==================================================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/infer/ops/test_internal_ops, 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 2 items test_qbmm_split.py [WARNING] ME(165105:281473844248368,MainProcess):2026-01-29-17:37:30.248.453 [mindspore/context.py:1334] For 'context.set_context', the parameter 'device_target' will be deprecated and removed in a future version. Please use the api mindspore.set_device() instead. TotalTime = 3.14387, [21] [bootstrap]: 0.00063557 [type_inference]: 2.84396 [event_method]: 0.00029106 [auto_monad]: 0.00109468 [graph_reusing]: 6.501e-05 [inline]: 3.43e-06 [add_attr]: 0.0233663, [1] [add_attr_with_inline]: 0.0233461, [1] [Cycle 1]: 0.00050786, [2] [tag_attr]: 0.00032211 [meta_addattr_fg_expand]: 7.901e-05 [parallel-infer-symbol]: 4.47e-06 [pre_auto_parallel]: 0.00034545 [insert-virtual-dataset]: 2.97002e-06 [parallel-infer-symbol-second]: 1.69e-06 [dataset_repeat_opt]: 2.61e-06 [pipeline_split]: 2.13998e-06 [optimize]: 0.272868, [53] [py_interpret_to_execute]: 0.00025894 [rewriter_before_opt_a]: 0.00102718 [opt_a]: 0.265465, [2] [Cycle 1]: 0.198384, [45] [expand_dump_flag]: 3.225e-05 [switch_simplify]: 0.00100204 [loop_unroll]: 0.00036758 [a_1]: 0.17815 [with_stream_mark]: 0.00015014 [recompute_prepare]: 5.768e-05 [updatestate_depend_eliminate]: 4.383e-05 [updatestate_assign_eliminate]: 2.697e-05 [updatestate_loads_eliminate]: 3.448e-05 [parameter_eliminate]: 4.68001e-06 [a_2]: 0.00118484 [accelerated_algorithm]: 7.803e-05 [shard]: 3.15002e-06 [meta_shard_fg_expand]: 3.907e-05 [shard_inline]: 3.335e-05 [merge_send_recv]: 4.834e-05 [auto_parallel]: 2.623e-05 [parallel]: 5.072e-05 [flash_sp]: 2.702e-05 [merge_comm]: 1.847e-05 [allreduce_fusion]: 1.732e-05 [matmul_add_comm_reduction]: 2.808e-05 [allreduce_slice_to_reducescatter]: 9.00007e-07 [virtual_shard_identity]: 3.731e-05 [virtual_dataset]: 2.968e-05 [get_grad_eliminate_]: 2.981e-05 [virtual_output]: 2.901e-05 [merge_forward]: 1.734e-05 [cell_reuse_recompute_pass]: 2.98e-06 [offload_activation]: 2.847e-05 [cell_reuse_handle_not_recompute_node_pass]: 6.218e-05 [merge_recompute_call_nodes]: 1.85001e-06 [before_grad]: 5.307e-05 [set_forward_comm_id_for_comm_node_pass]: 1.879e-05 [meta_fg_expand]: 2.7e-05 [flash_sp_send_recv_attached]: 6.84001e-06 [receive_attached]: 1.211e-05 [after_resolve]: 4.03e-05 [a_after_grad]: 4.864e-05 [renormalize]: 0.015277 [add_forward_monad_depend]: 2.272e-05 [auto_monad_grad]: 4.57e-06 [auto_monad_eliminator]: 0.00011977 [cse]: 0.00037793 [a_3]: 0.0002301 [Cycle 2]: 0.0670568, [45] [expand_dump_flag]: 2.74001e-06 [switch_simplify]: 3.365e-05 [loop_unroll]: 2.794e-05 [a_1]: 0.00092416 [with_stream_mark]: 4.665e-05 [recompute_prepare]: 3.906e-05 [updatestate_depend_eliminate]: 1.802e-05 [updatestate_assign_eliminate]: 1.538e-05 [updatestate_loads_eliminate]: 2.337e-05 [parameter_eliminate]: 3.38e-06 [a_2]: 0.00046721 [accelerated_algorithm]: 4.287e-05 [shard]: 2.54999e-06 [meta_shard_fg_expand]: 1.143e-05 [shard_inline]: 3.14e-05 [merge_send_recv]: 2.627e-05 [auto_parallel]: 2.423e-05 [parallel]: 1.158e-05 [flash_sp]: 5.37001e-06 [merge_comm]: 1.681e-05 [allreduce_fusion]: 1.574e-05 [matmul_add_comm_reduction]: 2.776e-05 [allreduce_slice_to_reducescatter]: 1.12e-06 [virtual_shard_identity]: 3.508e-05 [virtual_dataset]: 2.838e-05 [get_grad_eliminate_]: 2.773e-05 [virtual_output]: 2.823e-05 [merge_forward]: 1.781e-05 [cell_reuse_recompute_pass]: 3.03e-06 [offload_activation]: 2.793e-05 [cell_reuse_handle_not_recompute_node_pass]: 6.277e-05 [merge_recompute_call_nodes]: 2.44999e-06 [before_grad]: 4.985e-05 [set_forward_comm_id_for_comm_node_pass]: 2.078e-05 [meta_fg_expand]: 3.289e-05 [flash_sp_send_recv_attached]: 2.46e-06 [receive_attached]: 2.93e-06 [after_resolve]: 4.874e-05 [a_after_grad]: 4.812e-05 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 5.15001e-06 [auto_monad_grad]: 3.38e-06 [auto_monad_eliminator]: 8.546e-05 [cse]: 0.00011837 [a_3]: 0.064211 [py_interpret_to_execute_after_opt_a]: 6.892e-05 [slice_cell_reuse_recomputed_activation]: 4.07e-06 [rewriter_after_opt_a]: 0.00102866 [convert_after_rewriter]: 3.162e-05 [order_py_execute_after_rewriter]: 1.733e-05 [mutable_eliminate]: 0.00088143 [opt_b]: 0.00106267, [1] [Cycle 1]: 0.00105226, [7] [b_1]: 0.00076103 [b_2]: 3.104e-05 [updatestate_depend_eliminate]: 1.99e-05 [updatestate_assign_eliminate]: 1.566e-05 [updatestate_loads_eliminate]: 2.303e-05 [renormalize]: 1.24e-06 [cse]: 0.0001531 [optimize_parallel_all_gather_comm]: 5.15e-05 [overlap_param_gather]: 2.09999e-06 [cconv]: 4.514e-05 [loop_unroll]: 0.0005846 [opt_after_cconv]: 0.00041566, [1] [Cycle 1]: 0.00040712, [7] [c_1]: 0.0001949 [parameter_eliminate]: 4.35e-06 [updatestate_depend_eliminate]: 1.964e-05 [updatestate_assign_eliminate]: 1.475e-05 [updatestate_loads_eliminate]: 1.926e-05 [cse]: 0.00010972 [renormalize]: 8.09989e-07 [remove_dup_value]: 0.00012977 [tuple_transform]: 0.00032789, [1] [Cycle 1]: 0.00032188, [4] [d_1]: 0.00026168 [none_parameter_eliminate]: 2.29999e-06 [renormalize]: 5.8001e-07 [switch_simplify]: 3.163e-05 [partial_unused_args_eliminate]: 2.18002e-06 [add_recomputation]: 0.00018279 [cse_after_recomputation]: 8.031e-05, [1] [Cycle 1]: 7.399e-05, [1] [cse]: 6.665e-05 [environ_conv]: 3.92e-05 [swap_dp_allreduce_reducescatter]: 2.201e-05 [bias_add_comm_swap]: 3.13e-06 [label_micro_interleaved_index]: 5.46e-06 [label_fine_grained_interleaved_index]: 3.33e-06 [merge_cast_opt]: 1.65001e-06 [slice_recompute_activation]: 2.49001e-06 [micro_interleaved_order_control]: 3.04999e-06 [assign_add_opt]: 1.42999e-06 [ForceFp32Comm]: 1.17e-06 [remove_cast_before_assign_add]: 1.25999e-06 [full_micro_interleaved_order_control]: 2.36e-06 [reorder_send_recv_between_fp_bp]: 3.5e-06 [comm_op_add_attrs]: 1.40999e-06 [add_comm_op_reuse_tag]: 1.04e-06 [interleave_split_concat_branches]: 1.49e-06 [interleave_parallel_branches]: 1.10999e-06 [overlap_opt_shard_in_pipeline]: 2.71e-05 [overlap_opt_shard_grad_in_pipeline]: 2.16e-06 [control_data_broadcast_order]: 4.57e-05 [grouped_pairwise_exchange_alltoall]: 1.86e-06 [offloading_packed_experts]: 1.246e-05 [overlap_recompute_and_grad_model_parallel]: 1.241e-05 [overlap_grad_matmul_and_grad_allreduce]: 1.29e-06 [overlap_recompute_allgather_and_fa_grad]: 1.52999e-06 [overlap_recompute_comm]: 2.78998e-06 [overlap_grad_ring_attention]: 1.122e-05 [overlap_grad_flash_sp]: 7.732e-05 [begin_end_overlap_inline]: 5.60016e-07 [split_matmul_comm_elemetwise]: 2.52001e-06 [split_layernorm_comm]: 2.09999e-06 [handle_group_info]: 1.15999e-06 [symbol_engine_optimizer]: 0.00058361, [1] [Cycle 1]: 0.00057727, [6] [build]: 0.00030223 [elim_shapecalc]: 4.13e-05 [elim_not_effective]: 7.022e-05 [opt_reshape]: 4.153e-05 [fold_const_symbol]: 7.515e-05 [renormalize]: 4.09986e-07 [detach_backward]: 3.16001e-06 [pipeline_parallel_scheduler]: 2.02999e-06 [auto_monad_reorder]: 9.192e-05 [get_jit_bprop_graph]: 2.29001e-06 [rewriter_after_jit_bprop_graph]: 6.02001e-06 [opt_after_jit_grad]: 0.00071813 [validate]: 0.0001364 Sums bootstrap : 0.000636s : 0.02% type_inference : 2.843964s : 91.18% event_method : 0.000291s : 0.01% auto_monad : 0.001095s : 0.04% graph_reusing : 0.000065s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000322s : 0.01% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000079s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000345s : 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 : 0.000259s : 0.01% optimize.rewriter_before_opt_a : 0.001027s : 0.03% optimize.opt_a.expand_dump_flag : 0.000035s : 0.00% optimize.opt_a.switch_simplify : 0.001036s : 0.03% optimize.opt_a.loop_unroll : 0.000396s : 0.01% optimize.opt_a.a_1 : 0.179074s : 5.74% optimize.opt_a.with_stream_mark : 0.000197s : 0.01% optimize.opt_a.recompute_prepare : 0.000097s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000062s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000042s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000058s : 0.00% optimize.opt_a.parameter_eliminate : 0.000008s : 0.00% optimize.opt_a.a_2 : 0.001652s : 0.05% optimize.opt_a.accelerated_algorithm : 0.000121s : 0.00% optimize.opt_a.shard : 0.000006s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000051s : 0.00% optimize.opt_a.shard_inline : 0.000065s : 0.00% optimize.opt_a.merge_send_recv : 0.000075s : 0.00% optimize.opt_a.auto_parallel : 0.000050s : 0.00% optimize.opt_a.parallel : 0.000062s : 0.00% optimize.opt_a.flash_sp : 0.000032s : 0.00% optimize.opt_a.merge_comm : 0.000035s : 0.00% optimize.opt_a.allreduce_fusion : 0.000033s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000056s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000072s : 0.00% optimize.opt_a.virtual_dataset : 0.000058s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000058s : 0.00% optimize.opt_a.virtual_output : 0.000057s : 0.00% optimize.opt_a.merge_forward : 0.000035s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% optimize.opt_a.offload_activation : 0.000056s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000125s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000004s : 0.00% optimize.opt_a.before_grad : 0.000103s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000040s : 0.00% optimize.opt_a.meta_fg_expand : 0.000060s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000009s : 0.00% optimize.opt_a.receive_attached : 0.000015s : 0.00% optimize.opt_a.after_resolve : 0.000089s : 0.00% optimize.opt_a.a_after_grad : 0.000097s : 0.00% optimize.opt_a.renormalize : 0.015277s : 0.49% optimize.opt_a.add_forward_monad_depend : 0.000028s : 0.00% optimize.opt_a.auto_monad_grad : 0.000008s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000205s : 0.01% optimize.opt_a.cse : 0.000496s : 0.02% optimize.opt_a.a_3 : 0.064441s : 2.07% optimize.py_interpret_to_execute_after_opt_a : 0.000069s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000004s : 0.00% optimize.rewriter_after_opt_a : 0.001029s : 0.03% optimize.convert_after_rewriter : 0.000032s : 0.00% optimize.order_py_execute_after_rewriter : 0.000017s : 0.00% optimize.mutable_eliminate : 0.000881s : 0.03% optimize.opt_b.b_1 : 0.000761s : 0.02% optimize.opt_b.b_2 : 0.000031s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000020s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000016s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000023s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000153s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.000051s : 0.00% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000045s : 0.00% optimize.loop_unroll : 0.000585s : 0.02% optimize.opt_after_cconv.c_1 : 0.000195s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000020s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000015s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000019s : 0.00% optimize.opt_after_cconv.cse : 0.000110s : 0.00% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000130s : 0.00% optimize.tuple_transform.d_1 : 0.000262s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000001s : 0.00% optimize.tuple_transform.switch_simplify : 0.000032s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000183s : 0.01% optimize.cse_after_recomputation.cse : 0.000067s : 0.00% optimize.environ_conv : 0.000039s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000022s : 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 : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000001s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000002s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.00% optimize.comm_op_add_attrs : 0.000001s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000001s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000027s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000046s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000012s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000012s : 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 : 0.000011s : 0.00% optimize.overlap_grad_flash_sp : 0.000077s : 0.00% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000003s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000302s : 0.01% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000041s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000070s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000042s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000075s : 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 : 0.000092s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000718s : 0.02% validate : 0.000136s : 0.00% Time group info: ------[substitution.] 0.003669 608 0.55% : 0.000020s : 8: substitution.depend_value_elim 0.59% : 0.000022s : 17: substitution.elim_not_effective 0.58% : 0.000021s : 12: substitution.float_tuple_getitem_switch 0.89% : 0.000033s : 17: substitution.fold_const_symbol 0.57% : 0.000021s : 22: substitution.graph_param_transform 65.78% : 0.002413s : 71: substitution.inline 0.51% : 0.000019s : 35: substitution.j_node_and_user_rematch 1.11% : 0.000041s : 6: substitution.less_batch_normalization 1.32% : 0.000049s : 2: substitution.list_to_tuple_eliminator_ 0.39% : 0.000014s : 18: substitution.load_eliminater 0.96% : 0.000035s : 21: substitution.minmaximum_grad 0.21% : 0.000008s : 2: substitution.opt_reshape 0.74% : 0.000027s : 35: substitution.remove_not_recompute_node 0.38% : 0.000014s : 8: substitution.replace_old_param 1.58% : 0.000058s : 18: substitution.reshape_eliminate 2.04% : 0.000075s : 24: substitution.switch_simplify 4.00% : 0.000147s : 51: substitution.tuple_list_convert_item_index_to_positive 1.96% : 0.000072s : 51: substitution.tuple_list_get_item_const_eliminator 2.68% : 0.000098s : 51: substitution.tuple_list_get_item_depend_reorder 6.13% : 0.000225s : 73: substitution.tuple_list_get_item_eliminator 2.60% : 0.000096s : 51: substitution.tuple_list_get_set_item_eliminator 0.33% : 0.000012s : 6: substitution.updatestate_pure_node_eliminater 4.09% : 0.000150s : 9: substitution.updatestate_useless_node_eliminater ------[type_inference.] 2.843341 2 95.14% : 2.705231s : 1: type_inference.infer 4.86% : 0.138110s : 1: type_inference.specialize ------[replace.] 0.169901 115 0.03% : 0.000058s : 5: replace.depend_value_elim 0.45% : 0.000757s : 71: replace.inline 0.02% : 0.000039s : 2: replace.list_to_tuple_eliminator_ 0.22% : 0.000380s : 24: replace.switch_simplify 99.27% : 0.168667s : 13: replace.tuple_list_get_item_eliminator ------[match.] 0.002522 115 0.12% : 0.000003s : 5: match.depend_value_elim 93.80% : 0.002366s : 71: match.inline 1.82% : 0.000046s : 2: match.list_to_tuple_eliminator_ 2.39% : 0.000060s : 24: match.switch_simplify 1.87% : 0.000047s : 13: match.tuple_list_get_item_eliminator ------[predicate.] 0.066089 10915 0.03% : 0.000023s : 133: predicate.accumulaten_eliminater 0.01% : 0.000007s : 22: predicate.ad_related_special_op_eliminate 0.02% : 0.000013s : 73: predicate.addn_check_dump 0.03% : 0.000022s : 133: predicate.addn_zero_filter 0.03% : 0.000021s : 133: predicate.adjust_all_reduce_mul_add 0.07% : 0.000044s : 206: predicate.arithmetic_simplify 0.03% : 0.000023s : 133: predicate.cast_eliminate 0.02% : 0.000011s : 44: predicate.check_bprop_eliminate 0.02% : 0.000013s : 73: predicate.compare_switch_simplify 0.00% : 0.000002s : 22: predicate.const_output_eliminate 0.02% : 0.000013s : 76: predicate.depend_value_elim 0.04% : 0.000023s : 133: predicate.dict_get_item_const_eliminator 0.04% : 0.000024s : 133: predicate.dict_get_item_eliminator 0.03% : 0.000022s : 133: predicate.dict_set_item_eliminator 0.01% : 0.000009s : 44: predicate.dumpgradient_eliminate 0.00% : 0.000002s : 22: predicate.elim_not_effective 0.01% : 0.000004s : 22: predicate.elim_shapecalc_of_broadcastargs 0.04% : 0.000026s : 155: predicate.environ_add_const_eliminate 0.04% : 0.000025s : 155: predicate.environ_get_add_eliminate 0.04% : 0.000025s : 155: predicate.environ_get_depend_swap 0.06% : 0.000039s : 228: predicate.environ_get_eliminate 0.04% : 0.000025s : 155: predicate.environ_get_set_eliminate 0.06% : 0.000040s : 219: predicate.exchange_switch_depend_value 0.09% : 0.000058s : 219: predicate.float_depend_g_call 0.02% : 0.000013s : 73: predicate.float_environ_get_switch 0.03% : 0.000017s : 95: predicate.float_tuple_getitem_switch 0.00% : 0.000002s : 22: predicate.fold_const_symbol 0.01% : 0.000009s : 45: predicate.get_grad_eliminate 0.00% : 0.000002s : 22: predicate.graph_param_transform 0.02% : 0.000013s : 73: predicate.incorporate_call 0.02% : 0.000012s : 73: predicate.incorporate_call_switch 0.19% : 0.000129s : 514: predicate.inline 0.02% : 0.000010s : 45: predicate.inline_without_move 0.01% : 0.000004s : 45: predicate.j_node_and_user_rematch 0.02% : 0.000010s : 45: predicate.less_batch_normalization 0.05% : 0.000035s : 192: predicate.list_to_tuple_eliminator_ 0.08% : 0.000053s : 325: predicate.load_eliminater 0.01% : 0.000007s : 22: predicate.loop_unroll_after_grad 0.14% : 0.000091s : 324: predicate.loop_unroll_before_grad 0.05% : 0.000031s : 177: predicate.make_slice_get_slice_eliminator 0.02% : 0.000012s : 73: predicate.merge_addn 0.01% : 0.000007s : 44: predicate.micro_step_allgather_replace 0.01% : 0.000007s : 44: predicate.mini_step_allgather_replace 0.03% : 0.000022s : 133: predicate.minmaximum_grad 0.01% : 0.000009s : 22: predicate.mutable_eliminate 0.01% : 0.000004s : 22: predicate.opt_reshape 0.01% : 0.000004s : 22: predicate.parallel_virtual_node 0.11% : 0.000073s : 219: predicate.partial_defer_inline 0.05% : 0.000033s : 170: predicate.partial_eliminate 0.03% : 0.000023s : 133: predicate.print_const_string_wrapper 0.02% : 0.000012s : 68: predicate.reduce_all_const_elim 0.05% : 0.000032s : 133: predicate.reduce_eliminate 0.08% : 0.000053s : 325: predicate.redundant_stop_gradient_eliminater 0.01% : 0.000004s : 45: predicate.remove_not_recompute_node 0.04% : 0.000024s : 192: predicate.replace_applicator 0.01% : 0.000005s : 45: predicate.replace_old_param 0.00% : 0.000003s : 22: predicate.reset_defer_inline 0.04% : 0.000025s : 133: predicate.reshape_eliminate 0.01% : 0.000008s : 44: predicate.row_tensor_add_zeros_like 0.01% : 0.000004s : 22: predicate.row_tensor_eliminate 96.74% : 0.063933s : 44: predicate.same_eliminate 0.01% : 0.000006s : 50: predicate.set_cell_output_no_recompute 0.01% : 0.000009s : 45: predicate.shard_identity_eliminate 0.01% : 0.000008s : 44: predicate.special_op_eliminate 0.03% : 0.000017s : 73: predicate.specialize_transform 0.02% : 0.000011s : 44: predicate.split_environ_get_set_with_tuple_value 0.01% : 0.000009s : 45: predicate.stack_unstack_eliminate 0.01% : 0.000004s : 22: predicate.switch_call_monad_eliminater 0.06% : 0.000042s : 219: predicate.switch_defer_inline 0.08% : 0.000050s : 263: predicate.switch_layer_defer_inline 0.30% : 0.000199s : 686: predicate.switch_simplify 0.04% : 0.000023s : 133: predicate.tile_eliminate 0.03% : 0.000022s : 133: predicate.transpose_eliminate 0.06% : 0.000039s : 177: predicate.tuple_list_convert_item_index_to_positive 0.05% : 0.000036s : 177: predicate.tuple_list_get_item_const_eliminator 0.05% : 0.000034s : 177: predicate.tuple_list_get_item_depend_reorder 0.10% : 0.000064s : 263: predicate.tuple_list_get_item_eliminator 0.05% : 0.000034s : 177: predicate.tuple_list_get_set_item_eliminator 0.07% : 0.000048s : 250: predicate.tuple_list_set_item_eliminator 0.05% : 0.000033s : 190: predicate.tuple_to_list_eliminator_ 0.08% : 0.000054s : 325: predicate.updatestate_pure_node_eliminater 0.10% : 0.000068s : 398: predicate.updatestate_useless_node_eliminater 0.01% : 0.000004s : 22: predicate.value_based_eliminate 0.01% : 0.000008s : 45: predicate.virtual_dataset_eliminate 0.01% : 0.000008s : 45: predicate.virtual_output_eliminate 0.01% : 0.000004s : 22: predicate.virtual_view_grad_eliminate 0.01% : 0.000004s : 22: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.089349 133 8.39% : 0.007493s : 53: func_graph_cloner_run.FuncGraphClonerGraph 91.61% : 0.081856s : 80: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.704039 209 0.00% : 0.000005s : 1: ForceFp32Comm 0.63% : 0.023375s : 1: add_attr 0.63% : 0.023352s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.01% : 0.000189s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.03% : 0.001122s : 1: auto_monad 0.00% : 0.000098s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.02% : 0.000676s : 1: bootstrap 0.00% : 0.000050s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000050s : 1: control_data_broadcast_order 0.00% : 0.000037s : 1: convert_after_rewriter 0.00% : 0.000084s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000043s : 1: environ_conv 0.01% : 0.000306s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000073s : 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% : 0.000007s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000005s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000009s : 1: label_micro_interleaved_index 0.02% : 0.000594s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.02% : 0.000894s : 1: mutable_eliminate 0.00% : 0.000016s : 1: offloading_packed_experts 0.00% : 0.000043s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000052s : 1: opt.transform.mutable_eliminate 6.68% : 0.247314s : 95: opt.transform.opt_a 0.01% : 0.000193s : 1: opt.transform.opt_after_cconv 0.00% : 0.000099s : 1: opt.transform.opt_after_jit_grad 0.02% : 0.000751s : 28: opt.transform.opt_b 0.01% : 0.000290s : 2: opt.transform.opt_trans_graph 0.01% : 0.000223s : 4: opt.transform.symbol_engine_opt 7.17% : 0.265472s : 1: opt_a 0.01% : 0.000420s : 1: opt_after_cconv 0.02% : 0.000729s : 1: opt_after_jit_grad 0.03% : 0.001067s : 1: opt_b 7.37% : 0.272875s : 1: optimize 0.00% : 0.000056s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000021s : 1: order_py_execute_after_rewriter 0.00% : 0.000082s : 1: overlap_grad_flash_sp 0.00% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000014s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000031s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000006s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000016s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000010s : 1: parallel-infer-symbol 0.00% : 0.000005s : 1: parallel-infer-symbol-second 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pipeline_parallel_scheduler 0.00% : 0.000006s : 1: pipeline_split 0.01% : 0.000357s : 1: pre_auto_parallel 0.01% : 0.000269s : 1: py_interpret_to_execute 0.00% : 0.000076s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000135s : 1: remove_dup_value 0.20% : 0.007338s : 1: renormalize.infer 0.21% : 0.007914s : 1: renormalize.specialize 0.00% : 0.000007s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.001040s : 1: rewriter_after_opt_a 0.03% : 0.001046s : 1: rewriter_before_opt_a 0.00% : 0.000008s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000026s : 1: swap_dp_allreduce_reducescatter 0.02% : 0.000587s : 1: symbol_engine_optimizer 0.01% : 0.000332s : 1: tuple_transform 76.78% : 2.844003s : 1: type_inference . [hook] pytest_runtest_teardown:test_qbmm_ffn_2[True-k_n_shape0-256] tests/st/infer/ops/test_internal_ops/test_qbmm_split.py::test_qbmm_ffn_2[True-k_n_shape0-256],max_mem:146.0M [WARNING] ME(165105:281473844248368,MainProcess):2026-01-29-17:38:50.410.780 [mindspore/context.py:1334] For 'context.set_context', the parameter 'device_target' will be deprecated and removed in a future version. Please use the api mindspore.set_device() instead. TotalTime = 1.03321, [21] [bootstrap]: 0.00068572 [type_inference]: 0.888856 [event_method]: 0.00022801 [auto_monad]: 0.00096136 [graph_reusing]: 4.906e-05 [inline]: 4.21001e-06 [add_attr]: 0.0269302, [1] [add_attr_with_inline]: 0.0269112, [1] [Cycle 1]: 0.00034262, [2] [tag_attr]: 0.00021884 [meta_addattr_fg_expand]: 5.598e-05 [parallel-infer-symbol]: 4.23999e-06 [pre_auto_parallel]: 0.0002717 [insert-virtual-dataset]: 3.95e-06 [parallel-infer-symbol-second]: 1.60999e-06 [dataset_repeat_opt]: 2.73998e-06 [pipeline_split]: 3.33e-06 [optimize]: 0.113732, [53] [py_interpret_to_execute]: 0.00027242 [rewriter_before_opt_a]: 0.00088432 [opt_a]: 0.0789446, [2] [Cycle 1]: 0.0760805, [45] [expand_dump_flag]: 4.141e-05 [switch_simplify]: 0.00092865 [loop_unroll]: 0.00032736 [a_1]: 0.0311636 [with_stream_mark]: 0.00014191 [recompute_prepare]: 5.698e-05 [updatestate_depend_eliminate]: 2.882e-05 [updatestate_assign_eliminate]: 2.185e-05 [updatestate_loads_eliminate]: 2.97e-05 [parameter_eliminate]: 3.61999e-06 [a_2]: 0.00113037 [accelerated_algorithm]: 9.098e-05 [shard]: 3.14001e-06 [meta_shard_fg_expand]: 2.569e-05 [shard_inline]: 3.314e-05 [merge_send_recv]: 2.53e-05 [auto_parallel]: 2.724e-05 [parallel]: 5.016e-05 [flash_sp]: 1.659e-05 [merge_comm]: 1.911e-05 [allreduce_fusion]: 1.869e-05 [matmul_add_comm_reduction]: 2.851e-05 [allreduce_slice_to_reducescatter]: 9.00007e-07 [virtual_shard_identity]: 4.363e-05 [virtual_dataset]: 3.494e-05 [get_grad_eliminate_]: 3.238e-05 [virtual_output]: 3.347e-05 [merge_forward]: 1.842e-05 [cell_reuse_recompute_pass]: 3.03e-06 [offload_activation]: 3e-05 [cell_reuse_handle_not_recompute_node_pass]: 7.18e-05 [merge_recompute_call_nodes]: 1.70001e-06 [before_grad]: 6.009e-05 [set_forward_comm_id_for_comm_node_pass]: 2.226e-05 [meta_fg_expand]: 2.297e-05 [flash_sp_send_recv_attached]: 6.84001e-06 [receive_attached]: 2.74001e-06 [after_resolve]: 4.567e-05 [a_after_grad]: 5.332e-05 [renormalize]: 0.0398479 [add_forward_monad_depend]: 2.26e-05 [auto_monad_grad]: 3.55998e-06 [auto_monad_eliminator]: 0.00010411 [cse]: 0.00068083 [a_3]: 0.00022898 [Cycle 2]: 0.00284259, [45] [expand_dump_flag]: 3.50998e-06 [switch_simplify]: 3.246e-05 [loop_unroll]: 3.001e-05 [a_1]: 0.00096711 [with_stream_mark]: 3.539e-05 [recompute_prepare]: 3.129e-05 [updatestate_depend_eliminate]: 1.692e-05 [updatestate_assign_eliminate]: 1.612e-05 [updatestate_loads_eliminate]: 2.246e-05 [parameter_eliminate]: 2.91e-06 [a_2]: 0.000449 [accelerated_algorithm]: 3.896e-05 [shard]: 2.39001e-06 [meta_shard_fg_expand]: 8.52e-06 [shard_inline]: 3.268e-05 [merge_send_recv]: 2.521e-05 [auto_parallel]: 2.418e-05 [parallel]: 1.091e-05 [flash_sp]: 4.55999e-06 [merge_comm]: 1.63e-05 [allreduce_fusion]: 1.695e-05 [matmul_add_comm_reduction]: 2.366e-05 [allreduce_slice_to_reducescatter]: 1.02e-06 [virtual_shard_identity]: 3.016e-05 [virtual_dataset]: 2.826e-05 [get_grad_eliminate_]: 2.868e-05 [virtual_output]: 2.742e-05 [merge_forward]: 1.553e-05 [cell_reuse_recompute_pass]: 3.37002e-06 [offload_activation]: 2.712e-05 [cell_reuse_handle_not_recompute_node_pass]: 5.569e-05 [merge_recompute_call_nodes]: 1.77001e-06 [before_grad]: 5.103e-05 [set_forward_comm_id_for_comm_node_pass]: 1.699e-05 [meta_fg_expand]: 1.249e-05 [flash_sp_send_recv_attached]: 2.22001e-06 [receive_attached]: 2.61999e-06 [after_resolve]: 4.016e-05 [a_after_grad]: 4.586e-05 [renormalize]: 5.00004e-08 [add_forward_monad_depend]: 3.56999e-06 [auto_monad_grad]: 2.99001e-06 [auto_monad_eliminator]: 7.002e-05 [cse]: 9.593e-05 [a_3]: 0.00019672 [py_interpret_to_execute_after_opt_a]: 3.879e-05 [slice_cell_reuse_recomputed_activation]: 2.86e-06 [rewriter_after_opt_a]: 0.0009031 [convert_after_rewriter]: 3.021e-05 [order_py_execute_after_rewriter]: 1.619e-05 [mutable_eliminate]: 0.0264973 [opt_b]: 0.00106468, [1] [Cycle 1]: 0.00105408, [7] [b_1]: 0.00077178 [b_2]: 3.287e-05 [updatestate_depend_eliminate]: 2.892e-05 [updatestate_assign_eliminate]: 1.481e-05 [updatestate_loads_eliminate]: 2.479e-05 [renormalize]: 1.19003e-06 [cse]: 0.00012865 [optimize_parallel_all_gather_comm]: 5.344e-05 [overlap_param_gather]: 6.42001e-06 [cconv]: 4.951e-05 [loop_unroll]: 0.00081985 [opt_after_cconv]: 0.00046173, [1] [Cycle 1]: 0.00045377, [7] [c_1]: 0.00025403 [parameter_eliminate]: 6.09001e-06 [updatestate_depend_eliminate]: 2.25e-05 [updatestate_assign_eliminate]: 1.395e-05 [updatestate_loads_eliminate]: 2.036e-05 [cse]: 9.212e-05 [renormalize]: 8.39995e-07 [remove_dup_value]: 0.00012787 [tuple_transform]: 0.00033805, [1] [Cycle 1]: 0.00033152, [4] [d_1]: 0.00027164 [none_parameter_eliminate]: 3.08998e-06 [renormalize]: 1.05001e-06 [switch_simplify]: 3.059e-05 [partial_unused_args_eliminate]: 2.44001e-06 [add_recomputation]: 0.00022141 [cse_after_recomputation]: 8.037e-05, [1] [Cycle 1]: 7.328e-05, [1] [cse]: 6.474e-05 [environ_conv]: 4.972e-05 [swap_dp_allreduce_reducescatter]: 0.00164349 [bias_add_comm_swap]: 5.62001e-06 [label_micro_interleaved_index]: 8.05999e-06 [label_fine_grained_interleaved_index]: 2.91999e-06 [merge_cast_opt]: 1.72999e-06 [slice_recompute_activation]: 2.39999e-06 [micro_interleaved_order_control]: 2.74999e-06 [assign_add_opt]: 1.93002e-06 [ForceFp32Comm]: 9.29984e-07 [remove_cast_before_assign_add]: 1.13001e-06 [full_micro_interleaved_order_control]: 2.27999e-06 [reorder_send_recv_between_fp_bp]: 3.11999e-06 [comm_op_add_attrs]: 1.42e-06 [add_comm_op_reuse_tag]: 1.08001e-06 [interleave_split_concat_branches]: 1.24e-06 [interleave_parallel_branches]: 1.10001e-06 [overlap_opt_shard_in_pipeline]: 2.68e-06 [overlap_opt_shard_grad_in_pipeline]: 1.79e-06 [control_data_broadcast_order]: 5.875e-05 [grouped_pairwise_exchange_alltoall]: 1.52999e-06 [offloading_packed_experts]: 1.268e-05 [overlap_recompute_and_grad_model_parallel]: 1.227e-05 [overlap_grad_matmul_and_grad_allreduce]: 1.29e-06 [overlap_recompute_allgather_and_fa_grad]: 1.32e-06 [overlap_recompute_comm]: 2.75002e-06 [overlap_grad_ring_attention]: 1.11e-05 [overlap_grad_flash_sp]: 6.75e-05 [begin_end_overlap_inline]: 6.19999e-07 [split_matmul_comm_elemetwise]: 2.51e-06 [split_layernorm_comm]: 1.88997e-06 [handle_group_info]: 1.29998e-06 [symbol_engine_optimizer]: 0.00062501, [1] [Cycle 1]: 0.00061543, [6] [build]: 0.00031444 [elim_shapecalc]: 6.015e-05 [elim_not_effective]: 7.432e-05 [opt_reshape]: 4.439e-05 [fold_const_symbol]: 7.178e-05 [renormalize]: 6.10016e-07 [detach_backward]: 2.49001e-06 [pipeline_parallel_scheduler]: 1.66e-06 [auto_monad_reorder]: 9.123e-05 [get_jit_bprop_graph]: 2.04999e-06 [rewriter_after_jit_bprop_graph]: 6.59999e-06 [opt_after_jit_grad]: 0.00095369 [validate]: 0.0001267 Sums bootstrap : 0.000686s : 0.07% type_inference : 0.888856s : 88.45% event_method : 0.000228s : 0.02% auto_monad : 0.000961s : 0.10% graph_reusing : 0.000049s : 0.00% inline : 0.000004s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000219s : 0.02% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000056s : 0.01% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000272s : 0.03% insert-virtual-dataset : 0.000004s : 0.00% parallel-infer-symbol-second : 0.000002s : 0.00% dataset_repeat_opt : 0.000003s : 0.00% pipeline_split : 0.000003s : 0.00% optimize.py_interpret_to_execute : 0.000272s : 0.03% optimize.rewriter_before_opt_a : 0.000884s : 0.09% optimize.opt_a.expand_dump_flag : 0.000045s : 0.00% optimize.opt_a.switch_simplify : 0.000961s : 0.10% optimize.opt_a.loop_unroll : 0.000357s : 0.04% optimize.opt_a.a_1 : 0.032131s : 3.20% optimize.opt_a.with_stream_mark : 0.000177s : 0.02% optimize.opt_a.recompute_prepare : 0.000088s : 0.01% optimize.opt_a.updatestate_depend_eliminate : 0.000046s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000038s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000052s : 0.01% optimize.opt_a.parameter_eliminate : 0.000007s : 0.00% optimize.opt_a.a_2 : 0.001579s : 0.16% optimize.opt_a.accelerated_algorithm : 0.000130s : 0.01% optimize.opt_a.shard : 0.000006s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000034s : 0.00% optimize.opt_a.shard_inline : 0.000066s : 0.01% optimize.opt_a.merge_send_recv : 0.000051s : 0.01% optimize.opt_a.auto_parallel : 0.000051s : 0.01% optimize.opt_a.parallel : 0.000061s : 0.01% optimize.opt_a.flash_sp : 0.000021s : 0.00% optimize.opt_a.merge_comm : 0.000035s : 0.00% optimize.opt_a.allreduce_fusion : 0.000036s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000052s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000074s : 0.01% optimize.opt_a.virtual_dataset : 0.000063s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000061s : 0.01% optimize.opt_a.virtual_output : 0.000061s : 0.01% optimize.opt_a.merge_forward : 0.000034s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% optimize.opt_a.offload_activation : 0.000057s : 0.01% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000127s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000111s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000039s : 0.00% optimize.opt_a.meta_fg_expand : 0.000035s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000009s : 0.00% optimize.opt_a.receive_attached : 0.000005s : 0.00% optimize.opt_a.after_resolve : 0.000086s : 0.01% optimize.opt_a.a_after_grad : 0.000099s : 0.01% optimize.opt_a.renormalize : 0.039848s : 3.97% optimize.opt_a.add_forward_monad_depend : 0.000026s : 0.00% optimize.opt_a.auto_monad_grad : 0.000007s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000174s : 0.02% optimize.opt_a.cse : 0.000777s : 0.08% optimize.opt_a.a_3 : 0.000426s : 0.04% optimize.py_interpret_to_execute_after_opt_a : 0.000039s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000903s : 0.09% optimize.convert_after_rewriter : 0.000030s : 0.00% optimize.order_py_execute_after_rewriter : 0.000016s : 0.00% optimize.mutable_eliminate : 0.026497s : 2.64% optimize.opt_b.b_1 : 0.000772s : 0.08% optimize.opt_b.b_2 : 0.000033s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000029s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000015s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000025s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000129s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000053s : 0.01% optimize.overlap_param_gather : 0.000006s : 0.00% optimize.cconv : 0.000050s : 0.00% optimize.loop_unroll : 0.000820s : 0.08% optimize.opt_after_cconv.c_1 : 0.000254s : 0.03% optimize.opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000022s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000014s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000020s : 0.00% optimize.opt_after_cconv.cse : 0.000092s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000128s : 0.01% optimize.tuple_transform.d_1 : 0.000272s : 0.03% optimize.tuple_transform.none_parameter_eliminate : 0.000003s : 0.00% optimize.tuple_transform.renormalize : 0.000001s : 0.00% optimize.tuple_transform.switch_simplify : 0.000031s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000221s : 0.02% optimize.cse_after_recomputation.cse : 0.000065s : 0.01% optimize.environ_conv : 0.000050s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.001643s : 0.16% optimize.bias_add_comm_swap : 0.000006s : 0.00% optimize.label_micro_interleaved_index : 0.000008s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000002s : 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 : 0.000003s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000059s : 0.01% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000013s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000012s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000003s : 0.00% optimize.overlap_grad_ring_attention : 0.000011s : 0.00% optimize.overlap_grad_flash_sp : 0.000067s : 0.01% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000003s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000314s : 0.03% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000060s : 0.01% optimize.symbol_engine_optimizer.elim_not_effective : 0.000074s : 0.01% optimize.symbol_engine_optimizer.opt_reshape : 0.000044s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000072s : 0.01% optimize.symbol_engine_optimizer.renormalize : 0.000001s : 0.00% detach_backward : 0.000002s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000091s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000954s : 0.09% validate : 0.000127s : 0.01% Time group info: ------[substitution.] 0.025446 608 0.07% : 0.000018s : 8: substitution.depend_value_elim 0.08% : 0.000020s : 17: substitution.elim_not_effective 0.09% : 0.000022s : 12: substitution.float_tuple_getitem_switch 0.11% : 0.000028s : 17: substitution.fold_const_symbol 0.08% : 0.000021s : 22: substitution.graph_param_transform 95.06% : 0.024190s : 71: substitution.inline 0.08% : 0.000019s : 35: substitution.j_node_and_user_rematch 0.17% : 0.000043s : 6: substitution.less_batch_normalization 0.22% : 0.000057s : 2: substitution.list_to_tuple_eliminator_ 0.05% : 0.000013s : 18: substitution.load_eliminater 0.14% : 0.000035s : 21: substitution.minmaximum_grad 0.03% : 0.000007s : 2: substitution.opt_reshape 0.10% : 0.000027s : 35: substitution.remove_not_recompute_node 0.05% : 0.000012s : 8: substitution.replace_old_param 0.24% : 0.000062s : 18: substitution.reshape_eliminate 0.22% : 0.000055s : 24: substitution.switch_simplify 0.60% : 0.000153s : 51: substitution.tuple_list_convert_item_index_to_positive 0.30% : 0.000076s : 51: substitution.tuple_list_get_item_const_eliminator 0.43% : 0.000110s : 51: substitution.tuple_list_get_item_depend_reorder 0.87% : 0.000221s : 73: substitution.tuple_list_get_item_eliminator 0.40% : 0.000101s : 51: substitution.tuple_list_get_set_item_eliminator 0.05% : 0.000013s : 6: substitution.updatestate_pure_node_eliminater 0.56% : 0.000142s : 9: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.888384 2 95.59% : 0.849162s : 1: type_inference.infer 4.41% : 0.039222s : 1: type_inference.specialize ------[replace.] 0.001243 115 5.01% : 0.000062s : 5: replace.depend_value_elim 57.47% : 0.000714s : 71: replace.inline 3.37% : 0.000042s : 2: replace.list_to_tuple_eliminator_ 25.97% : 0.000323s : 24: replace.switch_simplify 8.18% : 0.000102s : 13: replace.tuple_list_get_item_eliminator ------[match.] 0.024269 115 0.01% : 0.000002s : 5: match.depend_value_elim 99.45% : 0.024136s : 71: match.inline 0.22% : 0.000054s : 2: match.list_to_tuple_eliminator_ 0.18% : 0.000044s : 24: match.switch_simplify 0.13% : 0.000033s : 13: match.tuple_list_get_item_eliminator ------[predicate.] 0.002047 10915 1.08% : 0.000022s : 133: predicate.accumulaten_eliminater 0.37% : 0.000007s : 22: predicate.ad_related_special_op_eliminate 0.58% : 0.000012s : 73: predicate.addn_check_dump 1.05% : 0.000021s : 133: predicate.addn_zero_filter 1.03% : 0.000021s : 133: predicate.adjust_all_reduce_mul_add 2.03% : 0.000042s : 206: predicate.arithmetic_simplify 1.08% : 0.000022s : 133: predicate.cast_eliminate 0.36% : 0.000007s : 44: predicate.check_bprop_eliminate 0.58% : 0.000012s : 73: predicate.compare_switch_simplify 0.11% : 0.000002s : 22: predicate.const_output_eliminate 0.68% : 0.000014s : 76: predicate.depend_value_elim 1.13% : 0.000023s : 133: predicate.dict_get_item_const_eliminator 1.19% : 0.000024s : 133: predicate.dict_get_item_eliminator 1.05% : 0.000021s : 133: predicate.dict_set_item_eliminator 0.41% : 0.000008s : 44: predicate.dumpgradient_eliminate 0.14% : 0.000003s : 22: predicate.elim_not_effective 0.23% : 0.000005s : 22: predicate.elim_shapecalc_of_broadcastargs 1.21% : 0.000025s : 155: predicate.environ_add_const_eliminate 1.21% : 0.000025s : 155: predicate.environ_get_add_eliminate 1.21% : 0.000025s : 155: predicate.environ_get_depend_swap 1.85% : 0.000038s : 228: predicate.environ_get_eliminate 1.22% : 0.000025s : 155: predicate.environ_get_set_eliminate 1.80% : 0.000037s : 219: predicate.exchange_switch_depend_value 2.58% : 0.000053s : 219: predicate.float_depend_g_call 0.59% : 0.000012s : 73: predicate.float_environ_get_switch 0.78% : 0.000016s : 95: predicate.float_tuple_getitem_switch 0.10% : 0.000002s : 22: predicate.fold_const_symbol 0.41% : 0.000008s : 45: predicate.get_grad_eliminate 0.12% : 0.000002s : 22: predicate.graph_param_transform 0.59% : 0.000012s : 73: predicate.incorporate_call 0.57% : 0.000012s : 73: predicate.incorporate_call_switch 6.27% : 0.000128s : 514: predicate.inline 0.50% : 0.000010s : 45: predicate.inline_without_move 0.20% : 0.000004s : 45: predicate.j_node_and_user_rematch 0.48% : 0.000010s : 45: predicate.less_batch_normalization 1.71% : 0.000035s : 192: predicate.list_to_tuple_eliminator_ 2.56% : 0.000052s : 325: predicate.load_eliminater 0.40% : 0.000008s : 22: predicate.loop_unroll_after_grad 2.88% : 0.000059s : 324: predicate.loop_unroll_before_grad 1.47% : 0.000030s : 177: predicate.make_slice_get_slice_eliminator 0.59% : 0.000012s : 73: predicate.merge_addn 0.36% : 0.000007s : 44: predicate.micro_step_allgather_replace 0.37% : 0.000008s : 44: predicate.mini_step_allgather_replace 1.07% : 0.000022s : 133: predicate.minmaximum_grad 0.84% : 0.000017s : 22: predicate.mutable_eliminate 0.21% : 0.000004s : 22: predicate.opt_reshape 0.20% : 0.000004s : 22: predicate.parallel_virtual_node 3.00% : 0.000061s : 219: predicate.partial_defer_inline 1.56% : 0.000032s : 170: predicate.partial_eliminate 1.12% : 0.000023s : 133: predicate.print_const_string_wrapper 0.55% : 0.000011s : 68: predicate.reduce_all_const_elim 1.37% : 0.000028s : 133: predicate.reduce_eliminate 3.96% : 0.000081s : 325: predicate.redundant_stop_gradient_eliminater 0.22% : 0.000004s : 45: predicate.remove_not_recompute_node 1.14% : 0.000023s : 192: predicate.replace_applicator 0.21% : 0.000004s : 45: predicate.replace_old_param 0.13% : 0.000003s : 22: predicate.reset_defer_inline 1.19% : 0.000024s : 133: predicate.reshape_eliminate 0.38% : 0.000008s : 44: predicate.row_tensor_add_zeros_like 0.19% : 0.000004s : 22: predicate.row_tensor_eliminate 0.49% : 0.000010s : 44: predicate.same_eliminate 0.28% : 0.000006s : 50: predicate.set_cell_output_no_recompute 0.41% : 0.000008s : 45: predicate.shard_identity_eliminate 0.70% : 0.000014s : 44: predicate.special_op_eliminate 0.78% : 0.000016s : 73: predicate.specialize_transform 0.44% : 0.000009s : 44: predicate.split_environ_get_set_with_tuple_value 0.42% : 0.000009s : 45: predicate.stack_unstack_eliminate 0.19% : 0.000004s : 22: predicate.switch_call_monad_eliminater 1.97% : 0.000040s : 219: predicate.switch_defer_inline 2.26% : 0.000046s : 263: predicate.switch_layer_defer_inline 6.47% : 0.000132s : 686: predicate.switch_simplify 1.10% : 0.000023s : 133: predicate.tile_eliminate 1.11% : 0.000023s : 133: predicate.transpose_eliminate 1.75% : 0.000036s : 177: predicate.tuple_list_convert_item_index_to_positive 1.70% : 0.000035s : 177: predicate.tuple_list_get_item_const_eliminator 1.59% : 0.000033s : 177: predicate.tuple_list_get_item_depend_reorder 3.02% : 0.000062s : 263: predicate.tuple_list_get_item_eliminator 1.67% : 0.000034s : 177: predicate.tuple_list_get_set_item_eliminator 2.43% : 0.000050s : 250: predicate.tuple_list_set_item_eliminator 1.51% : 0.000031s : 190: predicate.tuple_to_list_eliminator_ 2.55% : 0.000052s : 325: predicate.updatestate_pure_node_eliminater 3.23% : 0.000066s : 398: predicate.updatestate_useless_node_eliminater 0.20% : 0.000004s : 22: predicate.value_based_eliminate 0.41% : 0.000008s : 45: predicate.virtual_dataset_eliminate 0.42% : 0.000009s : 45: predicate.virtual_output_eliminate 0.18% : 0.000004s : 22: predicate.virtual_view_grad_eliminate 0.24% : 0.000005s : 22: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.017548 133 58.71% : 0.010302s : 53: func_graph_cloner_run.FuncGraphClonerGraph 41.29% : 0.007245s : 80: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.251453 209 0.00% : 0.000004s : 1: ForceFp32Comm 2.15% : 0.026939s : 1: add_attr 2.15% : 0.026916s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.02% : 0.000230s : 1: add_recomputation 0.00% : 0.000005s : 1: assign_add_opt 0.08% : 0.000994s : 1: auto_monad 0.01% : 0.000098s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000011s : 1: bias_add_comm_swap 0.06% : 0.000740s : 1: bootstrap 0.00% : 0.000054s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.01% : 0.000063s : 1: control_data_broadcast_order 0.00% : 0.000037s : 1: convert_after_rewriter 0.01% : 0.000084s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000055s : 1: environ_conv 0.02% : 0.000243s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000057s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000008s : 1: inline 0.00% : 0.000008s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000012s : 1: label_micro_interleaved_index 0.07% : 0.000836s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 2.12% : 0.026518s : 1: mutable_eliminate 0.00% : 0.000016s : 1: offloading_packed_experts 0.00% : 0.000052s : 1: opt.transform.loop_unroll_optimizer 0.01% : 0.000085s : 1: opt.transform.mutable_eliminate 2.90% : 0.036244s : 95: opt.transform.opt_a 0.02% : 0.000252s : 1: opt.transform.opt_after_cconv 0.01% : 0.000114s : 1: opt.transform.opt_after_jit_grad 0.06% : 0.000759s : 28: opt.transform.opt_b 0.02% : 0.000298s : 2: opt.transform.opt_trans_graph 0.02% : 0.000243s : 4: opt.transform.symbol_engine_opt 6.31% : 0.078950s : 1: opt_a 0.04% : 0.000466s : 1: opt_after_cconv 0.08% : 0.000969s : 1: opt_after_jit_grad 0.09% : 0.001070s : 1: opt_b 9.09% : 0.113739s : 1: optimize 0.00% : 0.000058s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000020s : 1: order_py_execute_after_rewriter 0.01% : 0.000072s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000014s : 1: overlap_grad_ring_attention 0.00% : 0.000004s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000006s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000010s : 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% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000010s : 1: parallel-infer-symbol 0.00% : 0.000005s : 1: parallel-infer-symbol-second 0.00% : 0.000008s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000006s : 1: pipeline_split 0.02% : 0.000284s : 1: pre_auto_parallel 0.02% : 0.000285s : 1: py_interpret_to_execute 0.00% : 0.000043s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.01% : 0.000133s : 1: remove_dup_value 2.56% : 0.032043s : 1: renormalize.infer 0.62% : 0.007780s : 1: renormalize.specialize 0.00% : 0.000008s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.07% : 0.000916s : 1: rewriter_after_opt_a 0.07% : 0.000906s : 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 0.13% : 0.001664s : 1: swap_dp_allreduce_reducescatter 0.05% : 0.000629s : 1: symbol_engine_optimizer 0.03% : 0.000342s : 1: tuple_transform 71.03% : 0.888897s : 1: type_inference . [hook] pytest_runtest_teardown:test_qbmm_ffn_2[True-k_n_shape0-1024] tests/st/infer/ops/test_internal_ops/test_qbmm_split.py::test_qbmm_ffn_2[True-k_n_shape0-1024],max_mem:160.0M =============================== 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_qbmm_split.py::test_qbmm_ffn_2[True-k_n_shape0-256] test_qbmm_split.py::test_qbmm_ffn_2[True-k_n_shape0-1024] /home/jenkins/mindspore/testcases/testcases/tests/st/infer/ops/test_internal_ops/st_utils.py:39: RuntimeWarning: invalid value encountered in divide err_cnt = np.sum(np.abs(out_flatten - expect_flatten) / -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 2 passed, 27 warnings in 426.86s (0:07:06) ==================