[WARNING] ME(167863:281473595051824,MainProcess):2026-01-29-17:37:32.619.22 [mindspore/context.py:1334] For 'context.set_context', the parameter 'max_call_depth' will be deprecated and removed in a future version. Please use the api mindspore.set_recursion_limit() instead. [WARNING] ME(167863:281473595051824,MainProcess):2026-01-29-17:37:32.638.49 [mindspore/context.py:1334] For 'context.set_context', the parameter 'max_call_depth' will be deprecated and removed in a future version. Please use the api mindspore.set_recursion_limit() 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/runtime/kernel_capture, 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_capture_graph.py TotalTime = 1.53228, [21] [bootstrap]: 0.00091405 [type_inference]: 1.38438 [event_method]: 8.297e-05 [auto_monad]: 0.00035841 [graph_reusing]: 1.178e-05 [inline]: 3.08e-06 [add_attr]: 0.00731988, [1] [add_attr_with_inline]: 0.00730325, [1] [Cycle 1]: 0.00017193, [2] [tag_attr]: 6.986e-05 [meta_addattr_fg_expand]: 1.514e-05 [parallel-infer-symbol]: 4.3e-06 [pre_auto_parallel]: 0.00010139 [insert-virtual-dataset]: 2.91999e-06 [parallel-infer-symbol-second]: 1.04e-06 [dataset_repeat_opt]: 2.55002e-06 [pipeline_split]: 2.04e-06 [optimize]: 0.13799, [53] [py_interpret_to_execute]: 7.248e-05 [rewriter_before_opt_a]: 0.00025831 [opt_a]: 0.133134, [2] [Cycle 1]: 0.130823, [45] [expand_dump_flag]: 5.82001e-06 [switch_simplify]: 0.00024271 [loop_unroll]: 7.34e-05 [a_1]: 0.00187815 [with_stream_mark]: 4.078e-05 [recompute_prepare]: 3.634e-05 [updatestate_depend_eliminate]: 0.120093 [updatestate_assign_eliminate]: 5.332e-05 [updatestate_loads_eliminate]: 2.26e-05 [parameter_eliminate]: 7.68001e-06 [a_2]: 0.00115896 [accelerated_algorithm]: 7.274e-05 [shard]: 3.64002e-06 [meta_shard_fg_expand]: 1.3e-05 [shard_inline]: 2.666e-05 [merge_send_recv]: 2.248e-05 [auto_parallel]: 2.435e-05 [parallel]: 6.274e-05 [flash_sp]: 1.748e-05 [merge_comm]: 1.614e-05 [allreduce_fusion]: 1.429e-05 [matmul_add_comm_reduction]: 2.711e-05 [allreduce_slice_to_reducescatter]: 8.60018e-07 [virtual_shard_identity]: 2.876e-05 [virtual_dataset]: 2.691e-05 [get_grad_eliminate_]: 2.585e-05 [virtual_output]: 2.557e-05 [merge_forward]: 1.476e-05 [cell_reuse_recompute_pass]: 3.75998e-06 [offload_activation]: 2.555e-05 [cell_reuse_handle_not_recompute_node_pass]: 5.282e-05 [merge_recompute_call_nodes]: 1.72001e-06 [before_grad]: 4.213e-05 [set_forward_comm_id_for_comm_node_pass]: 1.509e-05 [meta_fg_expand]: 1.389e-05 [flash_sp_send_recv_attached]: 5.72001e-06 [receive_attached]: 3.31001e-06 [after_resolve]: 2.957e-05 [a_after_grad]: 3.65e-05 [renormalize]: 0.00556226 [add_forward_monad_depend]: 1.268e-05 [auto_monad_grad]: 2.48e-06 [auto_monad_eliminator]: 0.00010361 [cse]: 0.00020453 [a_3]: 0.00018172 [Cycle 2]: 0.00229399, [45] [expand_dump_flag]: 3.35e-06 [switch_simplify]: 2.6e-05 [loop_unroll]: 2.143e-05 [a_1]: 0.0007241 [with_stream_mark]: 3.022e-05 [recompute_prepare]: 2.235e-05 [updatestate_depend_eliminate]: 1.522e-05 [updatestate_assign_eliminate]: 1.275e-05 [updatestate_loads_eliminate]: 1.601e-05 [parameter_eliminate]: 2.48e-06 [a_2]: 0.00037555 [accelerated_algorithm]: 4.107e-05 [shard]: 2.49999e-06 [meta_shard_fg_expand]: 7.23e-06 [shard_inline]: 2.291e-05 [merge_send_recv]: 2.041e-05 [auto_parallel]: 2.073e-05 [parallel]: 1.103e-05 [flash_sp]: 4.38999e-06 [merge_comm]: 1.443e-05 [allreduce_fusion]: 1.424e-05 [matmul_add_comm_reduction]: 2.538e-05 [allreduce_slice_to_reducescatter]: 6.89994e-07 [virtual_shard_identity]: 2.486e-05 [virtual_dataset]: 2.239e-05 [get_grad_eliminate_]: 2.195e-05 [virtual_output]: 2.123e-05 [merge_forward]: 1.348e-05 [cell_reuse_recompute_pass]: 2.93e-06 [offload_activation]: 2.527e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.467e-05 [merge_recompute_call_nodes]: 1.77999e-06 [before_grad]: 3.973e-05 [set_forward_comm_id_for_comm_node_pass]: 1.48e-05 [meta_fg_expand]: 1.079e-05 [flash_sp_send_recv_attached]: 1.89999e-06 [receive_attached]: 2.59999e-06 [after_resolve]: 2.798e-05 [a_after_grad]: 3.575e-05 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 3.76001e-06 [auto_monad_grad]: 2.56e-06 [auto_monad_eliminator]: 5.779e-05 [cse]: 8.689e-05 [a_3]: 0.00015255 [py_interpret_to_execute_after_opt_a]: 3.638e-05 [slice_cell_reuse_recomputed_activation]: 3.2e-06 [rewriter_after_opt_a]: 0.00026223 [convert_after_rewriter]: 2.354e-05 [order_py_execute_after_rewriter]: 1.545e-05 [mutable_eliminate]: 0.00080671 [opt_b]: 0.00076504, [1] [Cycle 1]: 0.00075607, [7] [b_1]: 0.00053427 [b_2]: 2.554e-05 [updatestate_depend_eliminate]: 2.076e-05 [updatestate_assign_eliminate]: 1.225e-05 [updatestate_loads_eliminate]: 1.53e-05 [renormalize]: 7.60017e-07 [cse]: 0.00010219 [optimize_parallel_all_gather_comm]: 4.502e-05 [overlap_param_gather]: 2.06e-06 [cconv]: 4.252e-05 [loop_unroll]: 0.00056505 [opt_after_cconv]: 0.00031435, [1] [Cycle 1]: 0.00030646, [7] [c_1]: 0.00013191 [parameter_eliminate]: 4.84e-06 [updatestate_depend_eliminate]: 1.72e-05 [updatestate_assign_eliminate]: 1.263e-05 [updatestate_loads_eliminate]: 1.433e-05 [cse]: 8.575e-05 [renormalize]: 5.50004e-07 [remove_dup_value]: 0.00021841 [tuple_transform]: 0.00022242, [1] [Cycle 1]: 0.00021579, [4] [d_1]: 0.00016593 [none_parameter_eliminate]: 2.52001e-06 [renormalize]: 5.3001e-07 [switch_simplify]: 2.423e-05 [partial_unused_args_eliminate]: 2.37999e-06 [add_recomputation]: 0.00016884 [cse_after_recomputation]: 6.909e-05, [1] [Cycle 1]: 6.292e-05, [1] [cse]: 5.549e-05 [environ_conv]: 2.453e-05 [swap_dp_allreduce_reducescatter]: 1.931e-05 [bias_add_comm_swap]: 3.39001e-06 [label_micro_interleaved_index]: 5.37001e-06 [label_fine_grained_interleaved_index]: 2.98e-06 [merge_cast_opt]: 1.47001e-06 [slice_recompute_activation]: 2.60002e-06 [micro_interleaved_order_control]: 2.79001e-06 [assign_add_opt]: 1.76e-06 [ForceFp32Comm]: 9.10019e-07 [remove_cast_before_assign_add]: 1.15999e-06 [full_micro_interleaved_order_control]: 2.27999e-06 [reorder_send_recv_between_fp_bp]: 2.93e-06 [comm_op_add_attrs]: 1.05001e-06 [add_comm_op_reuse_tag]: 1.04e-06 [interleave_split_concat_branches]: 1.24e-06 [interleave_parallel_branches]: 1.18001e-06 [overlap_opt_shard_in_pipeline]: 2.297e-05 [overlap_opt_shard_grad_in_pipeline]: 2.06e-06 [control_data_broadcast_order]: 3.962e-05 [grouped_pairwise_exchange_alltoall]: 1.71e-06 [offloading_packed_experts]: 1.063e-05 [overlap_recompute_and_grad_model_parallel]: 1.144e-05 [overlap_grad_matmul_and_grad_allreduce]: 1.25999e-06 [overlap_recompute_allgather_and_fa_grad]: 1.76998e-06 [overlap_recompute_comm]: 2.36e-06 [overlap_grad_ring_attention]: 1.033e-05 [overlap_grad_flash_sp]: 7.135e-05 [begin_end_overlap_inline]: 6.00005e-07 [split_matmul_comm_elemetwise]: 2.34001e-06 [split_layernorm_comm]: 1.72001e-06 [handle_group_info]: 1.01002e-06 [symbol_engine_optimizer]: 0.00042164, [1] [Cycle 1]: 0.00041564, [6] [build]: 0.000204 [elim_shapecalc]: 3.376e-05 [elim_not_effective]: 5.435e-05 [opt_reshape]: 2.57e-05 [fold_const_symbol]: 5.704e-05 [renormalize]: 2.60014e-07 [detach_backward]: 2.54999e-06 [pipeline_parallel_scheduler]: 1.82999e-06 [auto_monad_reorder]: 6.996e-05 [get_jit_bprop_graph]: 2.73998e-06 [rewriter_after_jit_bprop_graph]: 5.57001e-06 [opt_after_jit_grad]: 0.00071061 [validate]: 9.394e-05 Sums bootstrap : 0.000914s : 0.06% type_inference : 1.384377s : 90.86% event_method : 0.000083s : 0.01% auto_monad : 0.000358s : 0.02% graph_reusing : 0.000012s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000070s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000015s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000101s : 0.01% 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 : 0.000072s : 0.00% optimize.rewriter_before_opt_a : 0.000258s : 0.02% optimize.opt_a.expand_dump_flag : 0.000009s : 0.00% optimize.opt_a.switch_simplify : 0.000269s : 0.02% optimize.opt_a.loop_unroll : 0.000095s : 0.01% optimize.opt_a.a_1 : 0.002602s : 0.17% optimize.opt_a.with_stream_mark : 0.000071s : 0.00% optimize.opt_a.recompute_prepare : 0.000059s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.120108s : 7.88% optimize.opt_a.updatestate_assign_eliminate : 0.000066s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000039s : 0.00% optimize.opt_a.parameter_eliminate : 0.000010s : 0.00% optimize.opt_a.a_2 : 0.001535s : 0.10% optimize.opt_a.accelerated_algorithm : 0.000114s : 0.01% optimize.opt_a.shard : 0.000006s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000020s : 0.00% optimize.opt_a.shard_inline : 0.000050s : 0.00% optimize.opt_a.merge_send_recv : 0.000043s : 0.00% optimize.opt_a.auto_parallel : 0.000045s : 0.00% optimize.opt_a.parallel : 0.000074s : 0.00% optimize.opt_a.flash_sp : 0.000022s : 0.00% optimize.opt_a.merge_comm : 0.000031s : 0.00% optimize.opt_a.allreduce_fusion : 0.000029s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000052s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000054s : 0.00% optimize.opt_a.virtual_dataset : 0.000049s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000048s : 0.00% optimize.opt_a.virtual_output : 0.000047s : 0.00% optimize.opt_a.merge_forward : 0.000028s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000007s : 0.00% optimize.opt_a.offload_activation : 0.000051s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000097s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000082s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000030s : 0.00% optimize.opt_a.meta_fg_expand : 0.000025s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000008s : 0.00% optimize.opt_a.receive_attached : 0.000006s : 0.00% optimize.opt_a.after_resolve : 0.000058s : 0.00% optimize.opt_a.a_after_grad : 0.000072s : 0.00% optimize.opt_a.renormalize : 0.005562s : 0.37% optimize.opt_a.add_forward_monad_depend : 0.000016s : 0.00% optimize.opt_a.auto_monad_grad : 0.000005s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000161s : 0.01% optimize.opt_a.cse : 0.000291s : 0.02% optimize.opt_a.a_3 : 0.000334s : 0.02% optimize.py_interpret_to_execute_after_opt_a : 0.000036s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000262s : 0.02% optimize.convert_after_rewriter : 0.000024s : 0.00% optimize.order_py_execute_after_rewriter : 0.000015s : 0.00% optimize.mutable_eliminate : 0.000807s : 0.05% optimize.opt_b.b_1 : 0.000534s : 0.04% optimize.opt_b.b_2 : 0.000026s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000021s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000012s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000015s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000102s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000045s : 0.00% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000043s : 0.00% optimize.loop_unroll : 0.000565s : 0.04% optimize.opt_after_cconv.c_1 : 0.000132s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000017s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000013s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000014s : 0.00% optimize.opt_after_cconv.cse : 0.000086s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000218s : 0.01% optimize.tuple_transform.d_1 : 0.000166s : 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 : 0.000024s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000169s : 0.01% optimize.cse_after_recomputation.cse : 0.000055s : 0.00% optimize.environ_conv : 0.000025s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000019s : 0.00% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000005s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000001s : 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 : 0.000023s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000040s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000011s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000011s : 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 : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000010s : 0.00% optimize.overlap_grad_flash_sp : 0.000071s : 0.00% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000204s : 0.01% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000034s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000054s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000026s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000057s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000003s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000070s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000711s : 0.05% validate : 0.000094s : 0.01% Time group info: ------[substitution.] 0.001007 267 36.36% : 0.000366s : 65: substitution.arithmetic_simplify 2.37% : 0.000024s : 12: substitution.depend_value_elim 1.63% : 0.000016s : 17: substitution.elim_not_effective 2.35% : 0.000024s : 17: substitution.fold_const_symbol 1.69% : 0.000017s : 19: substitution.graph_param_transform 39.99% : 0.000403s : 14: substitution.inline 1.49% : 0.000015s : 34: substitution.j_node_and_user_rematch 4.32% : 0.000044s : 24: substitution.less_batch_normalization 0.61% : 0.000006s : 6: substitution.load_eliminater 2.31% : 0.000023s : 34: substitution.remove_not_recompute_node 0.86% : 0.000009s : 4: substitution.replace_old_param 1.95% : 0.000020s : 6: substitution.switch_simplify 1.92% : 0.000019s : 6: substitution.updatestate_pure_node_eliminater 2.16% : 0.000022s : 9: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.384230 2 94.04% : 1.301745s : 1: type_inference.infer 5.96% : 0.082485s : 1: type_inference.specialize ------[replace.] 0.000271 25 26.85% : 0.000073s : 5: replace.depend_value_elim 36.12% : 0.000098s : 14: replace.inline 37.04% : 0.000100s : 6: replace.switch_simplify ------[match.] 0.000412 25 0.56% : 0.000002s : 5: match.depend_value_elim 95.75% : 0.000395s : 14: match.inline 3.69% : 0.000015s : 6: match.switch_simplify ------[predicate.] 0.000892 5802 0.86% : 0.000008s : 55: predicate.accumulaten_eliminater 0.64% : 0.000006s : 19: predicate.ad_related_special_op_eliminate 1.11% : 0.000010s : 67: predicate.addn_check_dump 1.00% : 0.000009s : 55: predicate.addn_zero_filter 0.88% : 0.000008s : 55: predicate.adjust_all_reduce_mul_add 3.05% : 0.000027s : 122: predicate.arithmetic_simplify 0.86% : 0.000008s : 55: predicate.cast_eliminate 0.65% : 0.000006s : 38: predicate.check_bprop_eliminate 1.14% : 0.000010s : 67: predicate.compare_switch_simplify 0.16% : 0.000001s : 19: predicate.const_output_eliminate 1.33% : 0.000012s : 66: predicate.depend_value_elim 0.90% : 0.000008s : 55: predicate.dict_get_item_const_eliminator 0.95% : 0.000008s : 55: predicate.dict_get_item_eliminator 0.81% : 0.000007s : 55: predicate.dict_set_item_eliminator 0.75% : 0.000007s : 38: predicate.dumpgradient_eliminate 0.20% : 0.000002s : 19: predicate.elim_not_effective 0.39% : 0.000003s : 19: predicate.elim_shapecalc_of_broadcastargs 1.16% : 0.000010s : 74: predicate.environ_add_const_eliminate 1.07% : 0.000010s : 74: predicate.environ_get_add_eliminate 1.11% : 0.000010s : 74: predicate.environ_get_depend_swap 2.29% : 0.000020s : 141: predicate.environ_get_eliminate 1.09% : 0.000010s : 74: predicate.environ_get_set_eliminate 1.08% : 0.000010s : 69: predicate.exchange_switch_depend_value 1.47% : 0.000013s : 69: predicate.float_depend_g_call 1.11% : 0.000010s : 67: predicate.float_environ_get_switch 1.42% : 0.000013s : 86: predicate.float_tuple_getitem_switch 0.15% : 0.000001s : 19: predicate.fold_const_symbol 0.78% : 0.000007s : 38: predicate.get_grad_eliminate 0.19% : 0.000002s : 19: predicate.graph_param_transform 1.12% : 0.000010s : 67: predicate.incorporate_call 0.97% : 0.000009s : 67: predicate.incorporate_call_switch 5.59% : 0.000050s : 267: predicate.inline 0.85% : 0.000008s : 38: predicate.inline_without_move 0.30% : 0.000003s : 38: predicate.j_node_and_user_rematch 0.83% : 0.000007s : 38: predicate.less_batch_normalization 1.51% : 0.000013s : 93: predicate.list_to_tuple_eliminator_ 2.34% : 0.000021s : 148: predicate.load_eliminater 0.66% : 0.000006s : 19: predicate.loop_unroll_after_grad 1.68% : 0.000015s : 100: predicate.loop_unroll_before_grad 1.47% : 0.000013s : 93: predicate.make_slice_get_slice_eliminator 1.17% : 0.000010s : 67: predicate.merge_addn 0.62% : 0.000006s : 38: predicate.micro_step_allgather_replace 0.63% : 0.000006s : 38: predicate.mini_step_allgather_replace 0.77% : 0.000007s : 55: predicate.minmaximum_grad 0.76% : 0.000007s : 19: predicate.mutable_eliminate 0.35% : 0.000003s : 19: predicate.opt_reshape 0.35% : 0.000003s : 19: predicate.parallel_virtual_node 1.57% : 0.000014s : 69: predicate.partial_defer_inline 1.25% : 0.000011s : 74: predicate.partial_eliminate 0.81% : 0.000007s : 55: predicate.print_const_string_wrapper 0.99% : 0.000009s : 57: predicate.reduce_all_const_elim 1.01% : 0.000009s : 55: predicate.reduce_eliminate 2.18% : 0.000019s : 148: predicate.redundant_stop_gradient_eliminater 0.36% : 0.000003s : 38: predicate.remove_not_recompute_node 0.98% : 0.000009s : 93: predicate.replace_applicator 0.35% : 0.000003s : 38: predicate.replace_old_param 0.16% : 0.000001s : 19: predicate.reset_defer_inline 0.86% : 0.000008s : 55: predicate.reshape_eliminate 0.64% : 0.000006s : 38: predicate.row_tensor_add_zeros_like 0.36% : 0.000003s : 19: predicate.row_tensor_eliminate 0.94% : 0.000008s : 38: predicate.same_eliminate 0.48% : 0.000004s : 48: predicate.set_cell_output_no_recompute 0.78% : 0.000007s : 38: predicate.shard_identity_eliminate 0.66% : 0.000006s : 38: predicate.special_op_eliminate 1.44% : 0.000013s : 67: predicate.specialize_transform 0.75% : 0.000007s : 38: predicate.split_environ_get_set_with_tuple_value 0.73% : 0.000006s : 38: predicate.stack_unstack_eliminate 0.36% : 0.000003s : 19: predicate.switch_call_monad_eliminater 1.23% : 0.000011s : 69: predicate.switch_defer_inline 1.86% : 0.000017s : 107: predicate.switch_layer_defer_inline 4.80% : 0.000043s : 267: predicate.switch_simplify 0.85% : 0.000008s : 55: predicate.tile_eliminate 0.80% : 0.000007s : 55: predicate.transpose_eliminate 1.61% : 0.000014s : 93: predicate.tuple_list_convert_item_index_to_positive 1.60% : 0.000014s : 93: predicate.tuple_list_get_item_const_eliminator 1.60% : 0.000014s : 93: predicate.tuple_list_get_item_depend_reorder 2.93% : 0.000026s : 160: predicate.tuple_list_get_item_eliminator 1.56% : 0.000014s : 93: predicate.tuple_list_get_set_item_eliminator 3.01% : 0.000027s : 160: predicate.tuple_list_set_item_eliminator 1.43% : 0.000013s : 93: predicate.tuple_to_list_eliminator_ 2.28% : 0.000020s : 148: predicate.updatestate_pure_node_eliminater 3.58% : 0.000032s : 215: predicate.updatestate_useless_node_eliminater 0.32% : 0.000003s : 19: predicate.value_based_eliminate 0.83% : 0.000007s : 38: predicate.virtual_dataset_eliminate 0.80% : 0.000007s : 38: predicate.virtual_output_eliminate 0.31% : 0.000003s : 19: predicate.virtual_view_grad_eliminate 0.39% : 0.000004s : 19: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.005527 49 68.75% : 0.003800s : 31: func_graph_cloner_run.FuncGraphClonerGraph 31.25% : 0.001727s : 18: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.689476 209 0.00% : 0.000004s : 1: ForceFp32Comm 0.43% : 0.007326s : 1: add_attr 0.43% : 0.007308s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.01% : 0.000175s : 1: add_recomputation 0.00% : 0.000005s : 1: assign_add_opt 0.02% : 0.000371s : 1: auto_monad 0.00% : 0.000075s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.06% : 0.000955s : 1: bootstrap 0.00% : 0.000046s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000044s : 1: control_data_broadcast_order 0.00% : 0.000028s : 1: convert_after_rewriter 0.00% : 0.000073s : 1: cse_after_recomputation 0.00% : 0.000007s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.00% : 0.000029s : 1: environ_conv 0.01% : 0.000093s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000017s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000007s : 1: inline 0.00% : 0.000006s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000008s : 1: label_micro_interleaved_index 0.03% : 0.000576s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.05% : 0.000820s : 1: mutable_eliminate 0.00% : 0.000014s : 1: offloading_packed_experts 0.00% : 0.000035s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000043s : 1: opt.transform.mutable_eliminate 0.32% : 0.005392s : 95: opt.transform.opt_a 0.01% : 0.000131s : 1: opt.transform.opt_after_cconv 0.01% : 0.000091s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.000513s : 28: opt.transform.opt_b 0.01% : 0.000187s : 2: opt.transform.opt_trans_graph 0.01% : 0.000166s : 4: opt.transform.symbol_engine_opt 7.88% : 0.133139s : 1: opt_a 0.02% : 0.000318s : 1: opt_after_cconv 0.04% : 0.000725s : 1: opt_after_jit_grad 0.05% : 0.000770s : 1: opt_b 8.17% : 0.137997s : 1: optimize 0.00% : 0.000049s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000019s : 1: order_py_execute_after_rewriter 0.00% : 0.000075s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000013s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000027s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000006s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000015s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000007s : 1: overlap_recompute_comm 0.00% : 0.000008s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.01% : 0.000107s : 1: pre_auto_parallel 0.00% : 0.000078s : 1: py_interpret_to_execute 0.00% : 0.000041s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.01% : 0.000226s : 1: remove_dup_value 0.21% : 0.003508s : 1: renormalize.infer 0.12% : 0.002038s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000271s : 1: rewriter_after_opt_a 0.02% : 0.000265s : 1: rewriter_before_opt_a 0.00% : 0.000006s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000006s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000023s : 1: swap_dp_allreduce_reducescatter 0.03% : 0.000425s : 1: symbol_engine_optimizer 0.01% : 0.000226s : 1: tuple_transform 81.94% : 1.384413s : 1: type_inference . [hook] pytest_runtest_teardown:test_aclgraph_dyn_input_off tests/st/runtime/kernel_capture/test_capture_graph.py::test_aclgraph_dyn_input_off,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") -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 1 passed, 25 warnings in 447.27s (0:07:27) ==================