==================================================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/graph_kernel, configfile: ../../../../../../sault/virtual_test/virtualenv_004/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_dvm.py [WARNING] ME(165498:281473307586352,MainProcess):2026-01-29-17:37:35.154.529 [mindspore/context.py:1334] For 'context.set_context', the parameter 'save_graphs' will be deprecated and removed in a future version. Please use the env MS_DEV_SAVE_GRAPHS instead. [WARNING] ME(165498:281473307586352,MainProcess):2026-01-29-17:37:35.155.016 [mindspore/context.py:1334] For 'context.set_context', the parameter 'save_graphs_path' will be deprecated and removed in a future version. Please use the env MS_DEV_SAVE_GRAPHS_PATH instead. [WARNING] PIPELINE(165498,ffff9c832f30,python3.9):2026-01-29-17:37:36.881.816 [mindspore/ccsrc/frontend/jit/ps/validator.cc:244] CheckAssignReturnValue] Deprecated: the return value of Assign/AssignAdd/AssignSub operator will be removed in subsequent releases. You can modify the code from: a = P.Assign()(param, value) b = a * 2 to: P.Assign()(param, value) b = param * 2 Please check your code:In file /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:9741, 11~37 return assign_op(variable, value) ^~~~~~~~~~~~~~~~~~~~~~~~~~ TotalTime = 0.814955, [21] [bootstrap]: 0.00060038 [type_inference]: 0.515709 [event_method]: 4.074e-05 [auto_monad]: 0.00025686 [graph_reusing]: 1.074e-05 [inline]: 4.60001e-06 [add_attr]: 0.0343497, [1] [add_attr_with_inline]: 0.0343089, [1] [Cycle 1]: 8.709e-05, [2] [tag_attr]: 2.091e-05 [meta_addattr_fg_expand]: 5.25999e-06 [parallel-infer-symbol]: 7.71999e-06 [pre_auto_parallel]: 6.029e-05 [insert-virtual-dataset]: 9.77001e-06 [parallel-infer-symbol-second]: 6.09001e-06 [dataset_repeat_opt]: 5.37999e-06 [pipeline_split]: 4.90001e-06 [optimize]: 0.148212, [53] [py_interpret_to_execute]: 0.00097188 [rewriter_before_opt_a]: 0.0008733 [opt_a]: 0.0313051, [2] [Cycle 1]: 0.0167264, [45] [expand_dump_flag]: 6.16998e-06 [switch_simplify]: 5.156e-05 [loop_unroll]: 2.805e-05 [a_1]: 0.00067964 [with_stream_mark]: 2.691e-05 [recompute_prepare]: 1.639e-05 [updatestate_depend_eliminate]: 6.76999e-06 [updatestate_assign_eliminate]: 1.184e-05 [updatestate_loads_eliminate]: 5.34e-06 [parameter_eliminate]: 3.21999e-06 [a_2]: 0.00017828 [accelerated_algorithm]: 1.667e-05 [shard]: 2.50002e-06 [meta_shard_fg_expand]: 3.46999e-06 [shard_inline]: 1.298e-05 [merge_send_recv]: 2.681e-05 [auto_parallel]: 1.41e-05 [parallel]: 3.952e-05 [flash_sp]: 2.36e-05 [merge_comm]: 7.93001e-06 [allreduce_fusion]: 5.99e-06 [matmul_add_comm_reduction]: 1.499e-05 [allreduce_slice_to_reducescatter]: 1.25999e-06 [virtual_shard_identity]: 1.663e-05 [virtual_dataset]: 1.263e-05 [get_grad_eliminate_]: 1.189e-05 [virtual_output]: 1.176e-05 [merge_forward]: 7.08998e-06 [cell_reuse_recompute_pass]: 2.05002e-06 [offload_activation]: 1.443e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.542e-05 [merge_recompute_call_nodes]: 1.77001e-06 [before_grad]: 2.075e-05 [set_forward_comm_id_for_comm_node_pass]: 6.98e-06 [meta_fg_expand]: 4.55001e-06 [flash_sp_send_recv_attached]: 3.23e-06 [receive_attached]: 2.588e-05 [after_resolve]: 2.149e-05 [a_after_grad]: 2.084e-05 [renormalize]: 0.0147987 [add_forward_monad_depend]: 1.086e-05 [auto_monad_grad]: 2.76999e-06 [auto_monad_eliminator]: 3.199e-05 [cse]: 4.802e-05 [a_3]: 0.00010206 [Cycle 2]: 0.0137176, [45] [expand_dump_flag]: 2.70997e-06 [switch_simplify]: 1.724e-05 [loop_unroll]: 1.259e-05 [a_1]: 0.00033457 [with_stream_mark]: 2.472e-05 [recompute_prepare]: 1.432e-05 [updatestate_depend_eliminate]: 7.75e-06 [updatestate_assign_eliminate]: 8.1e-06 [updatestate_loads_eliminate]: 5.25999e-06 [parameter_eliminate]: 2.32999e-06 [a_2]: 0.00017228 [accelerated_algorithm]: 1.377e-05 [shard]: 2.27001e-06 [meta_shard_fg_expand]: 3.19001e-06 [shard_inline]: 1.315e-05 [merge_send_recv]: 1.349e-05 [auto_parallel]: 1.146e-05 [parallel]: 1.22e-05 [flash_sp]: 5.11002e-06 [merge_comm]: 6.89999e-06 [allreduce_fusion]: 6.11998e-06 [matmul_add_comm_reduction]: 1.437e-05 [allreduce_slice_to_reducescatter]: 8.39995e-07 [virtual_shard_identity]: 1.555e-05 [virtual_dataset]: 1.209e-05 [get_grad_eliminate_]: 1.237e-05 [virtual_output]: 1.233e-05 [merge_forward]: 6.96001e-06 [cell_reuse_recompute_pass]: 3.26001e-06 [offload_activation]: 1.544e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.79e-05 [merge_recompute_call_nodes]: 1.86998e-06 [before_grad]: 2.118e-05 [set_forward_comm_id_for_comm_node_pass]: 6.94999e-06 [meta_fg_expand]: 4.68999e-06 [flash_sp_send_recv_attached]: 2.22999e-06 [receive_attached]: 2.57001e-06 [after_resolve]: 1.973e-05 [a_after_grad]: 1.774e-05 [renormalize]: 5.9983e-08 [add_forward_monad_depend]: 2.36e-06 [auto_monad_grad]: 1.94e-06 [auto_monad_eliminator]: 2e-05 [cse]: 0.0123717 [a_3]: 0.00012701 [py_interpret_to_execute_after_opt_a]: 0.00049881 [slice_cell_reuse_recomputed_activation]: 0.00053177 [rewriter_after_opt_a]: 0.00062101 [convert_after_rewriter]: 0.00049307 [order_py_execute_after_rewriter]: 0.00045848 [mutable_eliminate]: 0.0138996 [opt_b]: 0.0009611, [1] [Cycle 1]: 0.00046705, [7] [b_1]: 0.00032369 [b_2]: 1.707e-05 [updatestate_depend_eliminate]: 1.277e-05 [updatestate_assign_eliminate]: 8.1e-06 [updatestate_loads_eliminate]: 5.66e-06 [renormalize]: 1.09e-06 [cse]: 4.584e-05 [optimize_parallel_all_gather_comm]: 0.00045399 [overlap_param_gather]: 0.00041924 [cconv]: 0.00045723 [loop_unroll]: 0.0138236 [opt_after_cconv]: 0.0006912, [1] [Cycle 1]: 0.00023859, [7] [c_1]: 0.00011375 [parameter_eliminate]: 4.99003e-06 [updatestate_depend_eliminate]: 1.286e-05 [updatestate_assign_eliminate]: 8.37998e-06 [updatestate_loads_eliminate]: 5.81e-06 [cse]: 4.561e-05 [renormalize]: 7.29982e-07 [remove_dup_value]: 0.00042784 [tuple_transform]: 0.00055822, [1] [Cycle 1]: 0.00014204, [4] [d_1]: 9.665e-05 [none_parameter_eliminate]: 2.94999e-06 [renormalize]: 5.00004e-07 [switch_simplify]: 1.34e-05 [partial_unused_args_eliminate]: 0.00039787 [add_recomputation]: 0.01311 [cse_after_recomputation]: 0.00066965, [1] [Cycle 1]: 9.149e-05, [1] [cse]: 7.135e-05 [environ_conv]: 0.00061503 [swap_dp_allreduce_reducescatter]: 0.00047303 [bias_add_comm_swap]: 0.0004231 [label_micro_interleaved_index]: 0.00042771 [label_fine_grained_interleaved_index]: 0.00043372 [merge_cast_opt]: 0.0130361 [slice_recompute_activation]: 0.00048705 [micro_interleaved_order_control]: 0.00046074 [assign_add_opt]: 0.00042614 [ForceFp32Comm]: 0.0003997 [remove_cast_before_assign_add]: 0.00040563 [full_micro_interleaved_order_control]: 0.00040878 [reorder_send_recv_between_fp_bp]: 0.00040848 [comm_op_add_attrs]: 0.0129722 [add_comm_op_reuse_tag]: 0.0006546 [interleave_split_concat_branches]: 0.00049467 [interleave_parallel_branches]: 0.00046446 [overlap_opt_shard_in_pipeline]: 0.00048404 [overlap_opt_shard_grad_in_pipeline]: 0.00047741 [control_data_broadcast_order]: 0.0004923 [grouped_pairwise_exchange_alltoall]: 0.0129239 [offloading_packed_experts]: 0.00066511 [overlap_recompute_and_grad_model_parallel]: 0.0004451 [overlap_grad_matmul_and_grad_allreduce]: 0.00041439 [overlap_recompute_allgather_and_fa_grad]: 0.00040594 [overlap_recompute_comm]: 0.00040522 [overlap_grad_ring_attention]: 0.0004165 [overlap_grad_flash_sp]: 0.00044058 [begin_end_overlap_inline]: 0.0128677 [split_matmul_comm_elemetwise]: 0.0006314 [split_layernorm_comm]: 0.00045585 [handle_group_info]: 0.00044772 [symbol_engine_optimizer]: 0.0006474, [1] [Cycle 1]: 0.00016669, [6] [build]: 7.14001e-06 [elim_shapecalc]: 4.134e-05 [elim_not_effective]: 3.38e-05 [opt_reshape]: 1.42e-05 [fold_const_symbol]: 2.153e-05 [renormalize]: 9.80013e-07 [detach_backward]: 6.72002e-06 [pipeline_parallel_scheduler]: 4.97e-06 [auto_monad_reorder]: 7.213e-05 [get_jit_bprop_graph]: 5.65001e-06 [rewriter_after_jit_bprop_graph]: 9.00001e-06 [opt_after_jit_grad]: 0.00086003 [validate]: 0.00034626 Sums bootstrap : 0.000600s : 0.09% type_inference : 0.515709s : 78.00% event_method : 0.000041s : 0.01% auto_monad : 0.000257s : 0.04% graph_reusing : 0.000011s : 0.00% inline : 0.000005s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000021s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000005s : 0.00% parallel-infer-symbol : 0.000008s : 0.00% pre_auto_parallel : 0.000060s : 0.01% insert-virtual-dataset : 0.000010s : 0.00% parallel-infer-symbol-second : 0.000006s : 0.00% dataset_repeat_opt : 0.000005s : 0.00% pipeline_split : 0.000005s : 0.00% optimize.py_interpret_to_execute : 0.000972s : 0.15% optimize.rewriter_before_opt_a : 0.000873s : 0.13% optimize.opt_a.expand_dump_flag : 0.000009s : 0.00% optimize.opt_a.switch_simplify : 0.000069s : 0.01% optimize.opt_a.loop_unroll : 0.000041s : 0.01% optimize.opt_a.a_1 : 0.001014s : 0.15% optimize.opt_a.with_stream_mark : 0.000052s : 0.01% optimize.opt_a.recompute_prepare : 0.000031s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000015s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000020s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000011s : 0.00% optimize.opt_a.parameter_eliminate : 0.000006s : 0.00% optimize.opt_a.a_2 : 0.000351s : 0.05% optimize.opt_a.accelerated_algorithm : 0.000030s : 0.00% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000007s : 0.00% optimize.opt_a.shard_inline : 0.000026s : 0.00% optimize.opt_a.merge_send_recv : 0.000040s : 0.01% optimize.opt_a.auto_parallel : 0.000026s : 0.00% optimize.opt_a.parallel : 0.000052s : 0.01% optimize.opt_a.flash_sp : 0.000029s : 0.00% optimize.opt_a.merge_comm : 0.000015s : 0.00% optimize.opt_a.allreduce_fusion : 0.000012s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000029s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000032s : 0.00% optimize.opt_a.virtual_dataset : 0.000025s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000024s : 0.00% optimize.opt_a.virtual_output : 0.000024s : 0.00% optimize.opt_a.merge_forward : 0.000014s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% optimize.opt_a.offload_activation : 0.000030s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000063s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000004s : 0.00% optimize.opt_a.before_grad : 0.000042s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000014s : 0.00% optimize.opt_a.meta_fg_expand : 0.000009s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000005s : 0.00% optimize.opt_a.receive_attached : 0.000028s : 0.00% optimize.opt_a.after_resolve : 0.000041s : 0.01% optimize.opt_a.a_after_grad : 0.000039s : 0.01% optimize.opt_a.renormalize : 0.014799s : 2.24% optimize.opt_a.add_forward_monad_depend : 0.000013s : 0.00% optimize.opt_a.auto_monad_grad : 0.000005s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000052s : 0.01% optimize.opt_a.cse : 0.012420s : 1.88% optimize.opt_a.a_3 : 0.000229s : 0.03% optimize.py_interpret_to_execute_after_opt_a : 0.000499s : 0.08% optimize.slice_cell_reuse_recomputed_activation : 0.000532s : 0.08% optimize.rewriter_after_opt_a : 0.000621s : 0.09% optimize.convert_after_rewriter : 0.000493s : 0.07% optimize.order_py_execute_after_rewriter : 0.000458s : 0.07% optimize.mutable_eliminate : 0.013900s : 2.10% optimize.opt_b.b_1 : 0.000324s : 0.05% optimize.opt_b.b_2 : 0.000017s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000013s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000008s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000006s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000046s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000454s : 0.07% optimize.overlap_param_gather : 0.000419s : 0.06% optimize.cconv : 0.000457s : 0.07% optimize.loop_unroll : 0.013824s : 2.09% optimize.opt_after_cconv.c_1 : 0.000114s : 0.02% optimize.opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000006s : 0.00% optimize.opt_after_cconv.cse : 0.000046s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000428s : 0.06% optimize.tuple_transform.d_1 : 0.000097s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000003s : 0.00% optimize.tuple_transform.renormalize : 0.000001s : 0.00% optimize.tuple_transform.switch_simplify : 0.000013s : 0.00% optimize.partial_unused_args_eliminate : 0.000398s : 0.06% optimize.add_recomputation : 0.013110s : 1.98% optimize.cse_after_recomputation.cse : 0.000071s : 0.01% optimize.environ_conv : 0.000615s : 0.09% optimize.swap_dp_allreduce_reducescatter : 0.000473s : 0.07% optimize.bias_add_comm_swap : 0.000423s : 0.06% optimize.label_micro_interleaved_index : 0.000428s : 0.06% optimize.label_fine_grained_interleaved_index : 0.000434s : 0.07% optimize.merge_cast_opt : 0.013036s : 1.97% optimize.slice_recompute_activation : 0.000487s : 0.07% optimize.micro_interleaved_order_control : 0.000461s : 0.07% optimize.assign_add_opt : 0.000426s : 0.06% optimize.ForceFp32Comm : 0.000400s : 0.06% optimize.remove_cast_before_assign_add : 0.000406s : 0.06% optimize.full_micro_interleaved_order_control : 0.000409s : 0.06% optimize.reorder_send_recv_between_fp_bp : 0.000408s : 0.06% optimize.comm_op_add_attrs : 0.012972s : 1.96% optimize.add_comm_op_reuse_tag : 0.000655s : 0.10% optimize.interleave_split_concat_branches : 0.000495s : 0.07% optimize.interleave_parallel_branches : 0.000464s : 0.07% optimize.overlap_opt_shard_in_pipeline : 0.000484s : 0.07% optimize.overlap_opt_shard_grad_in_pipeline : 0.000477s : 0.07% optimize.control_data_broadcast_order : 0.000492s : 0.07% optimize.grouped_pairwise_exchange_alltoall : 0.012924s : 1.95% optimize.offloading_packed_experts : 0.000665s : 0.10% optimize.overlap_recompute_and_grad_model_parallel : 0.000445s : 0.07% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000414s : 0.06% optimize.overlap_recompute_allgather_and_fa_grad : 0.000406s : 0.06% optimize.overlap_recompute_comm : 0.000405s : 0.06% optimize.overlap_grad_ring_attention : 0.000416s : 0.06% optimize.overlap_grad_flash_sp : 0.000441s : 0.07% optimize.begin_end_overlap_inline : 0.012868s : 1.95% optimize.split_matmul_comm_elemetwise : 0.000631s : 0.10% optimize.split_layernorm_comm : 0.000456s : 0.07% optimize.handle_group_info : 0.000448s : 0.07% optimize.symbol_engine_optimizer.build : 0.000007s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000041s : 0.01% optimize.symbol_engine_optimizer.elim_not_effective : 0.000034s : 0.01% optimize.symbol_engine_optimizer.opt_reshape : 0.000014s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000022s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000001s : 0.00% detach_backward : 0.000007s : 0.00% pipeline_parallel_scheduler : 0.000005s : 0.00% auto_monad_reorder : 0.000072s : 0.01% get_jit_bprop_graph : 0.000006s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.000860s : 0.13% validate : 0.000346s : 0.05% Time group info: ------[substitution.] 0.000302 63 3.81% : 0.000012s : 2: substitution.depend_value_elim 1.22% : 0.000004s : 5: substitution.elim_not_effective 1.09% : 0.000003s : 5: substitution.fold_const_symbol 3.75% : 0.000011s : 8: substitution.graph_param_transform 58.66% : 0.000177s : 3: substitution.inline 2.25% : 0.000007s : 10: substitution.j_node_and_user_rematch 7.35% : 0.000022s : 10: substitution.remove_not_recompute_node 2.77% : 0.000008s : 4: substitution.replace_old_param 5.91% : 0.000018s : 2: substitution.transpose_eliminate 6.89% : 0.000021s : 6: substitution.updatestate_pure_node_eliminater 6.30% : 0.000019s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.515626 2 99.68% : 0.513988s : 1: type_inference.infer 0.32% : 0.001638s : 1: type_inference.specialize ------[replace.] 0.000035 3 100.00% : 0.000035s : 3: replace.inline ------[match.] 0.000174 3 100.00% : 0.000174s : 3: match.inline ------[predicate.] 0.000404 1955 0.84% : 0.000003s : 18: predicate.accumulaten_eliminater 1.17% : 0.000005s : 8: predicate.ad_related_special_op_eliminate 0.62% : 0.000003s : 16: predicate.addn_check_dump 0.82% : 0.000003s : 18: predicate.addn_zero_filter 0.68% : 0.000003s : 18: predicate.adjust_all_reduce_mul_add 1.83% : 0.000007s : 34: predicate.arithmetic_simplify 0.84% : 0.000003s : 18: predicate.cast_eliminate 0.80% : 0.000003s : 16: predicate.check_bprop_eliminate 0.67% : 0.000003s : 16: predicate.compare_switch_simplify 0.22% : 0.000001s : 8: predicate.const_output_eliminate 0.81% : 0.000003s : 16: predicate.depend_value_elim 0.84% : 0.000003s : 18: predicate.dict_get_item_const_eliminator 0.92% : 0.000004s : 18: predicate.dict_get_item_eliminator 0.81% : 0.000003s : 18: predicate.dict_set_item_eliminator 1.27% : 0.000005s : 16: predicate.dumpgradient_eliminate 0.36% : 0.000001s : 8: predicate.elim_not_effective 1.08% : 0.000004s : 8: predicate.elim_shapecalc_of_broadcastargs 1.30% : 0.000005s : 26: predicate.environ_add_const_eliminate 1.15% : 0.000005s : 26: predicate.environ_get_add_eliminate 0.98% : 0.000004s : 26: predicate.environ_get_depend_swap 1.76% : 0.000007s : 42: predicate.environ_get_eliminate 0.96% : 0.000004s : 26: predicate.environ_get_set_eliminate 0.86% : 0.000003s : 21: predicate.exchange_switch_depend_value 1.47% : 0.000006s : 21: predicate.float_depend_g_call 0.64% : 0.000003s : 16: predicate.float_environ_get_switch 0.95% : 0.000004s : 24: predicate.float_tuple_getitem_switch 0.19% : 0.000001s : 8: predicate.fold_const_symbol 0.86% : 0.000003s : 16: predicate.get_grad_eliminate 0.29% : 0.000001s : 8: predicate.graph_param_transform 0.74% : 0.000003s : 16: predicate.incorporate_call 0.60% : 0.000002s : 16: predicate.incorporate_call_switch 5.52% : 0.000022s : 87: predicate.inline 1.07% : 0.000004s : 16: predicate.inline_without_move 0.38% : 0.000002s : 16: predicate.j_node_and_user_rematch 1.02% : 0.000004s : 16: predicate.less_batch_normalization 1.66% : 0.000007s : 34: predicate.list_to_tuple_eliminator_ 2.02% : 0.000008s : 52: predicate.load_eliminater 2.09% : 0.000008s : 8: predicate.loop_unroll_after_grad 1.45% : 0.000006s : 33: predicate.loop_unroll_before_grad 1.84% : 0.000007s : 34: predicate.make_slice_get_slice_eliminator 0.69% : 0.000003s : 16: predicate.merge_addn 0.68% : 0.000003s : 16: predicate.micro_step_allgather_replace 0.76% : 0.000003s : 16: predicate.mini_step_allgather_replace 0.82% : 0.000003s : 18: predicate.minmaximum_grad 2.34% : 0.000009s : 8: predicate.mutable_eliminate 0.50% : 0.000002s : 8: predicate.opt_reshape 0.46% : 0.000002s : 8: predicate.parallel_virtual_node 1.24% : 0.000005s : 21: predicate.partial_defer_inline 1.19% : 0.000005s : 26: predicate.partial_eliminate 0.79% : 0.000003s : 18: predicate.print_const_string_wrapper 0.81% : 0.000003s : 16: predicate.reduce_all_const_elim 0.96% : 0.000004s : 18: predicate.reduce_eliminate 2.21% : 0.000009s : 52: predicate.redundant_stop_gradient_eliminater 0.48% : 0.000002s : 16: predicate.remove_not_recompute_node 1.42% : 0.000006s : 34: predicate.replace_applicator 0.59% : 0.000002s : 16: predicate.replace_old_param 0.40% : 0.000002s : 8: predicate.reset_defer_inline 0.79% : 0.000003s : 18: predicate.reshape_eliminate 0.74% : 0.000003s : 16: predicate.row_tensor_add_zeros_like 0.47% : 0.000002s : 8: predicate.row_tensor_eliminate 1.29% : 0.000005s : 16: predicate.same_eliminate 0.58% : 0.000002s : 16: predicate.set_cell_output_no_recompute 1.07% : 0.000004s : 16: predicate.shard_identity_eliminate 0.73% : 0.000003s : 16: predicate.special_op_eliminate 0.81% : 0.000003s : 16: predicate.specialize_transform 1.31% : 0.000005s : 16: predicate.split_environ_get_set_with_tuple_value 0.97% : 0.000004s : 16: predicate.stack_unstack_eliminate 0.46% : 0.000002s : 8: predicate.switch_call_monad_eliminater 0.98% : 0.000004s : 21: predicate.switch_defer_inline 1.73% : 0.000007s : 37: predicate.switch_layer_defer_inline 4.10% : 0.000017s : 78: predicate.switch_simplify 0.89% : 0.000004s : 18: predicate.tile_eliminate 0.80% : 0.000003s : 18: predicate.transpose_eliminate 1.53% : 0.000006s : 34: predicate.tuple_list_convert_item_index_to_positive 1.69% : 0.000007s : 34: predicate.tuple_list_get_item_const_eliminator 1.50% : 0.000006s : 34: predicate.tuple_list_get_item_depend_reorder 2.93% : 0.000012s : 50: predicate.tuple_list_get_item_eliminator 1.48% : 0.000006s : 34: predicate.tuple_list_get_set_item_eliminator 2.35% : 0.000009s : 50: predicate.tuple_list_set_item_eliminator 1.65% : 0.000007s : 34: predicate.tuple_to_list_eliminator_ 2.21% : 0.000009s : 52: predicate.updatestate_pure_node_eliminater 3.02% : 0.000012s : 68: predicate.updatestate_useless_node_eliminater 0.49% : 0.000002s : 8: predicate.value_based_eliminate 0.82% : 0.000003s : 16: predicate.virtual_dataset_eliminate 0.81% : 0.000003s : 16: predicate.virtual_output_eliminate 0.31% : 0.000001s : 8: predicate.virtual_view_grad_eliminate 0.77% : 0.000003s : 8: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.010607 19 94.63% : 0.010037s : 14: func_graph_cloner_run.FuncGraphClonerGraph 5.37% : 0.000570s : 5: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.014233 192 0.04% : 0.000411s : 1: ForceFp32Comm 3.47% : 0.035191s : 1: add_attr 3.38% : 0.034328s : 1: add_attr_with_inline 0.07% : 0.000673s : 1: add_comm_op_reuse_tag 1.30% : 0.013138s : 1: add_recomputation 0.04% : 0.000436s : 1: assign_add_opt 0.11% : 0.001082s : 1: auto_monad 0.06% : 0.000655s : 1: auto_monad_reorder 1.27% : 0.012895s : 1: begin_end_overlap_inline 0.04% : 0.000434s : 1: bias_add_comm_swap 0.11% : 0.001111s : 1: bootstrap 0.05% : 0.000469s : 1: cconv 1.28% : 0.013001s : 1: comm_op_add_attrs 0.05% : 0.000505s : 1: control_data_broadcast_order 0.05% : 0.000506s : 1: convert_after_rewriter 0.07% : 0.000686s : 1: cse_after_recomputation 0.08% : 0.000808s : 1: dataset_repeat_opt 0.05% : 0.000507s : 1: detach_backward 0.06% : 0.000629s : 1: environ_conv 0.09% : 0.000949s : 1: event_method 0.04% : 0.000419s : 1: full_micro_interleaved_order_control 0.05% : 0.000478s : 1: get_jit_bprop_graph 0.07% : 0.000721s : 1: graph_reusing 1.28% : 0.012952s : 1: grouped_pairwise_exchange_alltoall 0.05% : 0.000461s : 1: handle_group_info 1.31% : 0.013237s : 1: inline 0.08% : 0.000783s : 1: insert-virtual-dataset 0.05% : 0.000477s : 1: interleave_parallel_branches 0.05% : 0.000510s : 1: interleave_split_concat_branches 0.04% : 0.000446s : 1: label_fine_grained_interleaved_index 0.04% : 0.000439s : 1: label_micro_interleaved_index 1.36% : 0.013840s : 1: loop_unroll 1.29% : 0.013061s : 1: merge_cast_opt 0.05% : 0.000471s : 1: micro_interleaved_order_control 1.37% : 0.013915s : 1: mutable_eliminate 0.07% : 0.000679s : 1: offloading_packed_experts 0.00% : 0.000042s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000048s : 1: opt.transform.mutable_eliminate 0.19% : 0.001925s : 78: opt.transform.opt_a 0.01% : 0.000110s : 1: opt.transform.opt_after_cconv 0.01% : 0.000058s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.000298s : 28: opt.transform.opt_b 0.01% : 0.000105s : 2: opt.transform.opt_trans_graph 0.01% : 0.000101s : 4: opt.transform.symbol_engine_opt 3.09% : 0.031323s : 1: opt_a 0.07% : 0.000704s : 1: opt_after_cconv 1.37% : 0.013912s : 1: opt_after_jit_grad 0.10% : 0.000974s : 1: opt_b 14.69% : 0.148977s : 1: optimize 0.05% : 0.000465s : 1: optimize_parallel_all_gather_comm 0.05% : 0.000471s : 1: order_py_execute_after_rewriter 0.04% : 0.000451s : 1: overlap_grad_flash_sp 0.04% : 0.000425s : 1: overlap_grad_matmul_and_grad_allreduce 0.04% : 0.000427s : 1: overlap_grad_ring_attention 0.05% : 0.000493s : 1: overlap_opt_shard_grad_in_pipeline 0.05% : 0.000498s : 1: overlap_opt_shard_in_pipeline 0.04% : 0.000431s : 1: overlap_param_gather 0.04% : 0.000416s : 1: overlap_recompute_allgather_and_fa_grad 0.05% : 0.000456s : 1: overlap_recompute_and_grad_model_parallel 0.04% : 0.000415s : 1: overlap_recompute_comm 0.08% : 0.000795s : 1: parallel-infer-symbol 0.07% : 0.000748s : 1: parallel-infer-symbol-second 0.04% : 0.000408s : 1: partial_unused_args_eliminate 1.30% : 0.013178s : 1: pipeline_parallel_scheduler 1.29% : 0.013127s : 1: pipeline_split 1.32% : 0.013395s : 1: pre_auto_parallel 0.10% : 0.000994s : 1: py_interpret_to_execute 0.05% : 0.000512s : 1: py_interpret_to_execute_after_opt_a 0.04% : 0.000415s : 1: remove_cast_before_assign_add 0.04% : 0.000438s : 1: remove_dup_value 1.38% : 0.014024s : 1: renormalize.infer 0.08% : 0.000761s : 1: renormalize.specialize 0.04% : 0.000419s : 1: reorder_send_recv_between_fp_bp 0.05% : 0.000457s : 1: rewriter_after_jit_bprop_graph 0.06% : 0.000634s : 1: rewriter_after_opt_a 0.09% : 0.000888s : 1: rewriter_before_opt_a 0.05% : 0.000544s : 1: slice_cell_reuse_recomputed_activation 0.05% : 0.000501s : 1: slice_recompute_activation 0.05% : 0.000471s : 1: split_layernorm_comm 0.06% : 0.000647s : 1: split_matmul_comm_elemetwise 0.05% : 0.000485s : 1: swap_dp_allreduce_reducescatter 0.07% : 0.000660s : 1: symbol_engine_optimizer 0.06% : 0.000569s : 1: tuple_transform 54.66% : 0.554337s : 1: type_inference [WARNING] ME(165498:281473307586352,MainProcess):2026-01-29-17:40:46.854.266 [mindspore/context.py:1334] For 'context.set_context', the parameter 'save_graphs' will be deprecated and removed in a future version. Please use the env MS_DEV_SAVE_GRAPHS instead. . [hook] pytest_runtest_teardown:test_fuse_virtual_node tests/st/graph_kernel/test_dvm.py::test_fuse_virtual_node,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_dvm.py::test_fuse_virtual_node /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 238.95s (0:03:58) ==================