[WARNING] ME(169108:281473278828336,MainProcess):2026-01-29-17:41:18.646.425 [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_003/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 = 7.19737, [21] [bootstrap]: 0.00202662 [type_inference]: 5.78542 [event_method]: 0.00049411 [auto_monad]: 0.00241677 [graph_reusing]: 0.00010139 [inline]: 2.84001e-06 [add_attr]: 0.0895899, [1] [add_attr_with_inline]: 0.0895115, [1] [Cycle 1]: 0.00081277, [2] [tag_attr]: 0.00049257 [meta_addattr_fg_expand]: 0.00017257 [parallel-infer-symbol]: 5.58002e-06 [pre_auto_parallel]: 0.00053444 [insert-virtual-dataset]: 3.3e-06 [parallel-infer-symbol-second]: 1.72001e-06 [dataset_repeat_opt]: 2.82002e-06 [pipeline_split]: 1.79e-06 [optimize]: 1.31492, [53] [py_interpret_to_execute]: 0.00053889 [rewriter_before_opt_a]: 0.00422125 [opt_a]: 1.18504, [3] [Cycle 1]: 1.05643, [45] [expand_dump_flag]: 5.899e-05 [switch_simplify]: 0.00147262 [loop_unroll]: 0.00063429 [a_1]: 0.12997 [with_stream_mark]: 0.00035483 [recompute_prepare]: 0.00012068 [updatestate_depend_eliminate]: 0.00067463 [updatestate_assign_eliminate]: 5.723e-05 [updatestate_loads_eliminate]: 0.00013065 [parameter_eliminate]: 4.97e-06 [a_2]: 0.00201213 [accelerated_algorithm]: 0.00019235 [shard]: 3.43e-06 [meta_shard_fg_expand]: 4.971e-05 [shard_inline]: 6.874e-05 [merge_send_recv]: 5.569e-05 [auto_parallel]: 4.4e-05 [parallel]: 0.00023567 [flash_sp]: 3.852e-05 [merge_comm]: 4.567e-05 [allreduce_fusion]: 3.607e-05 [matmul_add_comm_reduction]: 8.835e-05 [allreduce_slice_to_reducescatter]: 1.04e-06 [virtual_shard_identity]: 7.043e-05 [virtual_dataset]: 5.802e-05 [get_grad_eliminate_]: 5.75e-05 [virtual_output]: 5.501e-05 [merge_forward]: 3.71e-05 [cell_reuse_recompute_pass]: 3.81001e-06 [offload_activation]: 6.168e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00011522 [merge_recompute_call_nodes]: 2.01e-06 [before_grad]: 0.0001041 [set_forward_comm_id_for_comm_node_pass]: 4.354e-05 [meta_fg_expand]: 0.293692 [flash_sp_send_recv_attached]: 1.078e-05 [receive_attached]: 2.04e-05 [after_resolve]: 0.00035199 [a_after_grad]: 0.00060552 [renormalize]: 0.503966 [add_forward_monad_depend]: 0.113699 [auto_monad_grad]: 6.81e-05 [auto_monad_eliminator]: 0.0006902 [cse]: 0.00114487 [a_3]: 0.00441776 [Cycle 2]: 0.124471, [45] [expand_dump_flag]: 1.215e-05 [switch_simplify]: 0.00122525 [loop_unroll]: 0.00029671 [a_1]: 0.109599 [with_stream_mark]: 0.00017687 [recompute_prepare]: 6.519e-05 [updatestate_depend_eliminate]: 8.184e-05 [updatestate_assign_eliminate]: 3.299e-05 [updatestate_loads_eliminate]: 0.00010756 [parameter_eliminate]: 4.03001e-06 [a_2]: 0.00074321 [accelerated_algorithm]: 6.057e-05 [shard]: 2.88e-06 [meta_shard_fg_expand]: 2.394e-05 [shard_inline]: 4.062e-05 [merge_send_recv]: 3.935e-05 [auto_parallel]: 3.466e-05 [parallel]: 1.3e-05 [flash_sp]: 6.01e-06 [merge_comm]: 2.633e-05 [allreduce_fusion]: 2.422e-05 [matmul_add_comm_reduction]: 4.003e-05 [allreduce_slice_to_reducescatter]: 8.00006e-07 [virtual_shard_identity]: 4.446e-05 [virtual_dataset]: 4.087e-05 [get_grad_eliminate_]: 4.103e-05 [virtual_output]: 3.882e-05 [merge_forward]: 2.452e-05 [cell_reuse_recompute_pass]: 2.90998e-06 [offload_activation]: 4.309e-05 [cell_reuse_handle_not_recompute_node_pass]: 8.189e-05 [merge_recompute_call_nodes]: 1.52001e-06 [before_grad]: 6.98e-05 [set_forward_comm_id_for_comm_node_pass]: 2.821e-05 [meta_fg_expand]: 0.00054949 [flash_sp_send_recv_attached]: 3.95e-06 [receive_attached]: 3.63999e-06 [after_resolve]: 8.079e-05 [a_after_grad]: 6.951e-05 [renormalize]: 0.00725224 [add_forward_monad_depend]: 1.53e-05 [auto_monad_grad]: 3.52002e-06 [auto_monad_eliminator]: 0.00014157 [cse]: 0.00226208 [a_3]: 0.00032099 [Cycle 3]: 0.00410358, [45] [expand_dump_flag]: 4.68001e-06 [switch_simplify]: 4.486e-05 [loop_unroll]: 3.985e-05 [a_1]: 0.00138593 [with_stream_mark]: 6.015e-05 [recompute_prepare]: 4.731e-05 [updatestate_depend_eliminate]: 3.227e-05 [updatestate_assign_eliminate]: 2.737e-05 [updatestate_loads_eliminate]: 3.233e-05 [parameter_eliminate]: 2.60002e-06 [a_2]: 0.00064905 [accelerated_algorithm]: 6.074e-05 [shard]: 3.87998e-06 [meta_shard_fg_expand]: 1.611e-05 [shard_inline]: 4.239e-05 [merge_send_recv]: 3.674e-05 [auto_parallel]: 3.483e-05 [parallel]: 1.212e-05 [flash_sp]: 2.57001e-06 [merge_comm]: 2.584e-05 [allreduce_fusion]: 2.497e-05 [matmul_add_comm_reduction]: 3.984e-05 [allreduce_slice_to_reducescatter]: 1.05001e-06 [virtual_shard_identity]: 4.61e-05 [virtual_dataset]: 4.064e-05 [get_grad_eliminate_]: 3.993e-05 [virtual_output]: 3.901e-05 [merge_forward]: 2.385e-05 [cell_reuse_recompute_pass]: 3.71999e-06 [offload_activation]: 4.223e-05 [cell_reuse_handle_not_recompute_node_pass]: 7.715e-05 [merge_recompute_call_nodes]: 1.52001e-06 [before_grad]: 7.179e-05 [set_forward_comm_id_for_comm_node_pass]: 2.755e-05 [meta_fg_expand]: 1.771e-05 [flash_sp_send_recv_attached]: 2.17999e-06 [receive_attached]: 2.75002e-06 [after_resolve]: 5.61e-05 [a_after_grad]: 8.259e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 5.59e-06 [auto_monad_grad]: 3.28998e-06 [auto_monad_eliminator]: 0.00012395 [cse]: 0.00016045 [a_3]: 0.00028896 [py_interpret_to_execute_after_opt_a]: 5.923e-05 [slice_cell_reuse_recomputed_activation]: 2.67001e-06 [rewriter_after_opt_a]: 0.00065227 [convert_after_rewriter]: 7.334e-05 [order_py_execute_after_rewriter]: 2.619e-05 [mutable_eliminate]: 0.00091659 [opt_b]: 0.00145044, [1] [Cycle 1]: 0.00143906, [7] [b_1]: 0.00104943 [b_2]: 4.733e-05 [updatestate_depend_eliminate]: 4.59e-05 [updatestate_assign_eliminate]: 3.441e-05 [updatestate_loads_eliminate]: 3.361e-05 [renormalize]: 8.80013e-07 [cse]: 0.00016661 [optimize_parallel_all_gather_comm]: 0.117737 [overlap_param_gather]: 5.553e-05 [cconv]: 6.979e-05 [loop_unroll]: 0.00092791 [opt_after_cconv]: 0.00069343, [1] [Cycle 1]: 0.00068298, [7] [c_1]: 0.00030272 [parameter_eliminate]: 6.92002e-06 [updatestate_depend_eliminate]: 5.326e-05 [updatestate_assign_eliminate]: 3.666e-05 [updatestate_loads_eliminate]: 4.605e-05 [cse]: 0.00018202 [renormalize]: 7.7e-07 [remove_dup_value]: 0.0001513 [tuple_transform]: 0.00049448, [1] [Cycle 1]: 0.00048688, [4] [d_1]: 0.00040091 [none_parameter_eliminate]: 3.66999e-06 [renormalize]: 2.89991e-07 [switch_simplify]: 4.437e-05 [partial_unused_args_eliminate]: 2.42001e-06 [add_recomputation]: 0.00029972 [cse_after_recomputation]: 0.00016749, [1] [Cycle 1]: 0.00015772, [1] [cse]: 0.00014128 [environ_conv]: 5.278e-05 [swap_dp_allreduce_reducescatter]: 3.524e-05 [bias_add_comm_swap]: 3.86001e-06 [label_micro_interleaved_index]: 9.24998e-06 [label_fine_grained_interleaved_index]: 3.68999e-06 [merge_cast_opt]: 1.99999e-06 [slice_recompute_activation]: 2.69999e-06 [micro_interleaved_order_control]: 2.99999e-06 [assign_add_opt]: 1.36998e-06 [ForceFp32Comm]: 1.35999e-06 [remove_cast_before_assign_add]: 1.49e-06 [full_micro_interleaved_order_control]: 2.98e-06 [reorder_send_recv_between_fp_bp]: 3.14999e-06 [comm_op_add_attrs]: 1.22e-06 [add_comm_op_reuse_tag]: 1.34998e-06 [interleave_split_concat_branches]: 1.22e-06 [interleave_parallel_branches]: 1.32999e-06 [overlap_opt_shard_in_pipeline]: 7.75e-05 [overlap_opt_shard_grad_in_pipeline]: 2.36e-06 [control_data_broadcast_order]: 8.225e-05 [grouped_pairwise_exchange_alltoall]: 1.72001e-06 [offloading_packed_experts]: 2.226e-05 [overlap_recompute_and_grad_model_parallel]: 1.766e-05 [overlap_grad_matmul_and_grad_allreduce]: 1.44e-06 [overlap_recompute_allgather_and_fa_grad]: 1.72999e-06 [overlap_recompute_comm]: 2.93e-06 [overlap_grad_ring_attention]: 1.705e-05 [overlap_grad_flash_sp]: 0.0001273 [begin_end_overlap_inline]: 5.69999e-07 [split_matmul_comm_elemetwise]: 2.70997e-06 [split_layernorm_comm]: 2.54999e-06 [handle_group_info]: 1.12e-06 [symbol_engine_optimizer]: 0.00034236, [1] [Cycle 1]: 0.00033373, [6] [build]: 3.042e-05 [elim_shapecalc]: 6.372e-05 [elim_not_effective]: 8.03e-05 [opt_reshape]: 4.687e-05 [fold_const_symbol]: 6.733e-05 [renormalize]: 2.60014e-07 [detach_backward]: 2.86e-06 [pipeline_parallel_scheduler]: 1.49e-06 [auto_monad_reorder]: 0.00013317 [get_jit_bprop_graph]: 2.33998e-06 [rewriter_after_jit_bprop_graph]: 9.12999e-06 [opt_after_jit_grad]: 0.00106797 [validate]: 0.00029556 Sums bootstrap : 0.002027s : 0.03% type_inference : 5.785420s : 81.42% event_method : 0.000494s : 0.01% auto_monad : 0.002417s : 0.03% graph_reusing : 0.000101s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000493s : 0.01% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000173s : 0.00% parallel-infer-symbol : 0.000006s : 0.00% pre_auto_parallel : 0.000534s : 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 : 0.000539s : 0.01% optimize.rewriter_before_opt_a : 0.004221s : 0.06% optimize.opt_a.expand_dump_flag : 0.000076s : 0.00% optimize.opt_a.switch_simplify : 0.002743s : 0.04% optimize.opt_a.loop_unroll : 0.000971s : 0.01% optimize.opt_a.a_1 : 0.240955s : 3.39% optimize.opt_a.with_stream_mark : 0.000592s : 0.01% optimize.opt_a.recompute_prepare : 0.000233s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000789s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000118s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000271s : 0.00% optimize.opt_a.parameter_eliminate : 0.000012s : 0.00% optimize.opt_a.a_2 : 0.003404s : 0.05% optimize.opt_a.accelerated_algorithm : 0.000314s : 0.00% optimize.opt_a.shard : 0.000010s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000090s : 0.00% optimize.opt_a.shard_inline : 0.000152s : 0.00% optimize.opt_a.merge_send_recv : 0.000132s : 0.00% optimize.opt_a.auto_parallel : 0.000113s : 0.00% optimize.opt_a.parallel : 0.000261s : 0.00% optimize.opt_a.flash_sp : 0.000047s : 0.00% optimize.opt_a.merge_comm : 0.000098s : 0.00% optimize.opt_a.allreduce_fusion : 0.000085s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000168s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000003s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000161s : 0.00% optimize.opt_a.virtual_dataset : 0.000140s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000138s : 0.00% optimize.opt_a.virtual_output : 0.000133s : 0.00% optimize.opt_a.merge_forward : 0.000085s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000010s : 0.00% optimize.opt_a.offload_activation : 0.000147s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000274s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000005s : 0.00% optimize.opt_a.before_grad : 0.000246s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000099s : 0.00% optimize.opt_a.meta_fg_expand : 0.294260s : 4.14% optimize.opt_a.flash_sp_send_recv_attached : 0.000017s : 0.00% optimize.opt_a.receive_attached : 0.000027s : 0.00% optimize.opt_a.after_resolve : 0.000489s : 0.01% optimize.opt_a.a_after_grad : 0.000758s : 0.01% optimize.opt_a.renormalize : 0.511218s : 7.19% optimize.opt_a.add_forward_monad_depend : 0.113720s : 1.60% optimize.opt_a.auto_monad_grad : 0.000075s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000956s : 0.01% optimize.opt_a.cse : 0.003567s : 0.05% optimize.opt_a.a_3 : 0.005028s : 0.07% optimize.py_interpret_to_execute_after_opt_a : 0.000059s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000652s : 0.01% optimize.convert_after_rewriter : 0.000073s : 0.00% optimize.order_py_execute_after_rewriter : 0.000026s : 0.00% optimize.mutable_eliminate : 0.000917s : 0.01% optimize.opt_b.b_1 : 0.001049s : 0.01% optimize.opt_b.b_2 : 0.000047s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000046s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000034s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000034s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000167s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.117737s : 1.66% optimize.overlap_param_gather : 0.000056s : 0.00% optimize.cconv : 0.000070s : 0.00% optimize.loop_unroll : 0.000928s : 0.01% optimize.opt_after_cconv.c_1 : 0.000303s : 0.00% optimize.opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000053s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000037s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000046s : 0.00% optimize.opt_after_cconv.cse : 0.000182s : 0.00% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000151s : 0.00% optimize.tuple_transform.d_1 : 0.000401s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000004s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000044s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000300s : 0.00% optimize.cse_after_recomputation.cse : 0.000141s : 0.00% optimize.environ_conv : 0.000053s : 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 : 0.000009s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000004s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000003s : 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 : 0.000003s : 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 : 0.000077s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000082s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000022s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000018s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 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 : 0.000017s : 0.00% optimize.overlap_grad_flash_sp : 0.000127s : 0.00% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000003s : 0.00% optimize.split_layernorm_comm : 0.000003s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000030s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000064s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000080s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000047s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000067s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000003s : 0.00% pipeline_parallel_scheduler : 0.000001s : 0.00% auto_monad_reorder : 0.000133s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.001068s : 0.02% validate : 0.000296s : 0.00% Time group info: ------[substitution.] 0.014589 1937 0.77% : 0.000112s : 6: substitution.arithmetic_simplify 0.32% : 0.000047s : 3: substitution.cast_eliminate 0.19% : 0.000028s : 14: substitution.depend_value_elim 0.07% : 0.000010s : 29: substitution.elim_not_effective 0.09% : 0.000013s : 4: substitution.environ_get_add_eliminate 0.03% : 0.000005s : 2: substitution.environ_get_depend_swap 0.11% : 0.000016s : 8: substitution.environ_get_eliminate 0.20% : 0.000030s : 4: substitution.environ_get_set_eliminate 0.12% : 0.000018s : 12: substitution.float_depend_g_call 0.03% : 0.000005s : 4: substitution.float_environ_get_switch 0.16% : 0.000024s : 12: substitution.float_tuple_getitem_switch 0.06% : 0.000009s : 29: substitution.fold_const_symbol 17.65% : 0.002575s : 13: substitution.getattr_setattr_resolve 0.19% : 0.000027s : 39: substitution.graph_param_transform 0.05% : 0.000007s : 4: substitution.incorporate_call 0.02% : 0.000003s : 4: substitution.incorporate_call_switch 54.62% : 0.007969s : 169: substitution.inline 0.62% : 0.000091s : 10: substitution.inline_without_move 0.30% : 0.000043s : 102: substitution.j_node_and_user_rematch 0.68% : 0.000100s : 13: substitution.less_batch_normalization 0.27% : 0.000040s : 1: substitution.list_to_tuple_eliminator_ 0.33% : 0.000049s : 56: substitution.load_eliminater 1.23% : 0.000179s : 70: substitution.minmaximum_grad 0.02% : 0.000003s : 1: substitution.opt_reshape 0.33% : 0.000048s : 12: substitution.partial_eliminate 0.39% : 0.000057s : 102: substitution.remove_not_recompute_node 2.06% : 0.000301s : 83: substitution.replace_applicator 0.28% : 0.000041s : 57: substitution.replace_old_param 0.74% : 0.000108s : 12: substitution.reshape_eliminate 0.04% : 0.000006s : 2: substitution.set_cell_output_no_recompute 0.05% : 0.000007s : 2: substitution.specialize_transform 0.10% : 0.000014s : 8: substitution.split_environ_get_set_with_tuple_value 0.51% : 0.000075s : 31: substitution.switch_simplify 3.06% : 0.000447s : 108: substitution.tuple_list_convert_item_index_to_positive 1.06% : 0.000154s : 116: substitution.tuple_list_get_item_const_eliminator 2.52% : 0.000368s : 116: substitution.tuple_list_get_item_depend_reorder 4.81% : 0.000702s : 194: substitution.tuple_list_get_item_eliminator 1.44% : 0.000210s : 116: substitution.tuple_list_get_set_item_eliminator 0.12% : 0.000018s : 2: substitution.tuple_list_set_item_eliminator 1.42% : 0.000207s : 170: substitution.updatestate_pure_node_eliminater 2.91% : 0.000424s : 197: substitution.updatestate_useless_node_eliminater ------[type_inference.] 5.784101 2 95.21% : 5.507301s : 1: type_inference.infer 4.79% : 0.276800s : 1: type_inference.specialize ------[replace.] 0.004500 298 0.39% : 0.000017s : 1: replace.arithmetic_simplify 0.80% : 0.000036s : 3: replace.cast_eliminate 0.89% : 0.000040s : 5: replace.depend_value_elim 1.09% : 0.000049s : 2: replace.environ_get_set_eliminate 5.13% : 0.000231s : 10: replace.getattr_setattr_resolve 48.45% : 0.002181s : 156: replace.inline 0.55% : 0.000025s : 1: replace.list_to_tuple_eliminator_ 1.08% : 0.000049s : 2: replace.partial_eliminate 4.06% : 0.000182s : 7: replace.replace_applicator 0.27% : 0.000012s : 1: replace.reshape_eliminate 11.10% : 0.000500s : 31: replace.switch_simplify 3.61% : 0.000162s : 10: replace.tuple_list_get_item_depend_reorder 22.21% : 0.001000s : 68: replace.tuple_list_get_item_eliminator 0.38% : 0.000017s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.010989 298 0.55% : 0.000060s : 1: match.arithmetic_simplify 0.40% : 0.000044s : 3: match.cast_eliminate 0.02% : 0.000002s : 5: match.depend_value_elim 0.21% : 0.000023s : 2: match.environ_get_set_eliminate 22.04% : 0.002422s : 10: match.getattr_setattr_resolve 71.01% : 0.007803s : 156: match.inline 0.34% : 0.000037s : 1: match.list_to_tuple_eliminator_ 0.25% : 0.000027s : 2: match.partial_eliminate 0.59% : 0.000065s : 7: match.replace_applicator 0.07% : 0.000007s : 1: match.reshape_eliminate 0.53% : 0.000059s : 31: match.switch_simplify 1.20% : 0.000132s : 10: match.tuple_list_get_item_depend_reorder 2.64% : 0.000290s : 68: match.tuple_list_get_item_eliminator 0.16% : 0.000018s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.080146 39503 0.09% : 0.000074s : 471: predicate.accumulaten_eliminater 0.02% : 0.000014s : 39: predicate.ad_related_special_op_eliminate 0.03% : 0.000026s : 202: predicate.addn_check_dump 0.08% : 0.000065s : 471: predicate.addn_zero_filter 0.08% : 0.000067s : 471: predicate.adjust_all_reduce_mul_add 0.17% : 0.000133s : 674: predicate.arithmetic_simplify 0.08% : 0.000068s : 476: predicate.cast_eliminate 0.12% : 0.000094s : 668: predicate.check_bprop_eliminate 0.03% : 0.000027s : 202: predicate.compare_switch_simplify 0.00% : 0.000003s : 39: predicate.const_output_eliminate 0.04% : 0.000029s : 207: predicate.depend_value_elim 92.32% : 0.073990s : 478: predicate.dict_get_item_const_eliminator 0.10% : 0.000080s : 478: predicate.dict_get_item_eliminator 0.08% : 0.000067s : 478: predicate.dict_set_item_eliminator 0.02% : 0.000013s : 78: predicate.dumpgradient_eliminate 0.00% : 0.000003s : 39: predicate.elim_not_effective 0.01% : 0.000006s : 39: predicate.elim_shapecalc_of_broadcastargs 0.09% : 0.000070s : 515: predicate.environ_add_const_eliminate 0.09% : 0.000070s : 517: predicate.environ_get_add_eliminate 0.09% : 0.000073s : 515: predicate.environ_get_depend_swap 0.13% : 0.000107s : 719: predicate.environ_get_eliminate 0.09% : 0.000070s : 517: predicate.environ_get_set_eliminate 0.13% : 0.000103s : 716: predicate.exchange_switch_depend_value 0.19% : 0.000154s : 716: predicate.float_depend_g_call 0.03% : 0.000027s : 202: predicate.float_environ_get_switch 0.04% : 0.000033s : 241: predicate.float_tuple_getitem_switch 0.00% : 0.000003s : 39: predicate.fold_const_symbol 0.02% : 0.000019s : 137: predicate.get_grad_eliminate 0.03% : 0.000021s : 71: predicate.getattr_setattr_resolve 0.00% : 0.000003s : 39: predicate.graph_param_transform 0.03% : 0.000027s : 202: predicate.incorporate_call 0.03% : 0.000026s : 202: predicate.incorporate_call_switch 0.41% : 0.000332s : 1604: predicate.inline 0.08% : 0.000065s : 300: predicate.inline_without_move 0.01% : 0.000010s : 137: predicate.j_node_and_user_rematch 0.04% : 0.000030s : 154: predicate.less_batch_normalization 0.12% : 0.000097s : 635: predicate.list_to_tuple_eliminator_ 0.20% : 0.000159s : 1108: predicate.load_eliminater 0.02% : 0.000012s : 39: predicate.loop_unroll_after_grad 0.24% : 0.000191s : 1012: predicate.loop_unroll_before_grad 0.10% : 0.000080s : 566: predicate.make_slice_get_slice_eliminator 0.03% : 0.000028s : 202: predicate.merge_addn 0.11% : 0.000087s : 640: predicate.micro_step_allgather_replace 0.11% : 0.000088s : 640: predicate.mini_step_allgather_replace 0.08% : 0.000067s : 472: predicate.minmaximum_grad 0.01% : 0.000012s : 39: predicate.mutable_eliminate 0.01% : 0.000005s : 39: predicate.opt_reshape 0.01% : 0.000006s : 39: predicate.parallel_virtual_node 0.25% : 0.000197s : 716: predicate.partial_defer_inline 0.12% : 0.000099s : 598: predicate.partial_eliminate 0.09% : 0.000068s : 471: predicate.print_const_string_wrapper 0.03% : 0.000027s : 196: predicate.reduce_all_const_elim 0.12% : 0.000099s : 472: predicate.reduce_eliminate 0.21% : 0.000170s : 1108: predicate.redundant_stop_gradient_eliminater 0.01% : 0.000010s : 137: predicate.remove_not_recompute_node 0.14% : 0.000111s : 1211: predicate.replace_applicator 0.03% : 0.000023s : 300: predicate.replace_old_param 0.00% : 0.000003s : 39: predicate.reset_defer_inline 0.09% : 0.000069s : 473: predicate.reshape_eliminate 0.12% : 0.000093s : 640: predicate.row_tensor_add_zeros_like 0.01% : 0.000007s : 39: predicate.row_tensor_eliminate 0.13% : 0.000103s : 668: predicate.same_eliminate 0.02% : 0.000015s : 178: predicate.set_cell_output_no_recompute 0.03% : 0.000020s : 137: predicate.shard_identity_eliminate 0.01% : 0.000012s : 78: predicate.special_op_eliminate 0.04% : 0.000031s : 202: predicate.specialize_transform 0.12% : 0.000094s : 640: predicate.split_environ_get_set_with_tuple_value 0.07% : 0.000053s : 300: predicate.stack_unstack_eliminate 0.01% : 0.000006s : 39: predicate.switch_call_monad_eliminater 0.14% : 0.000112s : 716: predicate.switch_defer_inline 0.25% : 0.000199s : 1384: predicate.switch_layer_defer_inline 0.49% : 0.000391s : 2031: predicate.switch_simplify 0.08% : 0.000065s : 472: predicate.tile_eliminate 0.08% : 0.000063s : 472: predicate.transpose_eliminate 0.12% : 0.000095s : 556: predicate.tuple_list_convert_item_index_to_positive 0.11% : 0.000092s : 566: predicate.tuple_list_get_item_const_eliminator 0.11% : 0.000090s : 566: predicate.tuple_list_get_item_depend_reorder 0.23% : 0.000184s : 836: predicate.tuple_list_get_item_eliminator 0.11% : 0.000088s : 566: predicate.tuple_list_get_set_item_eliminator 0.16% : 0.000127s : 768: predicate.tuple_list_set_item_eliminator 0.12% : 0.000093s : 634: predicate.tuple_to_list_eliminator_ 0.19% : 0.000156s : 1108: predicate.updatestate_pure_node_eliminater 0.24% : 0.000192s : 1311: predicate.updatestate_useless_node_eliminater 0.01% : 0.000006s : 39: predicate.value_based_eliminate 0.03% : 0.000020s : 137: predicate.virtual_dataset_eliminate 0.02% : 0.000019s : 137: predicate.virtual_output_eliminate 0.01% : 0.000005s : 39: predicate.virtual_view_grad_eliminate 0.01% : 0.000006s : 39: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.192348 375 94.70% : 0.182147s : 186: func_graph_cloner_run.FuncGraphClonerGraph 5.30% : 0.010201s : 189: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 9.373648 264 0.00% : 0.000004s : 1: ForceFp32Comm 0.96% : 0.089599s : 1: add_attr 0.96% : 0.089518s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.00% : 0.000315s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.03% : 0.002451s : 1: auto_monad 0.00% : 0.000141s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.02% : 0.002078s : 1: bootstrap 0.00% : 0.000075s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.00% : 0.000088s : 1: control_data_broadcast_order 0.00% : 0.000081s : 1: convert_after_rewriter 0.00% : 0.000172s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000059s : 1: environ_conv 0.01% : 0.000518s : 1: event_method 0.00% : 0.000006s : 1: full_micro_interleaved_order_control 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000114s : 1: graph_reusing 0.00% : 0.000006s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000007s : 1: inline 0.00% : 0.000008s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000007s : 1: label_fine_grained_interleaved_index 0.00% : 0.000012s : 1: label_micro_interleaved_index 0.01% : 0.000942s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.01% : 0.000934s : 1: mutable_eliminate 0.00% : 0.000025s : 1: offloading_packed_experts 0.00% : 0.000077s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000069s : 1: opt.transform.mutable_eliminate 2.73% : 0.255776s : 142: opt.transform.opt_a 0.00% : 0.000300s : 1: opt.transform.opt_after_cconv 0.00% : 0.000162s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.001057s : 28: opt.transform.opt_b 0.03% : 0.003041s : 6: opt.transform.opt_resolve 0.00% : 0.000438s : 2: opt.transform.opt_trans_graph 0.00% : 0.000252s : 4: opt.transform.symbol_engine_opt 12.64% : 1.185047s : 1: opt_a 0.01% : 0.000699s : 1: opt_after_cconv 0.01% : 0.001095s : 1: opt_after_jit_grad 0.02% : 0.001455s : 1: opt_b 14.03% : 1.314932s : 1: optimize 1.26% : 0.117780s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000031s : 1: order_py_execute_after_rewriter 0.00% : 0.000135s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000020s : 1: overlap_grad_ring_attention 0.00% : 0.000007s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000086s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000065s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000021s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000011s : 1: parallel-infer-symbol 0.00% : 0.000005s : 1: parallel-infer-symbol-second 0.00% : 0.000009s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.01% : 0.000548s : 1: pre_auto_parallel 0.01% : 0.000573s : 1: py_interpret_to_execute 0.00% : 0.000066s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000005s : 1: remove_cast_before_assign_add 0.00% : 0.000160s : 1: remove_dup_value 5.21% : 0.488777s : 2: renormalize.infer 0.24% : 0.022389s : 2: renormalize.specialize 0.00% : 0.000007s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000664s : 1: rewriter_after_opt_a 0.05% : 0.004253s : 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% : 0.000006s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000039s : 1: swap_dp_allreduce_reducescatter 0.00% : 0.000345s : 1: symbol_engine_optimizer 0.01% : 0.000498s : 1: tuple_transform 61.72% : 5.785466s : 1: type_inference . [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_graph_compile tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_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_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 349.75s (0:05:49) ==================