==================================================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_004/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 6 items test_matmul_split.py [WARNING] ME(169364:281472993333040,MainProcess):2026-01-29-17:37:38.897.839 [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 = 3.60463, [21] [bootstrap]: 0.00065758 [type_inference]: 3.4701 [event_method]: 2.046e-05 [auto_monad]: 0.00221813 [graph_reusing]: 7.03e-06 [inline]: 3.64002e-06 [add_attr]: 0.00902337, [1] [add_attr_with_inline]: 0.00900537, [1] [Cycle 1]: 0.00010158, [2] [tag_attr]: 2.455e-05 [meta_addattr_fg_expand]: 4.97999e-06 [parallel-infer-symbol]: 3.77998e-06 [pre_auto_parallel]: 5.2e-05 [insert-virtual-dataset]: 3.48e-06 [parallel-infer-symbol-second]: 9.60019e-07 [dataset_repeat_opt]: 2.68003e-06 [pipeline_split]: 1.92999e-06 [optimize]: 0.121371, [53] [py_interpret_to_execute]: 3.403e-05 [rewriter_before_opt_a]: 0.00010235 [opt_a]: 0.117378, [2] [Cycle 1]: 0.115622, [45] [expand_dump_flag]: 3.11001e-06 [switch_simplify]: 3.8e-05 [loop_unroll]: 2.131e-05 [a_1]: 0.0007802 [with_stream_mark]: 2.911e-05 [recompute_prepare]: 2.038e-05 [updatestate_depend_eliminate]: 9.76e-06 [updatestate_assign_eliminate]: 1.022e-05 [updatestate_loads_eliminate]: 1.132e-05 [parameter_eliminate]: 2.36e-06 [a_2]: 0.00024035 [accelerated_algorithm]: 4.456e-05 [shard]: 2.72001e-06 [meta_shard_fg_expand]: 3.76999e-06 [shard_inline]: 1.674e-05 [merge_send_recv]: 3.306e-05 [auto_parallel]: 1.477e-05 [parallel]: 4.323e-05 [flash_sp]: 2.055e-05 [merge_comm]: 1e-05 [allreduce_fusion]: 9.19e-06 [matmul_add_comm_reduction]: 1.812e-05 [allreduce_slice_to_reducescatter]: 9.79984e-07 [virtual_shard_identity]: 2.111e-05 [virtual_dataset]: 1.589e-05 [get_grad_eliminate_]: 1.595e-05 [virtual_output]: 1.63e-05 [merge_forward]: 9.39e-06 [cell_reuse_recompute_pass]: 2.04999e-06 [offload_activation]: 1.914e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.17e-05 [merge_recompute_call_nodes]: 1.71998e-06 [before_grad]: 2.611e-05 [set_forward_comm_id_for_comm_node_pass]: 9.15999e-06 [meta_fg_expand]: 6.63e-06 [flash_sp_send_recv_attached]: 5.24998e-06 [receive_attached]: 1.139e-05 [after_resolve]: 2.354e-05 [a_after_grad]: 2.825e-05 [renormalize]: 0.113171 [add_forward_monad_depend]: 1.222e-05 [auto_monad_grad]: 3.18e-06 [auto_monad_eliminator]: 5.972e-05 [cse]: 0.00028229 [a_3]: 0.00013638 [Cycle 2]: 0.00174083, [45] [expand_dump_flag]: 2.82002e-06 [switch_simplify]: 1.898e-05 [loop_unroll]: 1.639e-05 [a_1]: 0.00046137 [with_stream_mark]: 2.89e-05 [recompute_prepare]: 1.85e-05 [updatestate_depend_eliminate]: 9.59e-06 [updatestate_assign_eliminate]: 9.46998e-06 [updatestate_loads_eliminate]: 1.111e-05 [parameter_eliminate]: 2.99001e-06 [a_2]: 0.0002243 [accelerated_algorithm]: 2.168e-05 [shard]: 2.63e-06 [meta_shard_fg_expand]: 5.08002e-06 [shard_inline]: 1.663e-05 [merge_send_recv]: 1.577e-05 [auto_parallel]: 1.601e-05 [parallel]: 9.67001e-06 [flash_sp]: 4.70999e-06 [merge_comm]: 8.50001e-06 [allreduce_fusion]: 8.35001e-06 [matmul_add_comm_reduction]: 1.788e-05 [allreduce_slice_to_reducescatter]: 7.00005e-07 [virtual_shard_identity]: 1.86e-05 [virtual_dataset]: 1.537e-05 [get_grad_eliminate_]: 1.46e-05 [virtual_output]: 1.443e-05 [merge_forward]: 9.42999e-06 [cell_reuse_recompute_pass]: 3.00002e-06 [offload_activation]: 1.893e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.058e-05 [merge_recompute_call_nodes]: 2.07999e-06 [before_grad]: 2.561e-05 [set_forward_comm_id_for_comm_node_pass]: 9.39998e-06 [meta_fg_expand]: 6.56e-06 [flash_sp_send_recv_attached]: 1.71998e-06 [receive_attached]: 2.79001e-06 [after_resolve]: 2.347e-05 [a_after_grad]: 2.761e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 3.21999e-06 [auto_monad_grad]: 2.76999e-06 [auto_monad_eliminator]: 4.187e-05 [cse]: 0.00017166 [a_3]: 0.00010866 [py_interpret_to_execute_after_opt_a]: 2.822e-05 [slice_cell_reuse_recomputed_activation]: 2.31e-06 [rewriter_after_opt_a]: 0.00028993 [convert_after_rewriter]: 2.792e-05 [order_py_execute_after_rewriter]: 1.124e-05 [mutable_eliminate]: 0.00086776 [opt_b]: 0.00056195, [1] [Cycle 1]: 0.00055341, [7] [b_1]: 0.0003785 [b_2]: 1.94e-05 [updatestate_depend_eliminate]: 1.427e-05 [updatestate_assign_eliminate]: 7.94002e-06 [updatestate_loads_eliminate]: 9.57001e-06 [renormalize]: 8.2e-07 [cse]: 8.195e-05 [optimize_parallel_all_gather_comm]: 3.154e-05 [overlap_param_gather]: 6.39999e-06 [cconv]: 3.799e-05 [loop_unroll]: 0.00055401 [opt_after_cconv]: 0.00025116, [1] [Cycle 1]: 0.00024332, [7] [c_1]: 0.00010676 [parameter_eliminate]: 5.37001e-06 [updatestate_depend_eliminate]: 1.328e-05 [updatestate_assign_eliminate]: 7.53999e-06 [updatestate_loads_eliminate]: 9.07001e-06 [cse]: 5.919e-05 [renormalize]: 7.89994e-07 [remove_dup_value]: 8.063e-05 [tuple_transform]: 0.00017878, [1] [Cycle 1]: 0.00017081, [4] [d_1]: 0.00012019 [none_parameter_eliminate]: 2.74999e-06 [renormalize]: 4.89992e-07 [switch_simplify]: 2.166e-05 [partial_unused_args_eliminate]: 2.67001e-06 [add_recomputation]: 0.00012494 [cse_after_recomputation]: 6.237e-05, [1] [Cycle 1]: 5.616e-05, [1] [cse]: 4.857e-05 [environ_conv]: 3.641e-05 [swap_dp_allreduce_reducescatter]: 1.44e-05 [bias_add_comm_swap]: 4e-06 [label_micro_interleaved_index]: 6.15002e-06 [label_fine_grained_interleaved_index]: 2.83e-06 [merge_cast_opt]: 1.37999e-06 [slice_recompute_activation]: 2.69001e-06 [micro_interleaved_order_control]: 2.58998e-06 [assign_add_opt]: 1.40999e-06 [ForceFp32Comm]: 8.80013e-07 [remove_cast_before_assign_add]: 1.00001e-06 [full_micro_interleaved_order_control]: 2.37999e-06 [reorder_send_recv_between_fp_bp]: 2.73e-06 [comm_op_add_attrs]: 1.13001e-06 [add_comm_op_reuse_tag]: 1.00999e-06 [interleave_split_concat_branches]: 1.15999e-06 [interleave_parallel_branches]: 1.10001e-06 [overlap_opt_shard_in_pipeline]: 4.454e-05 [overlap_opt_shard_grad_in_pipeline]: 2.28002e-06 [control_data_broadcast_order]: 3.195e-05 [grouped_pairwise_exchange_alltoall]: 1.51002e-06 [offloading_packed_experts]: 8.48001e-06 [overlap_recompute_and_grad_model_parallel]: 9.08002e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.29e-06 [overlap_recompute_allgather_and_fa_grad]: 1.22e-06 [overlap_recompute_comm]: 2.22001e-06 [overlap_grad_ring_attention]: 7.36999e-06 [overlap_grad_flash_sp]: 5.72e-05 [begin_end_overlap_inline]: 5.8001e-07 [split_matmul_comm_elemetwise]: 2.41e-06 [split_layernorm_comm]: 2.08002e-06 [handle_group_info]: 1.40999e-06 [symbol_engine_optimizer]: 0.00018548, [1] [Cycle 1]: 0.00017705, [6] [build]: 1.862e-05 [elim_shapecalc]: 2.852e-05 [elim_not_effective]: 3.633e-05 [opt_reshape]: 2.471e-05 [fold_const_symbol]: 2.691e-05 [renormalize]: 2.00002e-07 [detach_backward]: 3.08e-06 [pipeline_parallel_scheduler]: 1.96e-06 [auto_monad_reorder]: 5.955e-05 [get_jit_bprop_graph]: 1.89e-06 [rewriter_after_jit_bprop_graph]: 8.33001e-06 [opt_after_jit_grad]: 0.00072677 [validate]: 0.00012294 Sums bootstrap : 0.000658s : 0.02% type_inference : 3.470095s : 96.54% event_method : 0.000020s : 0.00% auto_monad : 0.002218s : 0.06% graph_reusing : 0.000007s : 0.00% inline : 0.000004s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000025s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000005s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000052s : 0.00% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000003s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000034s : 0.00% optimize.rewriter_before_opt_a : 0.000102s : 0.00% optimize.opt_a.expand_dump_flag : 0.000006s : 0.00% optimize.opt_a.switch_simplify : 0.000057s : 0.00% optimize.opt_a.loop_unroll : 0.000038s : 0.00% optimize.opt_a.a_1 : 0.001242s : 0.03% optimize.opt_a.with_stream_mark : 0.000058s : 0.00% optimize.opt_a.recompute_prepare : 0.000039s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000019s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000020s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000022s : 0.00% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.000465s : 0.01% optimize.opt_a.accelerated_algorithm : 0.000066s : 0.00% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000009s : 0.00% optimize.opt_a.shard_inline : 0.000033s : 0.00% optimize.opt_a.merge_send_recv : 0.000049s : 0.00% optimize.opt_a.auto_parallel : 0.000031s : 0.00% optimize.opt_a.parallel : 0.000053s : 0.00% optimize.opt_a.flash_sp : 0.000025s : 0.00% optimize.opt_a.merge_comm : 0.000019s : 0.00% optimize.opt_a.allreduce_fusion : 0.000018s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000036s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000040s : 0.00% optimize.opt_a.virtual_dataset : 0.000031s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000031s : 0.00% optimize.opt_a.virtual_output : 0.000031s : 0.00% optimize.opt_a.merge_forward : 0.000019s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% optimize.opt_a.offload_activation : 0.000038s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000062s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000004s : 0.00% optimize.opt_a.before_grad : 0.000052s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000019s : 0.00% optimize.opt_a.meta_fg_expand : 0.000013s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000007s : 0.00% optimize.opt_a.receive_attached : 0.000014s : 0.00% optimize.opt_a.after_resolve : 0.000047s : 0.00% optimize.opt_a.a_after_grad : 0.000056s : 0.00% optimize.opt_a.renormalize : 0.113171s : 3.15% optimize.opt_a.add_forward_monad_depend : 0.000015s : 0.00% optimize.opt_a.auto_monad_grad : 0.000006s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000102s : 0.00% optimize.opt_a.cse : 0.000454s : 0.01% optimize.opt_a.a_3 : 0.000245s : 0.01% optimize.py_interpret_to_execute_after_opt_a : 0.000028s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000290s : 0.01% optimize.convert_after_rewriter : 0.000028s : 0.00% optimize.order_py_execute_after_rewriter : 0.000011s : 0.00% optimize.mutable_eliminate : 0.000868s : 0.02% optimize.opt_b.b_1 : 0.000379s : 0.01% optimize.opt_b.b_2 : 0.000019s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000014s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000008s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000010s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000082s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.000032s : 0.00% optimize.overlap_param_gather : 0.000006s : 0.00% optimize.cconv : 0.000038s : 0.00% optimize.loop_unroll : 0.000554s : 0.02% optimize.opt_after_cconv.c_1 : 0.000107s : 0.00% optimize.opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000009s : 0.00% optimize.opt_after_cconv.cse : 0.000059s : 0.00% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000081s : 0.00% optimize.tuple_transform.d_1 : 0.000120s : 0.00% optimize.tuple_transform.none_parameter_eliminate : 0.000003s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000022s : 0.00% optimize.partial_unused_args_eliminate : 0.000003s : 0.00% optimize.add_recomputation : 0.000125s : 0.00% optimize.cse_after_recomputation.cse : 0.000049s : 0.00% optimize.environ_conv : 0.000036s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000014s : 0.00% optimize.bias_add_comm_swap : 0.000004s : 0.00% optimize.label_micro_interleaved_index : 0.000006s : 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 : 0.000001s : 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 : 0.000045s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000032s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000008s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000009s : 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 : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000007s : 0.00% optimize.overlap_grad_flash_sp : 0.000057s : 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 : 0.000019s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000029s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000036s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000025s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000027s : 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 : 0.000060s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000727s : 0.02% validate : 0.000123s : 0.00% Time group info: ------[substitution.] 0.000300 96 4.04% : 0.000012s : 2: substitution.depend_value_elim 1.47% : 0.000004s : 8: substitution.elim_not_effective 1.48% : 0.000004s : 8: substitution.fold_const_symbol 4.09% : 0.000012s : 13: substitution.graph_param_transform 45.31% : 0.000136s : 1: substitution.inline 3.04% : 0.000009s : 16: substitution.j_node_and_user_rematch 8.21% : 0.000025s : 2: substitution.less_batch_normalization 2.10% : 0.000006s : 6: substitution.load_eliminater 0.85% : 0.000003s : 2: substitution.opt_reshape 4.12% : 0.000012s : 16: substitution.remove_not_recompute_node 2.71% : 0.000008s : 4: substitution.replace_old_param 9.72% : 0.000029s : 4: substitution.reshape_eliminate 6.34% : 0.000019s : 6: substitution.updatestate_pure_node_eliminater 6.51% : 0.000020s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 3.469966 2 97.31% : 3.376527s : 1: type_inference.infer 2.69% : 0.093439s : 1: type_inference.specialize ------[replace.] 0.000021 1 100.00% : 0.000021s : 1: replace.inline ------[match.] 0.000134 1 100.00% : 0.000134s : 1: match.inline ------[predicate.] 0.000507 3002 0.73% : 0.000004s : 27: predicate.accumulaten_eliminater 0.86% : 0.000004s : 13: predicate.ad_related_special_op_eliminate 0.69% : 0.000003s : 26: predicate.addn_check_dump 0.68% : 0.000003s : 27: predicate.addn_zero_filter 0.68% : 0.000003s : 27: predicate.adjust_all_reduce_mul_add 1.85% : 0.000009s : 53: predicate.arithmetic_simplify 0.69% : 0.000004s : 27: predicate.cast_eliminate 0.72% : 0.000004s : 26: predicate.check_bprop_eliminate 0.66% : 0.000003s : 26: predicate.compare_switch_simplify 0.21% : 0.000001s : 13: predicate.const_output_eliminate 0.79% : 0.000004s : 26: predicate.depend_value_elim 0.75% : 0.000004s : 27: predicate.dict_get_item_const_eliminator 0.75% : 0.000004s : 27: predicate.dict_get_item_eliminator 0.66% : 0.000003s : 27: predicate.dict_set_item_eliminator 1.10% : 0.000006s : 26: predicate.dumpgradient_eliminate 0.27% : 0.000001s : 13: predicate.elim_not_effective 0.45% : 0.000002s : 13: predicate.elim_shapecalc_of_broadcastargs 1.01% : 0.000005s : 40: predicate.environ_add_const_eliminate 1.04% : 0.000005s : 40: predicate.environ_get_add_eliminate 1.00% : 0.000005s : 40: predicate.environ_get_depend_swap 1.62% : 0.000008s : 66: predicate.environ_get_eliminate 1.02% : 0.000005s : 40: predicate.environ_get_set_eliminate 0.69% : 0.000004s : 28: predicate.exchange_switch_depend_value 1.12% : 0.000006s : 28: predicate.float_depend_g_call 0.69% : 0.000004s : 26: predicate.float_environ_get_switch 0.93% : 0.000005s : 39: predicate.float_tuple_getitem_switch 0.20% : 0.000001s : 13: predicate.fold_const_symbol 0.79% : 0.000004s : 26: predicate.get_grad_eliminate 0.24% : 0.000001s : 13: predicate.graph_param_transform 0.65% : 0.000003s : 26: predicate.incorporate_call 0.61% : 0.000003s : 26: predicate.incorporate_call_switch 4.73% : 0.000024s : 133: predicate.inline 1.07% : 0.000005s : 26: predicate.inline_without_move 0.38% : 0.000002s : 26: predicate.j_node_and_user_rematch 1.08% : 0.000006s : 27: predicate.less_batch_normalization 1.54% : 0.000008s : 53: predicate.list_to_tuple_eliminator_ 1.98% : 0.000010s : 80: predicate.load_eliminater 0.94% : 0.000005s : 13: predicate.loop_unroll_after_grad 0.93% : 0.000005s : 31: predicate.loop_unroll_before_grad 1.53% : 0.000008s : 53: predicate.make_slice_get_slice_eliminator 0.69% : 0.000004s : 26: predicate.merge_addn 0.74% : 0.000004s : 26: predicate.micro_step_allgather_replace 0.70% : 0.000004s : 26: predicate.mini_step_allgather_replace 0.67% : 0.000003s : 27: predicate.minmaximum_grad 1.08% : 0.000006s : 13: predicate.mutable_eliminate 0.60% : 0.000003s : 13: predicate.opt_reshape 0.38% : 0.000002s : 13: predicate.parallel_virtual_node 0.91% : 0.000005s : 28: predicate.partial_defer_inline 1.14% : 0.000006s : 40: predicate.partial_eliminate 0.74% : 0.000004s : 27: predicate.print_const_string_wrapper 0.70% : 0.000004s : 26: predicate.reduce_all_const_elim 0.95% : 0.000005s : 27: predicate.reduce_eliminate 2.02% : 0.000010s : 80: predicate.redundant_stop_gradient_eliminater 0.42% : 0.000002s : 26: predicate.remove_not_recompute_node 1.19% : 0.000006s : 53: predicate.replace_applicator 0.54% : 0.000003s : 26: predicate.replace_old_param 0.35% : 0.000002s : 13: predicate.reset_defer_inline 0.88% : 0.000004s : 27: predicate.reshape_eliminate 0.72% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.49% : 0.000002s : 13: predicate.row_tensor_eliminate 1.17% : 0.000006s : 26: predicate.same_eliminate 0.54% : 0.000003s : 26: predicate.set_cell_output_no_recompute 0.85% : 0.000004s : 26: predicate.shard_identity_eliminate 0.83% : 0.000004s : 26: predicate.special_op_eliminate 0.77% : 0.000004s : 26: predicate.specialize_transform 0.96% : 0.000005s : 26: predicate.split_environ_get_set_with_tuple_value 0.92% : 0.000005s : 26: predicate.stack_unstack_eliminate 0.40% : 0.000002s : 13: predicate.switch_call_monad_eliminater 0.79% : 0.000004s : 28: predicate.switch_defer_inline 1.43% : 0.000007s : 54: predicate.switch_layer_defer_inline 2.95% : 0.000015s : 98: predicate.switch_simplify 0.71% : 0.000004s : 27: predicate.tile_eliminate 0.70% : 0.000004s : 27: predicate.transpose_eliminate 1.57% : 0.000008s : 53: predicate.tuple_list_convert_item_index_to_positive 1.64% : 0.000008s : 53: predicate.tuple_list_get_item_const_eliminator 1.33% : 0.000007s : 53: predicate.tuple_list_get_item_depend_reorder 2.58% : 0.000013s : 79: predicate.tuple_list_get_item_eliminator 14.21% : 0.000072s : 53: predicate.tuple_list_get_set_item_eliminator 2.18% : 0.000011s : 79: predicate.tuple_list_set_item_eliminator 1.44% : 0.000007s : 53: predicate.tuple_to_list_eliminator_ 2.02% : 0.000010s : 80: predicate.updatestate_pure_node_eliminater 3.01% : 0.000015s : 106: predicate.updatestate_useless_node_eliminater 0.38% : 0.000002s : 13: predicate.value_based_eliminate 0.80% : 0.000004s : 26: predicate.virtual_dataset_eliminate 0.73% : 0.000004s : 26: predicate.virtual_output_eliminate 0.31% : 0.000002s : 13: predicate.virtual_view_grad_eliminate 0.48% : 0.000002s : 13: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.011251 56 80.69% : 0.009079s : 53: func_graph_cloner_run.FuncGraphClonerGraph 19.31% : 0.002173s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.851183 192 0.00% : 0.000003s : 1: ForceFp32Comm 0.23% : 0.009031s : 1: add_attr 0.23% : 0.009011s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.00% : 0.000133s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.06% : 0.002246s : 1: auto_monad 0.00% : 0.000068s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.02% : 0.000696s : 1: bootstrap 0.00% : 0.000042s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000037s : 1: control_data_broadcast_order 0.00% : 0.000033s : 1: convert_after_rewriter 0.00% : 0.000066s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000041s : 1: environ_conv 0.00% : 0.000029s : 1: event_method 0.00% : 0.000006s : 1: full_micro_interleaved_order_control 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000013s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000005s : 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% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000009s : 1: label_micro_interleaved_index 0.01% : 0.000565s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.02% : 0.000881s : 1: mutable_eliminate 0.00% : 0.000012s : 1: offloading_packed_experts 0.00% : 0.000031s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000038s : 1: opt.transform.mutable_eliminate 0.06% : 0.002414s : 78: opt.transform.opt_a 0.00% : 0.000105s : 1: opt.transform.opt_after_cconv 0.00% : 0.000066s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.000360s : 28: opt.transform.opt_b 0.00% : 0.000137s : 2: opt.transform.opt_trans_graph 0.00% : 0.000110s : 4: opt.transform.symbol_engine_opt 3.05% : 0.117382s : 1: opt_a 0.01% : 0.000256s : 1: opt_after_cconv 0.02% : 0.000744s : 1: opt_after_jit_grad 0.01% : 0.000566s : 1: opt_b 3.15% : 0.121378s : 1: optimize 0.00% : 0.000036s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000015s : 1: order_py_execute_after_rewriter 0.00% : 0.000062s : 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% : 0.000006s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000051s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000010s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000012s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 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% : 0.000006s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.00% : 0.000057s : 1: pre_auto_parallel 0.00% : 0.000038s : 1: py_interpret_to_execute 0.00% : 0.000033s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000087s : 1: remove_dup_value 2.87% : 0.110665s : 1: renormalize.infer 0.06% : 0.002489s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000298s : 1: rewriter_after_opt_a 0.00% : 0.000107s : 1: rewriter_before_opt_a 0.00% : 0.000005s : 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% : 0.000018s : 1: swap_dp_allreduce_reducescatter 0.00% : 0.000189s : 1: symbol_engine_optimizer 0.00% : 0.000182s : 1: tuple_transform 90.11% : 3.470127s : 1: type_inference . [hook] pytest_runtest_teardown:test_matmul_ffn_bf16_1[False-mstype0-k_n_shape0-256] tests/st/infer/ops/test_internal_ops/test_matmul_split.py::test_matmul_ffn_bf16_1[False-mstype0-k_n_shape0-256],max_mem:306.0M [WARNING] ME(169364:281472993333040,MainProcess):2026-01-29-17:39:03.674.637 [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 = 3.82, [21] [bootstrap]: 0.00130032 [type_inference]: 3.49624 [event_method]: 1.957e-05 [auto_monad]: 0.00035538 [graph_reusing]: 6.96001e-06 [inline]: 3.45e-06 [add_attr]: 0.111381, [1] [add_attr_with_inline]: 0.111364, [1] [Cycle 1]: 9.774e-05, [2] [tag_attr]: 4.146e-05 [meta_addattr_fg_expand]: 4.73001e-06 [parallel-infer-symbol]: 4.80999e-06 [pre_auto_parallel]: 3.991e-05 [insert-virtual-dataset]: 2.48e-06 [parallel-infer-symbol-second]: 6.59988e-07 [dataset_repeat_opt]: 2.07999e-06 [pipeline_split]: 1.52999e-06 [optimize]: 0.209156, [53] [py_interpret_to_execute]: 3.729e-05 [rewriter_before_opt_a]: 8.955e-05 [opt_a]: 0.0167343, [2] [Cycle 1]: 0.0150329, [45] [expand_dump_flag]: 2.74999e-06 [switch_simplify]: 3.433e-05 [loop_unroll]: 2.028e-05 [a_1]: 0.0008428 [with_stream_mark]: 3.064e-05 [recompute_prepare]: 2.776e-05 [updatestate_depend_eliminate]: 1.217e-05 [updatestate_assign_eliminate]: 8.56002e-06 [updatestate_loads_eliminate]: 1.04e-05 [parameter_eliminate]: 2.22999e-06 [a_2]: 0.00026286 [accelerated_algorithm]: 4.854e-05 [shard]: 2.59999e-06 [meta_shard_fg_expand]: 4.50001e-06 [shard_inline]: 1.826e-05 [merge_send_recv]: 1.47e-05 [auto_parallel]: 1.497e-05 [parallel]: 3.211e-05 [flash_sp]: 1.312e-05 [merge_comm]: 9.00001e-06 [allreduce_fusion]: 7.48e-06 [matmul_add_comm_reduction]: 1.795e-05 [allreduce_slice_to_reducescatter]: 8.80013e-07 [virtual_shard_identity]: 1.902e-05 [virtual_dataset]: 1.628e-05 [get_grad_eliminate_]: 1.689e-05 [virtual_output]: 1.674e-05 [merge_forward]: 8.04997e-06 [cell_reuse_recompute_pass]: 2.76999e-06 [offload_activation]: 1.93e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.173e-05 [merge_recompute_call_nodes]: 1.72999e-06 [before_grad]: 2.997e-05 [set_forward_comm_id_for_comm_node_pass]: 9.12999e-06 [meta_fg_expand]: 7.67002e-06 [flash_sp_send_recv_attached]: 7.31001e-06 [receive_attached]: 2.84001e-06 [after_resolve]: 2.486e-05 [a_after_grad]: 2.847e-05 [renormalize]: 0.0115871 [add_forward_monad_depend]: 1.536e-05 [auto_monad_grad]: 3.75998e-06 [auto_monad_eliminator]: 6.957e-05 [cse]: 0.00115154 [a_3]: 0.00015361 [Cycle 2]: 0.00168456, [45] [expand_dump_flag]: 4.87e-06 [switch_simplify]: 1.964e-05 [loop_unroll]: 1.771e-05 [a_1]: 0.00048731 [with_stream_mark]: 3.825e-05 [recompute_prepare]: 1.91e-05 [updatestate_depend_eliminate]: 1.057e-05 [updatestate_assign_eliminate]: 7.95998e-06 [updatestate_loads_eliminate]: 1.125e-05 [parameter_eliminate]: 2.56e-06 [a_2]: 0.00022227 [accelerated_algorithm]: 2.282e-05 [shard]: 2.30002e-06 [meta_shard_fg_expand]: 5.81e-06 [shard_inline]: 1.579e-05 [merge_send_recv]: 1.572e-05 [auto_parallel]: 1.516e-05 [parallel]: 1.065e-05 [flash_sp]: 4.60999e-06 [merge_comm]: 8.37e-06 [allreduce_fusion]: 8.60001e-06 [matmul_add_comm_reduction]: 1.767e-05 [allreduce_slice_to_reducescatter]: 9.70002e-07 [virtual_shard_identity]: 1.872e-05 [virtual_dataset]: 1.615e-05 [get_grad_eliminate_]: 1.56e-05 [virtual_output]: 1.554e-05 [merge_forward]: 8.95999e-06 [cell_reuse_recompute_pass]: 3.78001e-06 [offload_activation]: 1.746e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.954e-05 [merge_recompute_call_nodes]: 1.50999e-06 [before_grad]: 2.538e-05 [set_forward_comm_id_for_comm_node_pass]: 9.67999e-06 [meta_fg_expand]: 7.37997e-06 [flash_sp_send_recv_attached]: 1.84e-06 [receive_attached]: 2.29001e-06 [after_resolve]: 2.258e-05 [a_after_grad]: 2.779e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 4.52e-06 [auto_monad_grad]: 2.75002e-06 [auto_monad_eliminator]: 6.074e-05 [cse]: 6.268e-05 [a_3]: 0.00010468 [py_interpret_to_execute_after_opt_a]: 2.877e-05 [slice_cell_reuse_recomputed_activation]: 2.59001e-06 [rewriter_after_opt_a]: 0.00020886 [convert_after_rewriter]: 1.599e-05 [order_py_execute_after_rewriter]: 1.103e-05 [mutable_eliminate]: 0.00080712 [opt_b]: 0.188848, [1] [Cycle 1]: 0.188836, [7] [b_1]: 0.188544 [b_2]: 2.892e-05 [updatestate_depend_eliminate]: 2.198e-05 [updatestate_assign_eliminate]: 8.98002e-06 [updatestate_loads_eliminate]: 1.188e-05 [renormalize]: 1.02e-06 [cse]: 0.00013168 [optimize_parallel_all_gather_comm]: 4.035e-05 [overlap_param_gather]: 2.02999e-06 [cconv]: 4.614e-05 [loop_unroll]: 0.00089365 [opt_after_cconv]: 0.00027996, [1] [Cycle 1]: 0.00026765, [7] [c_1]: 0.00011457 [parameter_eliminate]: 6.54001e-06 [updatestate_depend_eliminate]: 1.759e-05 [updatestate_assign_eliminate]: 8.39002e-06 [updatestate_loads_eliminate]: 1.159e-05 [cse]: 6.784e-05 [renormalize]: 1.52001e-06 [remove_dup_value]: 7.704e-05 [tuple_transform]: 0.00017016, [1] [Cycle 1]: 0.00016451, [4] [d_1]: 0.00012178 [none_parameter_eliminate]: 2.80997e-06 [renormalize]: 2.89991e-07 [switch_simplify]: 1.736e-05 [partial_unused_args_eliminate]: 1.99999e-06 [add_recomputation]: 0.00014528 [cse_after_recomputation]: 6.003e-05, [1] [Cycle 1]: 5.471e-05, [1] [cse]: 4.62e-05 [environ_conv]: 2.296e-05 [swap_dp_allreduce_reducescatter]: 1.197e-05 [bias_add_comm_swap]: 3.81001e-06 [label_micro_interleaved_index]: 9.24e-06 [label_fine_grained_interleaved_index]: 3.55e-06 [merge_cast_opt]: 1.96e-06 [slice_recompute_activation]: 2.38998e-06 [micro_interleaved_order_control]: 3.01001e-06 [assign_add_opt]: 1.45999e-06 [ForceFp32Comm]: 1.42999e-06 [remove_cast_before_assign_add]: 1.27e-06 [full_micro_interleaved_order_control]: 2.45002e-06 [reorder_send_recv_between_fp_bp]: 3.43999e-06 [comm_op_add_attrs]: 1.14e-06 [add_comm_op_reuse_tag]: 1.07998e-06 [interleave_split_concat_branches]: 1.38002e-06 [interleave_parallel_branches]: 1.19998e-06 [overlap_opt_shard_in_pipeline]: 1.62001e-06 [overlap_opt_shard_grad_in_pipeline]: 2.43998e-06 [control_data_broadcast_order]: 3.096e-05 [grouped_pairwise_exchange_alltoall]: 1.81e-06 [offloading_packed_experts]: 7.48e-06 [overlap_recompute_and_grad_model_parallel]: 7.95e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.32999e-06 [overlap_recompute_allgather_and_fa_grad]: 1.81e-06 [overlap_recompute_comm]: 3.25e-06 [overlap_grad_ring_attention]: 8.37e-06 [overlap_grad_flash_sp]: 4.373e-05 [begin_end_overlap_inline]: 5.89993e-07 [split_matmul_comm_elemetwise]: 2.79999e-06 [split_layernorm_comm]: 1.66e-06 [handle_group_info]: 1.45001e-06 [symbol_engine_optimizer]: 0.00017789, [1] [Cycle 1]: 0.00017142, [6] [build]: 2.035e-05 [elim_shapecalc]: 2.813e-05 [elim_not_effective]: 3.404e-05 [opt_reshape]: 2.514e-05 [fold_const_symbol]: 2.533e-05 [renormalize]: 4.2998e-07 [detach_backward]: 3.23998e-06 [pipeline_parallel_scheduler]: 1.59998e-06 [auto_monad_reorder]: 5.373e-05 [get_jit_bprop_graph]: 2.76999e-06 [rewriter_after_jit_bprop_graph]: 9.02999e-06 [opt_after_jit_grad]: 0.00105867 [validate]: 0.00012091 Sums bootstrap : 0.001300s : 0.04% type_inference : 3.496237s : 94.31% event_method : 0.000020s : 0.00% auto_monad : 0.000355s : 0.01% graph_reusing : 0.000007s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000041s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000005s : 0.00% parallel-infer-symbol : 0.000005s : 0.00% pre_auto_parallel : 0.000040s : 0.00% insert-virtual-dataset : 0.000002s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000037s : 0.00% optimize.rewriter_before_opt_a : 0.000090s : 0.00% optimize.opt_a.expand_dump_flag : 0.000008s : 0.00% optimize.opt_a.switch_simplify : 0.000054s : 0.00% optimize.opt_a.loop_unroll : 0.000038s : 0.00% optimize.opt_a.a_1 : 0.001330s : 0.04% optimize.opt_a.with_stream_mark : 0.000069s : 0.00% optimize.opt_a.recompute_prepare : 0.000047s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000023s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000017s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000022s : 0.00% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.000485s : 0.01% optimize.opt_a.accelerated_algorithm : 0.000071s : 0.00% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000010s : 0.00% optimize.opt_a.shard_inline : 0.000034s : 0.00% optimize.opt_a.merge_send_recv : 0.000030s : 0.00% optimize.opt_a.auto_parallel : 0.000030s : 0.00% optimize.opt_a.parallel : 0.000043s : 0.00% optimize.opt_a.flash_sp : 0.000018s : 0.00% optimize.opt_a.merge_comm : 0.000017s : 0.00% optimize.opt_a.allreduce_fusion : 0.000016s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000036s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000038s : 0.00% optimize.opt_a.virtual_dataset : 0.000032s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000032s : 0.00% optimize.opt_a.virtual_output : 0.000032s : 0.00% optimize.opt_a.merge_forward : 0.000017s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000007s : 0.00% optimize.opt_a.offload_activation : 0.000037s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000061s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000055s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000019s : 0.00% optimize.opt_a.meta_fg_expand : 0.000015s : 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 : 0.000047s : 0.00% optimize.opt_a.a_after_grad : 0.000056s : 0.00% optimize.opt_a.renormalize : 0.011587s : 0.31% optimize.opt_a.add_forward_monad_depend : 0.000020s : 0.00% optimize.opt_a.auto_monad_grad : 0.000007s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000130s : 0.00% optimize.opt_a.cse : 0.001214s : 0.03% optimize.opt_a.a_3 : 0.000258s : 0.01% optimize.py_interpret_to_execute_after_opt_a : 0.000029s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000209s : 0.01% optimize.convert_after_rewriter : 0.000016s : 0.00% optimize.order_py_execute_after_rewriter : 0.000011s : 0.00% optimize.mutable_eliminate : 0.000807s : 0.02% optimize.opt_b.b_1 : 0.188544s : 5.09% optimize.opt_b.b_2 : 0.000029s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000022s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000009s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000012s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000132s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.000040s : 0.00% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000046s : 0.00% optimize.loop_unroll : 0.000894s : 0.02% optimize.opt_after_cconv.c_1 : 0.000115s : 0.00% optimize.opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000018s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000012s : 0.00% optimize.opt_after_cconv.cse : 0.000068s : 0.00% optimize.opt_after_cconv.renormalize : 0.000002s : 0.00% optimize.remove_dup_value : 0.000077s : 0.00% optimize.tuple_transform.d_1 : 0.000122s : 0.00% optimize.tuple_transform.none_parameter_eliminate : 0.000003s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000017s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000145s : 0.00% optimize.cse_after_recomputation.cse : 0.000046s : 0.00% optimize.environ_conv : 0.000023s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000012s : 0.00% optimize.bias_add_comm_swap : 0.000004s : 0.00% optimize.label_micro_interleaved_index : 0.000009s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000004s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 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 : 0.000002s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000031s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000007s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000008s : 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 : 0.000008s : 0.00% optimize.overlap_grad_flash_sp : 0.000044s : 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 : 0.000020s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000028s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000034s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000025s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000025s : 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 : 0.000054s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.001059s : 0.03% validate : 0.000121s : 0.00% Time group info: ------[substitution.] 0.000315 96 3.74% : 0.000012s : 2: substitution.depend_value_elim 1.41% : 0.000004s : 8: substitution.elim_not_effective 1.06% : 0.000003s : 8: substitution.fold_const_symbol 3.97% : 0.000012s : 13: substitution.graph_param_transform 41.63% : 0.000131s : 1: substitution.inline 2.85% : 0.000009s : 16: substitution.j_node_and_user_rematch 8.24% : 0.000026s : 2: substitution.less_batch_normalization 2.77% : 0.000009s : 6: substitution.load_eliminater 1.03% : 0.000003s : 2: substitution.opt_reshape 4.07% : 0.000013s : 16: substitution.remove_not_recompute_node 2.66% : 0.000008s : 4: substitution.replace_old_param 10.42% : 0.000033s : 4: substitution.reshape_eliminate 9.08% : 0.000029s : 6: substitution.updatestate_pure_node_eliminater 7.09% : 0.000022s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 3.496107 2 93.75% : 3.277730s : 1: type_inference.infer 6.25% : 0.218377s : 1: type_inference.specialize ------[replace.] 0.000020 1 100.00% : 0.000020s : 1: replace.inline ------[match.] 0.000130 1 100.00% : 0.000130s : 1: match.inline ------[predicate.] 0.000483 3002 0.72% : 0.000003s : 27: predicate.accumulaten_eliminater 1.36% : 0.000007s : 13: predicate.ad_related_special_op_eliminate 0.75% : 0.000004s : 26: predicate.addn_check_dump 0.76% : 0.000004s : 27: predicate.addn_zero_filter 0.68% : 0.000003s : 27: predicate.adjust_all_reduce_mul_add 2.08% : 0.000010s : 53: predicate.arithmetic_simplify 0.77% : 0.000004s : 27: predicate.cast_eliminate 0.90% : 0.000004s : 26: predicate.check_bprop_eliminate 0.75% : 0.000004s : 26: predicate.compare_switch_simplify 0.23% : 0.000001s : 13: predicate.const_output_eliminate 0.87% : 0.000004s : 26: predicate.depend_value_elim 0.79% : 0.000004s : 27: predicate.dict_get_item_const_eliminator 0.83% : 0.000004s : 27: predicate.dict_get_item_eliminator 0.75% : 0.000004s : 27: predicate.dict_set_item_eliminator 1.27% : 0.000006s : 26: predicate.dumpgradient_eliminate 0.26% : 0.000001s : 13: predicate.elim_not_effective 0.47% : 0.000002s : 13: predicate.elim_shapecalc_of_broadcastargs 1.12% : 0.000005s : 40: predicate.environ_add_const_eliminate 1.15% : 0.000006s : 40: predicate.environ_get_add_eliminate 1.09% : 0.000005s : 40: predicate.environ_get_depend_swap 1.88% : 0.000009s : 66: predicate.environ_get_eliminate 1.03% : 0.000005s : 40: predicate.environ_get_set_eliminate 0.72% : 0.000003s : 28: predicate.exchange_switch_depend_value 1.22% : 0.000006s : 28: predicate.float_depend_g_call 0.71% : 0.000003s : 26: predicate.float_environ_get_switch 1.10% : 0.000005s : 39: predicate.float_tuple_getitem_switch 0.22% : 0.000001s : 13: predicate.fold_const_symbol 0.80% : 0.000004s : 26: predicate.get_grad_eliminate 0.28% : 0.000001s : 13: predicate.graph_param_transform 0.75% : 0.000004s : 26: predicate.incorporate_call 0.69% : 0.000003s : 26: predicate.incorporate_call_switch 5.24% : 0.000025s : 133: predicate.inline 0.98% : 0.000005s : 26: predicate.inline_without_move 0.43% : 0.000002s : 26: predicate.j_node_and_user_rematch 1.07% : 0.000005s : 27: predicate.less_batch_normalization 1.53% : 0.000007s : 53: predicate.list_to_tuple_eliminator_ 2.18% : 0.000011s : 80: predicate.load_eliminater 1.32% : 0.000006s : 13: predicate.loop_unroll_after_grad 1.04% : 0.000005s : 31: predicate.loop_unroll_before_grad 2.30% : 0.000011s : 53: predicate.make_slice_get_slice_eliminator 0.73% : 0.000004s : 26: predicate.merge_addn 0.77% : 0.000004s : 26: predicate.micro_step_allgather_replace 0.77% : 0.000004s : 26: predicate.mini_step_allgather_replace 0.70% : 0.000003s : 27: predicate.minmaximum_grad 1.05% : 0.000005s : 13: predicate.mutable_eliminate 0.58% : 0.000003s : 13: predicate.opt_reshape 0.56% : 0.000003s : 13: predicate.parallel_virtual_node 1.08% : 0.000005s : 28: predicate.partial_defer_inline 1.20% : 0.000006s : 40: predicate.partial_eliminate 0.76% : 0.000004s : 27: predicate.print_const_string_wrapper 0.82% : 0.000004s : 26: predicate.reduce_all_const_elim 1.02% : 0.000005s : 27: predicate.reduce_eliminate 2.27% : 0.000011s : 80: predicate.redundant_stop_gradient_eliminater 0.46% : 0.000002s : 26: predicate.remove_not_recompute_node 1.38% : 0.000007s : 53: predicate.replace_applicator 0.53% : 0.000003s : 26: predicate.replace_old_param 0.45% : 0.000002s : 13: predicate.reset_defer_inline 0.95% : 0.000005s : 27: predicate.reshape_eliminate 0.86% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.47% : 0.000002s : 13: predicate.row_tensor_eliminate 1.34% : 0.000006s : 26: predicate.same_eliminate 0.71% : 0.000003s : 26: predicate.set_cell_output_no_recompute 0.96% : 0.000005s : 26: predicate.shard_identity_eliminate 1.21% : 0.000006s : 26: predicate.special_op_eliminate 0.84% : 0.000004s : 26: predicate.specialize_transform 1.21% : 0.000006s : 26: predicate.split_environ_get_set_with_tuple_value 1.11% : 0.000005s : 26: predicate.stack_unstack_eliminate 0.53% : 0.000003s : 13: predicate.switch_call_monad_eliminater 0.84% : 0.000004s : 28: predicate.switch_defer_inline 1.49% : 0.000007s : 54: predicate.switch_layer_defer_inline 3.24% : 0.000016s : 98: predicate.switch_simplify 0.81% : 0.000004s : 27: predicate.tile_eliminate 0.80% : 0.000004s : 27: predicate.transpose_eliminate 2.57% : 0.000012s : 53: predicate.tuple_list_convert_item_index_to_positive 1.66% : 0.000008s : 53: predicate.tuple_list_get_item_const_eliminator 3.08% : 0.000015s : 53: predicate.tuple_list_get_item_depend_reorder 2.86% : 0.000014s : 79: predicate.tuple_list_get_item_eliminator 1.67% : 0.000008s : 53: predicate.tuple_list_get_set_item_eliminator 2.51% : 0.000012s : 79: predicate.tuple_list_set_item_eliminator 1.52% : 0.000007s : 53: predicate.tuple_to_list_eliminator_ 2.22% : 0.000011s : 80: predicate.updatestate_pure_node_eliminater 3.29% : 0.000016s : 106: predicate.updatestate_useless_node_eliminater 0.50% : 0.000002s : 13: predicate.value_based_eliminate 0.81% : 0.000004s : 26: predicate.virtual_dataset_eliminate 0.81% : 0.000004s : 26: predicate.virtual_output_eliminate 0.42% : 0.000002s : 13: predicate.virtual_view_grad_eliminate 0.48% : 0.000002s : 13: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.066973 56 94.18% : 0.063076s : 53: func_graph_cloner_run.FuncGraphClonerGraph 5.82% : 0.003897s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 4.343542 192 0.00% : 0.000004s : 1: ForceFp32Comm 2.56% : 0.111388s : 1: add_attr 2.56% : 0.111368s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.00% : 0.000151s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.01% : 0.000367s : 1: auto_monad 0.00% : 0.000062s : 1: auto_monad_reorder 0.00% : 0.000003s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.03% : 0.001350s : 1: bootstrap 0.00% : 0.000050s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.00% : 0.000035s : 1: control_data_broadcast_order 0.00% : 0.000020s : 1: convert_after_rewriter 0.00% : 0.000063s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.00% : 0.000029s : 1: environ_conv 0.00% : 0.000028s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000008s : 1: get_jit_bprop_graph 0.00% : 0.000011s : 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% : 0.000005s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000007s : 1: label_fine_grained_interleaved_index 0.00% : 0.000012s : 1: label_micro_interleaved_index 0.02% : 0.000911s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.02% : 0.000822s : 1: mutable_eliminate 0.00% : 0.000010s : 1: offloading_packed_experts 0.00% : 0.000043s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000036s : 1: opt.transform.mutable_eliminate 0.06% : 0.002541s : 78: opt.transform.opt_a 0.00% : 0.000113s : 1: opt.transform.opt_after_cconv 0.00% : 0.000208s : 1: opt.transform.opt_after_jit_grad 4.34% : 0.188502s : 28: opt.transform.opt_b 0.00% : 0.000135s : 2: opt.transform.opt_trans_graph 0.00% : 0.000108s : 4: opt.transform.symbol_engine_opt 0.39% : 0.016738s : 1: opt_a 0.01% : 0.000284s : 1: opt_after_cconv 0.02% : 0.001080s : 1: opt_after_jit_grad 4.35% : 0.188855s : 1: opt_b 4.82% : 0.209163s : 1: optimize 0.00% : 0.000045s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000015s : 1: order_py_execute_after_rewriter 0.00% : 0.000049s : 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% : 0.000004s : 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% : 0.000011s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000008s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000006s : 1: pipeline_split 0.00% : 0.000044s : 1: pre_auto_parallel 0.00% : 0.000041s : 1: py_interpret_to_execute 0.00% : 0.000033s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000082s : 1: remove_dup_value 0.16% : 0.007131s : 1: renormalize.infer 0.10% : 0.004436s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000014s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000218s : 1: rewriter_after_opt_a 0.00% : 0.000094s : 1: rewriter_before_opt_a 0.00% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000006s : 1: split_layernorm_comm 0.00% : 0.000006s : 1: split_matmul_comm_elemetwise 0.00% : 0.000015s : 1: swap_dp_allreduce_reducescatter 0.00% : 0.000181s : 1: symbol_engine_optimizer 0.00% : 0.000173s : 1: tuple_transform 80.49% : 3.496272s : 1: type_inference . [hook] pytest_runtest_teardown:test_matmul_ffn_bf16_1[False-mstype0-k_n_shape0-1024] tests/st/infer/ops/test_internal_ops/test_matmul_split.py::test_matmul_ffn_bf16_1[False-mstype0-k_n_shape0-1024],max_mem:408.0M [WARNING] ME(169364:281472993333040,MainProcess):2026-01-29-17:41:16.206.208 [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 = 2.89776, [21] [bootstrap]: 0.00077455 [type_inference]: 2.70107 [event_method]: 1.82e-05 [auto_monad]: 0.00034482 [graph_reusing]: 6.91001e-06 [inline]: 3.6e-06 [add_attr]: 0.0519248, [1] [add_attr_with_inline]: 0.0519078, [1] [Cycle 1]: 8.067e-05, [2] [tag_attr]: 2.389e-05 [meta_addattr_fg_expand]: 5.30999e-06 [parallel-infer-symbol]: 5.64998e-06 [pre_auto_parallel]: 4.226e-05 [insert-virtual-dataset]: 2.81e-06 [parallel-infer-symbol-second]: 7.09988e-07 [dataset_repeat_opt]: 1.71e-06 [pipeline_split]: 1.87999e-06 [optimize]: 0.0218557, [53] [py_interpret_to_execute]: 3.717e-05 [rewriter_before_opt_a]: 8.888e-05 [opt_a]: 0.0180899, [2] [Cycle 1]: 0.0163708, [45] [expand_dump_flag]: 2.65002e-06 [switch_simplify]: 3.6e-05 [loop_unroll]: 2.086e-05 [a_1]: 0.00093979 [with_stream_mark]: 3.075e-05 [recompute_prepare]: 2.863e-05 [updatestate_depend_eliminate]: 1.194e-05 [updatestate_assign_eliminate]: 8.49002e-06 [updatestate_loads_eliminate]: 1.069e-05 [parameter_eliminate]: 2.97002e-06 [a_2]: 0.00032859 [accelerated_algorithm]: 6.531e-05 [shard]: 3.24001e-06 [meta_shard_fg_expand]: 4.28999e-06 [shard_inline]: 1.854e-05 [merge_send_recv]: 0.00056764 [auto_parallel]: 3.399e-05 [parallel]: 4.037e-05 [flash_sp]: 1.667e-05 [merge_comm]: 1.43e-05 [allreduce_fusion]: 8.57e-06 [matmul_add_comm_reduction]: 1.922e-05 [allreduce_slice_to_reducescatter]: 9.30013e-07 [virtual_shard_identity]: 3.432e-05 [virtual_dataset]: 1.932e-05 [get_grad_eliminate_]: 2.016e-05 [virtual_output]: 1.931e-05 [merge_forward]: 9.09998e-06 [cell_reuse_recompute_pass]: 3.19001e-06 [offload_activation]: 1.872e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.732e-05 [merge_recompute_call_nodes]: 1.49998e-06 [before_grad]: 3.104e-05 [set_forward_comm_id_for_comm_node_pass]: 9.34e-06 [meta_fg_expand]: 6.94999e-06 [flash_sp_send_recv_attached]: 7.62998e-06 [receive_attached]: 2.59999e-06 [after_resolve]: 2.747e-05 [a_after_grad]: 3.102e-05 [renormalize]: 0.0118084 [add_forward_monad_depend]: 1.197e-05 [auto_monad_grad]: 2.51e-06 [auto_monad_eliminator]: 6.458e-05 [cse]: 0.00139088 [a_3]: 0.00014747 [Cycle 2]: 0.00166161, [45] [expand_dump_flag]: 3.97e-06 [switch_simplify]: 2.128e-05 [loop_unroll]: 1.838e-05 [a_1]: 0.00047633 [with_stream_mark]: 3.552e-05 [recompute_prepare]: 1.781e-05 [updatestate_depend_eliminate]: 1.076e-05 [updatestate_assign_eliminate]: 8.12e-06 [updatestate_loads_eliminate]: 1.086e-05 [parameter_eliminate]: 2.41e-06 [a_2]: 0.00022157 [accelerated_algorithm]: 2.219e-05 [shard]: 2.86e-06 [meta_shard_fg_expand]: 6.12999e-06 [shard_inline]: 1.587e-05 [merge_send_recv]: 1.576e-05 [auto_parallel]: 1.459e-05 [parallel]: 1.054e-05 [flash_sp]: 4.15999e-06 [merge_comm]: 8.70999e-06 [allreduce_fusion]: 8.91997e-06 [matmul_add_comm_reduction]: 1.887e-05 [allreduce_slice_to_reducescatter]: 1.24998e-06 [virtual_shard_identity]: 1.913e-05 [virtual_dataset]: 1.499e-05 [get_grad_eliminate_]: 1.54e-05 [virtual_output]: 1.51e-05 [merge_forward]: 9.19e-06 [cell_reuse_recompute_pass]: 3.24001e-06 [offload_activation]: 1.868e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.125e-05 [merge_recompute_call_nodes]: 1.50999e-06 [before_grad]: 2.541e-05 [set_forward_comm_id_for_comm_node_pass]: 8.87e-06 [meta_fg_expand]: 6.59999e-06 [flash_sp_send_recv_attached]: 2.23002e-06 [receive_attached]: 2.53e-06 [after_resolve]: 2.192e-05 [a_after_grad]: 2.697e-05 [renormalize]: 7.99773e-08 [add_forward_monad_depend]: 3.85e-06 [auto_monad_grad]: 2.81e-06 [auto_monad_eliminator]: 5.942e-05 [cse]: 6.286e-05 [a_3]: 0.00010385 [py_interpret_to_execute_after_opt_a]: 3.177e-05 [slice_cell_reuse_recomputed_activation]: 2.46998e-06 [rewriter_after_opt_a]: 0.00020202 [convert_after_rewriter]: 1.507e-05 [order_py_execute_after_rewriter]: 1.088e-05 [mutable_eliminate]: 0.00083079 [opt_b]: 0.00055218, [1] [Cycle 1]: 0.0005429, [7] [b_1]: 0.00037114 [b_2]: 1.852e-05 [updatestate_depend_eliminate]: 1.605e-05 [updatestate_assign_eliminate]: 7.44002e-06 [updatestate_loads_eliminate]: 1.024e-05 [renormalize]: 7.39994e-07 [cse]: 7.648e-05 [optimize_parallel_all_gather_comm]: 3.307e-05 [overlap_param_gather]: 6.49999e-06 [cconv]: 4.151e-05 [loop_unroll]: 0.00063581 [opt_after_cconv]: 0.00024457, [1] [Cycle 1]: 0.00023425, [7] [c_1]: 0.00010544 [parameter_eliminate]: 6.76999e-06 [updatestate_depend_eliminate]: 1.387e-05 [updatestate_assign_eliminate]: 7.45e-06 [updatestate_loads_eliminate]: 1.013e-05 [cse]: 5.19e-05 [renormalize]: 1.34e-06 [remove_dup_value]: 7.351e-05 [tuple_transform]: 0.00016359, [1] [Cycle 1]: 0.00015712, [4] [d_1]: 0.00011619 [none_parameter_eliminate]: 2.09e-06 [renormalize]: 2.10013e-07 [switch_simplify]: 1.626e-05 [partial_unused_args_eliminate]: 2.19999e-06 [add_recomputation]: 0.00012672 [cse_after_recomputation]: 5.812e-05, [1] [Cycle 1]: 5.359e-05, [1] [cse]: 4.585e-05 [environ_conv]: 1.865e-05 [swap_dp_allreduce_reducescatter]: 1.163e-05 [bias_add_comm_swap]: 3.88001e-06 [label_micro_interleaved_index]: 6.23e-06 [label_fine_grained_interleaved_index]: 3.23998e-06 [merge_cast_opt]: 1.52001e-06 [slice_recompute_activation]: 2.21e-06 [micro_interleaved_order_control]: 2.94999e-06 [assign_add_opt]: 1.37e-06 [ForceFp32Comm]: 9.39996e-07 [remove_cast_before_assign_add]: 1.07998e-06 [full_micro_interleaved_order_control]: 2.11e-06 [reorder_send_recv_between_fp_bp]: 3.08998e-06 [comm_op_add_attrs]: 1.14e-06 [add_comm_op_reuse_tag]: 1.02998e-06 [interleave_split_concat_branches]: 1.24998e-06 [interleave_parallel_branches]: 1.24e-06 [overlap_opt_shard_in_pipeline]: 3.99002e-06 [overlap_opt_shard_grad_in_pipeline]: 2.26e-06 [control_data_broadcast_order]: 2.773e-05 [grouped_pairwise_exchange_alltoall]: 1.82999e-06 [offloading_packed_experts]: 7.42002e-06 [overlap_recompute_and_grad_model_parallel]: 7.64002e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.72001e-06 [overlap_recompute_allgather_and_fa_grad]: 1.38002e-06 [overlap_recompute_comm]: 2.44999e-06 [overlap_grad_ring_attention]: 8.54e-06 [overlap_grad_flash_sp]: 3.874e-05 [begin_end_overlap_inline]: 5.3001e-07 [split_matmul_comm_elemetwise]: 2.19001e-06 [split_layernorm_comm]: 2.34001e-06 [handle_group_info]: 1.01002e-06 [symbol_engine_optimizer]: 0.00016088, [1] [Cycle 1]: 0.00015434, [6] [build]: 1.809e-05 [elim_shapecalc]: 2.376e-05 [elim_not_effective]: 3.063e-05 [opt_reshape]: 2.266e-05 [fold_const_symbol]: 2.426e-05 [renormalize]: 2.40019e-07 [detach_backward]: 2.43002e-06 [pipeline_parallel_scheduler]: 1.75001e-06 [auto_monad_reorder]: 4.587e-05 [get_jit_bprop_graph]: 2.12999e-06 [rewriter_after_jit_bprop_graph]: 6.83998e-06 [opt_after_jit_grad]: 0.121277 [validate]: 0.00011213 Sums bootstrap : 0.000775s : 0.03% type_inference : 2.701071s : 94.96% event_method : 0.000018s : 0.00% auto_monad : 0.000345s : 0.01% graph_reusing : 0.000007s : 0.00% inline : 0.000004s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000024s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000005s : 0.00% parallel-infer-symbol : 0.000006s : 0.00% pre_auto_parallel : 0.000042s : 0.00% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000037s : 0.00% optimize.rewriter_before_opt_a : 0.000089s : 0.00% optimize.opt_a.expand_dump_flag : 0.000007s : 0.00% optimize.opt_a.switch_simplify : 0.000057s : 0.00% optimize.opt_a.loop_unroll : 0.000039s : 0.00% optimize.opt_a.a_1 : 0.001416s : 0.05% optimize.opt_a.with_stream_mark : 0.000066s : 0.00% optimize.opt_a.recompute_prepare : 0.000046s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000023s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000017s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000022s : 0.00% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.000550s : 0.02% optimize.opt_a.accelerated_algorithm : 0.000087s : 0.00% optimize.opt_a.shard : 0.000006s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000010s : 0.00% optimize.opt_a.shard_inline : 0.000034s : 0.00% optimize.opt_a.merge_send_recv : 0.000583s : 0.02% optimize.opt_a.auto_parallel : 0.000049s : 0.00% optimize.opt_a.parallel : 0.000051s : 0.00% optimize.opt_a.flash_sp : 0.000021s : 0.00% optimize.opt_a.merge_comm : 0.000023s : 0.00% optimize.opt_a.allreduce_fusion : 0.000017s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000038s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000053s : 0.00% optimize.opt_a.virtual_dataset : 0.000034s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000036s : 0.00% optimize.opt_a.virtual_output : 0.000034s : 0.00% optimize.opt_a.merge_forward : 0.000018s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% optimize.opt_a.offload_activation : 0.000037s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000079s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000056s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000018s : 0.00% optimize.opt_a.meta_fg_expand : 0.000014s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000010s : 0.00% optimize.opt_a.receive_attached : 0.000005s : 0.00% optimize.opt_a.after_resolve : 0.000049s : 0.00% optimize.opt_a.a_after_grad : 0.000058s : 0.00% optimize.opt_a.renormalize : 0.011808s : 0.42% 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 : 0.000124s : 0.00% optimize.opt_a.cse : 0.001454s : 0.05% optimize.opt_a.a_3 : 0.000251s : 0.01% optimize.py_interpret_to_execute_after_opt_a : 0.000032s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000202s : 0.01% optimize.convert_after_rewriter : 0.000015s : 0.00% optimize.order_py_execute_after_rewriter : 0.000011s : 0.00% optimize.mutable_eliminate : 0.000831s : 0.03% optimize.opt_b.b_1 : 0.000371s : 0.01% optimize.opt_b.b_2 : 0.000019s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000016s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000007s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000010s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000076s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.000033s : 0.00% optimize.overlap_param_gather : 0.000006s : 0.00% optimize.cconv : 0.000042s : 0.00% optimize.loop_unroll : 0.000636s : 0.02% optimize.opt_after_cconv.c_1 : 0.000105s : 0.00% optimize.opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000014s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000010s : 0.00% optimize.opt_after_cconv.cse : 0.000052s : 0.00% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000074s : 0.00% optimize.tuple_transform.d_1 : 0.000116s : 0.00% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000016s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000127s : 0.00% optimize.cse_after_recomputation.cse : 0.000046s : 0.00% optimize.environ_conv : 0.000019s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000012s : 0.00% optimize.bias_add_comm_swap : 0.000004s : 0.00% optimize.label_micro_interleaved_index : 0.000006s : 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 : 0.000004s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000028s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000007s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000008s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000002s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000009s : 0.00% optimize.overlap_grad_flash_sp : 0.000039s : 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 : 0.000018s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000024s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000031s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000023s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000024s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000002s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000046s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.121277s : 4.26% validate : 0.000112s : 0.00% Time group info: ------[substitution.] 0.000308 96 3.89% : 0.000012s : 2: substitution.depend_value_elim 1.35% : 0.000004s : 8: substitution.elim_not_effective 1.19% : 0.000004s : 8: substitution.fold_const_symbol 3.74% : 0.000012s : 13: substitution.graph_param_transform 42.43% : 0.000131s : 1: substitution.inline 2.92% : 0.000009s : 16: substitution.j_node_and_user_rematch 8.65% : 0.000027s : 2: substitution.less_batch_normalization 2.42% : 0.000007s : 6: substitution.load_eliminater 1.09% : 0.000003s : 2: substitution.opt_reshape 4.19% : 0.000013s : 16: substitution.remove_not_recompute_node 2.57% : 0.000008s : 4: substitution.replace_old_param 11.11% : 0.000034s : 4: substitution.reshape_eliminate 8.08% : 0.000025s : 6: substitution.updatestate_pure_node_eliminater 6.36% : 0.000020s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 2.700961 2 99.82% : 2.695988s : 1: type_inference.infer 0.18% : 0.004973s : 1: type_inference.specialize ------[replace.] 0.000020 1 100.00% : 0.000020s : 1: replace.inline ------[match.] 0.000129 1 100.00% : 0.000129s : 1: match.inline ------[predicate.] 0.000461 3002 0.84% : 0.000004s : 27: predicate.accumulaten_eliminater 1.68% : 0.000008s : 13: predicate.ad_related_special_op_eliminate 0.70% : 0.000003s : 26: predicate.addn_check_dump 0.83% : 0.000004s : 27: predicate.addn_zero_filter 0.72% : 0.000003s : 27: predicate.adjust_all_reduce_mul_add 2.13% : 0.000010s : 53: predicate.arithmetic_simplify 0.82% : 0.000004s : 27: predicate.cast_eliminate 0.80% : 0.000004s : 26: predicate.check_bprop_eliminate 0.82% : 0.000004s : 26: predicate.compare_switch_simplify 0.24% : 0.000001s : 13: predicate.const_output_eliminate 0.85% : 0.000004s : 26: predicate.depend_value_elim 0.80% : 0.000004s : 27: predicate.dict_get_item_const_eliminator 0.90% : 0.000004s : 27: predicate.dict_get_item_eliminator 0.80% : 0.000004s : 27: predicate.dict_set_item_eliminator 1.46% : 0.000007s : 26: predicate.dumpgradient_eliminate 0.30% : 0.000001s : 13: predicate.elim_not_effective 0.47% : 0.000002s : 13: predicate.elim_shapecalc_of_broadcastargs 1.48% : 0.000007s : 40: predicate.environ_add_const_eliminate 1.06% : 0.000005s : 40: predicate.environ_get_add_eliminate 1.10% : 0.000005s : 40: predicate.environ_get_depend_swap 1.97% : 0.000009s : 66: predicate.environ_get_eliminate 1.24% : 0.000006s : 40: predicate.environ_get_set_eliminate 0.77% : 0.000004s : 28: predicate.exchange_switch_depend_value 1.27% : 0.000006s : 28: predicate.float_depend_g_call 0.82% : 0.000004s : 26: predicate.float_environ_get_switch 1.10% : 0.000005s : 39: predicate.float_tuple_getitem_switch 0.22% : 0.000001s : 13: predicate.fold_const_symbol 0.85% : 0.000004s : 26: predicate.get_grad_eliminate 0.30% : 0.000001s : 13: predicate.graph_param_transform 0.80% : 0.000004s : 26: predicate.incorporate_call 0.67% : 0.000003s : 26: predicate.incorporate_call_switch 5.14% : 0.000024s : 133: predicate.inline 0.99% : 0.000005s : 26: predicate.inline_without_move 0.43% : 0.000002s : 26: predicate.j_node_and_user_rematch 1.28% : 0.000006s : 27: predicate.less_batch_normalization 1.68% : 0.000008s : 53: predicate.list_to_tuple_eliminator_ 2.21% : 0.000010s : 80: predicate.load_eliminater 1.07% : 0.000005s : 13: predicate.loop_unroll_after_grad 1.03% : 0.000005s : 31: predicate.loop_unroll_before_grad 1.75% : 0.000008s : 53: predicate.make_slice_get_slice_eliminator 0.75% : 0.000003s : 26: predicate.merge_addn 0.73% : 0.000003s : 26: predicate.micro_step_allgather_replace 0.77% : 0.000004s : 26: predicate.mini_step_allgather_replace 0.72% : 0.000003s : 27: predicate.minmaximum_grad 1.34% : 0.000006s : 13: predicate.mutable_eliminate 0.49% : 0.000002s : 13: predicate.opt_reshape 0.47% : 0.000002s : 13: predicate.parallel_virtual_node 1.19% : 0.000005s : 28: predicate.partial_defer_inline 1.26% : 0.000006s : 40: predicate.partial_eliminate 0.90% : 0.000004s : 27: predicate.print_const_string_wrapper 0.78% : 0.000004s : 26: predicate.reduce_all_const_elim 1.09% : 0.000005s : 27: predicate.reduce_eliminate 2.21% : 0.000010s : 80: predicate.redundant_stop_gradient_eliminater 0.55% : 0.000003s : 26: predicate.remove_not_recompute_node 1.32% : 0.000006s : 53: predicate.replace_applicator 0.52% : 0.000002s : 26: predicate.replace_old_param 0.32% : 0.000001s : 13: predicate.reset_defer_inline 1.12% : 0.000005s : 27: predicate.reshape_eliminate 0.79% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.50% : 0.000002s : 13: predicate.row_tensor_eliminate 1.11% : 0.000005s : 26: predicate.same_eliminate 0.56% : 0.000003s : 26: predicate.set_cell_output_no_recompute 1.06% : 0.000005s : 26: predicate.shard_identity_eliminate 0.90% : 0.000004s : 26: predicate.special_op_eliminate 0.85% : 0.000004s : 26: predicate.specialize_transform 1.06% : 0.000005s : 26: predicate.split_environ_get_set_with_tuple_value 1.13% : 0.000005s : 26: predicate.stack_unstack_eliminate 0.48% : 0.000002s : 13: predicate.switch_call_monad_eliminater 1.06% : 0.000005s : 28: predicate.switch_defer_inline 1.66% : 0.000008s : 54: predicate.switch_layer_defer_inline 3.46% : 0.000016s : 98: predicate.switch_simplify 0.80% : 0.000004s : 27: predicate.tile_eliminate 0.80% : 0.000004s : 27: predicate.transpose_eliminate 1.75% : 0.000008s : 53: predicate.tuple_list_convert_item_index_to_positive 1.78% : 0.000008s : 53: predicate.tuple_list_get_item_const_eliminator 1.60% : 0.000007s : 53: predicate.tuple_list_get_item_depend_reorder 2.95% : 0.000014s : 79: predicate.tuple_list_get_item_eliminator 1.68% : 0.000008s : 53: predicate.tuple_list_get_set_item_eliminator 2.58% : 0.000012s : 79: predicate.tuple_list_set_item_eliminator 2.00% : 0.000009s : 53: predicate.tuple_to_list_eliminator_ 2.19% : 0.000010s : 80: predicate.updatestate_pure_node_eliminater 3.29% : 0.000015s : 106: predicate.updatestate_useless_node_eliminater 0.43% : 0.000002s : 13: predicate.value_based_eliminate 0.87% : 0.000004s : 26: predicate.virtual_dataset_eliminate 0.84% : 0.000004s : 26: predicate.virtual_output_eliminate 0.39% : 0.000002s : 13: predicate.virtual_view_grad_eliminate 0.46% : 0.000002s : 13: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.014271 56 72.38% : 0.010329s : 53: func_graph_cloner_run.FuncGraphClonerGraph 27.62% : 0.003942s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.986678 192 0.00% : 0.000004s : 1: ForceFp32Comm 1.74% : 0.051932s : 1: add_attr 1.74% : 0.051913s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.00% : 0.000132s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.01% : 0.000357s : 1: auto_monad 0.00% : 0.000051s : 1: auto_monad_reorder 0.00% : 0.000003s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.03% : 0.000824s : 1: bootstrap 0.00% : 0.000046s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.00% : 0.000031s : 1: control_data_broadcast_order 0.00% : 0.000019s : 1: convert_after_rewriter 0.00% : 0.000061s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000023s : 1: environ_conv 0.00% : 0.000027s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 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% : 0.000006s : 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% : 0.000009s : 1: label_micro_interleaved_index 0.02% : 0.000649s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.03% : 0.000844s : 1: mutable_eliminate 0.00% : 0.000010s : 1: offloading_packed_experts 0.00% : 0.000033s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000039s : 1: opt.transform.mutable_eliminate 0.09% : 0.002741s : 78: opt.transform.opt_a 0.00% : 0.000103s : 1: opt.transform.opt_after_cconv 0.00% : 0.000095s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.000354s : 28: opt.transform.opt_b 0.00% : 0.000130s : 2: opt.transform.opt_trans_graph 0.00% : 0.000097s : 4: opt.transform.symbol_engine_opt 0.61% : 0.018095s : 1: opt_a 0.01% : 0.000248s : 1: opt_after_cconv 4.06% : 0.121315s : 1: opt_after_jit_grad 0.02% : 0.000556s : 1: opt_b 0.73% : 0.021862s : 1: optimize 0.00% : 0.000036s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000014s : 1: order_py_execute_after_rewriter 0.00% : 0.000042s : 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% : 0.000007s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000011s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000011s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000005s : 1: overlap_recompute_comm 0.00% : 0.000009s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000006s : 1: pipeline_split 0.00% : 0.000047s : 1: pre_auto_parallel 0.00% : 0.000042s : 1: py_interpret_to_execute 0.00% : 0.000037s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000078s : 1: remove_dup_value 0.25% : 0.007419s : 1: renormalize.infer 0.15% : 0.004369s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000211s : 1: rewriter_after_opt_a 0.00% : 0.000094s : 1: rewriter_before_opt_a 0.00% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000006s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000015s : 1: swap_dp_allreduce_reducescatter 0.01% : 0.000164s : 1: symbol_engine_optimizer 0.01% : 0.000167s : 1: tuple_transform 90.44% : 2.701106s : 1: type_inference . [hook] pytest_runtest_teardown:test_matmul_ffn_bf16_1[False-mstype0-k_n_shape1-256] tests/st/infer/ops/test_internal_ops/test_matmul_split.py::test_matmul_ffn_bf16_1[False-mstype0-k_n_shape1-256],max_mem:408.0M [WARNING] ME(169364:281472993333040,MainProcess):2026-01-29-17:42:11.970.572 [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 = 1.28794, [21] [bootstrap]: 0.0007261 [type_inference]: 1.19718 [event_method]: 2.049e-05 [auto_monad]: 0.00042548 [graph_reusing]: 7.73999e-06 [inline]: 2.90998e-06 [add_attr]: 0.0698379, [1] [add_attr_with_inline]: 0.0698193, [1] [Cycle 1]: 7.211e-05, [2] [tag_attr]: 2.237e-05 [meta_addattr_fg_expand]: 4.23999e-06 [parallel-infer-symbol]: 4.92e-06 [pre_auto_parallel]: 3.946e-05 [insert-virtual-dataset]: 2.78e-06 [parallel-infer-symbol-second]: 9.30013e-07 [dataset_repeat_opt]: 2.96001e-06 [pipeline_split]: 1.62001e-06 [optimize]: 0.0186482, [53] [py_interpret_to_execute]: 3.352e-05 [rewriter_before_opt_a]: 8.481e-05 [opt_a]: 0.0151036, [2] [Cycle 1]: 0.0131141, [45] [expand_dump_flag]: 2.82002e-06 [switch_simplify]: 3.602e-05 [loop_unroll]: 1.991e-05 [a_1]: 0.0008211 [with_stream_mark]: 2.704e-05 [recompute_prepare]: 2.387e-05 [updatestate_depend_eliminate]: 1.107e-05 [updatestate_assign_eliminate]: 9.72001e-06 [updatestate_loads_eliminate]: 1.136e-05 [parameter_eliminate]: 2.32001e-06 [a_2]: 0.00025685 [accelerated_algorithm]: 4.697e-05 [shard]: 2.30002e-06 [meta_shard_fg_expand]: 3.60998e-06 [shard_inline]: 1.815e-05 [merge_send_recv]: 1.534e-05 [auto_parallel]: 1.642e-05 [parallel]: 3.024e-05 [flash_sp]: 1.377e-05 [merge_comm]: 8.76002e-06 [allreduce_fusion]: 8e-06 [matmul_add_comm_reduction]: 1.788e-05 [allreduce_slice_to_reducescatter]: 6.89994e-07 [virtual_shard_identity]: 2.159e-05 [virtual_dataset]: 1.851e-05 [get_grad_eliminate_]: 1.886e-05 [virtual_output]: 1.882e-05 [merge_forward]: 8.95999e-06 [cell_reuse_recompute_pass]: 2.48e-06 [offload_activation]: 2.098e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.764e-05 [merge_recompute_call_nodes]: 1.74998e-06 [before_grad]: 4.728e-05 [set_forward_comm_id_for_comm_node_pass]: 1.045e-05 [meta_fg_expand]: 6.12001e-06 [flash_sp_send_recv_attached]: 7.43999e-06 [receive_attached]: 2.53e-06 [after_resolve]: 2.774e-05 [a_after_grad]: 3.084e-05 [renormalize]: 0.0102845 [add_forward_monad_depend]: 1.302e-05 [auto_monad_grad]: 3.35003e-06 [auto_monad_eliminator]: 5.844e-05 [cse]: 0.00058337 [a_3]: 0.00013354 [Cycle 2]: 0.00197302, [45] [expand_dump_flag]: 2.17001e-06 [switch_simplify]: 1.822e-05 [loop_unroll]: 1.766e-05 [a_1]: 0.00048589 [with_stream_mark]: 2.419e-05 [recompute_prepare]: 1.605e-05 [updatestate_depend_eliminate]: 9.04e-06 [updatestate_assign_eliminate]: 7.51999e-06 [updatestate_loads_eliminate]: 1.013e-05 [parameter_eliminate]: 2.61e-06 [a_2]: 0.00024045 [accelerated_algorithm]: 2.199e-05 [shard]: 2.24999e-06 [meta_shard_fg_expand]: 3.65e-06 [shard_inline]: 1.526e-05 [merge_send_recv]: 1.39e-05 [auto_parallel]: 1.565e-05 [parallel]: 9.71e-06 [flash_sp]: 4.35e-06 [merge_comm]: 8e-06 [allreduce_fusion]: 8.42e-06 [matmul_add_comm_reduction]: 1.624e-05 [allreduce_slice_to_reducescatter]: 8.2e-07 [virtual_shard_identity]: 1.754e-05 [virtual_dataset]: 1.52e-05 [get_grad_eliminate_]: 1.525e-05 [virtual_output]: 1.497e-05 [merge_forward]: 8.32e-06 [cell_reuse_recompute_pass]: 3.13e-06 [offload_activation]: 1.593e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.746e-05 [merge_recompute_call_nodes]: 1.47999e-06 [before_grad]: 2.554e-05 [set_forward_comm_id_for_comm_node_pass]: 9.07001e-06 [meta_fg_expand]: 6.39999e-06 [flash_sp_send_recv_attached]: 1.98002e-06 [receive_attached]: 2.36998e-06 [after_resolve]: 2.158e-05 [a_after_grad]: 2.592e-05 [renormalize]: 7.00238e-08 [add_forward_monad_depend]: 2.29999e-06 [auto_monad_grad]: 1.73002e-06 [auto_monad_eliminator]: 3.837e-05 [cse]: 0.000423 [a_3]: 0.00011279 [py_interpret_to_execute_after_opt_a]: 2.688e-05 [slice_cell_reuse_recomputed_activation]: 2.34001e-06 [rewriter_after_opt_a]: 0.00020204 [convert_after_rewriter]: 1.644e-05 [order_py_execute_after_rewriter]: 9.97001e-06 [mutable_eliminate]: 0.00078909 [opt_b]: 0.00051828, [1] [Cycle 1]: 0.00051017, [7] [b_1]: 0.00036486 [b_2]: 1.803e-05 [updatestate_depend_eliminate]: 1.239e-05 [updatestate_assign_eliminate]: 7.01001e-06 [updatestate_loads_eliminate]: 9.71e-06 [renormalize]: 1.19e-06 [cse]: 5.729e-05 [optimize_parallel_all_gather_comm]: 3.201e-05 [overlap_param_gather]: 1.77001e-06 [cconv]: 3.533e-05 [loop_unroll]: 0.00052522 [opt_after_cconv]: 0.00021987, [1] [Cycle 1]: 0.00021139, [7] [c_1]: 9.935e-05 [parameter_eliminate]: 3.52002e-06 [updatestate_depend_eliminate]: 1.24e-05 [updatestate_assign_eliminate]: 6.96999e-06 [updatestate_loads_eliminate]: 8.44002e-06 [cse]: 4.403e-05 [renormalize]: 5.69999e-07 [remove_dup_value]: 6.603e-05 [tuple_transform]: 0.00017192, [1] [Cycle 1]: 0.00016684, [4] [d_1]: 0.00011143 [none_parameter_eliminate]: 1.87999e-06 [renormalize]: 2.50002e-07 [switch_simplify]: 1.713e-05 [partial_unused_args_eliminate]: 2.01e-06 [add_recomputation]: 0.00012873 [cse_after_recomputation]: 5.903e-05, [1] [Cycle 1]: 5.343e-05, [1] [cse]: 4.702e-05 [environ_conv]: 1.762e-05 [swap_dp_allreduce_reducescatter]: 1.289e-05 [bias_add_comm_swap]: 3.41001e-06 [label_micro_interleaved_index]: 4.88001e-06 [label_fine_grained_interleaved_index]: 3.16001e-06 [merge_cast_opt]: 1.30999e-06 [slice_recompute_activation]: 2.41e-06 [micro_interleaved_order_control]: 2.44999e-06 [assign_add_opt]: 1.25999e-06 [ForceFp32Comm]: 8.00006e-07 [remove_cast_before_assign_add]: 1.22e-06 [full_micro_interleaved_order_control]: 2.06e-06 [reorder_send_recv_between_fp_bp]: 2.54999e-06 [comm_op_add_attrs]: 1.00999e-06 [add_comm_op_reuse_tag]: 9.70002e-07 [interleave_split_concat_branches]: 1.17999e-06 [interleave_parallel_branches]: 1.25001e-06 [overlap_opt_shard_in_pipeline]: 1.13001e-06 [overlap_opt_shard_grad_in_pipeline]: 1.74e-06 [control_data_broadcast_order]: 2.581e-05 [grouped_pairwise_exchange_alltoall]: 1.68002e-06 [offloading_packed_experts]: 6.68e-06 [overlap_recompute_and_grad_model_parallel]: 7.21999e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.25999e-06 [overlap_recompute_allgather_and_fa_grad]: 1.65001e-06 [overlap_recompute_comm]: 2.17999e-06 [overlap_grad_ring_attention]: 8.06001e-06 [overlap_grad_flash_sp]: 3.974e-05 [begin_end_overlap_inline]: 5.3001e-07 [split_matmul_comm_elemetwise]: 2.61999e-06 [split_layernorm_comm]: 1.76998e-06 [handle_group_info]: 9.5999e-07 [symbol_engine_optimizer]: 0.00016218, [1] [Cycle 1]: 0.00015614, [6] [build]: 1.826e-05 [elim_shapecalc]: 2.348e-05 [elim_not_effective]: 3.051e-05 [opt_reshape]: 2.437e-05 [fold_const_symbol]: 2.561e-05 [renormalize]: 1.90019e-07 [detach_backward]: 2.76e-06 [pipeline_parallel_scheduler]: 1.60999e-06 [auto_monad_reorder]: 4.54e-05 [get_jit_bprop_graph]: 2.31e-06 [rewriter_after_jit_bprop_graph]: 6.55997e-06 [opt_after_jit_grad]: 0.00060264 [validate]: 9.628e-05 Sums bootstrap : 0.000726s : 0.06% type_inference : 1.197177s : 98.39% event_method : 0.000020s : 0.00% auto_monad : 0.000425s : 0.03% graph_reusing : 0.000008s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000022s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000004s : 0.00% parallel-infer-symbol : 0.000005s : 0.00% pre_auto_parallel : 0.000039s : 0.00% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000003s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000034s : 0.00% optimize.rewriter_before_opt_a : 0.000085s : 0.01% optimize.opt_a.expand_dump_flag : 0.000005s : 0.00% optimize.opt_a.switch_simplify : 0.000054s : 0.00% optimize.opt_a.loop_unroll : 0.000038s : 0.00% optimize.opt_a.a_1 : 0.001307s : 0.11% optimize.opt_a.with_stream_mark : 0.000051s : 0.00% optimize.opt_a.recompute_prepare : 0.000040s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000020s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000017s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000021s : 0.00% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.000497s : 0.04% optimize.opt_a.accelerated_algorithm : 0.000069s : 0.01% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000007s : 0.00% optimize.opt_a.shard_inline : 0.000033s : 0.00% optimize.opt_a.merge_send_recv : 0.000029s : 0.00% optimize.opt_a.auto_parallel : 0.000032s : 0.00% optimize.opt_a.parallel : 0.000040s : 0.00% optimize.opt_a.flash_sp : 0.000018s : 0.00% optimize.opt_a.merge_comm : 0.000017s : 0.00% optimize.opt_a.allreduce_fusion : 0.000016s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000034s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000039s : 0.00% optimize.opt_a.virtual_dataset : 0.000034s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000034s : 0.00% optimize.opt_a.virtual_output : 0.000034s : 0.00% optimize.opt_a.merge_forward : 0.000017s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% optimize.opt_a.offload_activation : 0.000037s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000065s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000073s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000020s : 0.00% optimize.opt_a.meta_fg_expand : 0.000013s : 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 : 0.000049s : 0.00% optimize.opt_a.a_after_grad : 0.000057s : 0.00% optimize.opt_a.renormalize : 0.010285s : 0.85% optimize.opt_a.add_forward_monad_depend : 0.000015s : 0.00% optimize.opt_a.auto_monad_grad : 0.000005s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000097s : 0.01% optimize.opt_a.cse : 0.001006s : 0.08% optimize.opt_a.a_3 : 0.000246s : 0.02% optimize.py_interpret_to_execute_after_opt_a : 0.000027s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000202s : 0.02% optimize.convert_after_rewriter : 0.000016s : 0.00% optimize.order_py_execute_after_rewriter : 0.000010s : 0.00% optimize.mutable_eliminate : 0.000789s : 0.06% optimize.opt_b.b_1 : 0.000365s : 0.03% optimize.opt_b.b_2 : 0.000018s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000012s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000007s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000010s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000057s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.000032s : 0.00% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000035s : 0.00% optimize.loop_unroll : 0.000525s : 0.04% optimize.opt_after_cconv.c_1 : 0.000099s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.cse : 0.000044s : 0.00% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000066s : 0.01% optimize.tuple_transform.d_1 : 0.000111s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000017s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000129s : 0.01% optimize.cse_after_recomputation.cse : 0.000047s : 0.00% optimize.environ_conv : 0.000018s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000013s : 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 : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 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 : 0.000001s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000026s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000007s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000007s : 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 : 0.000008s : 0.00% optimize.overlap_grad_flash_sp : 0.000040s : 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 : 0.000018s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000023s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000031s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000024s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000026s : 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 : 0.000045s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000603s : 0.05% validate : 0.000096s : 0.01% Time group info: ------[substitution.] 0.000274 96 3.93% : 0.000011s : 2: substitution.depend_value_elim 1.53% : 0.000004s : 8: substitution.elim_not_effective 1.15% : 0.000003s : 8: substitution.fold_const_symbol 4.21% : 0.000012s : 13: substitution.graph_param_transform 43.83% : 0.000120s : 1: substitution.inline 3.26% : 0.000009s : 16: substitution.j_node_and_user_rematch 7.66% : 0.000021s : 2: substitution.less_batch_normalization 2.05% : 0.000006s : 6: substitution.load_eliminater 1.20% : 0.000003s : 2: substitution.opt_reshape 4.27% : 0.000012s : 16: substitution.remove_not_recompute_node 2.68% : 0.000007s : 4: substitution.replace_old_param 10.55% : 0.000029s : 4: substitution.reshape_eliminate 7.45% : 0.000020s : 6: substitution.updatestate_pure_node_eliminater 6.21% : 0.000017s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.197026 2 99.53% : 1.191359s : 1: type_inference.infer 0.47% : 0.005667s : 1: type_inference.specialize ------[replace.] 0.000019 1 100.00% : 0.000019s : 1: replace.inline ------[match.] 0.000119 1 100.00% : 0.000119s : 1: match.inline ------[predicate.] 0.000440 3002 0.83% : 0.000004s : 27: predicate.accumulaten_eliminater 0.94% : 0.000004s : 13: predicate.ad_related_special_op_eliminate 0.77% : 0.000003s : 26: predicate.addn_check_dump 0.79% : 0.000003s : 27: predicate.addn_zero_filter 0.73% : 0.000003s : 27: predicate.adjust_all_reduce_mul_add 2.35% : 0.000010s : 53: predicate.arithmetic_simplify 0.89% : 0.000004s : 27: predicate.cast_eliminate 0.79% : 0.000003s : 26: predicate.check_bprop_eliminate 0.82% : 0.000004s : 26: predicate.compare_switch_simplify 0.25% : 0.000001s : 13: predicate.const_output_eliminate 1.07% : 0.000005s : 26: predicate.depend_value_elim 0.82% : 0.000004s : 27: predicate.dict_get_item_const_eliminator 0.88% : 0.000004s : 27: predicate.dict_get_item_eliminator 0.81% : 0.000004s : 27: predicate.dict_set_item_eliminator 1.05% : 0.000005s : 26: predicate.dumpgradient_eliminate 0.31% : 0.000001s : 13: predicate.elim_not_effective 0.50% : 0.000002s : 13: predicate.elim_shapecalc_of_broadcastargs 1.24% : 0.000005s : 40: predicate.environ_add_const_eliminate 1.06% : 0.000005s : 40: predicate.environ_get_add_eliminate 1.10% : 0.000005s : 40: predicate.environ_get_depend_swap 1.95% : 0.000009s : 66: predicate.environ_get_eliminate 1.15% : 0.000005s : 40: predicate.environ_get_set_eliminate 0.77% : 0.000003s : 28: predicate.exchange_switch_depend_value 1.30% : 0.000006s : 28: predicate.float_depend_g_call 0.76% : 0.000003s : 26: predicate.float_environ_get_switch 1.10% : 0.000005s : 39: predicate.float_tuple_getitem_switch 0.25% : 0.000001s : 13: predicate.fold_const_symbol 0.86% : 0.000004s : 26: predicate.get_grad_eliminate 0.28% : 0.000001s : 13: predicate.graph_param_transform 0.85% : 0.000004s : 26: predicate.incorporate_call 0.73% : 0.000003s : 26: predicate.incorporate_call_switch 5.32% : 0.000023s : 133: predicate.inline 1.05% : 0.000005s : 26: predicate.inline_without_move 0.45% : 0.000002s : 26: predicate.j_node_and_user_rematch 1.26% : 0.000006s : 27: predicate.less_batch_normalization 1.72% : 0.000008s : 53: predicate.list_to_tuple_eliminator_ 2.49% : 0.000011s : 80: predicate.load_eliminater 1.09% : 0.000005s : 13: predicate.loop_unroll_after_grad 1.02% : 0.000004s : 31: predicate.loop_unroll_before_grad 1.69% : 0.000007s : 53: predicate.make_slice_get_slice_eliminator 0.85% : 0.000004s : 26: predicate.merge_addn 0.84% : 0.000004s : 26: predicate.micro_step_allgather_replace 0.92% : 0.000004s : 26: predicate.mini_step_allgather_replace 0.72% : 0.000003s : 27: predicate.minmaximum_grad 1.01% : 0.000004s : 13: predicate.mutable_eliminate 0.65% : 0.000003s : 13: predicate.opt_reshape 0.44% : 0.000002s : 13: predicate.parallel_virtual_node 1.16% : 0.000005s : 28: predicate.partial_defer_inline 1.33% : 0.000006s : 40: predicate.partial_eliminate 0.76% : 0.000003s : 27: predicate.print_const_string_wrapper 0.80% : 0.000004s : 26: predicate.reduce_all_const_elim 1.09% : 0.000005s : 27: predicate.reduce_eliminate 2.44% : 0.000011s : 80: predicate.redundant_stop_gradient_eliminater 0.50% : 0.000002s : 26: predicate.remove_not_recompute_node 1.31% : 0.000006s : 53: predicate.replace_applicator 0.56% : 0.000002s : 26: predicate.replace_old_param 0.28% : 0.000001s : 13: predicate.reset_defer_inline 0.97% : 0.000004s : 27: predicate.reshape_eliminate 0.83% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.55% : 0.000002s : 13: predicate.row_tensor_eliminate 1.25% : 0.000005s : 26: predicate.same_eliminate 0.61% : 0.000003s : 26: predicate.set_cell_output_no_recompute 0.97% : 0.000004s : 26: predicate.shard_identity_eliminate 0.94% : 0.000004s : 26: predicate.special_op_eliminate 0.88% : 0.000004s : 26: predicate.specialize_transform 1.03% : 0.000005s : 26: predicate.split_environ_get_set_with_tuple_value 1.04% : 0.000005s : 26: predicate.stack_unstack_eliminate 0.46% : 0.000002s : 13: predicate.switch_call_monad_eliminater 0.86% : 0.000004s : 28: predicate.switch_defer_inline 1.64% : 0.000007s : 54: predicate.switch_layer_defer_inline 3.42% : 0.000015s : 98: predicate.switch_simplify 0.87% : 0.000004s : 27: predicate.tile_eliminate 0.83% : 0.000004s : 27: predicate.transpose_eliminate 1.64% : 0.000007s : 53: predicate.tuple_list_convert_item_index_to_positive 1.74% : 0.000008s : 53: predicate.tuple_list_get_item_const_eliminator 1.57% : 0.000007s : 53: predicate.tuple_list_get_item_depend_reorder 2.86% : 0.000013s : 79: predicate.tuple_list_get_item_eliminator 1.87% : 0.000008s : 53: predicate.tuple_list_get_set_item_eliminator 2.64% : 0.000012s : 79: predicate.tuple_list_set_item_eliminator 1.74% : 0.000008s : 53: predicate.tuple_to_list_eliminator_ 2.39% : 0.000010s : 80: predicate.updatestate_pure_node_eliminater 3.46% : 0.000015s : 106: predicate.updatestate_useless_node_eliminater 0.46% : 0.000002s : 13: predicate.value_based_eliminate 0.90% : 0.000004s : 26: predicate.virtual_dataset_eliminate 0.92% : 0.000004s : 26: predicate.virtual_output_eliminate 0.38% : 0.000002s : 13: predicate.virtual_view_grad_eliminate 0.55% : 0.000002s : 13: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.072667 56 95.87% : 0.069668s : 53: func_graph_cloner_run.FuncGraphClonerGraph 4.13% : 0.002999s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.389766 192 0.00% : 0.000003s : 1: ForceFp32Comm 5.03% : 0.069845s : 1: add_attr 5.02% : 0.069824s : 1: add_attr_with_inline 0.00% : 0.000003s : 1: add_comm_op_reuse_tag 0.01% : 0.000134s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.03% : 0.000444s : 1: auto_monad 0.00% : 0.000050s : 1: auto_monad_reorder 0.00% : 0.000003s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.06% : 0.000781s : 1: bootstrap 0.00% : 0.000039s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.00% : 0.000029s : 1: control_data_broadcast_order 0.00% : 0.000020s : 1: convert_after_rewriter 0.00% : 0.000062s : 1: cse_after_recomputation 0.00% : 0.000010s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000022s : 1: environ_conv 0.00% : 0.000029s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000013s : 1: graph_reusing 0.00% : 0.000004s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000006s : 1: inline 0.00% : 0.000007s : 1: insert-virtual-dataset 0.00% : 0.000005s : 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 0.04% : 0.000536s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000005s : 1: micro_interleaved_order_control 0.06% : 0.000830s : 1: mutable_eliminate 0.00% : 0.000010s : 1: offloading_packed_experts 0.00% : 0.000030s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000030s : 1: opt.transform.mutable_eliminate 0.18% : 0.002540s : 78: opt.transform.opt_a 0.01% : 0.000098s : 1: opt.transform.opt_after_cconv 0.00% : 0.000060s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.000351s : 28: opt.transform.opt_b 0.01% : 0.000126s : 2: opt.transform.opt_trans_graph 0.01% : 0.000099s : 4: opt.transform.symbol_engine_opt 1.09% : 0.015108s : 1: opt_a 0.02% : 0.000224s : 1: opt_after_cconv 0.04% : 0.000616s : 1: opt_after_jit_grad 0.04% : 0.000522s : 1: opt_b 1.34% : 0.018656s : 1: optimize 0.00% : 0.000036s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000014s : 1: order_py_execute_after_rewriter 0.00% : 0.000043s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000012s : 1: overlap_grad_ring_attention 0.00% : 0.000004s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000004s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000007s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000010s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000005s : 1: overlap_recompute_comm 0.00% : 0.000009s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000006s : 1: pipeline_split 0.00% : 0.000045s : 1: pre_auto_parallel 0.00% : 0.000037s : 1: py_interpret_to_execute 0.00% : 0.000031s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.01% : 0.000070s : 1: remove_dup_value 0.50% : 0.006952s : 1: renormalize.infer 0.24% : 0.003314s : 1: renormalize.specialize 0.00% : 0.000005s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000208s : 1: rewriter_after_opt_a 0.01% : 0.000091s : 1: rewriter_before_opt_a 0.00% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000006s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000016s : 1: swap_dp_allreduce_reducescatter 0.01% : 0.000165s : 1: symbol_engine_optimizer 0.01% : 0.000175s : 1: tuple_transform 86.15% : 1.197214s : 1: type_inference . [hook] pytest_runtest_teardown:test_matmul_ffn_bf16_1[False-mstype0-k_n_shape1-1024] tests/st/infer/ops/test_internal_ops/test_matmul_split.py::test_matmul_ffn_bf16_1[False-mstype0-k_n_shape1-1024],max_mem:280.0M [WARNING] ME(169364:281472993333040,MainProcess):2026-01-29-17:42:45.941.001 [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 = 1.14122, [21] [bootstrap]: 0.00159077 [type_inference]: 1.01728 [event_method]: 1.833e-05 [auto_monad]: 0.00033061 [graph_reusing]: 6.33e-06 [inline]: 3.22002e-06 [add_attr]: 0.0198082, [1] [add_attr_with_inline]: 0.0197898, [1] [Cycle 1]: 7.77e-05, [2] [tag_attr]: 2.282e-05 [meta_addattr_fg_expand]: 4.59998e-06 [parallel-infer-symbol]: 5.17999e-06 [pre_auto_parallel]: 3.823e-05 [insert-virtual-dataset]: 2.92002e-06 [parallel-infer-symbol-second]: 7.10017e-07 [dataset_repeat_opt]: 1.64e-06 [pipeline_split]: 1.64e-06 [optimize]: 0.10083, [53] [py_interpret_to_execute]: 3.604e-05 [rewriter_before_opt_a]: 8.598e-05 [opt_a]: 0.0963044, [2] [Cycle 1]: 0.0938223, [45] [expand_dump_flag]: 3.13e-06 [switch_simplify]: 3.767e-05 [loop_unroll]: 2.006e-05 [a_1]: 0.00092905 [with_stream_mark]: 2.843e-05 [recompute_prepare]: 2.949e-05 [updatestate_depend_eliminate]: 1.135e-05 [updatestate_assign_eliminate]: 8.52e-06 [updatestate_loads_eliminate]: 1.098e-05 [parameter_eliminate]: 2.74999e-06 [a_2]: 0.00029316 [accelerated_algorithm]: 5.147e-05 [shard]: 2.62001e-06 [meta_shard_fg_expand]: 3.95e-06 [shard_inline]: 1.763e-05 [merge_send_recv]: 1.404e-05 [auto_parallel]: 1.41e-05 [parallel]: 3.066e-05 [flash_sp]: 1.335e-05 [merge_comm]: 9.22999e-06 [allreduce_fusion]: 8.18001e-06 [matmul_add_comm_reduction]: 1.71e-05 [allreduce_slice_to_reducescatter]: 9.29984e-07 [virtual_shard_identity]: 2.27e-05 [virtual_dataset]: 1.955e-05 [get_grad_eliminate_]: 2.391e-05 [virtual_output]: 1.933e-05 [merge_forward]: 9.05001e-06 [cell_reuse_recompute_pass]: 3.23998e-06 [offload_activation]: 1.797e-05 [cell_reuse_handle_not_recompute_node_pass]: 7.3e-05 [merge_recompute_call_nodes]: 1.92999e-06 [before_grad]: 3.043e-05 [set_forward_comm_id_for_comm_node_pass]: 1.011e-05 [meta_fg_expand]: 6.99001e-06 [flash_sp_send_recv_attached]: 6.94999e-06 [receive_attached]: 2.16998e-06 [after_resolve]: 2.639e-05 [a_after_grad]: 3.098e-05 [renormalize]: 0.0912192 [add_forward_monad_depend]: 1.133e-05 [auto_monad_grad]: 3.53e-06 [auto_monad_eliminator]: 5.912e-05 [cse]: 0.0001584 [a_3]: 0.0001363 [Cycle 2]: 0.0024666, [45] [expand_dump_flag]: 2.41998e-06 [switch_simplify]: 1.913e-05 [loop_unroll]: 1.636e-05 [a_1]: 0.00046435 [with_stream_mark]: 2.587e-05 [recompute_prepare]: 1.769e-05 [updatestate_depend_eliminate]: 9.27999e-06 [updatestate_assign_eliminate]: 8.33999e-06 [updatestate_loads_eliminate]: 1.076e-05 [parameter_eliminate]: 2.49999e-06 [a_2]: 0.00027065 [accelerated_algorithm]: 2.3e-05 [shard]: 2.66e-06 [meta_shard_fg_expand]: 4.30999e-06 [shard_inline]: 1.602e-05 [merge_send_recv]: 1.526e-05 [auto_parallel]: 1.504e-05 [parallel]: 9.30001e-06 [flash_sp]: 4.63999e-06 [merge_comm]: 9.17999e-06 [allreduce_fusion]: 8.77e-06 [matmul_add_comm_reduction]: 1.708e-05 [allreduce_slice_to_reducescatter]: 1.24e-06 [virtual_shard_identity]: 1.857e-05 [virtual_dataset]: 1.56e-05 [get_grad_eliminate_]: 1.507e-05 [virtual_output]: 1.643e-05 [merge_forward]: 8.57e-06 [cell_reuse_recompute_pass]: 3.25e-06 [offload_activation]: 1.724e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.984e-05 [merge_recompute_call_nodes]: 1.47999e-06 [before_grad]: 2.497e-05 [set_forward_comm_id_for_comm_node_pass]: 8.95999e-06 [meta_fg_expand]: 7.16001e-06 [flash_sp_send_recv_attached]: 1.82001e-06 [receive_attached]: 2.47001e-06 [after_resolve]: 2.203e-05 [a_after_grad]: 2.694e-05 [renormalize]: 5.9983e-08 [add_forward_monad_depend]: 2.52001e-06 [auto_monad_grad]: 2.48002e-06 [auto_monad_eliminator]: 3.911e-05 [cse]: 0.0008295 [a_3]: 0.00012075 [py_interpret_to_execute_after_opt_a]: 2.904e-05 [slice_cell_reuse_recomputed_activation]: 2.69001e-06 [rewriter_after_opt_a]: 0.00078703 [convert_after_rewriter]: 1.992e-05 [order_py_execute_after_rewriter]: 1.053e-05 [mutable_eliminate]: 0.00090472 [opt_b]: 0.00054125, [1] [Cycle 1]: 0.00053228, [7] [b_1]: 0.00036712 [b_2]: 1.766e-05 [updatestate_depend_eliminate]: 1.226e-05 [updatestate_assign_eliminate]: 8.06001e-06 [updatestate_loads_eliminate]: 1.095e-05 [renormalize]: 1.07e-06 [cse]: 7.401e-05 [optimize_parallel_all_gather_comm]: 3.105e-05 [overlap_param_gather]: 1.84e-06 [cconv]: 3.907e-05 [loop_unroll]: 0.00054178 [opt_after_cconv]: 0.00028232, [1] [Cycle 1]: 0.00027321, [7] [c_1]: 0.00010073 [parameter_eliminate]: 5.22999e-06 [updatestate_depend_eliminate]: 5.609e-05 [updatestate_assign_eliminate]: 7.31999e-06 [updatestate_loads_eliminate]: 9.67999e-06 [cse]: 5.312e-05 [renormalize]: 6.79982e-07 [remove_dup_value]: 7.683e-05 [tuple_transform]: 0.00017467, [1] [Cycle 1]: 0.00016826, [4] [d_1]: 0.0001207 [none_parameter_eliminate]: 2.68e-06 [renormalize]: 2.00002e-07 [switch_simplify]: 1.709e-05 [partial_unused_args_eliminate]: 2.09999e-06 [add_recomputation]: 0.00024088 [cse_after_recomputation]: 7.061e-05, [1] [Cycle 1]: 6.421e-05, [1] [cse]: 5.458e-05 [environ_conv]: 2.021e-05 [swap_dp_allreduce_reducescatter]: 1.274e-05 [bias_add_comm_swap]: 4.15e-06 [label_micro_interleaved_index]: 6.12001e-06 [label_fine_grained_interleaved_index]: 2.68e-06 [merge_cast_opt]: 1.48002e-06 [slice_recompute_activation]: 2.37001e-06 [micro_interleaved_order_control]: 2.46998e-06 [assign_add_opt]: 1.71e-06 [ForceFp32Comm]: 1.44e-06 [remove_cast_before_assign_add]: 1.05999e-06 [full_micro_interleaved_order_control]: 2.48998e-06 [reorder_send_recv_between_fp_bp]: 2.56998e-06 [comm_op_add_attrs]: 1.13001e-06 [add_comm_op_reuse_tag]: 9.60019e-07 [interleave_split_concat_branches]: 1.18001e-06 [interleave_parallel_branches]: 1.00001e-06 [overlap_opt_shard_in_pipeline]: 1.35001e-06 [overlap_opt_shard_grad_in_pipeline]: 1.60999e-06 [control_data_broadcast_order]: 2.998e-05 [grouped_pairwise_exchange_alltoall]: 2.06e-06 [offloading_packed_experts]: 6.97002e-06 [overlap_recompute_and_grad_model_parallel]: 8.1e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.26002e-06 [overlap_recompute_allgather_and_fa_grad]: 1.79998e-06 [overlap_recompute_comm]: 2.24999e-06 [overlap_grad_ring_attention]: 9.14e-06 [overlap_grad_flash_sp]: 4.031e-05 [begin_end_overlap_inline]: 5.3001e-07 [split_matmul_comm_elemetwise]: 2.53e-06 [split_layernorm_comm]: 1.83002e-06 [handle_group_info]: 9.79984e-07 [symbol_engine_optimizer]: 0.0001826, [1] [Cycle 1]: 0.0001745, [6] [build]: 1.782e-05 [elim_shapecalc]: 2.918e-05 [elim_not_effective]: 3.421e-05 [opt_reshape]: 2.378e-05 [fold_const_symbol]: 2.481e-05 [renormalize]: 3.9002e-07 [detach_backward]: 2.85998e-06 [pipeline_parallel_scheduler]: 1.54998e-06 [auto_monad_reorder]: 5.455e-05 [get_jit_bprop_graph]: 2.29999e-06 [rewriter_after_jit_bprop_graph]: 7.22002e-06 [opt_after_jit_grad]: 0.00082233 [validate]: 0.00016168 Sums bootstrap : 0.001591s : 0.14% type_inference : 1.017280s : 90.83% event_method : 0.000018s : 0.00% auto_monad : 0.000331s : 0.03% graph_reusing : 0.000006s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000023s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000005s : 0.00% parallel-infer-symbol : 0.000005s : 0.00% pre_auto_parallel : 0.000038s : 0.00% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000036s : 0.00% optimize.rewriter_before_opt_a : 0.000086s : 0.01% optimize.opt_a.expand_dump_flag : 0.000006s : 0.00% optimize.opt_a.switch_simplify : 0.000057s : 0.01% optimize.opt_a.loop_unroll : 0.000036s : 0.00% optimize.opt_a.a_1 : 0.001393s : 0.12% optimize.opt_a.with_stream_mark : 0.000054s : 0.00% optimize.opt_a.recompute_prepare : 0.000047s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000021s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000017s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000022s : 0.00% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.000564s : 0.05% optimize.opt_a.accelerated_algorithm : 0.000074s : 0.01% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000008s : 0.00% optimize.opt_a.shard_inline : 0.000034s : 0.00% optimize.opt_a.merge_send_recv : 0.000029s : 0.00% optimize.opt_a.auto_parallel : 0.000029s : 0.00% optimize.opt_a.parallel : 0.000040s : 0.00% optimize.opt_a.flash_sp : 0.000018s : 0.00% optimize.opt_a.merge_comm : 0.000018s : 0.00% optimize.opt_a.allreduce_fusion : 0.000017s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000034s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000041s : 0.00% optimize.opt_a.virtual_dataset : 0.000035s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000039s : 0.00% optimize.opt_a.virtual_output : 0.000036s : 0.00% optimize.opt_a.merge_forward : 0.000018s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% optimize.opt_a.offload_activation : 0.000035s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000103s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000055s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000019s : 0.00% optimize.opt_a.meta_fg_expand : 0.000014s : 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 : 0.000048s : 0.00% optimize.opt_a.a_after_grad : 0.000058s : 0.01% optimize.opt_a.renormalize : 0.091219s : 8.14% optimize.opt_a.add_forward_monad_depend : 0.000014s : 0.00% optimize.opt_a.auto_monad_grad : 0.000006s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000098s : 0.01% optimize.opt_a.cse : 0.000988s : 0.09% optimize.opt_a.a_3 : 0.000257s : 0.02% optimize.py_interpret_to_execute_after_opt_a : 0.000029s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000787s : 0.07% optimize.convert_after_rewriter : 0.000020s : 0.00% optimize.order_py_execute_after_rewriter : 0.000011s : 0.00% optimize.mutable_eliminate : 0.000905s : 0.08% optimize.opt_b.b_1 : 0.000367s : 0.03% optimize.opt_b.b_2 : 0.000018s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000012s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000008s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000011s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000074s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000031s : 0.00% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000039s : 0.00% optimize.loop_unroll : 0.000542s : 0.05% optimize.opt_after_cconv.c_1 : 0.000101s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000056s : 0.01% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000010s : 0.00% optimize.opt_after_cconv.cse : 0.000053s : 0.00% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000077s : 0.01% optimize.tuple_transform.d_1 : 0.000121s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000003s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000017s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000241s : 0.02% optimize.cse_after_recomputation.cse : 0.000055s : 0.00% optimize.environ_conv : 0.000020s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000013s : 0.00% optimize.bias_add_comm_swap : 0.000004s : 0.00% optimize.label_micro_interleaved_index : 0.000006s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000001s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 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 : 0.000001s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000030s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000007s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000008s : 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 : 0.000009s : 0.00% optimize.overlap_grad_flash_sp : 0.000040s : 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 : 0.000018s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000029s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000034s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000024s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000025s : 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 : 0.000055s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000822s : 0.07% validate : 0.000162s : 0.01% Time group info: ------[substitution.] 0.000288 96 3.75% : 0.000011s : 2: substitution.depend_value_elim 1.46% : 0.000004s : 8: substitution.elim_not_effective 1.12% : 0.000003s : 8: substitution.fold_const_symbol 4.71% : 0.000014s : 13: substitution.graph_param_transform 44.52% : 0.000128s : 1: substitution.inline 3.06% : 0.000009s : 16: substitution.j_node_and_user_rematch 8.29% : 0.000024s : 2: substitution.less_batch_normalization 2.03% : 0.000006s : 6: substitution.load_eliminater 0.98% : 0.000003s : 2: substitution.opt_reshape 4.36% : 0.000013s : 16: substitution.remove_not_recompute_node 2.88% : 0.000008s : 4: substitution.replace_old_param 10.42% : 0.000030s : 4: substitution.reshape_eliminate 6.53% : 0.000019s : 6: substitution.updatestate_pure_node_eliminater 5.88% : 0.000017s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.017155 2 99.51% : 1.012160s : 1: type_inference.infer 0.49% : 0.004995s : 1: type_inference.specialize ------[replace.] 0.000019 1 100.00% : 0.000019s : 1: replace.inline ------[match.] 0.000127 1 100.00% : 0.000127s : 1: match.inline ------[predicate.] 0.000454 3002 0.86% : 0.000004s : 27: predicate.accumulaten_eliminater 1.14% : 0.000005s : 13: predicate.ad_related_special_op_eliminate 0.73% : 0.000003s : 26: predicate.addn_check_dump 0.83% : 0.000004s : 27: predicate.addn_zero_filter 0.71% : 0.000003s : 27: predicate.adjust_all_reduce_mul_add 2.30% : 0.000010s : 53: predicate.arithmetic_simplify 0.86% : 0.000004s : 27: predicate.cast_eliminate 0.76% : 0.000003s : 26: predicate.check_bprop_eliminate 0.76% : 0.000003s : 26: predicate.compare_switch_simplify 0.24% : 0.000001s : 13: predicate.const_output_eliminate 0.86% : 0.000004s : 26: predicate.depend_value_elim 0.83% : 0.000004s : 27: predicate.dict_get_item_const_eliminator 0.89% : 0.000004s : 27: predicate.dict_get_item_eliminator 0.83% : 0.000004s : 27: predicate.dict_set_item_eliminator 1.34% : 0.000006s : 26: predicate.dumpgradient_eliminate 0.28% : 0.000001s : 13: predicate.elim_not_effective 0.59% : 0.000003s : 13: predicate.elim_shapecalc_of_broadcastargs 1.23% : 0.000006s : 40: predicate.environ_add_const_eliminate 1.11% : 0.000005s : 40: predicate.environ_get_add_eliminate 1.12% : 0.000005s : 40: predicate.environ_get_depend_swap 1.98% : 0.000009s : 66: predicate.environ_get_eliminate 1.15% : 0.000005s : 40: predicate.environ_get_set_eliminate 0.77% : 0.000004s : 28: predicate.exchange_switch_depend_value 1.25% : 0.000006s : 28: predicate.float_depend_g_call 0.87% : 0.000004s : 26: predicate.float_environ_get_switch 1.14% : 0.000005s : 39: predicate.float_tuple_getitem_switch 0.28% : 0.000001s : 13: predicate.fold_const_symbol 0.87% : 0.000004s : 26: predicate.get_grad_eliminate 0.30% : 0.000001s : 13: predicate.graph_param_transform 0.76% : 0.000003s : 26: predicate.incorporate_call 0.78% : 0.000004s : 26: predicate.incorporate_call_switch 5.42% : 0.000025s : 133: predicate.inline 1.01% : 0.000005s : 26: predicate.inline_without_move 0.49% : 0.000002s : 26: predicate.j_node_and_user_rematch 1.13% : 0.000005s : 27: predicate.less_batch_normalization 1.71% : 0.000008s : 53: predicate.list_to_tuple_eliminator_ 2.24% : 0.000010s : 80: predicate.load_eliminater 0.88% : 0.000004s : 13: predicate.loop_unroll_after_grad 0.98% : 0.000004s : 31: predicate.loop_unroll_before_grad 1.72% : 0.000008s : 53: predicate.make_slice_get_slice_eliminator 0.81% : 0.000004s : 26: predicate.merge_addn 0.77% : 0.000004s : 26: predicate.micro_step_allgather_replace 0.76% : 0.000003s : 26: predicate.mini_step_allgather_replace 0.75% : 0.000003s : 27: predicate.minmaximum_grad 1.08% : 0.000005s : 13: predicate.mutable_eliminate 0.58% : 0.000003s : 13: predicate.opt_reshape 0.44% : 0.000002s : 13: predicate.parallel_virtual_node 1.18% : 0.000005s : 28: predicate.partial_defer_inline 1.25% : 0.000006s : 40: predicate.partial_eliminate 0.80% : 0.000004s : 27: predicate.print_const_string_wrapper 0.83% : 0.000004s : 26: predicate.reduce_all_const_elim 1.15% : 0.000005s : 27: predicate.reduce_eliminate 2.24% : 0.000010s : 80: predicate.redundant_stop_gradient_eliminater 0.60% : 0.000003s : 26: predicate.remove_not_recompute_node 1.41% : 0.000006s : 53: predicate.replace_applicator 0.54% : 0.000002s : 26: predicate.replace_old_param 0.34% : 0.000002s : 13: predicate.reset_defer_inline 1.25% : 0.000006s : 27: predicate.reshape_eliminate 0.95% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.48% : 0.000002s : 13: predicate.row_tensor_eliminate 1.29% : 0.000006s : 26: predicate.same_eliminate 0.58% : 0.000003s : 26: predicate.set_cell_output_no_recompute 0.94% : 0.000004s : 26: predicate.shard_identity_eliminate 1.05% : 0.000005s : 26: predicate.special_op_eliminate 0.85% : 0.000004s : 26: predicate.specialize_transform 1.22% : 0.000006s : 26: predicate.split_environ_get_set_with_tuple_value 1.00% : 0.000005s : 26: predicate.stack_unstack_eliminate 0.54% : 0.000002s : 13: predicate.switch_call_monad_eliminater 0.89% : 0.000004s : 28: predicate.switch_defer_inline 1.62% : 0.000007s : 54: predicate.switch_layer_defer_inline 3.41% : 0.000015s : 98: predicate.switch_simplify 0.82% : 0.000004s : 27: predicate.tile_eliminate 0.85% : 0.000004s : 27: predicate.transpose_eliminate 1.71% : 0.000008s : 53: predicate.tuple_list_convert_item_index_to_positive 1.67% : 0.000008s : 53: predicate.tuple_list_get_item_const_eliminator 1.68% : 0.000008s : 53: predicate.tuple_list_get_item_depend_reorder 2.71% : 0.000012s : 79: predicate.tuple_list_get_item_eliminator 1.71% : 0.000008s : 53: predicate.tuple_list_get_set_item_eliminator 2.75% : 0.000012s : 79: predicate.tuple_list_set_item_eliminator 1.74% : 0.000008s : 53: predicate.tuple_to_list_eliminator_ 2.22% : 0.000010s : 80: predicate.updatestate_pure_node_eliminater 3.36% : 0.000015s : 106: predicate.updatestate_useless_node_eliminater 0.43% : 0.000002s : 13: predicate.value_based_eliminate 0.85% : 0.000004s : 26: predicate.virtual_dataset_eliminate 0.98% : 0.000004s : 26: predicate.virtual_output_eliminate 0.42% : 0.000002s : 13: predicate.virtual_view_grad_eliminate 0.51% : 0.000002s : 13: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.015760 56 78.26% : 0.012334s : 53: func_graph_cloner_run.FuncGraphClonerGraph 21.74% : 0.003426s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.356332 192 0.00% : 0.000004s : 1: ForceFp32Comm 1.46% : 0.019816s : 1: add_attr 1.46% : 0.019794s : 1: add_attr_with_inline 0.00% : 0.000003s : 1: add_comm_op_reuse_tag 0.02% : 0.000252s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.03% : 0.000343s : 1: auto_monad 0.00% : 0.000063s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.12% : 0.001657s : 1: bootstrap 0.00% : 0.000043s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.00% : 0.000035s : 1: control_data_broadcast_order 0.00% : 0.000025s : 1: convert_after_rewriter 0.01% : 0.000074s : 1: cse_after_recomputation 0.00% : 0.000004s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000025s : 1: environ_conv 0.00% : 0.000026s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000011s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000006s : 1: inline 0.00% : 0.000008s : 1: insert-virtual-dataset 0.00% : 0.000005s : 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% : 0.000009s : 1: label_micro_interleaved_index 0.04% : 0.000552s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000005s : 1: micro_interleaved_order_control 0.07% : 0.000918s : 1: mutable_eliminate 0.00% : 0.000010s : 1: offloading_packed_experts 0.00% : 0.000027s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000035s : 1: opt.transform.mutable_eliminate 0.20% : 0.002741s : 78: opt.transform.opt_a 0.01% : 0.000099s : 1: opt.transform.opt_after_cconv 0.01% : 0.000072s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.000348s : 28: opt.transform.opt_b 0.01% : 0.000135s : 2: opt.transform.opt_trans_graph 0.01% : 0.000106s : 4: opt.transform.symbol_engine_opt 7.10% : 0.096309s : 1: opt_a 0.02% : 0.000287s : 1: opt_after_cconv 0.06% : 0.000839s : 1: opt_after_jit_grad 0.04% : 0.000545s : 1: opt_b 7.43% : 0.100837s : 1: optimize 0.00% : 0.000035s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000014s : 1: order_py_execute_after_rewriter 0.00% : 0.000044s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000015s : 1: overlap_grad_ring_attention 0.00% : 0.000004s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000004s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000007s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000011s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000005s : 1: overlap_recompute_comm 0.00% : 0.000009s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.00% : 0.000043s : 1: pre_auto_parallel 0.00% : 0.000041s : 1: py_interpret_to_execute 0.00% : 0.000033s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.01% : 0.000082s : 1: remove_dup_value 6.44% : 0.087397s : 1: renormalize.infer 0.28% : 0.003804s : 1: renormalize.specialize 0.00% : 0.000005s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.06% : 0.000798s : 1: rewriter_after_opt_a 0.01% : 0.000091s : 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% : 0.000006s : 1: split_matmul_comm_elemetwise 0.00% : 0.000016s : 1: swap_dp_allreduce_reducescatter 0.01% : 0.000186s : 1: symbol_engine_optimizer 0.01% : 0.000178s : 1: tuple_transform 75.01% : 1.017319s : 1: type_inference . [hook] pytest_runtest_teardown:test_matmul_ffn_bf16_1[False-mstype0-k_n_shape2-256] tests/st/infer/ops/test_internal_ops/test_matmul_split.py::test_matmul_ffn_bf16_1[False-mstype0-k_n_shape2-256],max_mem:372.0M [WARNING] ME(169364:281472993333040,MainProcess):2026-01-29-17:43:26.828.776 [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 = 1.52124, [21] [bootstrap]: 0.00074737 [type_inference]: 1.4074 [event_method]: 2.233e-05 [auto_monad]: 0.0004901 [graph_reusing]: 7.50998e-06 [inline]: 2.69001e-06 [add_attr]: 0.00712613, [1] [add_attr_with_inline]: 0.00711166, [1] [Cycle 1]: 7.514e-05, [2] [tag_attr]: 2.286e-05 [meta_addattr_fg_expand]: 4.94e-06 [parallel-infer-symbol]: 5.06997e-06 [pre_auto_parallel]: 3.935e-05 [insert-virtual-dataset]: 2.63003e-06 [parallel-infer-symbol-second]: 7.00005e-07 [dataset_repeat_opt]: 1.77999e-06 [pipeline_split]: 1.92001e-06 [optimize]: 0.104382, [53] [py_interpret_to_execute]: 3.251e-05 [rewriter_before_opt_a]: 8.057e-05 [opt_a]: 0.0991894, [2] [Cycle 1]: 0.0243175, [45] [expand_dump_flag]: 2.91e-06 [switch_simplify]: 3.264e-05 [loop_unroll]: 1.996e-05 [a_1]: 0.00089809 [with_stream_mark]: 3.292e-05 [recompute_prepare]: 2.394e-05 [updatestate_depend_eliminate]: 1.14e-05 [updatestate_assign_eliminate]: 8.52e-06 [updatestate_loads_eliminate]: 1.142e-05 [parameter_eliminate]: 2.42001e-06 [a_2]: 0.00026074 [accelerated_algorithm]: 6.799e-05 [shard]: 3.34001e-06 [meta_shard_fg_expand]: 5.10001e-06 [shard_inline]: 2.09e-05 [merge_send_recv]: 1.644e-05 [auto_parallel]: 1.448e-05 [parallel]: 2.981e-05 [flash_sp]: 1.359e-05 [merge_comm]: 1.19e-05 [allreduce_fusion]: 8.25e-06 [matmul_add_comm_reduction]: 1.644e-05 [allreduce_slice_to_reducescatter]: 8.79983e-07 [virtual_shard_identity]: 2.13e-05 [virtual_dataset]: 2.205e-05 [get_grad_eliminate_]: 1.92e-05 [virtual_output]: 1.901e-05 [merge_forward]: 8.80001e-06 [cell_reuse_recompute_pass]: 2.23998e-06 [offload_activation]: 1.788e-05 [cell_reuse_handle_not_recompute_node_pass]: 3.668e-05 [merge_recompute_call_nodes]: 2.08002e-06 [before_grad]: 3.066e-05 [set_forward_comm_id_for_comm_node_pass]: 9.89001e-06 [meta_fg_expand]: 6.79999e-06 [flash_sp_send_recv_attached]: 6.53e-06 [receive_attached]: 2.89001e-06 [after_resolve]: 2.389e-05 [a_after_grad]: 3.402e-05 [renormalize]: 0.0218505 [add_forward_monad_depend]: 1.041e-05 [auto_monad_grad]: 2.39001e-06 [auto_monad_eliminator]: 5.567e-05 [cse]: 0.00014641 [a_3]: 0.00013141 [Cycle 2]: 0.0748545, [45] [expand_dump_flag]: 2.82002e-06 [switch_simplify]: 1.839e-05 [loop_unroll]: 1.662e-05 [a_1]: 0.00048567 [with_stream_mark]: 2.287e-05 [recompute_prepare]: 1.712e-05 [updatestate_depend_eliminate]: 9.39998e-06 [updatestate_assign_eliminate]: 7.45e-06 [updatestate_loads_eliminate]: 1.028e-05 [parameter_eliminate]: 2.21998e-06 [a_2]: 0.00021623 [accelerated_algorithm]: 2.047e-05 [shard]: 2.41998e-06 [meta_shard_fg_expand]: 3.60998e-06 [shard_inline]: 1.489e-05 [merge_send_recv]: 1.39e-05 [auto_parallel]: 1.486e-05 [parallel]: 9.89999e-06 [flash_sp]: 4.28999e-06 [merge_comm]: 8.23999e-06 [allreduce_fusion]: 9.25001e-06 [matmul_add_comm_reduction]: 1.644e-05 [allreduce_slice_to_reducescatter]: 8.59989e-07 [virtual_shard_identity]: 1.695e-05 [virtual_dataset]: 1.516e-05 [get_grad_eliminate_]: 1.506e-05 [virtual_output]: 1.469e-05 [merge_forward]: 8.43999e-06 [cell_reuse_recompute_pass]: 2.86e-06 [offload_activation]: 1.569e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.729e-05 [merge_recompute_call_nodes]: 2.06e-06 [before_grad]: 2.437e-05 [set_forward_comm_id_for_comm_node_pass]: 8.33999e-06 [meta_fg_expand]: 6.21e-06 [flash_sp_send_recv_attached]: 2.06998e-06 [receive_attached]: 2.29001e-06 [after_resolve]: 2.092e-05 [a_after_grad]: 2.53e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 2.17999e-06 [auto_monad_grad]: 1.55001e-06 [auto_monad_eliminator]: 3.061e-05 [cse]: 0.0732617 [a_3]: 0.0001476 [py_interpret_to_execute_after_opt_a]: 3.387e-05 [slice_cell_reuse_recomputed_activation]: 3.74002e-06 [rewriter_after_opt_a]: 0.00152569 [convert_after_rewriter]: 2.215e-05 [order_py_execute_after_rewriter]: 1.089e-05 [mutable_eliminate]: 0.00086361 [opt_b]: 0.00057457, [1] [Cycle 1]: 0.00056467, [7] [b_1]: 0.0003787 [b_2]: 2.09e-05 [updatestate_depend_eliminate]: 1.479e-05 [updatestate_assign_eliminate]: 8.15e-06 [updatestate_loads_eliminate]: 1.113e-05 [renormalize]: 7.39994e-07 [cse]: 8.145e-05 [optimize_parallel_all_gather_comm]: 3.376e-05 [overlap_param_gather]: 2.41e-06 [cconv]: 4.269e-05 [loop_unroll]: 0.00059552 [opt_after_cconv]: 0.00024474, [1] [Cycle 1]: 0.00023601, [7] [c_1]: 0.00010438 [parameter_eliminate]: 5.70001e-06 [updatestate_depend_eliminate]: 1.484e-05 [updatestate_assign_eliminate]: 7.1e-06 [updatestate_loads_eliminate]: 8.78001e-06 [cse]: 5.346e-05 [renormalize]: 1.02e-06 [remove_dup_value]: 7.701e-05 [tuple_transform]: 0.0002248, [1] [Cycle 1]: 0.00021853, [4] [d_1]: 0.00017103 [none_parameter_eliminate]: 2.66e-06 [renormalize]: 1.90019e-07 [switch_simplify]: 1.828e-05 [partial_unused_args_eliminate]: 2.17001e-06 [add_recomputation]: 0.00012849 [cse_after_recomputation]: 6.014e-05, [1] [Cycle 1]: 5.556e-05, [1] [cse]: 4.7e-05 [environ_conv]: 1.877e-05 [swap_dp_allreduce_reducescatter]: 1.322e-05 [bias_add_comm_swap]: 3.68e-06 [label_micro_interleaved_index]: 5.47999e-06 [label_fine_grained_interleaved_index]: 3.03998e-06 [merge_cast_opt]: 1.45999e-06 [slice_recompute_activation]: 2.10002e-06 [micro_interleaved_order_control]: 2.65002e-06 [assign_add_opt]: 1.59e-06 [ForceFp32Comm]: 8.89995e-07 [remove_cast_before_assign_add]: 1.22e-06 [full_micro_interleaved_order_control]: 2.41e-06 [reorder_send_recv_between_fp_bp]: 2.76e-06 [comm_op_add_attrs]: 1.27e-06 [add_comm_op_reuse_tag]: 1.22e-06 [interleave_split_concat_branches]: 1.15999e-06 [interleave_parallel_branches]: 9.70002e-07 [overlap_opt_shard_in_pipeline]: 1.27e-06 [overlap_opt_shard_grad_in_pipeline]: 2.10002e-06 [control_data_broadcast_order]: 2.756e-05 [grouped_pairwise_exchange_alltoall]: 1.47999e-06 [offloading_packed_experts]: 6.96999e-06 [overlap_recompute_and_grad_model_parallel]: 7.41999e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.15001e-06 [overlap_recompute_allgather_and_fa_grad]: 1.19e-06 [overlap_recompute_comm]: 2.49999e-06 [overlap_grad_ring_attention]: 8.03999e-06 [overlap_grad_flash_sp]: 3.876e-05 [begin_end_overlap_inline]: 4.7998e-07 [split_matmul_comm_elemetwise]: 2.65002e-06 [split_layernorm_comm]: 1.68002e-06 [handle_group_info]: 1.04998e-06 [symbol_engine_optimizer]: 0.00016906, [1] [Cycle 1]: 0.00016125, [6] [build]: 1.691e-05 [elim_shapecalc]: 2.519e-05 [elim_not_effective]: 3.152e-05 [opt_reshape]: 2.294e-05 [fold_const_symbol]: 2.545e-05 [renormalize]: 1.8999e-07 [detach_backward]: 3.29001e-06 [pipeline_parallel_scheduler]: 1.81e-06 [auto_monad_reorder]: 4.787e-05 [get_jit_bprop_graph]: 2.12001e-06 [rewriter_after_jit_bprop_graph]: 6.21e-06 [opt_after_jit_grad]: 0.00062415 [validate]: 9.164e-05 Sums bootstrap : 0.000747s : 0.05% type_inference : 1.407401s : 93.03% event_method : 0.000022s : 0.00% auto_monad : 0.000490s : 0.03% graph_reusing : 0.000008s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000023s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000005s : 0.00% parallel-infer-symbol : 0.000005s : 0.00% pre_auto_parallel : 0.000039s : 0.00% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000033s : 0.00% optimize.rewriter_before_opt_a : 0.000081s : 0.01% optimize.opt_a.expand_dump_flag : 0.000006s : 0.00% optimize.opt_a.switch_simplify : 0.000051s : 0.00% optimize.opt_a.loop_unroll : 0.000037s : 0.00% optimize.opt_a.a_1 : 0.001384s : 0.09% optimize.opt_a.with_stream_mark : 0.000056s : 0.00% optimize.opt_a.recompute_prepare : 0.000041s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000021s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000016s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000022s : 0.00% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.000477s : 0.03% optimize.opt_a.accelerated_algorithm : 0.000088s : 0.01% optimize.opt_a.shard : 0.000006s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000009s : 0.00% optimize.opt_a.shard_inline : 0.000036s : 0.00% optimize.opt_a.merge_send_recv : 0.000030s : 0.00% optimize.opt_a.auto_parallel : 0.000029s : 0.00% optimize.opt_a.parallel : 0.000040s : 0.00% optimize.opt_a.flash_sp : 0.000018s : 0.00% optimize.opt_a.merge_comm : 0.000020s : 0.00% optimize.opt_a.allreduce_fusion : 0.000018s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000033s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000038s : 0.00% optimize.opt_a.virtual_dataset : 0.000037s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000034s : 0.00% optimize.opt_a.virtual_output : 0.000034s : 0.00% optimize.opt_a.merge_forward : 0.000017s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% optimize.opt_a.offload_activation : 0.000034s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000064s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000004s : 0.00% optimize.opt_a.before_grad : 0.000055s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000018s : 0.00% optimize.opt_a.meta_fg_expand : 0.000013s : 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 : 0.000045s : 0.00% optimize.opt_a.a_after_grad : 0.000059s : 0.00% optimize.opt_a.renormalize : 0.021851s : 1.44% optimize.opt_a.add_forward_monad_depend : 0.000013s : 0.00% optimize.opt_a.auto_monad_grad : 0.000004s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000086s : 0.01% optimize.opt_a.cse : 0.073408s : 4.85% optimize.opt_a.a_3 : 0.000279s : 0.02% optimize.py_interpret_to_execute_after_opt_a : 0.000034s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000004s : 0.00% optimize.rewriter_after_opt_a : 0.001526s : 0.10% optimize.convert_after_rewriter : 0.000022s : 0.00% optimize.order_py_execute_after_rewriter : 0.000011s : 0.00% optimize.mutable_eliminate : 0.000864s : 0.06% optimize.opt_b.b_1 : 0.000379s : 0.03% optimize.opt_b.b_2 : 0.000021s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000015s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000008s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000011s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000081s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000034s : 0.00% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000043s : 0.00% optimize.loop_unroll : 0.000596s : 0.04% optimize.opt_after_cconv.c_1 : 0.000104s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000015s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000009s : 0.00% optimize.opt_after_cconv.cse : 0.000053s : 0.00% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000077s : 0.01% optimize.tuple_transform.d_1 : 0.000171s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000003s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000018s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000128s : 0.01% optimize.cse_after_recomputation.cse : 0.000047s : 0.00% optimize.environ_conv : 0.000019s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000013s : 0.00% optimize.bias_add_comm_swap : 0.000004s : 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 : 0.000002s : 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 : 0.000001s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000028s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000001s : 0.00% optimize.offloading_packed_experts : 0.000007s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000007s : 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 : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000008s : 0.00% optimize.overlap_grad_flash_sp : 0.000039s : 0.00% optimize.begin_end_overlap_inline : 0.000000s : 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 : 0.000017s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000025s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000032s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000023s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000025s : 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 : 0.000048s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000624s : 0.04% validate : 0.000092s : 0.01% Time group info: ------[substitution.] 0.000279 96 3.62% : 0.000010s : 2: substitution.depend_value_elim 1.28% : 0.000004s : 8: substitution.elim_not_effective 1.28% : 0.000004s : 8: substitution.fold_const_symbol 4.33% : 0.000012s : 13: substitution.graph_param_transform 42.67% : 0.000119s : 1: substitution.inline 3.11% : 0.000009s : 16: substitution.j_node_and_user_rematch 7.74% : 0.000022s : 2: substitution.less_batch_normalization 1.94% : 0.000005s : 6: substitution.load_eliminater 1.26% : 0.000004s : 2: substitution.opt_reshape 4.17% : 0.000012s : 16: substitution.remove_not_recompute_node 2.37% : 0.000007s : 4: substitution.replace_old_param 11.22% : 0.000031s : 4: substitution.reshape_eliminate 8.55% : 0.000024s : 6: substitution.updatestate_pure_node_eliminater 6.46% : 0.000018s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.327183 2 99.63% : 1.322256s : 1: type_inference.infer 0.37% : 0.004928s : 1: type_inference.specialize ------[replace.] 0.000017 1 100.00% : 0.000017s : 1: replace.inline ------[match.] 0.000117 1 100.00% : 0.000117s : 1: match.inline ------[predicate.] 0.000473 3002 0.80% : 0.000004s : 27: predicate.accumulaten_eliminater 1.06% : 0.000005s : 13: predicate.ad_related_special_op_eliminate 0.69% : 0.000003s : 26: predicate.addn_check_dump 0.76% : 0.000004s : 27: predicate.addn_zero_filter 0.69% : 0.000003s : 27: predicate.adjust_all_reduce_mul_add 1.89% : 0.000009s : 53: predicate.arithmetic_simplify 0.81% : 0.000004s : 27: predicate.cast_eliminate 0.81% : 0.000004s : 26: predicate.check_bprop_eliminate 0.71% : 0.000003s : 26: predicate.compare_switch_simplify 0.26% : 0.000001s : 13: predicate.const_output_eliminate 0.79% : 0.000004s : 26: predicate.depend_value_elim 0.81% : 0.000004s : 27: predicate.dict_get_item_const_eliminator 1.06% : 0.000005s : 27: predicate.dict_get_item_eliminator 0.79% : 0.000004s : 27: predicate.dict_set_item_eliminator 1.08% : 0.000005s : 26: predicate.dumpgradient_eliminate 0.34% : 0.000002s : 13: predicate.elim_not_effective 0.62% : 0.000003s : 13: predicate.elim_shapecalc_of_broadcastargs 1.14% : 0.000005s : 40: predicate.environ_add_const_eliminate 1.08% : 0.000005s : 40: predicate.environ_get_add_eliminate 1.11% : 0.000005s : 40: predicate.environ_get_depend_swap 1.82% : 0.000009s : 66: predicate.environ_get_eliminate 1.04% : 0.000005s : 40: predicate.environ_get_set_eliminate 0.74% : 0.000003s : 28: predicate.exchange_switch_depend_value 1.31% : 0.000006s : 28: predicate.float_depend_g_call 0.72% : 0.000003s : 26: predicate.float_environ_get_switch 1.07% : 0.000005s : 39: predicate.float_tuple_getitem_switch 0.22% : 0.000001s : 13: predicate.fold_const_symbol 0.79% : 0.000004s : 26: predicate.get_grad_eliminate 0.29% : 0.000001s : 13: predicate.graph_param_transform 0.75% : 0.000004s : 26: predicate.incorporate_call 0.67% : 0.000003s : 26: predicate.incorporate_call_switch 5.05% : 0.000024s : 133: predicate.inline 0.91% : 0.000004s : 26: predicate.inline_without_move 0.41% : 0.000002s : 26: predicate.j_node_and_user_rematch 1.32% : 0.000006s : 27: predicate.less_batch_normalization 1.59% : 0.000007s : 53: predicate.list_to_tuple_eliminator_ 2.13% : 0.000010s : 80: predicate.load_eliminater 1.15% : 0.000005s : 13: predicate.loop_unroll_after_grad 1.02% : 0.000005s : 31: predicate.loop_unroll_before_grad 1.64% : 0.000008s : 53: predicate.make_slice_get_slice_eliminator 0.73% : 0.000003s : 26: predicate.merge_addn 0.80% : 0.000004s : 26: predicate.micro_step_allgather_replace 0.85% : 0.000004s : 26: predicate.mini_step_allgather_replace 0.69% : 0.000003s : 27: predicate.minmaximum_grad 1.20% : 0.000006s : 13: predicate.mutable_eliminate 0.52% : 0.000002s : 13: predicate.opt_reshape 0.52% : 0.000002s : 13: predicate.parallel_virtual_node 1.09% : 0.000005s : 28: predicate.partial_defer_inline 1.23% : 0.000006s : 40: predicate.partial_eliminate 0.71% : 0.000003s : 27: predicate.print_const_string_wrapper 0.78% : 0.000004s : 26: predicate.reduce_all_const_elim 1.03% : 0.000005s : 27: predicate.reduce_eliminate 2.13% : 0.000010s : 80: predicate.redundant_stop_gradient_eliminater 0.49% : 0.000002s : 26: predicate.remove_not_recompute_node 1.39% : 0.000007s : 53: predicate.replace_applicator 0.51% : 0.000002s : 26: predicate.replace_old_param 0.35% : 0.000002s : 13: predicate.reset_defer_inline 0.89% : 0.000004s : 27: predicate.reshape_eliminate 0.85% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.52% : 0.000002s : 13: predicate.row_tensor_eliminate 1.44% : 0.000007s : 26: predicate.same_eliminate 0.55% : 0.000003s : 26: predicate.set_cell_output_no_recompute 0.87% : 0.000004s : 26: predicate.shard_identity_eliminate 0.84% : 0.000004s : 26: predicate.special_op_eliminate 0.83% : 0.000004s : 26: predicate.specialize_transform 1.23% : 0.000006s : 26: predicate.split_environ_get_set_with_tuple_value 1.10% : 0.000005s : 26: predicate.stack_unstack_eliminate 0.52% : 0.000002s : 13: predicate.switch_call_monad_eliminater 0.79% : 0.000004s : 28: predicate.switch_defer_inline 1.59% : 0.000008s : 54: predicate.switch_layer_defer_inline 3.44% : 0.000016s : 98: predicate.switch_simplify 0.78% : 0.000004s : 27: predicate.tile_eliminate 0.74% : 0.000003s : 27: predicate.transpose_eliminate 5.81% : 0.000027s : 53: predicate.tuple_list_convert_item_index_to_positive 1.68% : 0.000008s : 53: predicate.tuple_list_get_item_const_eliminator 1.63% : 0.000008s : 53: predicate.tuple_list_get_item_depend_reorder 2.88% : 0.000014s : 79: predicate.tuple_list_get_item_eliminator 1.56% : 0.000007s : 53: predicate.tuple_list_get_set_item_eliminator 2.50% : 0.000012s : 79: predicate.tuple_list_set_item_eliminator 1.49% : 0.000007s : 53: predicate.tuple_to_list_eliminator_ 2.19% : 0.000010s : 80: predicate.updatestate_pure_node_eliminater 3.35% : 0.000016s : 106: predicate.updatestate_useless_node_eliminater 0.42% : 0.000002s : 13: predicate.value_based_eliminate 0.81% : 0.000004s : 26: predicate.virtual_dataset_eliminate 0.85% : 0.000004s : 26: predicate.virtual_output_eliminate 0.38% : 0.000002s : 13: predicate.virtual_view_grad_eliminate 0.48% : 0.000002s : 13: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.012556 56 75.97% : 0.009539s : 53: func_graph_cloner_run.FuncGraphClonerGraph 24.03% : 0.003017s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.657866 192 0.00% : 0.000003s : 1: ForceFp32Comm 0.43% : 0.007134s : 1: add_attr 0.43% : 0.007116s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.01% : 0.000134s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.03% : 0.000501s : 1: auto_monad 0.00% : 0.000054s : 1: auto_monad_reorder 0.00% : 0.000003s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.05% : 0.000809s : 1: bootstrap 0.00% : 0.000047s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.00% : 0.000032s : 1: control_data_broadcast_order 0.00% : 0.000028s : 1: convert_after_rewriter 0.00% : 0.000063s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.00% : 0.000023s : 1: environ_conv 0.00% : 0.000030s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 0.00% : 0.000004s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000006s : 1: inline 0.00% : 0.000007s : 1: insert-virtual-dataset 0.00% : 0.000005s : 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% : 0.000009s : 1: label_micro_interleaved_index 0.04% : 0.000610s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000005s : 1: micro_interleaved_order_control 0.05% : 0.000876s : 1: mutable_eliminate 0.00% : 0.000010s : 1: offloading_packed_experts 0.00% : 0.000032s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000037s : 1: opt.transform.mutable_eliminate 0.16% : 0.002625s : 78: opt.transform.opt_a 0.01% : 0.000103s : 1: opt.transform.opt_after_cconv 0.00% : 0.000061s : 1: opt.transform.opt_after_jit_grad 0.02% : 0.000361s : 28: opt.transform.opt_b 0.01% : 0.000186s : 2: opt.transform.opt_trans_graph 0.01% : 0.000101s : 4: opt.transform.symbol_engine_opt 5.98% : 0.099195s : 1: opt_a 0.02% : 0.000249s : 1: opt_after_cconv 0.04% : 0.000636s : 1: opt_after_jit_grad 0.03% : 0.000579s : 1: opt_b 6.30% : 0.104389s : 1: optimize 0.00% : 0.000039s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000016s : 1: order_py_execute_after_rewriter 0.00% : 0.000043s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000012s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000004s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000007s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000010s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000005s : 1: overlap_recompute_comm 0.00% : 0.000009s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000006s : 1: pipeline_split 0.00% : 0.000044s : 1: pre_auto_parallel 0.00% : 0.000037s : 1: py_interpret_to_execute 0.00% : 0.000038s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000082s : 1: remove_dup_value 1.11% : 0.018360s : 1: renormalize.infer 0.21% : 0.003473s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.09% : 0.001543s : 1: rewriter_after_opt_a 0.01% : 0.000085s : 1: rewriter_before_opt_a 0.00% : 0.000007s : 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% : 0.000017s : 1: swap_dp_allreduce_reducescatter 0.01% : 0.000172s : 1: symbol_engine_optimizer 0.01% : 0.000228s : 1: tuple_transform 84.89% : 1.407430s : 1: type_inference . [hook] pytest_runtest_teardown:test_matmul_ffn_bf16_1[False-mstype0-k_n_shape2-1024] tests/st/infer/ops/test_internal_ops/test_matmul_split.py::test_matmul_ffn_bf16_1[False-mstype0-k_n_shape2-1024],max_mem:438.0M =============================== 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_matmul_split.py::test_matmul_ffn_bf16_1[False-mstype0-k_n_shape1-256] /home/jenkins/mindspore/testcases/testcases/tests/st/infer/ops/test_internal_ops/test_matmul_split.py:84: RuntimeWarning: divide by zero encountered in divide err_cnt = np.sum(np.abs(out_flatten - expect_flatten) / -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 6 passed, 26 warnings in 453.93s (0:07:33) ==================