[WARNING] ME(162761:281473181683504,MainProcess):2026-01-29-17:38:44.979.028 [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_006/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 = 10.79, [21] [bootstrap]: 0.00365314 [type_inference]: 8.55863 [event_method]: 0.00050721 [auto_monad]: 0.00371064 [graph_reusing]: 9.815e-05 [inline]: 2.96001e-06 [add_attr]: 0.17163, [1] [add_attr_with_inline]: 0.171554, [1] [Cycle 1]: 0.00074154, [2] [tag_attr]: 0.00047881 [meta_addattr_fg_expand]: 0.00012443 [parallel-infer-symbol]: 4.50999e-06 [pre_auto_parallel]: 0.00049739 [insert-virtual-dataset]: 3.14001e-06 [parallel-infer-symbol-second]: 1.48002e-06 [dataset_repeat_opt]: 2.68003e-06 [pipeline_split]: 1.67999e-06 [optimize]: 2.04944, [53] [py_interpret_to_execute]: 0.00052351 [rewriter_before_opt_a]: 0.00504382 [opt_a]: 2.03652, [3] [Cycle 1]: 1.78699, [45] [expand_dump_flag]: 8.045e-05 [switch_simplify]: 0.00171933 [loop_unroll]: 0.00078882 [a_1]: 0.165607 [with_stream_mark]: 0.00035863 [recompute_prepare]: 0.00017675 [updatestate_depend_eliminate]: 0.00089841 [updatestate_assign_eliminate]: 7.988e-05 [updatestate_loads_eliminate]: 0.00015263 [parameter_eliminate]: 8.08001e-06 [a_2]: 0.11948 [accelerated_algorithm]: 0.00022315 [shard]: 3.18e-06 [meta_shard_fg_expand]: 7.08e-05 [shard_inline]: 8.312e-05 [merge_send_recv]: 6.637e-05 [auto_parallel]: 5.062e-05 [parallel]: 0.00016404 [flash_sp]: 3.796e-05 [merge_comm]: 4.65e-05 [allreduce_fusion]: 4.166e-05 [matmul_add_comm_reduction]: 9.233e-05 [allreduce_slice_to_reducescatter]: 8.39995e-07 [virtual_shard_identity]: 7.603e-05 [virtual_dataset]: 5.94e-05 [get_grad_eliminate_]: 5.949e-05 [virtual_output]: 5.837e-05 [merge_forward]: 3.999e-05 [cell_reuse_recompute_pass]: 4.33001e-06 [offload_activation]: 7.118e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00012458 [merge_recompute_call_nodes]: 1.70001e-06 [before_grad]: 0.00012112 [set_forward_comm_id_for_comm_node_pass]: 4.934e-05 [meta_fg_expand]: 0.59154 [flash_sp_send_recv_attached]: 8.55999e-06 [receive_attached]: 2.32001e-06 [after_resolve]: 0.00034948 [a_after_grad]: 0.00051364 [renormalize]: 0.787947 [add_forward_monad_depend]: 0.00020633 [auto_monad_grad]: 4.47e-05 [auto_monad_eliminator]: 0.00061012 [cse]: 0.00103852 [a_3]: 0.112864 [Cycle 2]: 0.0739317, [45] [expand_dump_flag]: 2.476e-05 [switch_simplify]: 0.00038583 [loop_unroll]: 0.00026115 [a_1]: 0.00858676 [with_stream_mark]: 0.00016585 [recompute_prepare]: 6.536e-05 [updatestate_depend_eliminate]: 9.728e-05 [updatestate_assign_eliminate]: 3.564e-05 [updatestate_loads_eliminate]: 0.00011604 [parameter_eliminate]: 3.63e-06 [a_2]: 0.00072775 [accelerated_algorithm]: 6.621e-05 [shard]: 3.21001e-06 [meta_shard_fg_expand]: 2.441e-05 [shard_inline]: 4.455e-05 [merge_send_recv]: 4.274e-05 [auto_parallel]: 3.579e-05 [parallel]: 1.305e-05 [flash_sp]: 5.61e-06 [merge_comm]: 2.831e-05 [allreduce_fusion]: 2.569e-05 [matmul_add_comm_reduction]: 4.231e-05 [allreduce_slice_to_reducescatter]: 8.50006e-07 [virtual_shard_identity]: 7.839e-05 [virtual_dataset]: 0.00064788 [get_grad_eliminate_]: 5.332e-05 [virtual_output]: 4.205e-05 [merge_forward]: 4.286e-05 [cell_reuse_recompute_pass]: 3.95998e-06 [offload_activation]: 5.471e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00011909 [merge_recompute_call_nodes]: 3.23e-06 [before_grad]: 7.931e-05 [set_forward_comm_id_for_comm_node_pass]: 3.886e-05 [meta_fg_expand]: 0.00069604 [flash_sp_send_recv_attached]: 4.19002e-06 [receive_attached]: 3.95e-06 [after_resolve]: 9.429e-05 [a_after_grad]: 7.783e-05 [renormalize]: 0.0331809 [add_forward_monad_depend]: 1.426e-05 [auto_monad_grad]: 3.46001e-06 [auto_monad_eliminator]: 0.00016523 [cse]: 0.0257472 [a_3]: 0.001291 [Cycle 3]: 0.175565, [45] [expand_dump_flag]: 5.05999e-06 [switch_simplify]: 5.195e-05 [loop_unroll]: 4.455e-05 [a_1]: 0.172576 [with_stream_mark]: 8.547e-05 [recompute_prepare]: 5.69e-05 [updatestate_depend_eliminate]: 3.498e-05 [updatestate_assign_eliminate]: 2.927e-05 [updatestate_loads_eliminate]: 3.265e-05 [parameter_eliminate]: 2.83998e-06 [a_2]: 0.00073309 [accelerated_algorithm]: 7.28e-05 [shard]: 3.59002e-06 [meta_shard_fg_expand]: 2.055e-05 [shard_inline]: 4.435e-05 [merge_send_recv]: 4.261e-05 [auto_parallel]: 3.387e-05 [parallel]: 1.245e-05 [flash_sp]: 3.23e-06 [merge_comm]: 2.724e-05 [allreduce_fusion]: 2.519e-05 [matmul_add_comm_reduction]: 4.358e-05 [allreduce_slice_to_reducescatter]: 1.02998e-06 [virtual_shard_identity]: 4.849e-05 [virtual_dataset]: 4.21e-05 [get_grad_eliminate_]: 3.93e-05 [virtual_output]: 4.077e-05 [merge_forward]: 2.781e-05 [cell_reuse_recompute_pass]: 4.28001e-06 [offload_activation]: 4.621e-05 [cell_reuse_handle_not_recompute_node_pass]: 8.444e-05 [merge_recompute_call_nodes]: 2.34001e-06 [before_grad]: 7.125e-05 [set_forward_comm_id_for_comm_node_pass]: 2.995e-05 [meta_fg_expand]: 1.929e-05 [flash_sp_send_recv_attached]: 1.91e-06 [receive_attached]: 2.55002e-06 [after_resolve]: 6.239e-05 [a_after_grad]: 6.988e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 4.93001e-06 [auto_monad_grad]: 3.66001e-06 [auto_monad_eliminator]: 0.00012673 [cse]: 0.00018022 [a_3]: 0.00029514 [py_interpret_to_execute_after_opt_a]: 6.982e-05 [slice_cell_reuse_recomputed_activation]: 3.36999e-06 [rewriter_after_opt_a]: 0.00051929 [convert_after_rewriter]: 4.596e-05 [order_py_execute_after_rewriter]: 2.772e-05 [mutable_eliminate]: 0.0009331 [opt_b]: 0.00157826, [1] [Cycle 1]: 0.00156332, [7] [b_1]: 0.00111509 [b_2]: 5.473e-05 [updatestate_depend_eliminate]: 5.339e-05 [updatestate_assign_eliminate]: 4.033e-05 [updatestate_loads_eliminate]: 3.499e-05 [renormalize]: 1.19003e-06 [cse]: 0.0001841 [optimize_parallel_all_gather_comm]: 7.957e-05 [overlap_param_gather]: 5.22e-06 [cconv]: 6.256e-05 [loop_unroll]: 0.00086364 [opt_after_cconv]: 0.00068148, [1] [Cycle 1]: 0.0006679, [7] [c_1]: 0.00030828 [parameter_eliminate]: 6.34001e-06 [updatestate_depend_eliminate]: 5.346e-05 [updatestate_assign_eliminate]: 3.484e-05 [updatestate_loads_eliminate]: 3.289e-05 [cse]: 0.00016561 [renormalize]: 1.39998e-06 [remove_dup_value]: 0.00015401 [tuple_transform]: 0.0004737, [1] [Cycle 1]: 0.00046418, [4] [d_1]: 0.00037613 [none_parameter_eliminate]: 3.98001e-06 [renormalize]: 3.39991e-07 [switch_simplify]: 4.703e-05 [partial_unused_args_eliminate]: 2.36998e-06 [add_recomputation]: 0.00029436 [cse_after_recomputation]: 0.0002465, [1] [Cycle 1]: 0.00023793, [1] [cse]: 0.0001443 [environ_conv]: 4.759e-05 [swap_dp_allreduce_reducescatter]: 3.73e-05 [bias_add_comm_swap]: 4.79e-06 [label_micro_interleaved_index]: 1.148e-05 [label_fine_grained_interleaved_index]: 3.09001e-06 [merge_cast_opt]: 1.45001e-06 [slice_recompute_activation]: 2.88998e-06 [micro_interleaved_order_control]: 2.52001e-06 [assign_add_opt]: 1.74998e-06 [ForceFp32Comm]: 9.79984e-07 [remove_cast_before_assign_add]: 1.09e-06 [full_micro_interleaved_order_control]: 2.46e-06 [reorder_send_recv_between_fp_bp]: 3.40998e-06 [comm_op_add_attrs]: 1.15999e-06 [add_comm_op_reuse_tag]: 1.12999e-06 [interleave_split_concat_branches]: 1.40999e-06 [interleave_parallel_branches]: 1.09998e-06 [overlap_opt_shard_in_pipeline]: 6.867e-05 [overlap_opt_shard_grad_in_pipeline]: 1.94999e-06 [control_data_broadcast_order]: 8.715e-05 [grouped_pairwise_exchange_alltoall]: 1.96e-06 [offloading_packed_experts]: 1.982e-05 [overlap_recompute_and_grad_model_parallel]: 1.993e-05 [overlap_grad_matmul_and_grad_allreduce]: 1.62999e-06 [overlap_recompute_allgather_and_fa_grad]: 1.99e-06 [overlap_recompute_comm]: 2.63e-06 [overlap_grad_ring_attention]: 3.388e-05 [overlap_grad_flash_sp]: 0.00010348 [begin_end_overlap_inline]: 6.60017e-07 [split_matmul_comm_elemetwise]: 2.56e-06 [split_layernorm_comm]: 1.79e-06 [handle_group_info]: 1.37999e-06 [symbol_engine_optimizer]: 0.00034839, [1] [Cycle 1]: 0.00034099, [6] [build]: 2.786e-05 [elim_shapecalc]: 6.643e-05 [elim_not_effective]: 8.314e-05 [opt_reshape]: 4.269e-05 [fold_const_symbol]: 6.999e-05 [renormalize]: 5.39992e-07 [detach_backward]: 4.53001e-06 [pipeline_parallel_scheduler]: 1.64998e-06 [auto_monad_reorder]: 0.00018417 [get_jit_bprop_graph]: 2.91e-06 [rewriter_after_jit_bprop_graph]: 8.50001e-06 [opt_after_jit_grad]: 0.0010411 [validate]: 0.00028231 Sums bootstrap : 0.003653s : 0.03% type_inference : 8.558635s : 80.62% event_method : 0.000507s : 0.00% auto_monad : 0.003711s : 0.03% graph_reusing : 0.000098s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000479s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000124s : 0.00% parallel-infer-symbol : 0.000005s : 0.00% pre_auto_parallel : 0.000497s : 0.00% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000003s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000524s : 0.00% optimize.rewriter_before_opt_a : 0.005044s : 0.05% optimize.opt_a.expand_dump_flag : 0.000110s : 0.00% optimize.opt_a.switch_simplify : 0.002157s : 0.02% optimize.opt_a.loop_unroll : 0.001095s : 0.01% optimize.opt_a.a_1 : 0.346770s : 3.27% optimize.opt_a.with_stream_mark : 0.000610s : 0.01% optimize.opt_a.recompute_prepare : 0.000299s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.001031s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000145s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000301s : 0.00% optimize.opt_a.parameter_eliminate : 0.000015s : 0.00% optimize.opt_a.a_2 : 0.120941s : 1.14% optimize.opt_a.accelerated_algorithm : 0.000362s : 0.00% optimize.opt_a.shard : 0.000010s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000116s : 0.00% optimize.opt_a.shard_inline : 0.000172s : 0.00% optimize.opt_a.merge_send_recv : 0.000152s : 0.00% optimize.opt_a.auto_parallel : 0.000120s : 0.00% optimize.opt_a.parallel : 0.000190s : 0.00% optimize.opt_a.flash_sp : 0.000047s : 0.00% optimize.opt_a.merge_comm : 0.000102s : 0.00% optimize.opt_a.allreduce_fusion : 0.000093s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000178s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000003s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000203s : 0.00% optimize.opt_a.virtual_dataset : 0.000749s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000152s : 0.00% optimize.opt_a.virtual_output : 0.000141s : 0.00% optimize.opt_a.merge_forward : 0.000111s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000013s : 0.00% optimize.opt_a.offload_activation : 0.000172s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000328s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000007s : 0.00% optimize.opt_a.before_grad : 0.000272s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000118s : 0.00% optimize.opt_a.meta_fg_expand : 0.592256s : 5.58% optimize.opt_a.flash_sp_send_recv_attached : 0.000015s : 0.00% optimize.opt_a.receive_attached : 0.000009s : 0.00% optimize.opt_a.after_resolve : 0.000506s : 0.00% optimize.opt_a.a_after_grad : 0.000661s : 0.01% optimize.opt_a.renormalize : 0.821128s : 7.73% optimize.opt_a.add_forward_monad_depend : 0.000226s : 0.00% optimize.opt_a.auto_monad_grad : 0.000052s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000902s : 0.01% optimize.opt_a.cse : 0.026966s : 0.25% optimize.opt_a.a_3 : 0.114450s : 1.08% optimize.py_interpret_to_execute_after_opt_a : 0.000070s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000519s : 0.00% optimize.convert_after_rewriter : 0.000046s : 0.00% optimize.order_py_execute_after_rewriter : 0.000028s : 0.00% optimize.mutable_eliminate : 0.000933s : 0.01% optimize.opt_b.b_1 : 0.001115s : 0.01% optimize.opt_b.b_2 : 0.000055s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000053s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000040s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000035s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000184s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.000080s : 0.00% optimize.overlap_param_gather : 0.000005s : 0.00% optimize.cconv : 0.000063s : 0.00% optimize.loop_unroll : 0.000864s : 0.01% optimize.opt_after_cconv.c_1 : 0.000308s : 0.00% optimize.opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000053s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000035s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000033s : 0.00% optimize.opt_after_cconv.cse : 0.000166s : 0.00% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000154s : 0.00% optimize.tuple_transform.d_1 : 0.000376s : 0.00% optimize.tuple_transform.none_parameter_eliminate : 0.000004s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000047s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000294s : 0.00% optimize.cse_after_recomputation.cse : 0.000144s : 0.00% optimize.environ_conv : 0.000048s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000037s : 0.00% optimize.bias_add_comm_swap : 0.000005s : 0.00% optimize.label_micro_interleaved_index : 0.000011s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000001s : 0.00% optimize.slice_recompute_activation : 0.000003s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000002s : 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 : 0.000069s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000087s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000020s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000020s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000002s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000002s : 0.00% optimize.overlap_recompute_comm : 0.000003s : 0.00% optimize.overlap_grad_ring_attention : 0.000034s : 0.00% optimize.overlap_grad_flash_sp : 0.000103s : 0.00% 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 : 0.000028s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000066s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000083s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000043s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000070s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000001s : 0.00% detach_backward : 0.000005s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000184s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.001041s : 0.01% validate : 0.000282s : 0.00% Time group info: ------[substitution.] 0.324849 2026 42.72% : 0.138779s : 6: substitution.arithmetic_simplify 0.02% : 0.000054s : 4: substitution.cast_eliminate 0.01% : 0.000031s : 17: substitution.depend_value_elim 0.00% : 0.000012s : 29: substitution.elim_not_effective 0.00% : 0.000016s : 5: substitution.environ_get_add_eliminate 0.00% : 0.000010s : 3: substitution.environ_get_depend_swap 0.01% : 0.000022s : 9: substitution.environ_get_eliminate 0.01% : 0.000028s : 5: substitution.environ_get_set_eliminate 0.01% : 0.000016s : 13: substitution.float_depend_g_call 0.00% : 0.000006s : 4: substitution.float_environ_get_switch 0.01% : 0.000035s : 12: substitution.float_tuple_getitem_switch 0.00% : 0.000009s : 29: substitution.fold_const_symbol 0.78% : 0.002522s : 13: substitution.getattr_setattr_resolve 0.01% : 0.000028s : 40: substitution.graph_param_transform 0.00% : 0.000010s : 4: substitution.incorporate_call 0.00% : 0.000003s : 4: substitution.incorporate_call_switch 2.67% : 0.008678s : 155: substitution.inline 0.03% : 0.000090s : 10: substitution.inline_without_move 0.02% : 0.000056s : 102: substitution.j_node_and_user_rematch 0.04% : 0.000123s : 11: substitution.less_batch_normalization 0.02% : 0.000065s : 84: substitution.load_eliminater 0.04% : 0.000123s : 75: substitution.minmaximum_grad 0.02% : 0.000059s : 13: substitution.partial_eliminate 0.02% : 0.000060s : 102: substitution.remove_not_recompute_node 0.08% : 0.000267s : 83: substitution.replace_applicator 0.01% : 0.000046s : 63: substitution.replace_old_param 0.01% : 0.000026s : 2: substitution.set_cell_output_no_recompute 0.00% : 0.000012s : 2: substitution.specialize_transform 0.00% : 0.000013s : 8: substitution.split_environ_get_set_with_tuple_value 0.03% : 0.000089s : 26: substitution.switch_simplify 0.09% : 0.000291s : 89: substitution.tuple_list_convert_item_index_to_positive 0.04% : 0.000145s : 103: substitution.tuple_list_get_item_const_eliminator 0.13% : 0.000410s : 103: substitution.tuple_list_get_item_depend_reorder 0.21% : 0.000681s : 178: substitution.tuple_list_get_item_eliminator 0.06% : 0.000204s : 103: substitution.tuple_list_get_set_item_eliminator 0.01% : 0.000018s : 2: substitution.tuple_list_set_item_eliminator 52.72% : 0.171273s : 240: substitution.updatestate_pure_node_eliminater 0.17% : 0.000541s : 275: substitution.updatestate_useless_node_eliminater ------[type_inference.] 8.557066 2 95.44% : 8.166809s : 1: type_inference.infer 4.56% : 0.390257s : 1: type_inference.specialize ------[replace.] 0.004759 284 1.16% : 0.000055s : 1: replace.arithmetic_simplify 1.38% : 0.000066s : 4: replace.cast_eliminate 2.16% : 0.000103s : 8: replace.depend_value_elim 0.89% : 0.000042s : 2: replace.environ_get_set_eliminate 11.15% : 0.000531s : 10: replace.getattr_setattr_resolve 43.30% : 0.002061s : 142: replace.inline 0.96% : 0.000045s : 2: replace.partial_eliminate 3.44% : 0.000164s : 7: replace.replace_applicator 9.68% : 0.000461s : 26: replace.switch_simplify 5.89% : 0.000280s : 16: replace.tuple_list_get_item_depend_reorder 19.65% : 0.000935s : 65: replace.tuple_list_get_item_eliminator 0.35% : 0.000017s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.150231 284 92.31% : 0.138685s : 1: match.arithmetic_simplify 0.03% : 0.000048s : 4: match.cast_eliminate 0.00% : 0.000003s : 8: match.depend_value_elim 0.01% : 0.000020s : 2: match.environ_get_set_eliminate 1.58% : 0.002370s : 10: match.getattr_setattr_resolve 5.65% : 0.008484s : 142: match.inline 0.02% : 0.000026s : 2: match.partial_eliminate 0.04% : 0.000058s : 7: match.replace_applicator 0.05% : 0.000075s : 26: match.switch_simplify 0.14% : 0.000216s : 16: match.tuple_list_get_item_depend_reorder 0.15% : 0.000228s : 65: match.tuple_list_get_item_eliminator 0.01% : 0.000017s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.007240 41997 1.05% : 0.000076s : 523: predicate.accumulaten_eliminater 0.19% : 0.000014s : 40: predicate.ad_related_special_op_eliminate 0.39% : 0.000029s : 209: predicate.addn_check_dump 1.02% : 0.000074s : 523: predicate.addn_zero_filter 0.95% : 0.000069s : 523: predicate.adjust_all_reduce_mul_add 1.86% : 0.000135s : 733: predicate.arithmetic_simplify 1.05% : 0.000076s : 528: predicate.cast_eliminate 1.41% : 0.000102s : 672: predicate.check_bprop_eliminate 0.39% : 0.000028s : 209: predicate.compare_switch_simplify 0.04% : 0.000003s : 40: predicate.const_output_eliminate 0.44% : 0.000032s : 216: predicate.depend_value_elim 1.07% : 0.000077s : 530: predicate.dict_get_item_const_eliminator 1.09% : 0.000079s : 530: predicate.dict_get_item_eliminator 1.37% : 0.000099s : 530: predicate.dict_set_item_eliminator 0.19% : 0.000014s : 80: predicate.dumpgradient_eliminate 0.05% : 0.000003s : 40: predicate.elim_not_effective 0.11% : 0.000008s : 40: predicate.elim_shapecalc_of_broadcastargs 2.13% : 0.000154s : 568: predicate.environ_add_const_eliminate 1.05% : 0.000076s : 570: predicate.environ_get_add_eliminate 1.04% : 0.000075s : 568: predicate.environ_get_depend_swap 1.49% : 0.000108s : 779: predicate.environ_get_eliminate 1.04% : 0.000075s : 570: predicate.environ_get_set_eliminate 1.47% : 0.000106s : 756: predicate.exchange_switch_depend_value 2.09% : 0.000151s : 756: predicate.float_depend_g_call 0.40% : 0.000029s : 209: predicate.float_environ_get_switch 0.51% : 0.000037s : 249: predicate.float_tuple_getitem_switch 0.04% : 0.000003s : 40: predicate.fold_const_symbol 0.32% : 0.000023s : 140: predicate.get_grad_eliminate 0.32% : 0.000023s : 71: predicate.getattr_setattr_resolve 0.04% : 0.000003s : 40: predicate.graph_param_transform 0.38% : 0.000028s : 209: predicate.incorporate_call 0.36% : 0.000026s : 209: predicate.incorporate_call_switch 5.46% : 0.000395s : 1708: predicate.inline 0.88% : 0.000064s : 303: predicate.inline_without_move 0.14% : 0.000010s : 140: predicate.j_node_and_user_rematch 0.44% : 0.000032s : 163: predicate.less_batch_normalization 1.39% : 0.000101s : 691: predicate.list_to_tuple_eliminator_ 2.36% : 0.000171s : 1216: predicate.load_eliminater 0.22% : 0.000016s : 40: predicate.loop_unroll_after_grad 3.26% : 0.000236s : 956: predicate.loop_unroll_before_grad 1.20% : 0.000087s : 626: predicate.make_slice_get_slice_eliminator 0.41% : 0.000030s : 209: predicate.merge_addn 1.25% : 0.000090s : 644: predicate.micro_step_allgather_replace 1.29% : 0.000094s : 644: predicate.mini_step_allgather_replace 1.02% : 0.000074s : 524: predicate.minmaximum_grad 0.24% : 0.000017s : 40: predicate.mutable_eliminate 0.09% : 0.000006s : 40: predicate.opt_reshape 0.09% : 0.000006s : 40: predicate.parallel_virtual_node 3.17% : 0.000229s : 756: predicate.partial_defer_inline 1.46% : 0.000105s : 653: predicate.partial_eliminate 1.00% : 0.000073s : 523: predicate.print_const_string_wrapper 0.37% : 0.000027s : 200: predicate.reduce_all_const_elim 1.48% : 0.000107s : 524: predicate.reduce_eliminate 2.30% : 0.000167s : 1216: predicate.redundant_stop_gradient_eliminater 0.14% : 0.000010s : 140: predicate.remove_not_recompute_node 1.61% : 0.000117s : 1269: predicate.replace_applicator 0.33% : 0.000024s : 303: predicate.replace_old_param 0.05% : 0.000004s : 40: predicate.reset_defer_inline 1.09% : 0.000079s : 524: predicate.reshape_eliminate 1.40% : 0.000101s : 644: predicate.row_tensor_add_zeros_like 0.09% : 0.000006s : 40: predicate.row_tensor_eliminate 3.87% : 0.000280s : 672: predicate.same_eliminate 0.21% : 0.000015s : 192: predicate.set_cell_output_no_recompute 0.66% : 0.000048s : 140: predicate.shard_identity_eliminate 0.17% : 0.000012s : 80: predicate.special_op_eliminate 0.47% : 0.000034s : 209: predicate.specialize_transform 1.87% : 0.000135s : 644: predicate.split_environ_get_set_with_tuple_value 0.69% : 0.000050s : 303: predicate.stack_unstack_eliminate 0.08% : 0.000006s : 40: predicate.switch_call_monad_eliminater 1.59% : 0.000115s : 756: predicate.switch_defer_inline 2.84% : 0.000206s : 1428: predicate.switch_layer_defer_inline 7.54% : 0.000546s : 2013: predicate.switch_simplify 1.03% : 0.000074s : 524: predicate.tile_eliminate 1.02% : 0.000074s : 524: predicate.transpose_eliminate 1.29% : 0.000093s : 610: predicate.tuple_list_convert_item_index_to_positive 1.44% : 0.000104s : 626: predicate.tuple_list_get_item_const_eliminator 1.24% : 0.000090s : 626: predicate.tuple_list_get_item_depend_reorder 2.93% : 0.000212s : 900: predicate.tuple_list_get_item_eliminator 1.31% : 0.000095s : 626: predicate.tuple_list_get_set_item_eliminator 2.32% : 0.000168s : 835: predicate.tuple_list_set_item_eliminator 1.47% : 0.000107s : 691: predicate.tuple_to_list_eliminator_ 2.40% : 0.000174s : 1216: predicate.updatestate_pure_node_eliminater 3.08% : 0.000223s : 1426: predicate.updatestate_useless_node_eliminater 0.09% : 0.000006s : 40: predicate.value_based_eliminate 0.39% : 0.000028s : 140: predicate.virtual_dataset_eliminate 0.27% : 0.000020s : 140: predicate.virtual_output_eliminate 0.08% : 0.000006s : 40: predicate.virtual_view_grad_eliminate 0.08% : 0.000006s : 40: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.209264 357 16.37% : 0.034262s : 177: func_graph_cloner_run.FuncGraphClonerGraph 0.08% : 0.000175s : 3: func_graph_cloner_run.FuncGraphClonerNode 83.54% : 0.174826s : 177: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 14.425485 264 0.00% : 0.000004s : 1: ForceFp32Comm 1.19% : 0.171639s : 1: add_attr 1.19% : 0.171560s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.00% : 0.000304s : 1: add_recomputation 0.00% : 0.000005s : 1: assign_add_opt 0.03% : 0.003746s : 1: auto_monad 0.00% : 0.000195s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: begin_end_overlap_inline 0.00% : 0.000009s : 1: bias_add_comm_swap 0.03% : 0.003697s : 1: bootstrap 0.00% : 0.000067s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000094s : 1: control_data_broadcast_order 0.00% : 0.000052s : 1: convert_after_rewriter 0.00% : 0.000251s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000008s : 1: detach_backward 0.00% : 0.000052s : 1: environ_conv 0.00% : 0.000528s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000008s : 1: get_jit_bprop_graph 0.00% : 0.000111s : 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% : 0.000009s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000006s : 1: interleave_split_concat_branches 0.00% : 0.000007s : 1: label_fine_grained_interleaved_index 0.00% : 0.000015s : 1: label_micro_interleaved_index 0.01% : 0.000883s : 1: loop_unroll 0.00% : 0.000006s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.01% : 0.000952s : 1: mutable_eliminate 0.00% : 0.000024s : 1: offloading_packed_experts 0.00% : 0.000079s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000080s : 1: opt.transform.mutable_eliminate 4.08% : 0.588187s : 142: opt.transform.opt_a 0.00% : 0.000306s : 1: opt.transform.opt_after_cconv 0.00% : 0.000159s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.001127s : 28: opt.transform.opt_b 0.02% : 0.003270s : 6: opt.transform.opt_resolve 0.00% : 0.000418s : 2: opt.transform.opt_trans_graph 0.00% : 0.000255s : 4: opt.transform.symbol_engine_opt 14.12% : 2.036535s : 1: opt_a 0.00% : 0.000686s : 1: opt_after_cconv 0.01% : 0.001063s : 1: opt_after_jit_grad 0.01% : 0.001584s : 1: opt_b 14.21% : 2.049446s : 1: optimize 0.00% : 0.000088s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000032s : 1: order_py_execute_after_rewriter 0.00% : 0.000110s : 1: overlap_grad_flash_sp 0.00% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000038s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000076s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000011s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000023s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000009s : 1: parallel-infer-symbol 0.00% : 0.000005s : 1: parallel-infer-symbol-second 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.00% : 0.000510s : 1: pre_auto_parallel 0.00% : 0.000550s : 1: py_interpret_to_execute 0.00% : 0.000075s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000162s : 1: remove_dup_value 3.63% : 0.523388s : 2: renormalize.infer 2.06% : 0.297686s : 2: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000532s : 1: rewriter_after_opt_a 0.04% : 0.005082s : 1: rewriter_before_opt_a 0.00% : 0.000008s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000006s : 1: slice_recompute_activation 0.00% : 0.000004s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000042s : 1: swap_dp_allreduce_reducescatter 0.00% : 0.000352s : 1: symbol_engine_optimizer 0.00% : 0.000477s : 1: tuple_transform 59.33% : 8.558677s : 1: type_inference . [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_group2_graph_compile tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_group2_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_group2_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 246.79s (0:04:06) ==================