [updatestate_loads_eliminate]: 3.09e-05 [parameter_eliminate]: 1.54998e-06 [a_2]: 0.00094518 [accelerated_algorithm]: 5.427e-05 [shard]: 2.89999e-06 [meta_shard_fg_expand]: 1.341e-05 [shard_inline]: 4.452e-05 [merge_send_recv]: 3.947e-05 [auto_parallel]: 3.429e-05 [parallel]: 1.182e-05 [flash_sp]: 2.69999e-06 [merge_comm]: 2.775e-05 [allreduce_fusion]: 2.566e-05 [matmul_add_comm_reduction]: 3.869e-05 [allreduce_slice_to_reducescatter]: 7.89994e-07 [virtual_shard_identity]: 4.522e-05 [virtual_dataset]: 0.00020786 [get_grad_eliminate_]: 5.183e-05 [virtual_output]: 4.084e-05 [merge_forward]: 2.786e-05 [cell_reuse_recompute_pass]: 2.61e-06 [offload_activation]: 4.43e-05 [cell_reuse_handle_not_recompute_node_pass]: 7.815e-05 [merge_recompute_call_nodes]: 1.76998e-06 [before_grad]: 0.00017659 [set_forward_comm_id_for_comm_node_pass]: 2.963e-05 [meta_fg_expand]: 2.067e-05 [flash_sp_send_recv_attached]: 2.37001e-06 [receive_attached]: 3.00002e-06 [after_resolve]: 5.833e-05 [a_after_grad]: 7.516e-05 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 4.30999e-06 [auto_monad_grad]: 2.44999e-06 [auto_monad_eliminator]: 0.00048047 [cse]: 0.00014886 [a_3]: 0.00031602 [py_interpret_to_execute_after_opt_a]: 5.104e-05 [slice_cell_reuse_recomputed_activation]: 2.31e-06 [rewriter_after_opt_a]: 0.181795 [convert_after_rewriter]: 0.00063302 [order_py_execute_after_rewriter]: 2.933e-05 [mutable_eliminate]: 0.00101576 [opt_b]: 0.00145724, [1] [Cycle 1]: 0.00144743, [7] [b_1]: 0.00107079 [b_2]: 4.505e-05 [updatestate_depend_eliminate]: 3.537e-05 [updatestate_assign_eliminate]: 3.4e-05 [updatestate_loads_eliminate]: 3.287e-05 [renormalize]: 7.50006e-07 [cse]: 0.00017446 [optimize_parallel_all_gather_comm]: 6.423e-05 [overlap_param_gather]: 3.111e-05 [cconv]: 5.205e-05 [loop_unroll]: 0.00054525 [opt_after_cconv]: 0.00055144, [1] [Cycle 1]: 0.00054255, [7] [c_1]: 0.00027263 [parameter_eliminate]: 3.48999e-06 [updatestate_depend_eliminate]: 4.082e-05 [updatestate_assign_eliminate]: 3.119e-05 [updatestate_loads_eliminate]: 2.851e-05 [cse]: 0.00012403 [renormalize]: 5.60016e-07 [remove_dup_value]: 0.00014416 [tuple_transform]: 0.0004775, [1] [Cycle 1]: 0.00047128, [4] [d_1]: 0.00040017 [none_parameter_eliminate]: 2.48998e-06 [renormalize]: 2.50002e-07 [switch_simplify]: 4.29e-05 [partial_unused_args_eliminate]: 2.19999e-06 [add_recomputation]: 0.00026201 [cse_after_recomputation]: 0.00013727, [1] [Cycle 1]: 0.00013005, [1] [cse]: 0.00012201 [environ_conv]: 4.318e-05 [swap_dp_allreduce_reducescatter]: 3.456e-05 [bias_add_comm_swap]: 3.61001e-06 [label_micro_interleaved_index]: 4.71002e-06 [label_fine_grained_interleaved_index]: 3.31999e-06 [merge_cast_opt]: 1.55999e-06 [slice_recompute_activation]: 2.29001e-06 [micro_interleaved_order_control]: 3.16001e-06 [assign_add_opt]: 1.35001e-06 [ForceFp32Comm]: 1.09e-06 [remove_cast_before_assign_add]: 1.15999e-06 [full_micro_interleaved_order_control]: 2.36998e-06 [reorder_send_recv_between_fp_bp]: 2.98998e-06 [comm_op_add_attrs]: 1.06002e-06 [add_comm_op_reuse_tag]: 1.22e-06 [interleave_split_concat_branches]: 1.22999e-06 [interleave_parallel_branches]: 1.15999e-06 [overlap_opt_shard_in_pipeline]: 0.00100461 [overlap_opt_shard_grad_in_pipeline]: 1.91e-06 [control_data_broadcast_order]: 7.828e-05 [grouped_pairwise_exchange_alltoall]: 2.32001e-06 [offloading_packed_experts]: 1.802e-05 [overlap_recompute_and_grad_model_parallel]: 1.898e-05 [overlap_grad_matmul_and_grad_allreduce]: 1.61002e-06 [overlap_recompute_allgather_and_fa_grad]: 1.48002e-06 [overlap_recompute_comm]: 2.48e-06 [overlap_grad_ring_attention]: 1.666e-05 [overlap_grad_flash_sp]: 0.00113066 [begin_end_overlap_inline]: 6.19999e-07 [split_matmul_comm_elemetwise]: 2.71999e-06 [split_layernorm_comm]: 2.12001e-06 [handle_group_info]: 1.40999e-06 [symbol_engine_optimizer]: 0.00030233, [1] [Cycle 1]: 0.00029634, [6] [build]: 2.471e-05 [elim_shapecalc]: 5.112e-05 [elim_not_effective]: 7.321e-05 [opt_reshape]: 4.179e-05 [fold_const_symbol]: 6.735e-05 [renormalize]: 3.00002e-07 [detach_backward]: 4.03999e-06 [pipeline_parallel_scheduler]: 1.60999e-06 [auto_monad_reorder]: 0.00019634 [get_jit_bprop_graph]: 1.91e-06 [rewriter_after_jit_bprop_graph]: 4.21001e-06 [opt_after_jit_grad]: 0.107968 [validate]: 0.00274787 Sums bootstrap : 0.098381s : 0.48% type_inference : 13.153669s : 64.06% event_method : 0.000548s : 0.00% auto_monad : 0.010911s : 0.05% graph_reusing : 0.000083s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.041407s : 0.20% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000592s : 0.00% parallel-infer-symbol : 0.000007s : 0.00% pre_auto_parallel : 0.001303s : 0.01% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000002s : 0.00% dataset_repeat_opt : 0.000003s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000745s : 0.00% optimize.rewriter_before_opt_a : 0.018744s : 0.09% optimize.opt_a.expand_dump_flag : 0.000100s : 0.00% optimize.opt_a.switch_simplify : 0.008632s : 0.04% optimize.opt_a.loop_unroll : 0.001673s : 0.01% optimize.opt_a.a_1 : 0.396585s : 1.93% optimize.opt_a.with_stream_mark : 0.001152s : 0.01% optimize.opt_a.recompute_prepare : 0.000256s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.006746s : 0.03% optimize.opt_a.updatestate_assign_eliminate : 0.000209s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000286s : 0.00% optimize.opt_a.parameter_eliminate : 0.000013s : 0.00% optimize.opt_a.a_2 : 0.006646s : 0.03% optimize.opt_a.accelerated_algorithm : 0.000603s : 0.00% optimize.opt_a.shard : 0.000010s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000106s : 0.00% optimize.opt_a.shard_inline : 0.000651s : 0.00% optimize.opt_a.merge_send_recv : 0.000147s : 0.00% optimize.opt_a.auto_parallel : 0.000114s : 0.00% optimize.opt_a.parallel : 0.003760s : 0.02% optimize.opt_a.flash_sp : 0.000076s : 0.00% optimize.opt_a.merge_comm : 0.000111s : 0.00% optimize.opt_a.allreduce_fusion : 0.000089s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000181s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000003s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000171s : 0.00% optimize.opt_a.virtual_dataset : 0.000486s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000153s : 0.00% optimize.opt_a.virtual_output : 0.001165s : 0.01% optimize.opt_a.merge_forward : 0.000100s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000009s : 0.00% optimize.opt_a.offload_activation : 0.000160s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000276s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000005s : 0.00% optimize.opt_a.before_grad : 0.000349s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000108s : 0.00% optimize.opt_a.meta_fg_expand : 5.321456s : 25.92% optimize.opt_a.flash_sp_send_recv_attached : 0.000012s : 0.00% optimize.opt_a.receive_attached : 0.123217s : 0.60% optimize.opt_a.after_resolve : 0.000981s : 0.00% optimize.opt_a.a_after_grad : 0.000823s : 0.00% optimize.opt_a.renormalize : 0.913680s : 4.45% optimize.opt_a.add_forward_monad_depend : 0.000091s : 0.00% optimize.opt_a.auto_monad_grad : 0.000046s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.001084s : 0.01% optimize.opt_a.cse : 0.003709s : 0.02% optimize.opt_a.a_3 : 0.110307s : 0.54% optimize.py_interpret_to_execute_after_opt_a : 0.000051s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.181795s : 0.89% optimize.convert_after_rewriter : 0.000633s : 0.00% optimize.order_py_execute_after_rewriter : 0.000029s : 0.00% optimize.mutable_eliminate : 0.001016s : 0.00% optimize.opt_b.b_1 : 0.001071s : 0.01% optimize.opt_b.b_2 : 0.000045s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000035s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000034s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000033s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000174s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.000064s : 0.00% optimize.overlap_param_gather : 0.000031s : 0.00% optimize.cconv : 0.000052s : 0.00% optimize.loop_unroll : 0.000545s : 0.00% optimize.opt_after_cconv.c_1 : 0.000273s : 0.00% optimize.opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000041s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000031s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000029s : 0.00% optimize.opt_after_cconv.cse : 0.000124s : 0.00% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000144s : 0.00% optimize.tuple_transform.d_1 : 0.000400s : 0.00% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000043s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000262s : 0.00% optimize.cse_after_recomputation.cse : 0.000122s : 0.00% optimize.environ_conv : 0.000043s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000035s : 0.00% optimize.bias_add_comm_swap : 0.000004s : 0.00% optimize.label_micro_interleaved_index : 0.000005s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000001s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000002s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.00% optimize.comm_op_add_attrs : 0.000001s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000001s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.001005s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000078s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000018s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000019s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000002s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000017s : 0.00% optimize.overlap_grad_flash_sp : 0.001131s : 0.01% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000003s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000025s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000051s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000073s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000042s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000067s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000004s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000196s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000004s : 0.00% opt_after_jit_grad : 0.107968s : 0.53% validate : 0.002748s : 0.01% Time group info: ------[substitution.] 0.132191 2026 0.07% : 0.000096s : 6: substitution.arithmetic_simplify 0.05% : 0.000068s : 4: substitution.cast_eliminate 0.02% : 0.000032s : 17: substitution.depend_value_elim 0.01% : 0.000011s : 29: substitution.elim_not_effective 0.01% : 0.000012s : 5: substitution.environ_get_add_eliminate 0.01% : 0.000008s : 3: substitution.environ_get_depend_swap 0.01% : 0.000017s : 9: substitution.environ_get_eliminate 0.02% : 0.000026s : 5: substitution.environ_get_set_eliminate 0.01% : 0.000012s : 13: substitution.float_depend_g_call 0.00% : 0.000006s : 4: substitution.float_environ_get_switch 0.02% : 0.000022s : 12: substitution.float_tuple_getitem_switch 0.01% : 0.000009s : 29: substitution.fold_const_symbol 90.23% : 0.119274s : 13: substitution.getattr_setattr_resolve 0.02% : 0.000027s : 40: substitution.graph_param_transform 0.01% : 0.000007s : 4: substitution.incorporate_call 0.34% : 0.000456s : 4: substitution.incorporate_call_switch 6.40% : 0.008462s : 155: substitution.inline 0.08% : 0.000106s : 10: substitution.inline_without_move 0.03% : 0.000042s : 102: substitution.j_node_and_user_rematch 0.09% : 0.000119s : 11: substitution.less_batch_normalization 0.04% : 0.000055s : 84: substitution.load_eliminater 0.11% : 0.000148s : 75: substitution.minmaximum_grad 0.03% : 0.000034s : 13: substitution.partial_eliminate 0.04% : 0.000059s : 102: substitution.remove_not_recompute_node 0.18% : 0.000242s : 83: substitution.replace_applicator 0.03% : 0.000045s : 63: substitution.replace_old_param 0.01% : 0.000008s : 2: substitution.set_cell_output_no_recompute 0.01% : 0.000010s : 2: substitution.specialize_transform 0.01% : 0.000016s : 8: substitution.split_environ_get_set_with_tuple_value 0.46% : 0.000614s : 26: substitution.switch_simplify 0.17% : 0.000230s : 89: substitution.tuple_list_convert_item_index_to_positive 0.10% : 0.000126s : 103: substitution.tuple_list_get_item_const_eliminator 0.23% : 0.000300s : 103: substitution.tuple_list_get_item_depend_reorder 0.49% : 0.000643s : 178: substitution.tuple_list_get_item_eliminator 0.13% : 0.000171s : 103: substitution.tuple_list_get_set_item_eliminator 0.01% : 0.000016s : 2: substitution.tuple_list_set_item_eliminator 0.18% : 0.000237s : 240: substitution.updatestate_pure_node_eliminater 0.32% : 0.000423s : 275: substitution.updatestate_useless_node_eliminater ------[type_inference.] 12.980874 2 91.55% : 11.883977s : 1: type_inference.infer 8.45% : 1.096897s : 1: type_inference.specialize ------[replace.] 0.205123 284 0.00% : 0.000009s : 1: replace.arithmetic_simplify 0.01% : 0.000031s : 4: replace.cast_eliminate 0.04% : 0.000077s : 8: replace.depend_value_elim 0.01% : 0.000031s : 2: replace.environ_get_set_eliminate 16.78% : 0.034411s : 10: replace.getattr_setattr_resolve 81.16% : 0.166470s : 142: replace.inline 0.02% : 0.000033s : 2: replace.partial_eliminate 0.06% : 0.000124s : 7: replace.replace_applicator 0.77% : 0.001578s : 26: replace.switch_simplify 0.09% : 0.000191s : 16: replace.tuple_list_get_item_depend_reorder 1.05% : 0.002153s : 65: replace.tuple_list_get_item_eliminator 0.01% : 0.000016s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.128469 284 0.04% : 0.000052s : 1: match.arithmetic_simplify 0.05% : 0.000064s : 4: match.cast_eliminate 0.00% : 0.000003s : 8: match.depend_value_elim 0.01% : 0.000019s : 2: match.environ_get_set_eliminate 92.62% : 0.118989s : 10: match.getattr_setattr_resolve 6.50% : 0.008345s : 142: match.inline 0.02% : 0.000021s : 2: match.partial_eliminate 0.04% : 0.000046s : 7: match.replace_applicator 0.46% : 0.000597s : 26: match.switch_simplify 0.12% : 0.000148s : 16: match.tuple_list_get_item_depend_reorder 0.13% : 0.000170s : 65: match.tuple_list_get_item_eliminator 0.01% : 0.000015s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.206682 41997 0.04% : 0.000073s : 523: predicate.accumulaten_eliminater 0.01% : 0.000026s : 40: predicate.ad_related_special_op_eliminate 0.01% : 0.000028s : 209: predicate.addn_check_dump 0.04% : 0.000076s : 523: predicate.addn_zero_filter 0.03% : 0.000069s : 523: predicate.adjust_all_reduce_mul_add 0.14% : 0.000297s : 733: predicate.arithmetic_simplify 0.04% : 0.000078s : 528: predicate.cast_eliminate 0.04% : 0.000092s : 672: predicate.check_bprop_eliminate 0.01% : 0.000027s : 209: predicate.compare_switch_simplify 0.00% : 0.000003s : 40: predicate.const_output_eliminate 0.01% : 0.000030s : 216: predicate.depend_value_elim 0.04% : 0.000078s : 530: predicate.dict_get_item_const_eliminator 0.04% : 0.000086s : 530: predicate.dict_get_item_eliminator 0.04% : 0.000074s : 530: predicate.dict_set_item_eliminator 0.01% : 0.000014s : 80: predicate.dumpgradient_eliminate 0.00% : 0.000003s : 40: predicate.elim_not_effective 0.00% : 0.000006s : 40: predicate.elim_shapecalc_of_broadcastargs 0.04% : 0.000078s : 568: predicate.environ_add_const_eliminate 0.04% : 0.000076s : 570: predicate.environ_get_add_eliminate 0.04% : 0.000075s : 568: predicate.environ_get_depend_swap 0.05% : 0.000107s : 779: predicate.environ_get_eliminate 0.04% : 0.000075s : 570: predicate.environ_get_set_eliminate 0.05% : 0.000106s : 756: predicate.exchange_switch_depend_value 0.07% : 0.000141s : 756: predicate.float_depend_g_call 0.08% : 0.000158s : 209: predicate.float_environ_get_switch 0.02% : 0.000035s : 249: predicate.float_tuple_getitem_switch 0.00% : 0.000003s : 40: predicate.fold_const_symbol 0.01% : 0.000029s : 140: predicate.get_grad_eliminate 0.02% : 0.000031s : 71: predicate.getattr_setattr_resolve 0.00% : 0.000003s : 40: predicate.graph_param_transform 0.01% : 0.000028s : 209: predicate.incorporate_call 0.01% : 0.000027s : 209: predicate.incorporate_call_switch 0.80% : 0.001654s : 1708: predicate.inline 0.04% : 0.000087s : 303: predicate.inline_without_move 0.00% : 0.000010s : 140: predicate.j_node_and_user_rematch 0.01% : 0.000030s : 163: predicate.less_batch_normalization 0.05% : 0.000101s : 691: predicate.list_to_tuple_eliminator_ 0.08% : 0.000168s : 1216: predicate.load_eliminater 0.00% : 0.000009s : 40: predicate.loop_unroll_after_grad 0.42% : 0.000875s : 956: predicate.loop_unroll_before_grad 0.04% : 0.000084s : 626: predicate.make_slice_get_slice_eliminator 0.01% : 0.000031s : 209: predicate.merge_addn 0.07% : 0.000137s : 644: predicate.micro_step_allgather_replace 0.06% : 0.000125s : 644: predicate.mini_step_allgather_replace 0.03% : 0.000072s : 524: predicate.minmaximum_grad 0.01% : 0.000011s : 40: predicate.mutable_eliminate 0.00% : 0.000006s : 40: predicate.opt_reshape 0.00% : 0.000006s : 40: predicate.parallel_virtual_node 0.10% : 0.000198s : 756: predicate.partial_defer_inline 0.05% : 0.000104s : 653: predicate.partial_eliminate 0.03% : 0.000070s : 523: predicate.print_const_string_wrapper 0.01% : 0.000027s : 200: predicate.reduce_all_const_elim 93.56% : 0.193379s : 524: predicate.reduce_eliminate 0.31% : 0.000633s : 1216: predicate.redundant_stop_gradient_eliminater 0.00% : 0.000010s : 140: predicate.remove_not_recompute_node 0.06% : 0.000114s : 1269: predicate.replace_applicator 0.01% : 0.000024s : 303: predicate.replace_old_param 0.00% : 0.000003s : 40: predicate.reset_defer_inline 0.04% : 0.000073s : 524: predicate.reshape_eliminate 0.05% : 0.000095s : 644: predicate.row_tensor_add_zeros_like 0.00% : 0.000006s : 40: predicate.row_tensor_eliminate 0.05% : 0.000103s : 672: predicate.same_eliminate 0.01% : 0.000015s : 192: predicate.set_cell_output_no_recompute 0.01% : 0.000022s : 140: predicate.shard_identity_eliminate 0.01% : 0.000012s : 80: predicate.special_op_eliminate 0.02% : 0.000038s : 209: predicate.specialize_transform 0.04% : 0.000093s : 644: predicate.split_environ_get_set_with_tuple_value 0.02% : 0.000051s : 303: predicate.stack_unstack_eliminate 0.00% : 0.000006s : 40: predicate.switch_call_monad_eliminater 0.06% : 0.000116s : 756: predicate.switch_defer_inline 0.10% : 0.000203s : 1428: predicate.switch_layer_defer_inline 1.90% : 0.003930s : 2013: predicate.switch_simplify 0.09% : 0.000188s : 524: predicate.tile_eliminate 0.04% : 0.000073s : 524: predicate.transpose_eliminate 0.05% : 0.000097s : 610: predicate.tuple_list_convert_item_index_to_positive 0.05% : 0.000105s : 626: predicate.tuple_list_get_item_const_eliminator 0.04% : 0.000089s : 626: predicate.tuple_list_get_item_depend_reorder 0.29% : 0.000599s : 900: predicate.tuple_list_get_item_eliminator 0.05% : 0.000093s : 626: predicate.tuple_list_get_set_item_eliminator 0.06% : 0.000130s : 835: predicate.tuple_list_set_item_eliminator 0.05% : 0.000097s : 691: predicate.tuple_to_list_eliminator_ 0.08% : 0.000167s : 1216: predicate.updatestate_pure_node_eliminater 0.10% : 0.000217s : 1426: predicate.updatestate_useless_node_eliminater 0.00% : 0.000005s : 40: predicate.value_based_eliminate 0.01% : 0.000020s : 140: predicate.virtual_dataset_eliminate 0.01% : 0.000021s : 140: predicate.virtual_output_eliminate 0.00% : 0.000006s : 40: predicate.virtual_view_grad_eliminate 0.00% : 0.000006s : 40: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.742868 357 70.48% : 0.523598s : 177: func_graph_cloner_run.FuncGraphClonerGraph 0.03% : 0.000195s : 3: func_graph_cloner_run.FuncGraphClonerNode 29.49% : 0.219075s : 177: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 30.306795 264 0.00% : 0.000004s : 1: ForceFp32Comm 1.81% : 0.549252s : 1: add_attr 1.81% : 0.547625s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.00% : 0.000268s : 1: add_recomputation 0.00% : 0.000005s : 1: assign_add_opt 0.04% : 0.010958s : 1: auto_monad 0.00% : 0.000202s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: begin_end_overlap_inline 0.00% : 0.000009s : 1: bias_add_comm_swap 0.32% : 0.098436s : 1: bootstrap 0.00% : 0.000056s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000082s : 1: control_data_broadcast_order 0.00% : 0.000642s : 1: convert_after_rewriter 0.00% : 0.000141s : 1: cse_after_recomputation 0.00% : 0.000007s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.00% : 0.000047s : 1: environ_conv 0.00% : 0.000565s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000093s : 1: graph_reusing 0.00% : 0.000006s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000005s : 1: handle_group_info 0.00% : 0.000008s : 1: inline 0.00% : 0.000008s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000005s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000008s : 1: label_micro_interleaved_index 0.00% : 0.000555s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.00% : 0.001026s : 1: mutable_eliminate 0.00% : 0.000021s : 1: offloading_packed_experts 0.00% : 0.000055s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000068s : 1: opt.transform.mutable_eliminate 1.74% : 0.528658s : 142: opt.transform.opt_a 0.00% : 0.000271s : 1: opt.transform.opt_after_cconv 0.00% : 0.000200s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.001080s : 28: opt.transform.opt_b 0.51% : 0.153967s : 6: opt.transform.opt_resolve 0.00% : 0.000439s : 2: opt.transform.opt_trans_graph 0.00% : 0.000229s : 4: opt.transform.symbol_engine_opt 22.80% : 6.908559s : 1: opt_a 0.00% : 0.000555s : 1: opt_after_cconv 0.36% : 0.108015s : 1: opt_after_jit_grad 0.00% : 0.001461s : 1: opt_b 23.49% : 7.119262s : 1: optimize 0.00% : 0.000069s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000034s : 1: order_py_execute_after_rewriter 0.00% : 0.001136s : 1: overlap_grad_flash_sp 0.00% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000020s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.001009s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000036s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000023s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000005s : 1: overlap_recompute_comm 0.00% : 0.000013s : 1: parallel-infer-symbol 0.00% : 0.000005s : 1: parallel-infer-symbol-second 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.00% : 0.001322s : 1: pre_auto_parallel 0.00% : 0.000773s : 1: py_interpret_to_execute 0.00% : 0.000056s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000150s : 1: remove_dup_value 2.29% : 0.692560s : 2: renormalize.infer 0.73% : 0.221079s : 2: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.60% : 0.181817s : 1: rewriter_after_opt_a 0.06% : 0.019127s : 1: rewriter_before_opt_a 0.00% : 0.000006s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000006s : 1: split_matmul_comm_elemetwise 0.00% : 0.000038s : 1: swap_dp_allreduce_reducescatter 0.00% : 0.000305s : 1: symbol_engine_optimizer 0.00% : 0.000481s : 1: tuple_transform 43.40% : 13.153758s : 1: type_inference . [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_group1_graph_compile tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_group1_graph_compile,max_mem:4.0M =============================== warnings summary =============================== ../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222: DeprecationWarning: invalid escape sequence \B """ ../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad_reduce") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad_reduce") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d_reduce") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d_reduce") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel_grad") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer_grad") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perchannel") ../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perlayer") test_fused_adamw.py::test_mint_optim_fused_adamw_group1_graph_compile /usr/local/Ascend/cann-8.5.0/python/site-packages/asc_op_compile_base/asc_op_compiler/ascendc_compile_gen_code.py:161: DeprecationWarning: invalid escape sequence \w match = re.search(f'{option}=(\w+)', ' '.join(compile_options)) -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 1 passed, 26 warnings in 275.28s (0:04:35) ==================