[WARNING] ME(160221:281473553547056,MainProcess):2026-01-29-17:37:08.777.637 [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. [WARNING] ME(160221:281473553547056,MainProcess):2026-01-29-17:37:08.778.777 [mindspore/context.py:1334] For 'context.set_context', the parameter 'pynative_synchronize' will be deprecated and removed in a future version. Please use the api mindspore.runtime.launch_blocking() instead. ==================================================Ascend ============================= test session starts ============================== platform linux -- Python 3.9.19, pytest-6.2.5, py-1.11.0, pluggy-1.5.0 rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st/infer/ops/test_internal_ops, configfile: ../../../../../../../../sault/virtual_test/virtualenv_008/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 8 items test_group_topk.py TotalTime = 0.138625, [21] [bootstrap]: 0.00069467 [type_inference]: 0.105347 [event_method]: 1.624e-05 [auto_monad]: 0.00015374 [graph_reusing]: 5.50001e-06 [inline]: 2.66e-06 [add_attr]: 0.0164567, [1] [add_attr_with_inline]: 0.0164418, [1] [Cycle 1]: 9.919e-05, [2] [tag_attr]: 1.975e-05 [meta_addattr_fg_expand]: 4.52e-06 [parallel-infer-symbol]: 4.12e-06 [pre_auto_parallel]: 4.633e-05 [insert-virtual-dataset]: 2.70002e-06 [parallel-infer-symbol-second]: 9.89996e-07 [dataset_repeat_opt]: 2.17001e-06 [pipeline_split]: 1.77999e-06 [optimize]: 0.0150095, [53] [py_interpret_to_execute]: 2.647e-05 [rewriter_before_opt_a]: 8.026e-05 [opt_a]: 0.00762187, [2] [Cycle 1]: 0.00670142, [45] [expand_dump_flag]: 2.64999e-06 [switch_simplify]: 2.974e-05 [loop_unroll]: 1.421e-05 [a_1]: 0.00038523 [with_stream_mark]: 2.176e-05 [recompute_prepare]: 1.165e-05 [updatestate_depend_eliminate]: 6.39001e-06 [updatestate_assign_eliminate]: 7.55e-06 [updatestate_loads_eliminate]: 5.22e-06 [parameter_eliminate]: 2.02001e-06 [a_2]: 0.00013258 [accelerated_algorithm]: 9.69999e-06 [shard]: 2.29999e-06 [meta_shard_fg_expand]: 2.13002e-06 [shard_inline]: 8.72e-06 [merge_send_recv]: 2.137e-05 [auto_parallel]: 9.75002e-06 [parallel]: 0.00418321 [flash_sp]: 4.146e-05 [merge_comm]: 2.153e-05 [allreduce_fusion]: 6.01e-06 [matmul_add_comm_reduction]: 1.523e-05 [allreduce_slice_to_reducescatter]: 8.99978e-07 [virtual_shard_identity]: 3.819e-05 [virtual_dataset]: 1.133e-05 [get_grad_eliminate_]: 9.52001e-06 [virtual_output]: 9.82001e-06 [merge_forward]: 6.94999e-06 [cell_reuse_recompute_pass]: 3.35003e-06 [offload_activation]: 1.426e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.45e-05 [merge_recompute_call_nodes]: 1.62001e-06 [before_grad]: 1.684e-05 [set_forward_comm_id_for_comm_node_pass]: 6.71e-06 [meta_fg_expand]: 8.62998e-06 [flash_sp_send_recv_attached]: 3.63e-06 [receive_attached]: 2.89001e-06 [after_resolve]: 1.663e-05 [a_after_grad]: 1.494e-05 [renormalize]: 0.00106013 [add_forward_monad_depend]: 9.08002e-06 [auto_monad_grad]: 2.32999e-06 [auto_monad_eliminator]: 2.451e-05 [cse]: 5.555e-05 [a_3]: 7.677e-05 [Cycle 2]: 0.00090675, [45] [expand_dump_flag]: 2.80002e-06 [switch_simplify]: 1.14e-05 [loop_unroll]: 9.22999e-06 [a_1]: 0.00020438 [with_stream_mark]: 1.976e-05 [recompute_prepare]: 9.02999e-06 [updatestate_depend_eliminate]: 5.97999e-06 [updatestate_assign_eliminate]: 5.25001e-06 [updatestate_loads_eliminate]: 5.24998e-06 [parameter_eliminate]: 1.80001e-06 [a_2]: 0.00012361 [accelerated_algorithm]: 1.032e-05 [shard]: 2.32999e-06 [meta_shard_fg_expand]: 2.37999e-06 [shard_inline]: 9.08002e-06 [merge_send_recv]: 9.59999e-06 [auto_parallel]: 1.122e-05 [parallel]: 7.93001e-06 [flash_sp]: 4.18999e-06 [merge_comm]: 6.21998e-06 [allreduce_fusion]: 5.00001e-06 [matmul_add_comm_reduction]: 1.073e-05 [allreduce_slice_to_reducescatter]: 8.39995e-07 [virtual_shard_identity]: 9.86e-06 [virtual_dataset]: 8.89e-06 [get_grad_eliminate_]: 8.27e-06 [virtual_output]: 8.27e-06 [merge_forward]: 6.21e-06 [cell_reuse_recompute_pass]: 2.13002e-06 [offload_activation]: 1.177e-05 [cell_reuse_handle_not_recompute_node_pass]: 1.773e-05 [merge_recompute_call_nodes]: 1.34e-06 [before_grad]: 1.345e-05 [set_forward_comm_id_for_comm_node_pass]: 5.81e-06 [meta_fg_expand]: 2.83e-06 [flash_sp_send_recv_attached]: 1.59998e-06 [receive_attached]: 2.21e-06 [after_resolve]: 1.398e-05 [a_after_grad]: 1.326e-05 [renormalize]: 7.99773e-08 [add_forward_monad_depend]: 1.76e-06 [auto_monad_grad]: 2.18002e-06 [auto_monad_eliminator]: 1.464e-05 [cse]: 2.535e-05 [a_3]: 5.577e-05 [py_interpret_to_execute_after_opt_a]: 1.834e-05 [slice_cell_reuse_recomputed_activation]: 2.72001e-06 [rewriter_after_opt_a]: 0.00019695 [convert_after_rewriter]: 1.12e-05 [order_py_execute_after_rewriter]: 7.26999e-06 [mutable_eliminate]: 0.00071305 [opt_b]: 0.00458533, [1] [Cycle 1]: 0.00457391, [7] [b_1]: 0.00020848 [b_2]: 0.00418689 [updatestate_depend_eliminate]: 2.193e-05 [updatestate_assign_eliminate]: 6.00002e-06 [updatestate_loads_eliminate]: 5.69999e-06 [renormalize]: 1.66e-06 [cse]: 5.903e-05 [optimize_parallel_all_gather_comm]: 3.278e-05 [overlap_param_gather]: 1.83002e-06 [cconv]: 4.23e-05 [loop_unroll]: 0.00075608 [opt_after_cconv]: 0.00017127, [1] [Cycle 1]: 0.00016226, [7] [c_1]: 6.776e-05 [parameter_eliminate]: 5.84999e-06 [updatestate_depend_eliminate]: 9.64999e-06 [updatestate_assign_eliminate]: 5.28002e-06 [updatestate_loads_eliminate]: 4.38001e-06 [cse]: 3.221e-05 [renormalize]: 5.39992e-07 [remove_dup_value]: 1.778e-05 [tuple_transform]: 9.329e-05, [1] [Cycle 1]: 8.857e-05, [4] [d_1]: 5.979e-05 [none_parameter_eliminate]: 1.52001e-06 [renormalize]: 1.39989e-07 [switch_simplify]: 9.69e-06 [partial_unused_args_eliminate]: 1.99e-06 [add_recomputation]: 8.511e-05 [cse_after_recomputation]: 2.884e-05, [1] [Cycle 1]: 2.4e-05, [1] [cse]: 1.83e-05 [environ_conv]: 2.083e-05 [swap_dp_allreduce_reducescatter]: 7.97e-06 [bias_add_comm_swap]: 3.42002e-06 [label_micro_interleaved_index]: 6.02001e-06 [label_fine_grained_interleaved_index]: 2.48e-06 [merge_cast_opt]: 1.25999e-06 [slice_recompute_activation]: 2.20002e-06 [micro_interleaved_order_control]: 2.64001e-06 [assign_add_opt]: 1.17e-06 [ForceFp32Comm]: 1.28002e-06 [remove_cast_before_assign_add]: 1.05001e-06 [full_micro_interleaved_order_control]: 2.24999e-06 [reorder_send_recv_between_fp_bp]: 2.86e-06 [comm_op_add_attrs]: 1.00001e-06 [add_comm_op_reuse_tag]: 9.70002e-07 [interleave_split_concat_branches]: 1.15999e-06 [interleave_parallel_branches]: 1.37e-06 [overlap_opt_shard_in_pipeline]: 2.308e-05 [overlap_opt_shard_grad_in_pipeline]: 1.69998e-06 [control_data_broadcast_order]: 1.931e-05 [grouped_pairwise_exchange_alltoall]: 1.45999e-06 [offloading_packed_experts]: 5.46998e-06 [overlap_recompute_and_grad_model_parallel]: 6.39999e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.23002e-06 [overlap_recompute_allgather_and_fa_grad]: 1.33002e-06 [overlap_recompute_comm]: 2.66e-06 [overlap_grad_ring_attention]: 6.16e-06 [overlap_grad_flash_sp]: 3.101e-05 [begin_end_overlap_inline]: 5.99975e-07 [split_matmul_comm_elemetwise]: 2.26e-06 [split_layernorm_comm]: 1.69e-06 [handle_group_info]: 1.07e-06 [symbol_engine_optimizer]: 9.716e-05, [1] [Cycle 1]: 9.219e-05, [6] [build]: 5.97999e-06 [elim_shapecalc]: 1.516e-05 [elim_not_effective]: 1.72e-05 [opt_reshape]: 9.99999e-06 [fold_const_symbol]: 1.418e-05 [renormalize]: 1.80007e-07 [detach_backward]: 2.39999e-06 [pipeline_parallel_scheduler]: 1.49e-06 [auto_monad_reorder]: 3.853e-05 [get_jit_bprop_graph]: 2.19001e-06 [rewriter_after_jit_bprop_graph]: 5.40999e-06 [opt_after_jit_grad]: 0.00057845 [validate]: 7.431e-05 Sums bootstrap : 0.000695s : 0.57% type_inference : 0.105347s : 87.05% event_method : 0.000016s : 0.01% auto_monad : 0.000154s : 0.13% graph_reusing : 0.000006s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000020s : 0.02% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000005s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000046s : 0.04% 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 : 0.000026s : 0.02% optimize.rewriter_before_opt_a : 0.000080s : 0.07% optimize.opt_a.expand_dump_flag : 0.000005s : 0.00% optimize.opt_a.switch_simplify : 0.000041s : 0.03% optimize.opt_a.loop_unroll : 0.000023s : 0.02% optimize.opt_a.a_1 : 0.000590s : 0.49% optimize.opt_a.with_stream_mark : 0.000042s : 0.03% optimize.opt_a.recompute_prepare : 0.000021s : 0.02% optimize.opt_a.updatestate_depend_eliminate : 0.000012s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000013s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000010s : 0.01% optimize.opt_a.parameter_eliminate : 0.000004s : 0.00% optimize.opt_a.a_2 : 0.000256s : 0.21% optimize.opt_a.accelerated_algorithm : 0.000020s : 0.02% optimize.opt_a.shard : 0.000005s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000005s : 0.00% optimize.opt_a.shard_inline : 0.000018s : 0.01% optimize.opt_a.merge_send_recv : 0.000031s : 0.03% optimize.opt_a.auto_parallel : 0.000021s : 0.02% optimize.opt_a.parallel : 0.004191s : 3.46% optimize.opt_a.flash_sp : 0.000046s : 0.04% optimize.opt_a.merge_comm : 0.000028s : 0.02% optimize.opt_a.allreduce_fusion : 0.000011s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000026s : 0.02% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000048s : 0.04% optimize.opt_a.virtual_dataset : 0.000020s : 0.02% optimize.opt_a.get_grad_eliminate_ : 0.000018s : 0.01% optimize.opt_a.virtual_output : 0.000018s : 0.01% optimize.opt_a.merge_forward : 0.000013s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% optimize.opt_a.offload_activation : 0.000026s : 0.02% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000062s : 0.05% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000030s : 0.03% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000013s : 0.01% optimize.opt_a.meta_fg_expand : 0.000011s : 0.01% optimize.opt_a.flash_sp_send_recv_attached : 0.000005s : 0.00% optimize.opt_a.receive_attached : 0.000005s : 0.00% optimize.opt_a.after_resolve : 0.000031s : 0.03% optimize.opt_a.a_after_grad : 0.000028s : 0.02% optimize.opt_a.renormalize : 0.001060s : 0.88% optimize.opt_a.add_forward_monad_depend : 0.000011s : 0.01% optimize.opt_a.auto_monad_grad : 0.000005s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000039s : 0.03% optimize.opt_a.cse : 0.000081s : 0.07% optimize.opt_a.a_3 : 0.000133s : 0.11% optimize.py_interpret_to_execute_after_opt_a : 0.000018s : 0.02% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000197s : 0.16% optimize.convert_after_rewriter : 0.000011s : 0.01% optimize.order_py_execute_after_rewriter : 0.000007s : 0.01% optimize.mutable_eliminate : 0.000713s : 0.59% optimize.opt_b.b_1 : 0.000208s : 0.17% optimize.opt_b.b_2 : 0.004187s : 3.46% optimize.opt_b.updatestate_depend_eliminate : 0.000022s : 0.02% optimize.opt_b.updatestate_assign_eliminate : 0.000006s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000006s : 0.00% optimize.opt_b.renormalize : 0.000002s : 0.00% optimize.opt_b.cse : 0.000059s : 0.05% optimize.optimize_parallel_all_gather_comm : 0.000033s : 0.03% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000042s : 0.03% optimize.loop_unroll : 0.000756s : 0.62% optimize.opt_after_cconv.c_1 : 0.000068s : 0.06% optimize.opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000010s : 0.01% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.00% optimize.opt_after_cconv.cse : 0.000032s : 0.03% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000018s : 0.01% optimize.tuple_transform.d_1 : 0.000060s : 0.05% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000010s : 0.01% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000085s : 0.07% optimize.cse_after_recomputation.cse : 0.000018s : 0.02% optimize.environ_conv : 0.000021s : 0.02% optimize.swap_dp_allreduce_reducescatter : 0.000008s : 0.01% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000006s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000002s : 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 : 0.000001s : 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 : 0.000023s : 0.02% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000019s : 0.02% optimize.grouped_pairwise_exchange_alltoall : 0.000001s : 0.00% optimize.offloading_packed_experts : 0.000005s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000006s : 0.01% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000003s : 0.00% optimize.overlap_grad_ring_attention : 0.000006s : 0.01% optimize.overlap_grad_flash_sp : 0.000031s : 0.03% 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 : 0.000006s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000015s : 0.01% optimize.symbol_engine_optimizer.elim_not_effective : 0.000017s : 0.01% optimize.symbol_engine_optimizer.opt_reshape : 0.000010s : 0.01% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000014s : 0.01% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000002s : 0.00% pipeline_parallel_scheduler : 0.000001s : 0.00% auto_monad_reorder : 0.000039s : 0.03% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000578s : 0.48% validate : 0.000074s : 0.06% Time group info: ------[substitution.] 0.000195 51 4.48% : 0.000009s : 2: substitution.depend_value_elim 1.25% : 0.000002s : 4: substitution.elim_not_effective 1.07% : 0.000002s : 4: substitution.fold_const_symbol 3.58% : 0.000007s : 6: substitution.graph_param_transform 55.37% : 0.000108s : 1: substitution.inline 2.89% : 0.000006s : 8: substitution.j_node_and_user_rematch 9.91% : 0.000019s : 8: substitution.remove_not_recompute_node 3.35% : 0.000007s : 4: substitution.replace_old_param 10.01% : 0.000019s : 6: substitution.updatestate_pure_node_eliminater 8.09% : 0.000016s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.105274 2 99.17% : 0.104405s : 1: type_inference.infer 0.83% : 0.000869s : 1: type_inference.specialize ------[replace.] 0.000021 1 100.00% : 0.000021s : 1: replace.inline ------[match.] 0.000107 1 100.00% : 0.000107s : 1: match.inline ------[predicate.] 0.000233 1421 0.75% : 0.000002s : 13: predicate.accumulaten_eliminater 0.92% : 0.000002s : 6: predicate.ad_related_special_op_eliminate 0.66% : 0.000002s : 12: predicate.addn_check_dump 0.83% : 0.000002s : 13: predicate.addn_zero_filter 0.73% : 0.000002s : 13: predicate.adjust_all_reduce_mul_add 1.86% : 0.000004s : 25: predicate.arithmetic_simplify 0.76% : 0.000002s : 13: predicate.cast_eliminate 0.89% : 0.000002s : 12: predicate.check_bprop_eliminate 0.63% : 0.000001s : 12: predicate.compare_switch_simplify 0.21% : 0.000000s : 6: predicate.const_output_eliminate 0.73% : 0.000002s : 12: predicate.depend_value_elim 0.75% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 0.83% : 0.000002s : 13: predicate.dict_get_item_eliminator 0.80% : 0.000002s : 13: predicate.dict_set_item_eliminator 1.58% : 0.000004s : 12: predicate.dumpgradient_eliminate 0.27% : 0.000001s : 6: predicate.elim_not_effective 0.51% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.12% : 0.000003s : 19: predicate.environ_add_const_eliminate 0.96% : 0.000002s : 19: predicate.environ_get_add_eliminate 0.96% : 0.000002s : 19: predicate.environ_get_depend_swap 1.90% : 0.000004s : 31: predicate.environ_get_eliminate 1.05% : 0.000002s : 19: predicate.environ_get_set_eliminate 0.77% : 0.000002s : 14: predicate.exchange_switch_depend_value 1.60% : 0.000004s : 14: predicate.float_depend_g_call 0.63% : 0.000001s : 12: predicate.float_environ_get_switch 0.96% : 0.000002s : 18: predicate.float_tuple_getitem_switch 0.21% : 0.000000s : 6: predicate.fold_const_symbol 0.84% : 0.000002s : 12: predicate.get_grad_eliminate 0.30% : 0.000001s : 6: predicate.graph_param_transform 0.69% : 0.000002s : 12: predicate.incorporate_call 0.61% : 0.000001s : 12: predicate.incorporate_call_switch 5.65% : 0.000013s : 63: predicate.inline 1.23% : 0.000003s : 12: predicate.inline_without_move 0.38% : 0.000001s : 12: predicate.j_node_and_user_rematch 0.95% : 0.000002s : 12: predicate.less_batch_normalization 1.64% : 0.000004s : 25: predicate.list_to_tuple_eliminator_ 2.03% : 0.000005s : 38: predicate.load_eliminater 1.22% : 0.000003s : 6: predicate.loop_unroll_after_grad 1.08% : 0.000003s : 18: predicate.loop_unroll_before_grad 1.95% : 0.000005s : 25: predicate.make_slice_get_slice_eliminator 0.70% : 0.000002s : 12: predicate.merge_addn 0.74% : 0.000002s : 12: predicate.micro_step_allgather_replace 0.85% : 0.000002s : 12: predicate.mini_step_allgather_replace 0.68% : 0.000002s : 13: predicate.minmaximum_grad 1.41% : 0.000003s : 6: predicate.mutable_eliminate 0.43% : 0.000001s : 6: predicate.opt_reshape 0.39% : 0.000001s : 6: predicate.parallel_virtual_node 1.27% : 0.000003s : 14: predicate.partial_defer_inline 1.19% : 0.000003s : 19: predicate.partial_eliminate 0.78% : 0.000002s : 13: predicate.print_const_string_wrapper 0.70% : 0.000002s : 12: predicate.reduce_all_const_elim 1.00% : 0.000002s : 13: predicate.reduce_eliminate 2.14% : 0.000005s : 38: predicate.redundant_stop_gradient_eliminater 0.79% : 0.000002s : 12: predicate.remove_not_recompute_node 1.11% : 0.000003s : 25: predicate.replace_applicator 0.75% : 0.000002s : 12: predicate.replace_old_param 0.37% : 0.000001s : 6: predicate.reset_defer_inline 0.82% : 0.000002s : 13: predicate.reshape_eliminate 0.69% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 3.10% : 0.000007s : 6: predicate.row_tensor_eliminate 1.06% : 0.000002s : 12: predicate.same_eliminate 0.47% : 0.000001s : 12: predicate.set_cell_output_no_recompute 1.70% : 0.000004s : 12: predicate.shard_identity_eliminate 0.99% : 0.000002s : 12: predicate.special_op_eliminate 0.89% : 0.000002s : 12: predicate.specialize_transform 1.34% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 1.07% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.52% : 0.000001s : 6: predicate.switch_call_monad_eliminater 0.84% : 0.000002s : 14: predicate.switch_defer_inline 1.52% : 0.000004s : 26: predicate.switch_layer_defer_inline 3.38% : 0.000008s : 50: predicate.switch_simplify 0.95% : 0.000002s : 13: predicate.tile_eliminate 0.82% : 0.000002s : 13: predicate.transpose_eliminate 1.57% : 0.000004s : 25: predicate.tuple_list_convert_item_index_to_positive 1.68% : 0.000004s : 25: predicate.tuple_list_get_item_const_eliminator 1.49% : 0.000003s : 25: predicate.tuple_list_get_item_depend_reorder 3.28% : 0.000008s : 37: predicate.tuple_list_get_item_eliminator 1.45% : 0.000003s : 25: predicate.tuple_list_get_set_item_eliminator 2.49% : 0.000006s : 37: predicate.tuple_list_set_item_eliminator 1.74% : 0.000004s : 25: predicate.tuple_to_list_eliminator_ 2.14% : 0.000005s : 38: predicate.updatestate_pure_node_eliminater 3.34% : 0.000008s : 50: predicate.updatestate_useless_node_eliminater 0.42% : 0.000001s : 6: predicate.value_based_eliminate 0.93% : 0.000002s : 12: predicate.virtual_dataset_eliminate 0.75% : 0.000002s : 12: predicate.virtual_output_eliminate 0.33% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.48% : 0.000001s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000298 4 9.19% : 0.000027s : 1: func_graph_cloner_run.FuncGraphClonerGraph 90.81% : 0.000270s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.176851 192 0.00% : 0.000004s : 1: ForceFp32Comm 9.31% : 0.016464s : 1: add_attr 9.30% : 0.016447s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.05% : 0.000091s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.09% : 0.000161s : 1: auto_monad 0.02% : 0.000044s : 1: auto_monad_reorder 0.00% : 0.000003s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.41% : 0.000731s : 1: bootstrap 0.03% : 0.000046s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.01% : 0.000022s : 1: control_data_broadcast_order 0.01% : 0.000015s : 1: convert_after_rewriter 0.02% : 0.000032s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000005s : 1: detach_backward 0.01% : 0.000025s : 1: environ_conv 0.01% : 0.000023s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000010s : 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% : 0.000006s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000009s : 1: label_micro_interleaved_index 0.43% : 0.000767s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000005s : 1: micro_interleaved_order_control 0.41% : 0.000724s : 1: mutable_eliminate 0.01% : 0.000009s : 1: offloading_packed_experts 0.01% : 0.000024s : 1: opt.transform.loop_unroll_optimizer 0.01% : 0.000024s : 1: opt.transform.mutable_eliminate 0.71% : 0.001257s : 78: opt.transform.opt_a 0.04% : 0.000066s : 1: opt.transform.opt_after_cconv 0.02% : 0.000038s : 1: opt.transform.opt_after_jit_grad 2.47% : 0.004364s : 28: opt.transform.opt_b 0.04% : 0.000067s : 2: opt.transform.opt_trans_graph 0.03% : 0.000053s : 4: opt.transform.symbol_engine_opt 4.31% : 0.007626s : 1: opt_a 0.10% : 0.000175s : 1: opt_after_cconv 0.33% : 0.000589s : 1: opt_after_jit_grad 2.60% : 0.004590s : 1: opt_b 8.49% : 0.015015s : 1: optimize 0.02% : 0.000037s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000011s : 1: order_py_execute_after_rewriter 0.02% : 0.000035s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.01% : 0.000009s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.02% : 0.000027s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000005s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.01% : 0.000009s : 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% : 0.000005s : 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 0.03% : 0.000051s : 1: pre_auto_parallel 0.02% : 0.000031s : 1: py_interpret_to_execute 0.01% : 0.000023s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.01% : 0.000021s : 1: remove_dup_value 0.38% : 0.000669s : 1: renormalize.infer 0.21% : 0.000378s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.01% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.12% : 0.000205s : 1: rewriter_after_opt_a 0.05% : 0.000085s : 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% : 0.000004s : 1: split_layernorm_comm 0.00% : 0.000006s : 1: split_matmul_comm_elemetwise 0.01% : 0.000011s : 1: swap_dp_allreduce_reducescatter 0.06% : 0.000100s : 1: symbol_engine_optimizer 0.05% : 0.000096s : 1: tuple_transform 59.58% : 0.105368s : 1: type_inference . [hook] pytest_runtest_teardown:test_group_topk_float16[False-input_param0-float16] tests/st/infer/ops/test_internal_ops/test_group_topk.py::test_group_topk_float16[False-input_param0-float16],max_mem:100.0M TotalTime = 0.0425144, [21] [bootstrap]: 0.00066777 [type_inference]: 0.0294211 [event_method]: 1.509e-05 [auto_monad]: 0.00014683 [graph_reusing]: 5.29e-06 [inline]: 2.16e-06 [add_attr]: 0.00450964, [1] [add_attr_with_inline]: 0.00449623, [1] [Cycle 1]: 5.852e-05, [2] [tag_attr]: 1.605e-05 [meta_addattr_fg_expand]: 4.18999e-06 [parallel-infer-symbol]: 4.23001e-06 [pre_auto_parallel]: 3.165e-05 [insert-virtual-dataset]: 2.20002e-06 [parallel-infer-symbol-second]: 6.89994e-07 [dataset_repeat_opt]: 1.79e-06 [pipeline_split]: 1.56998e-06 [optimize]: 0.00659074, [53] [py_interpret_to_execute]: 3.993e-05 [rewriter_before_opt_a]: 5.743e-05 [opt_a]: 0.00357112, [2] [Cycle 1]: 0.00267227, [45] [expand_dump_flag]: 5.81e-06 [switch_simplify]: 2.65e-05 [loop_unroll]: 1.426e-05 [a_1]: 0.00057088 [with_stream_mark]: 1.758e-05 [recompute_prepare]: 1.207e-05 [updatestate_depend_eliminate]: 6.50002e-06 [updatestate_assign_eliminate]: 5.27001e-06 [updatestate_loads_eliminate]: 4.90999e-06 [parameter_eliminate]: 1.72999e-06 [a_2]: 0.00016164 [accelerated_algorithm]: 1.284e-05 [shard]: 2.12001e-06 [meta_shard_fg_expand]: 2.24001e-06 [shard_inline]: 1.273e-05 [merge_send_recv]: 9.61e-06 [auto_parallel]: 1.121e-05 [parallel]: 2.858e-05 [flash_sp]: 1.349e-05 [merge_comm]: 5.46e-06 [allreduce_fusion]: 5.01002e-06 [matmul_add_comm_reduction]: 1.368e-05 [allreduce_slice_to_reducescatter]: 6.39993e-07 [virtual_shard_identity]: 1.318e-05 [virtual_dataset]: 1.242e-05 [get_grad_eliminate_]: 1.564e-05 [virtual_output]: 1.456e-05 [merge_forward]: 5.55001e-06 [cell_reuse_recompute_pass]: 1.64998e-06 [offload_activation]: 1.207e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.303e-05 [merge_recompute_call_nodes]: 1.47001e-06 [before_grad]: 2.186e-05 [set_forward_comm_id_for_comm_node_pass]: 5.40999e-06 [meta_fg_expand]: 4.03999e-06 [flash_sp_send_recv_attached]: 2.54999e-06 [receive_attached]: 2.46e-06 [after_resolve]: 2.152e-05 [a_after_grad]: 2.243e-05 [renormalize]: 0.00114451 [add_forward_monad_depend]: 5.29998e-06 [auto_monad_grad]: 2.29999e-06 [auto_monad_eliminator]: 2.053e-05 [cse]: 4.007e-05 [a_3]: 6.907e-05 [Cycle 2]: 0.00088799, [45] [expand_dump_flag]: 1.49e-06 [switch_simplify]: 1.069e-05 [loop_unroll]: 8.82e-06 [a_1]: 0.00019721 [with_stream_mark]: 1.432e-05 [recompute_prepare]: 9.09e-06 [updatestate_depend_eliminate]: 5.67999e-06 [updatestate_assign_eliminate]: 4.33999e-06 [updatestate_loads_eliminate]: 4.22e-06 [parameter_eliminate]: 1.18001e-06 [a_2]: 0.0001454 [accelerated_algorithm]: 9.57999e-06 [shard]: 1.44998e-06 [meta_shard_fg_expand]: 1.97001e-06 [shard_inline]: 9.17001e-06 [merge_send_recv]: 6.80998e-06 [auto_parallel]: 7.62998e-06 [parallel]: 6.00002e-06 [flash_sp]: 3.26999e-06 [merge_comm]: 4.87e-06 [allreduce_fusion]: 4.70001e-06 [matmul_add_comm_reduction]: 7.94002e-06 [allreduce_slice_to_reducescatter]: 3.80009e-07 [virtual_shard_identity]: 9.32001e-06 [virtual_dataset]: 8.52e-06 [get_grad_eliminate_]: 8.14997e-06 [virtual_output]: 7.91001e-06 [merge_forward]: 4.48001e-06 [cell_reuse_recompute_pass]: 1.54e-06 [offload_activation]: 9.49e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.56e-05 [merge_recompute_call_nodes]: 9.70002e-07 [before_grad]: 1.359e-05 [set_forward_comm_id_for_comm_node_pass]: 5.93002e-06 [meta_fg_expand]: 2.98e-06 [flash_sp_send_recv_attached]: 1.16002e-06 [receive_attached]: 1.69998e-06 [after_resolve]: 1.307e-05 [a_after_grad]: 1.366e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 1.72001e-06 [auto_monad_grad]: 1.50999e-06 [auto_monad_eliminator]: 1.296e-05 [cse]: 2.417e-05 [a_3]: 6.458e-05 [py_interpret_to_execute_after_opt_a]: 1.446e-05 [slice_cell_reuse_recomputed_activation]: 2.04e-06 [rewriter_after_opt_a]: 0.00017209 [convert_after_rewriter]: 1.135e-05 [order_py_execute_after_rewriter]: 7.13e-06 [mutable_eliminate]: 0.00071321 [opt_b]: 0.00048679, [1] [Cycle 1]: 0.00047548, [7] [b_1]: 0.00033503 [b_2]: 1.51e-05 [updatestate_depend_eliminate]: 9.05999e-06 [updatestate_assign_eliminate]: 5.17e-06 [updatestate_loads_eliminate]: 8.72e-06 [renormalize]: 8.10018e-07 [cse]: 2.983e-05 [optimize_parallel_all_gather_comm]: 2.518e-05 [overlap_param_gather]: 4.28001e-06 [cconv]: 2.878e-05 [loop_unroll]: 0.00055349 [opt_after_cconv]: 0.00016114, [1] [Cycle 1]: 0.00015434, [7] [c_1]: 6.521e-05 [parameter_eliminate]: 2.98e-06 [updatestate_depend_eliminate]: 8.62998e-06 [updatestate_assign_eliminate]: 4.81002e-06 [updatestate_loads_eliminate]: 4.43999e-06 [cse]: 2.625e-05 [renormalize]: 3.9002e-07 [remove_dup_value]: 1.731e-05 [tuple_transform]: 0.00011391, [1] [Cycle 1]: 0.00010855, [4] [d_1]: 7.342e-05 [none_parameter_eliminate]: 1.89e-06 [renormalize]: 1.69995e-07 [switch_simplify]: 1.066e-05 [partial_unused_args_eliminate]: 2.26e-06 [add_recomputation]: 7.242e-05 [cse_after_recomputation]: 3.22e-05, [1] [Cycle 1]: 2.716e-05, [1] [cse]: 2.016e-05 [environ_conv]: 1.159e-05 [swap_dp_allreduce_reducescatter]: 8.08999e-06 [bias_add_comm_swap]: 2.88e-06 [label_micro_interleaved_index]: 5.35999e-06 [label_fine_grained_interleaved_index]: 2.96001e-06 [merge_cast_opt]: 1.62999e-06 [slice_recompute_activation]: 2.49999e-06 [micro_interleaved_order_control]: 2.51998e-06 [assign_add_opt]: 1.50001e-06 [ForceFp32Comm]: 8.50006e-07 [remove_cast_before_assign_add]: 1.10999e-06 [full_micro_interleaved_order_control]: 2.44999e-06 [reorder_send_recv_between_fp_bp]: 3.42002e-06 [comm_op_add_attrs]: 1.05999e-06 [add_comm_op_reuse_tag]: 1.00001e-06 [interleave_split_concat_branches]: 1.35999e-06 [interleave_parallel_branches]: 1.34998e-06 [overlap_opt_shard_in_pipeline]: 3.41001e-06 [overlap_opt_shard_grad_in_pipeline]: 2.34001e-06 [control_data_broadcast_order]: 1.977e-05 [grouped_pairwise_exchange_alltoall]: 1.91e-06 [offloading_packed_experts]: 6.12001e-06 [overlap_recompute_and_grad_model_parallel]: 6.76e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.59e-06 [overlap_recompute_allgather_and_fa_grad]: 1.74e-06 [overlap_recompute_comm]: 2.78e-06 [overlap_grad_ring_attention]: 5.92001e-06 [overlap_grad_flash_sp]: 2.745e-05 [begin_end_overlap_inline]: 5.00004e-07 [split_matmul_comm_elemetwise]: 2.31e-06 [split_layernorm_comm]: 1.82001e-06 [handle_group_info]: 1.04998e-06 [symbol_engine_optimizer]: 0.0001062, [1] [Cycle 1]: 0.00010116, [6] [build]: 4.79e-06 [elim_shapecalc]: 1.503e-05 [elim_not_effective]: 1.958e-05 [opt_reshape]: 1.095e-05 [fold_const_symbol]: 1.658e-05 [renormalize]: 1.69995e-07 [detach_backward]: 2.16e-06 [pipeline_parallel_scheduler]: 1.39e-06 [auto_monad_reorder]: 7.891e-05 [get_jit_bprop_graph]: 1.91e-06 [rewriter_after_jit_bprop_graph]: 5.23002e-06 [opt_after_jit_grad]: 0.00079168 [validate]: 6.083e-05 Sums bootstrap : 0.000668s : 1.81% type_inference : 0.029421s : 79.72% event_method : 0.000015s : 0.04% auto_monad : 0.000147s : 0.40% graph_reusing : 0.000005s : 0.01% inline : 0.000002s : 0.01% add_attr.add_attr_with_inline.tag_attr : 0.000016s : 0.04% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000004s : 0.01% parallel-infer-symbol : 0.000004s : 0.01% pre_auto_parallel : 0.000032s : 0.09% insert-virtual-dataset : 0.000002s : 0.01% 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 : 0.000040s : 0.11% optimize.rewriter_before_opt_a : 0.000057s : 0.16% optimize.opt_a.expand_dump_flag : 0.000007s : 0.02% optimize.opt_a.switch_simplify : 0.000037s : 0.10% optimize.opt_a.loop_unroll : 0.000023s : 0.06% optimize.opt_a.a_1 : 0.000768s : 2.08% optimize.opt_a.with_stream_mark : 0.000032s : 0.09% optimize.opt_a.recompute_prepare : 0.000021s : 0.06% optimize.opt_a.updatestate_depend_eliminate : 0.000012s : 0.03% optimize.opt_a.updatestate_assign_eliminate : 0.000010s : 0.03% optimize.opt_a.updatestate_loads_eliminate : 0.000009s : 0.02% optimize.opt_a.parameter_eliminate : 0.000003s : 0.01% optimize.opt_a.a_2 : 0.000307s : 0.83% optimize.opt_a.accelerated_algorithm : 0.000022s : 0.06% optimize.opt_a.shard : 0.000004s : 0.01% optimize.opt_a.meta_shard_fg_expand : 0.000004s : 0.01% optimize.opt_a.shard_inline : 0.000022s : 0.06% optimize.opt_a.merge_send_recv : 0.000016s : 0.04% optimize.opt_a.auto_parallel : 0.000019s : 0.05% optimize.opt_a.parallel : 0.000035s : 0.09% optimize.opt_a.flash_sp : 0.000017s : 0.05% optimize.opt_a.merge_comm : 0.000010s : 0.03% optimize.opt_a.allreduce_fusion : 0.000010s : 0.03% optimize.opt_a.matmul_add_comm_reduction : 0.000022s : 0.06% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000001s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000022s : 0.06% optimize.opt_a.virtual_dataset : 0.000021s : 0.06% optimize.opt_a.get_grad_eliminate_ : 0.000024s : 0.06% optimize.opt_a.virtual_output : 0.000022s : 0.06% optimize.opt_a.merge_forward : 0.000010s : 0.03% optimize.opt_a.cell_reuse_recompute_pass : 0.000003s : 0.01% optimize.opt_a.offload_activation : 0.000022s : 0.06% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000039s : 0.10% optimize.opt_a.merge_recompute_call_nodes : 0.000002s : 0.01% optimize.opt_a.before_grad : 0.000035s : 0.10% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000011s : 0.03% optimize.opt_a.meta_fg_expand : 0.000007s : 0.02% optimize.opt_a.flash_sp_send_recv_attached : 0.000004s : 0.01% optimize.opt_a.receive_attached : 0.000004s : 0.01% optimize.opt_a.after_resolve : 0.000035s : 0.09% optimize.opt_a.a_after_grad : 0.000036s : 0.10% optimize.opt_a.renormalize : 0.001145s : 3.10% optimize.opt_a.add_forward_monad_depend : 0.000007s : 0.02% optimize.opt_a.auto_monad_grad : 0.000004s : 0.01% optimize.opt_a.auto_monad_eliminator : 0.000033s : 0.09% optimize.opt_a.cse : 0.000064s : 0.17% optimize.opt_a.a_3 : 0.000134s : 0.36% optimize.py_interpret_to_execute_after_opt_a : 0.000014s : 0.04% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.01% optimize.rewriter_after_opt_a : 0.000172s : 0.47% optimize.convert_after_rewriter : 0.000011s : 0.03% optimize.order_py_execute_after_rewriter : 0.000007s : 0.02% optimize.mutable_eliminate : 0.000713s : 1.93% optimize.opt_b.b_1 : 0.000335s : 0.91% optimize.opt_b.b_2 : 0.000015s : 0.04% optimize.opt_b.updatestate_depend_eliminate : 0.000009s : 0.02% optimize.opt_b.updatestate_assign_eliminate : 0.000005s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000009s : 0.02% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000030s : 0.08% optimize.optimize_parallel_all_gather_comm : 0.000025s : 0.07% optimize.overlap_param_gather : 0.000004s : 0.01% optimize.cconv : 0.000029s : 0.08% optimize.loop_unroll : 0.000553s : 1.50% optimize.opt_after_cconv.c_1 : 0.000065s : 0.18% optimize.opt_after_cconv.parameter_eliminate : 0.000003s : 0.01% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.02% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.01% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.01% optimize.opt_after_cconv.cse : 0.000026s : 0.07% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000017s : 0.05% optimize.tuple_transform.d_1 : 0.000073s : 0.20% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.01% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000011s : 0.03% optimize.partial_unused_args_eliminate : 0.000002s : 0.01% optimize.add_recomputation : 0.000072s : 0.20% optimize.cse_after_recomputation.cse : 0.000020s : 0.05% optimize.environ_conv : 0.000012s : 0.03% optimize.swap_dp_allreduce_reducescatter : 0.000008s : 0.02% optimize.bias_add_comm_swap : 0.000003s : 0.01% optimize.label_micro_interleaved_index : 0.000005s : 0.01% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.01% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.01% optimize.micro_interleaved_order_control : 0.000003s : 0.01% 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 : 0.01% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.01% optimize.comm_op_add_attrs : 0.000001s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000001s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000003s : 0.01% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.01% optimize.control_data_broadcast_order : 0.000020s : 0.05% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.01% optimize.offloading_packed_experts : 0.000006s : 0.02% optimize.overlap_recompute_and_grad_model_parallel : 0.000007s : 0.02% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000002s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000002s : 0.00% optimize.overlap_recompute_comm : 0.000003s : 0.01% optimize.overlap_grad_ring_attention : 0.000006s : 0.02% optimize.overlap_grad_flash_sp : 0.000027s : 0.07% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.01% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000005s : 0.01% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000015s : 0.04% optimize.symbol_engine_optimizer.elim_not_effective : 0.000020s : 0.05% optimize.symbol_engine_optimizer.opt_reshape : 0.000011s : 0.03% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000017s : 0.04% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000002s : 0.01% pipeline_parallel_scheduler : 0.000001s : 0.00% auto_monad_reorder : 0.000079s : 0.21% get_jit_bprop_graph : 0.000002s : 0.01% rewriter_after_jit_bprop_graph : 0.000005s : 0.01% opt_after_jit_grad : 0.000792s : 2.15% validate : 0.000061s : 0.16% Time group info: ------[substitution.] 0.000179 51 5.36% : 0.000010s : 2: substitution.depend_value_elim 1.34% : 0.000002s : 4: substitution.elim_not_effective 1.13% : 0.000002s : 4: substitution.fold_const_symbol 4.43% : 0.000008s : 6: substitution.graph_param_transform 60.65% : 0.000109s : 1: substitution.inline 2.90% : 0.000005s : 8: substitution.j_node_and_user_rematch 3.68% : 0.000007s : 8: substitution.remove_not_recompute_node 2.35% : 0.000004s : 4: substitution.replace_old_param 9.27% : 0.000017s : 6: substitution.updatestate_pure_node_eliminater 8.86% : 0.000016s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.029350 2 96.43% : 0.028304s : 1: type_inference.infer 3.57% : 0.001047s : 1: type_inference.specialize ------[replace.] 0.000017 1 100.00% : 0.000017s : 1: replace.inline ------[match.] 0.000108 1 100.00% : 0.000108s : 1: match.inline ------[predicate.] 0.000221 1421 0.82% : 0.000002s : 13: predicate.accumulaten_eliminater 1.33% : 0.000003s : 6: predicate.ad_related_special_op_eliminate 0.72% : 0.000002s : 12: predicate.addn_check_dump 0.91% : 0.000002s : 13: predicate.addn_zero_filter 0.72% : 0.000002s : 13: predicate.adjust_all_reduce_mul_add 2.08% : 0.000005s : 25: predicate.arithmetic_simplify 0.79% : 0.000002s : 13: predicate.cast_eliminate 0.79% : 0.000002s : 12: predicate.check_bprop_eliminate 0.69% : 0.000002s : 12: predicate.compare_switch_simplify 0.24% : 0.000001s : 6: predicate.const_output_eliminate 0.81% : 0.000002s : 12: predicate.depend_value_elim 0.78% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 0.85% : 0.000002s : 13: predicate.dict_get_item_eliminator 0.73% : 0.000002s : 13: predicate.dict_set_item_eliminator 1.49% : 0.000003s : 12: predicate.dumpgradient_eliminate 0.33% : 0.000001s : 6: predicate.elim_not_effective 0.55% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.16% : 0.000003s : 19: predicate.environ_add_const_eliminate 1.08% : 0.000002s : 19: predicate.environ_get_add_eliminate 1.08% : 0.000002s : 19: predicate.environ_get_depend_swap 1.90% : 0.000004s : 31: predicate.environ_get_eliminate 1.07% : 0.000002s : 19: predicate.environ_get_set_eliminate 0.77% : 0.000002s : 14: predicate.exchange_switch_depend_value 1.54% : 0.000003s : 14: predicate.float_depend_g_call 0.76% : 0.000002s : 12: predicate.float_environ_get_switch 1.05% : 0.000002s : 18: predicate.float_tuple_getitem_switch 0.25% : 0.000001s : 6: predicate.fold_const_symbol 0.75% : 0.000002s : 12: predicate.get_grad_eliminate 0.30% : 0.000001s : 6: predicate.graph_param_transform 0.75% : 0.000002s : 12: predicate.incorporate_call 0.63% : 0.000001s : 12: predicate.incorporate_call_switch 5.81% : 0.000013s : 63: predicate.inline 1.09% : 0.000002s : 12: predicate.inline_without_move 0.43% : 0.000001s : 12: predicate.j_node_and_user_rematch 1.01% : 0.000002s : 12: predicate.less_batch_normalization 1.72% : 0.000004s : 25: predicate.list_to_tuple_eliminator_ 2.30% : 0.000005s : 38: predicate.load_eliminater 1.35% : 0.000003s : 6: predicate.loop_unroll_after_grad 1.19% : 0.000003s : 18: predicate.loop_unroll_before_grad 1.88% : 0.000004s : 25: predicate.make_slice_get_slice_eliminator 0.77% : 0.000002s : 12: predicate.merge_addn 0.79% : 0.000002s : 12: predicate.micro_step_allgather_replace 0.76% : 0.000002s : 12: predicate.mini_step_allgather_replace 0.75% : 0.000002s : 13: predicate.minmaximum_grad 1.40% : 0.000003s : 6: predicate.mutable_eliminate 0.59% : 0.000001s : 6: predicate.opt_reshape 0.54% : 0.000001s : 6: predicate.parallel_virtual_node 1.03% : 0.000002s : 14: predicate.partial_defer_inline 1.35% : 0.000003s : 19: predicate.partial_eliminate 0.78% : 0.000002s : 13: predicate.print_const_string_wrapper 0.72% : 0.000002s : 12: predicate.reduce_all_const_elim 1.21% : 0.000003s : 13: predicate.reduce_eliminate 2.28% : 0.000005s : 38: predicate.redundant_stop_gradient_eliminater 0.57% : 0.000001s : 12: predicate.remove_not_recompute_node 1.17% : 0.000003s : 25: predicate.replace_applicator 0.65% : 0.000001s : 12: predicate.replace_old_param 0.39% : 0.000001s : 6: predicate.reset_defer_inline 0.85% : 0.000002s : 13: predicate.reshape_eliminate 0.91% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.59% : 0.000001s : 6: predicate.row_tensor_eliminate 1.10% : 0.000002s : 12: predicate.same_eliminate 0.51% : 0.000001s : 12: predicate.set_cell_output_no_recompute 0.87% : 0.000002s : 12: predicate.shard_identity_eliminate 1.16% : 0.000003s : 12: predicate.special_op_eliminate 0.92% : 0.000002s : 12: predicate.specialize_transform 0.97% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 0.98% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.52% : 0.000001s : 6: predicate.switch_call_monad_eliminater 0.87% : 0.000002s : 14: predicate.switch_defer_inline 1.63% : 0.000004s : 26: predicate.switch_layer_defer_inline 3.46% : 0.000008s : 50: predicate.switch_simplify 0.82% : 0.000002s : 13: predicate.tile_eliminate 0.77% : 0.000002s : 13: predicate.transpose_eliminate 1.65% : 0.000004s : 25: predicate.tuple_list_convert_item_index_to_positive 1.64% : 0.000004s : 25: predicate.tuple_list_get_item_const_eliminator 1.56% : 0.000003s : 25: predicate.tuple_list_get_item_depend_reorder 2.99% : 0.000007s : 37: predicate.tuple_list_get_item_eliminator 1.61% : 0.000004s : 25: predicate.tuple_list_get_set_item_eliminator 2.64% : 0.000006s : 37: predicate.tuple_list_set_item_eliminator 1.78% : 0.000004s : 25: predicate.tuple_to_list_eliminator_ 2.36% : 0.000005s : 38: predicate.updatestate_pure_node_eliminater 3.48% : 0.000008s : 50: predicate.updatestate_useless_node_eliminater 0.44% : 0.000001s : 6: predicate.value_based_eliminate 0.91% : 0.000002s : 12: predicate.virtual_dataset_eliminate 0.79% : 0.000002s : 12: predicate.virtual_output_eliminate 0.41% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.52% : 0.000001s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000392 4 4.82% : 0.000019s : 1: func_graph_cloner_run.FuncGraphClonerGraph 95.18% : 0.000373s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.056662 192 0.01% : 0.000004s : 1: ForceFp32Comm 7.97% : 0.004515s : 1: add_attr 7.94% : 0.004501s : 1: add_attr_with_inline 0.01% : 0.000004s : 1: add_comm_op_reuse_tag 0.14% : 0.000078s : 1: add_recomputation 0.01% : 0.000004s : 1: assign_add_opt 0.27% : 0.000153s : 1: auto_monad 0.15% : 0.000085s : 1: auto_monad_reorder 0.01% : 0.000004s : 1: begin_end_overlap_inline 0.01% : 0.000006s : 1: bias_add_comm_swap 1.24% : 0.000700s : 1: bootstrap 0.07% : 0.000038s : 1: cconv 0.01% : 0.000005s : 1: comm_op_add_attrs 0.04% : 0.000024s : 1: control_data_broadcast_order 0.03% : 0.000016s : 1: convert_after_rewriter 0.06% : 0.000036s : 1: cse_after_recomputation 0.02% : 0.000009s : 1: dataset_repeat_opt 0.01% : 0.000005s : 1: detach_backward 0.03% : 0.000015s : 1: environ_conv 0.04% : 0.000022s : 1: event_method 0.01% : 0.000006s : 1: full_micro_interleaved_order_control 0.01% : 0.000006s : 1: get_jit_bprop_graph 0.02% : 0.000009s : 1: graph_reusing 0.01% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.01% : 0.000004s : 1: handle_group_info 0.01% : 0.000005s : 1: inline 0.01% : 0.000005s : 1: insert-virtual-dataset 0.01% : 0.000004s : 1: interleave_parallel_branches 0.01% : 0.000004s : 1: interleave_split_concat_branches 0.01% : 0.000006s : 1: label_fine_grained_interleaved_index 0.02% : 0.000009s : 1: label_micro_interleaved_index 0.99% : 0.000563s : 1: loop_unroll 0.01% : 0.000005s : 1: merge_cast_opt 0.01% : 0.000006s : 1: micro_interleaved_order_control 1.28% : 0.000723s : 1: mutable_eliminate 0.02% : 0.000010s : 1: offloading_packed_experts 0.04% : 0.000022s : 1: opt.transform.loop_unroll_optimizer 0.04% : 0.000023s : 1: opt.transform.mutable_eliminate 2.60% : 0.001472s : 78: opt.transform.opt_a 0.11% : 0.000063s : 1: opt.transform.opt_after_cconv 0.09% : 0.000052s : 1: opt.transform.opt_after_jit_grad 0.52% : 0.000295s : 28: opt.transform.opt_b 0.14% : 0.000082s : 2: opt.transform.opt_trans_graph 0.10% : 0.000058s : 4: opt.transform.symbol_engine_opt 6.31% : 0.003575s : 1: opt_a 0.29% : 0.000165s : 1: opt_after_cconv 1.42% : 0.000803s : 1: opt_after_jit_grad 0.87% : 0.000491s : 1: opt_b 11.64% : 0.006597s : 1: optimize 0.05% : 0.000029s : 1: optimize_parallel_all_gather_comm 0.02% : 0.000010s : 1: order_py_execute_after_rewriter 0.06% : 0.000031s : 1: overlap_grad_flash_sp 0.01% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.02% : 0.000009s : 1: overlap_grad_ring_attention 0.01% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.01% : 0.000007s : 1: overlap_opt_shard_in_pipeline 0.02% : 0.000011s : 1: overlap_param_gather 0.01% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.02% : 0.000010s : 1: overlap_recompute_and_grad_model_parallel 0.01% : 0.000006s : 1: overlap_recompute_comm 0.01% : 0.000008s : 1: parallel-infer-symbol 0.01% : 0.000004s : 1: parallel-infer-symbol-second 0.01% : 0.000006s : 1: partial_unused_args_eliminate 0.01% : 0.000005s : 1: pipeline_parallel_scheduler 0.01% : 0.000004s : 1: pipeline_split 0.06% : 0.000036s : 1: pre_auto_parallel 0.08% : 0.000044s : 1: py_interpret_to_execute 0.03% : 0.000018s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000004s : 1: remove_cast_before_assign_add 0.04% : 0.000021s : 1: remove_dup_value 1.19% : 0.000677s : 1: renormalize.infer 0.81% : 0.000459s : 1: renormalize.specialize 0.01% : 0.000007s : 1: reorder_send_recv_between_fp_bp 0.02% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.31% : 0.000178s : 1: rewriter_after_opt_a 0.11% : 0.000062s : 1: rewriter_before_opt_a 0.01% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.01% : 0.000005s : 1: slice_recompute_activation 0.01% : 0.000005s : 1: split_layernorm_comm 0.01% : 0.000007s : 1: split_matmul_comm_elemetwise 0.02% : 0.000012s : 1: swap_dp_allreduce_reducescatter 0.19% : 0.000109s : 1: symbol_engine_optimizer 0.21% : 0.000117s : 1: tuple_transform 51.96% : 0.029440s : 1: type_inference . [hook] pytest_runtest_teardown:test_group_topk_float16[False-input_param0-bfloat16] tests/st/infer/ops/test_internal_ops/test_group_topk.py::test_group_topk_float16[False-input_param0-bfloat16],max_mem:100.0M TotalTime = 0.0762012, [21] [bootstrap]: 0.00091246 [type_inference]: 0.0616156 [event_method]: 1.696e-05 [auto_monad]: 0.00017948 [graph_reusing]: 5.66e-06 [inline]: 3.09001e-06 [add_attr]: 0.00503934, [1] [add_attr_with_inline]: 0.00502204, [1] [Cycle 1]: 8.334e-05, [2] [tag_attr]: 2.006e-05 [meta_addattr_fg_expand]: 4.89e-06 [parallel-infer-symbol]: 3.95998e-06 [pre_auto_parallel]: 3.493e-05 [insert-virtual-dataset]: 3.08e-06 [parallel-infer-symbol-second]: 7.30011e-07 [dataset_repeat_opt]: 2.12999e-06 [pipeline_split]: 1.77001e-06 [optimize]: 0.00722597, [53] [py_interpret_to_execute]: 3.732e-05 [rewriter_before_opt_a]: 7.21e-05 [opt_a]: 0.003976, [2] [Cycle 1]: 0.00292272, [45] [expand_dump_flag]: 3.07002e-06 [switch_simplify]: 3.221e-05 [loop_unroll]: 1.74e-05 [a_1]: 0.00053731 [with_stream_mark]: 2.471e-05 [recompute_prepare]: 1.427e-05 [updatestate_depend_eliminate]: 8.12e-06 [updatestate_assign_eliminate]: 8.01001e-06 [updatestate_loads_eliminate]: 5.62999e-06 [parameter_eliminate]: 2.04999e-06 [a_2]: 0.00015635 [accelerated_algorithm]: 1.194e-05 [shard]: 2.31e-06 [meta_shard_fg_expand]: 2.98e-06 [shard_inline]: 1.035e-05 [merge_send_recv]: 1.099e-05 [auto_parallel]: 1.134e-05 [parallel]: 3.202e-05 [flash_sp]: 1.086e-05 [merge_comm]: 7.21001e-06 [allreduce_fusion]: 5.51e-06 [matmul_add_comm_reduction]: 1.337e-05 [allreduce_slice_to_reducescatter]: 7.00005e-07 [virtual_shard_identity]: 1.365e-05 [virtual_dataset]: 1.1e-05 [get_grad_eliminate_]: 1.073e-05 [virtual_output]: 1.174e-05 [merge_forward]: 5.91998e-06 [cell_reuse_recompute_pass]: 2.08002e-06 [offload_activation]: 1.393e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.376e-05 [merge_recompute_call_nodes]: 1.60001e-06 [before_grad]: 2.392e-05 [set_forward_comm_id_for_comm_node_pass]: 5.76e-06 [meta_fg_expand]: 4.67e-06 [flash_sp_send_recv_attached]: 3.23998e-06 [receive_attached]: 2.83e-06 [after_resolve]: 1.583e-05 [a_after_grad]: 1.818e-05 [renormalize]: 0.0013479 [add_forward_monad_depend]: 8.72e-06 [auto_monad_grad]: 2.43e-06 [auto_monad_eliminator]: 2.435e-05 [cse]: 6.063e-05 [a_3]: 8.15e-05 [Cycle 2]: 0.00104, [45] [expand_dump_flag]: 2.31e-06 [switch_simplify]: 1.125e-05 [loop_unroll]: 8.95999e-06 [a_1]: 0.00023778 [with_stream_mark]: 1.992e-05 [recompute_prepare]: 9.41003e-06 [updatestate_depend_eliminate]: 5.57001e-06 [updatestate_assign_eliminate]: 4.74e-06 [updatestate_loads_eliminate]: 5.56e-06 [parameter_eliminate]: 1.47001e-06 [a_2]: 0.00012911 [accelerated_algorithm]: 9.70002e-06 [shard]: 2.51e-06 [meta_shard_fg_expand]: 2.94999e-06 [shard_inline]: 9.51998e-06 [merge_send_recv]: 1.004e-05 [auto_parallel]: 1.123e-05 [parallel]: 9.66e-06 [flash_sp]: 3.56001e-06 [merge_comm]: 5.32001e-06 [allreduce_fusion]: 5.27999e-06 [matmul_add_comm_reduction]: 2.884e-05 [allreduce_slice_to_reducescatter]: 8.00006e-07 [virtual_shard_identity]: 1.061e-05 [virtual_dataset]: 9.39998e-06 [get_grad_eliminate_]: 9.64999e-06 [virtual_output]: 9.10999e-06 [merge_forward]: 5.94e-06 [cell_reuse_recompute_pass]: 3.2e-06 [offload_activation]: 1.184e-05 [cell_reuse_handle_not_recompute_node_pass]: 1.921e-05 [merge_recompute_call_nodes]: 1.39e-06 [before_grad]: 1.656e-05 [set_forward_comm_id_for_comm_node_pass]: 6.33002e-06 [meta_fg_expand]: 4.07998e-06 [flash_sp_send_recv_attached]: 2.63e-06 [receive_attached]: 2.31998e-06 [after_resolve]: 3.045e-05 [a_after_grad]: 1.702e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 2.05002e-06 [auto_monad_grad]: 2.73e-06 [auto_monad_eliminator]: 1.65e-05 [cse]: 3.237e-05 [a_3]: 5.997e-05 [py_interpret_to_execute_after_opt_a]: 1.944e-05 [slice_cell_reuse_recomputed_activation]: 2.32999e-06 [rewriter_after_opt_a]: 0.00018253 [convert_after_rewriter]: 1.156e-05 [order_py_execute_after_rewriter]: 7.05e-06 [mutable_eliminate]: 0.00082724 [opt_b]: 0.00039576, [1] [Cycle 1]: 0.00038528, [7] [b_1]: 0.00026073 [b_2]: 1.343e-05 [updatestate_depend_eliminate]: 1.302e-05 [updatestate_assign_eliminate]: 5.12999e-06 [updatestate_loads_eliminate]: 5.29998e-06 [renormalize]: 1.03001e-06 [cse]: 4.01e-05 [optimize_parallel_all_gather_comm]: 2.837e-05 [overlap_param_gather]: 2.63e-06 [cconv]: 3.645e-05 [loop_unroll]: 0.00060288 [opt_after_cconv]: 0.0001932, [1] [Cycle 1]: 0.00018543, [7] [c_1]: 7.364e-05 [parameter_eliminate]: 4.99003e-06 [updatestate_depend_eliminate]: 9.84001e-06 [updatestate_assign_eliminate]: 4.89e-06 [updatestate_loads_eliminate]: 4.38999e-06 [cse]: 3.385e-05 [renormalize]: 5.59987e-07 [remove_dup_value]: 1.927e-05 [tuple_transform]: 0.0001347, [1] [Cycle 1]: 0.00012559, [4] [d_1]: 7.614e-05 [none_parameter_eliminate]: 1.96e-06 [renormalize]: 2.20025e-07 [switch_simplify]: 1.074e-05 [partial_unused_args_eliminate]: 2.29001e-06 [add_recomputation]: 8.717e-05 [cse_after_recomputation]: 3.399e-05, [1] [Cycle 1]: 2.838e-05, [1] [cse]: 2.144e-05 [environ_conv]: 1.398e-05 [swap_dp_allreduce_reducescatter]: 9.14e-06 [bias_add_comm_swap]: 3.7e-06 [label_micro_interleaved_index]: 7.03e-06 [label_fine_grained_interleaved_index]: 2.98e-06 [merge_cast_opt]: 1.33002e-06 [slice_recompute_activation]: 2.34999e-06 [micro_interleaved_order_control]: 2.76e-06 [assign_add_opt]: 1.63002e-06 [ForceFp32Comm]: 9.70002e-07 [remove_cast_before_assign_add]: 1.09e-06 [full_micro_interleaved_order_control]: 3.61001e-06 [reorder_send_recv_between_fp_bp]: 3.25e-06 [comm_op_add_attrs]: 1.07e-06 [add_comm_op_reuse_tag]: 1.04003e-06 [interleave_split_concat_branches]: 1.39e-06 [interleave_parallel_branches]: 1.71002e-06 [overlap_opt_shard_in_pipeline]: 1.39e-06 [overlap_opt_shard_grad_in_pipeline]: 1.78002e-06 [control_data_broadcast_order]: 2.23e-05 [grouped_pairwise_exchange_alltoall]: 1.59e-06 [offloading_packed_experts]: 6.16e-06 [overlap_recompute_and_grad_model_parallel]: 6.51999e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.40001e-06 [overlap_recompute_allgather_and_fa_grad]: 1.69e-06 [overlap_recompute_comm]: 2.91999e-06 [overlap_grad_ring_attention]: 6.14999e-06 [overlap_grad_flash_sp]: 3.078e-05 [begin_end_overlap_inline]: 5.50004e-07 [split_matmul_comm_elemetwise]: 2.29001e-06 [split_layernorm_comm]: 1.87999e-06 [handle_group_info]: 1.41002e-06 [symbol_engine_optimizer]: 0.00012192, [1] [Cycle 1]: 0.00011658, [6] [build]: 5.71e-06 [elim_shapecalc]: 1.658e-05 [elim_not_effective]: 2.12e-05 [opt_reshape]: 1.192e-05 [fold_const_symbol]: 1.676e-05 [renormalize]: 3.19997e-07 [detach_backward]: 2.33998e-06 [pipeline_parallel_scheduler]: 1.74e-06 [auto_monad_reorder]: 0.00011069 [get_jit_bprop_graph]: 1.80001e-06 [rewriter_after_jit_bprop_graph]: 5.66e-06 [opt_after_jit_grad]: 0.00076956 [validate]: 7.372e-05 Sums bootstrap : 0.000912s : 1.30% type_inference : 0.061616s : 88.09% event_method : 0.000017s : 0.02% auto_monad : 0.000179s : 0.26% graph_reusing : 0.000006s : 0.01% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000020s : 0.03% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000005s : 0.01% parallel-infer-symbol : 0.000004s : 0.01% pre_auto_parallel : 0.000035s : 0.05% 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 : 0.05% optimize.rewriter_before_opt_a : 0.000072s : 0.10% optimize.opt_a.expand_dump_flag : 0.000005s : 0.01% optimize.opt_a.switch_simplify : 0.000043s : 0.06% optimize.opt_a.loop_unroll : 0.000026s : 0.04% optimize.opt_a.a_1 : 0.000775s : 1.11% optimize.opt_a.with_stream_mark : 0.000045s : 0.06% optimize.opt_a.recompute_prepare : 0.000024s : 0.03% optimize.opt_a.updatestate_depend_eliminate : 0.000014s : 0.02% optimize.opt_a.updatestate_assign_eliminate : 0.000013s : 0.02% optimize.opt_a.updatestate_loads_eliminate : 0.000011s : 0.02% optimize.opt_a.parameter_eliminate : 0.000004s : 0.01% optimize.opt_a.a_2 : 0.000285s : 0.41% optimize.opt_a.accelerated_algorithm : 0.000022s : 0.03% optimize.opt_a.shard : 0.000005s : 0.01% optimize.opt_a.meta_shard_fg_expand : 0.000006s : 0.01% optimize.opt_a.shard_inline : 0.000020s : 0.03% optimize.opt_a.merge_send_recv : 0.000021s : 0.03% optimize.opt_a.auto_parallel : 0.000023s : 0.03% optimize.opt_a.parallel : 0.000042s : 0.06% optimize.opt_a.flash_sp : 0.000014s : 0.02% optimize.opt_a.merge_comm : 0.000013s : 0.02% optimize.opt_a.allreduce_fusion : 0.000011s : 0.02% optimize.opt_a.matmul_add_comm_reduction : 0.000042s : 0.06% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000024s : 0.03% optimize.opt_a.virtual_dataset : 0.000020s : 0.03% optimize.opt_a.get_grad_eliminate_ : 0.000020s : 0.03% optimize.opt_a.virtual_output : 0.000021s : 0.03% optimize.opt_a.merge_forward : 0.000012s : 0.02% optimize.opt_a.cell_reuse_recompute_pass : 0.000005s : 0.01% optimize.opt_a.offload_activation : 0.000026s : 0.04% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000043s : 0.06% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000040s : 0.06% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000012s : 0.02% optimize.opt_a.meta_fg_expand : 0.000009s : 0.01% optimize.opt_a.flash_sp_send_recv_attached : 0.000006s : 0.01% optimize.opt_a.receive_attached : 0.000005s : 0.01% optimize.opt_a.after_resolve : 0.000046s : 0.07% optimize.opt_a.a_after_grad : 0.000035s : 0.05% optimize.opt_a.renormalize : 0.001348s : 1.93% optimize.opt_a.add_forward_monad_depend : 0.000011s : 0.02% optimize.opt_a.auto_monad_grad : 0.000005s : 0.01% optimize.opt_a.auto_monad_eliminator : 0.000041s : 0.06% optimize.opt_a.cse : 0.000093s : 0.13% optimize.opt_a.a_3 : 0.000141s : 0.20% optimize.py_interpret_to_execute_after_opt_a : 0.000019s : 0.03% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000183s : 0.26% optimize.convert_after_rewriter : 0.000012s : 0.02% optimize.order_py_execute_after_rewriter : 0.000007s : 0.01% optimize.mutable_eliminate : 0.000827s : 1.18% optimize.opt_b.b_1 : 0.000261s : 0.37% optimize.opt_b.b_2 : 0.000013s : 0.02% optimize.opt_b.updatestate_depend_eliminate : 0.000013s : 0.02% optimize.opt_b.updatestate_assign_eliminate : 0.000005s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000005s : 0.01% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000040s : 0.06% optimize.optimize_parallel_all_gather_comm : 0.000028s : 0.04% optimize.overlap_param_gather : 0.000003s : 0.00% optimize.cconv : 0.000036s : 0.05% optimize.loop_unroll : 0.000603s : 0.86% optimize.opt_after_cconv.c_1 : 0.000074s : 0.11% optimize.opt_after_cconv.parameter_eliminate : 0.000005s : 0.01% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000010s : 0.01% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.01% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.01% optimize.opt_after_cconv.cse : 0.000034s : 0.05% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000019s : 0.03% optimize.tuple_transform.d_1 : 0.000076s : 0.11% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000011s : 0.02% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000087s : 0.12% optimize.cse_after_recomputation.cse : 0.000021s : 0.03% optimize.environ_conv : 0.000014s : 0.02% optimize.swap_dp_allreduce_reducescatter : 0.000009s : 0.01% optimize.bias_add_comm_swap : 0.000004s : 0.01% optimize.label_micro_interleaved_index : 0.000007s : 0.01% 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 : 0.000004s : 0.01% 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 : 0.000002s : 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 : 0.000022s : 0.03% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000006s : 0.01% optimize.overlap_recompute_and_grad_model_parallel : 0.000007s : 0.01% 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 : 0.000006s : 0.01% optimize.overlap_grad_flash_sp : 0.000031s : 0.04% 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 : 0.000006s : 0.01% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000017s : 0.02% optimize.symbol_engine_optimizer.elim_not_effective : 0.000021s : 0.03% optimize.symbol_engine_optimizer.opt_reshape : 0.000012s : 0.02% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000017s : 0.02% 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 : 0.000111s : 0.16% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.01% opt_after_jit_grad : 0.000770s : 1.10% validate : 0.000074s : 0.11% Time group info: ------[substitution.] 0.000212 51 4.07% : 0.000009s : 2: substitution.depend_value_elim 1.44% : 0.000003s : 4: substitution.elim_not_effective 1.02% : 0.000002s : 4: substitution.fold_const_symbol 3.98% : 0.000008s : 6: substitution.graph_param_transform 61.30% : 0.000130s : 1: substitution.inline 5.08% : 0.000011s : 8: substitution.j_node_and_user_rematch 3.92% : 0.000008s : 8: substitution.remove_not_recompute_node 2.87% : 0.000006s : 4: substitution.replace_old_param 8.77% : 0.000019s : 6: substitution.updatestate_pure_node_eliminater 7.55% : 0.000016s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.061532 2 98.13% : 0.060382s : 1: type_inference.infer 1.87% : 0.001150s : 1: type_inference.specialize ------[replace.] 0.000022 1 100.00% : 0.000022s : 1: replace.inline ------[match.] 0.000129 1 100.00% : 0.000129s : 1: match.inline ------[predicate.] 0.000252 1421 0.90% : 0.000002s : 13: predicate.accumulaten_eliminater 1.21% : 0.000003s : 6: predicate.ad_related_special_op_eliminate 0.69% : 0.000002s : 12: predicate.addn_check_dump 0.83% : 0.000002s : 13: predicate.addn_zero_filter 0.73% : 0.000002s : 13: predicate.adjust_all_reduce_mul_add 2.67% : 0.000007s : 25: predicate.arithmetic_simplify 0.83% : 0.000002s : 13: predicate.cast_eliminate 0.72% : 0.000002s : 12: predicate.check_bprop_eliminate 0.69% : 0.000002s : 12: predicate.compare_switch_simplify 0.22% : 0.000001s : 6: predicate.const_output_eliminate 0.81% : 0.000002s : 12: predicate.depend_value_elim 0.83% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 0.86% : 0.000002s : 13: predicate.dict_get_item_eliminator 0.82% : 0.000002s : 13: predicate.dict_set_item_eliminator 1.04% : 0.000003s : 12: predicate.dumpgradient_eliminate 0.33% : 0.000001s : 6: predicate.elim_not_effective 0.47% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.41% : 0.000004s : 19: predicate.environ_add_const_eliminate 1.18% : 0.000003s : 19: predicate.environ_get_add_eliminate 1.11% : 0.000003s : 19: predicate.environ_get_depend_swap 1.95% : 0.000005s : 31: predicate.environ_get_eliminate 1.11% : 0.000003s : 19: predicate.environ_get_set_eliminate 0.84% : 0.000002s : 14: predicate.exchange_switch_depend_value 1.43% : 0.000004s : 14: predicate.float_depend_g_call 0.69% : 0.000002s : 12: predicate.float_environ_get_switch 1.05% : 0.000003s : 18: predicate.float_tuple_getitem_switch 0.22% : 0.000001s : 6: predicate.fold_const_symbol 0.95% : 0.000002s : 12: predicate.get_grad_eliminate 0.30% : 0.000001s : 6: predicate.graph_param_transform 0.63% : 0.000002s : 12: predicate.incorporate_call 0.57% : 0.000001s : 12: predicate.incorporate_call_switch 5.36% : 0.000014s : 63: predicate.inline 0.93% : 0.000002s : 12: predicate.inline_without_move 0.36% : 0.000001s : 12: predicate.j_node_and_user_rematch 1.02% : 0.000003s : 12: predicate.less_batch_normalization 1.86% : 0.000005s : 25: predicate.list_to_tuple_eliminator_ 2.16% : 0.000005s : 38: predicate.load_eliminater 1.31% : 0.000003s : 6: predicate.loop_unroll_after_grad 1.07% : 0.000003s : 18: predicate.loop_unroll_before_grad 1.80% : 0.000005s : 25: predicate.make_slice_get_slice_eliminator 0.72% : 0.000002s : 12: predicate.merge_addn 0.65% : 0.000002s : 12: predicate.micro_step_allgather_replace 0.68% : 0.000002s : 12: predicate.mini_step_allgather_replace 0.77% : 0.000002s : 13: predicate.minmaximum_grad 1.51% : 0.000004s : 6: predicate.mutable_eliminate 0.45% : 0.000001s : 6: predicate.opt_reshape 0.61% : 0.000002s : 6: predicate.parallel_virtual_node 1.20% : 0.000003s : 14: predicate.partial_defer_inline 1.18% : 0.000003s : 19: predicate.partial_eliminate 0.96% : 0.000002s : 13: predicate.print_const_string_wrapper 0.90% : 0.000002s : 12: predicate.reduce_all_const_elim 1.21% : 0.000003s : 13: predicate.reduce_eliminate 2.34% : 0.000006s : 38: predicate.redundant_stop_gradient_eliminater 0.70% : 0.000002s : 12: predicate.remove_not_recompute_node 1.20% : 0.000003s : 25: predicate.replace_applicator 0.57% : 0.000001s : 12: predicate.replace_old_param 0.38% : 0.000001s : 6: predicate.reset_defer_inline 0.86% : 0.000002s : 13: predicate.reshape_eliminate 0.82% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.45% : 0.000001s : 6: predicate.row_tensor_eliminate 0.88% : 0.000002s : 12: predicate.same_eliminate 0.47% : 0.000001s : 12: predicate.set_cell_output_no_recompute 1.02% : 0.000003s : 12: predicate.shard_identity_eliminate 0.99% : 0.000002s : 12: predicate.special_op_eliminate 0.79% : 0.000002s : 12: predicate.specialize_transform 1.14% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 1.00% : 0.000003s : 12: predicate.stack_unstack_eliminate 0.45% : 0.000001s : 6: predicate.switch_call_monad_eliminater 0.92% : 0.000002s : 14: predicate.switch_defer_inline 1.61% : 0.000004s : 26: predicate.switch_layer_defer_inline 3.54% : 0.000009s : 50: predicate.switch_simplify 0.89% : 0.000002s : 13: predicate.tile_eliminate 0.84% : 0.000002s : 13: predicate.transpose_eliminate 1.87% : 0.000005s : 25: predicate.tuple_list_convert_item_index_to_positive 1.88% : 0.000005s : 25: predicate.tuple_list_get_item_const_eliminator 1.59% : 0.000004s : 25: predicate.tuple_list_get_item_depend_reorder 3.19% : 0.000008s : 37: predicate.tuple_list_get_item_eliminator 1.66% : 0.000004s : 25: predicate.tuple_list_get_set_item_eliminator 2.51% : 0.000006s : 37: predicate.tuple_list_set_item_eliminator 1.92% : 0.000005s : 25: predicate.tuple_to_list_eliminator_ 2.23% : 0.000006s : 38: predicate.updatestate_pure_node_eliminater 3.47% : 0.000009s : 50: predicate.updatestate_useless_node_eliminater 0.48% : 0.000001s : 6: predicate.value_based_eliminate 0.81% : 0.000002s : 12: predicate.virtual_dataset_eliminate 0.79% : 0.000002s : 12: predicate.virtual_output_eliminate 0.35% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.57% : 0.000001s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000479 4 4.97% : 0.000024s : 1: func_graph_cloner_run.FuncGraphClonerGraph 95.03% : 0.000456s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.091661 192 0.00% : 0.000004s : 1: ForceFp32Comm 5.51% : 0.005047s : 1: add_attr 5.48% : 0.005027s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.10% : 0.000092s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.20% : 0.000187s : 1: auto_monad 0.13% : 0.000116s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.01% : 0.000007s : 1: bias_add_comm_swap 1.04% : 0.000951s : 1: bootstrap 0.04% : 0.000040s : 1: cconv 0.01% : 0.000005s : 1: comm_op_add_attrs 0.03% : 0.000026s : 1: control_data_broadcast_order 0.02% : 0.000016s : 1: convert_after_rewriter 0.04% : 0.000038s : 1: cse_after_recomputation 0.01% : 0.000005s : 1: dataset_repeat_opt 0.01% : 0.000006s : 1: detach_backward 0.02% : 0.000022s : 1: environ_conv 0.03% : 0.000024s : 1: event_method 0.01% : 0.000007s : 1: full_micro_interleaved_order_control 0.01% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000010s : 1: graph_reusing 0.01% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.01% : 0.000006s : 1: inline 0.01% : 0.000007s : 1: insert-virtual-dataset 0.01% : 0.000005s : 1: interleave_parallel_branches 0.01% : 0.000005s : 1: interleave_split_concat_branches 0.01% : 0.000006s : 1: label_fine_grained_interleaved_index 0.01% : 0.000011s : 1: label_micro_interleaved_index 0.67% : 0.000613s : 1: loop_unroll 0.01% : 0.000005s : 1: merge_cast_opt 0.01% : 0.000006s : 1: micro_interleaved_order_control 0.92% : 0.000840s : 1: mutable_eliminate 0.02% : 0.000014s : 1: offloading_packed_experts 0.02% : 0.000023s : 1: opt.transform.loop_unroll_optimizer 0.03% : 0.000027s : 1: opt.transform.mutable_eliminate 1.61% : 0.001480s : 78: opt.transform.opt_a 0.08% : 0.000072s : 1: opt.transform.opt_after_cconv 0.07% : 0.000062s : 1: opt.transform.opt_after_jit_grad 0.25% : 0.000232s : 28: opt.transform.opt_b 0.09% : 0.000084s : 2: opt.transform.opt_trans_graph 0.07% : 0.000063s : 4: opt.transform.symbol_engine_opt 4.34% : 0.003980s : 1: opt_a 0.22% : 0.000197s : 1: opt_after_cconv 0.85% : 0.000784s : 1: opt_after_jit_grad 0.44% : 0.000400s : 1: opt_b 7.89% : 0.007233s : 1: optimize 0.04% : 0.000036s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000011s : 1: order_py_execute_after_rewriter 0.04% : 0.000035s : 1: overlap_grad_flash_sp 0.01% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.01% : 0.000009s : 1: overlap_grad_ring_attention 0.01% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.01% : 0.000005s : 1: overlap_opt_shard_in_pipeline 0.01% : 0.000006s : 1: overlap_param_gather 0.01% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.01% : 0.000010s : 1: overlap_recompute_and_grad_model_parallel 0.01% : 0.000006s : 1: overlap_recompute_comm 0.01% : 0.000008s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.01% : 0.000006s : 1: partial_unused_args_eliminate 0.01% : 0.000005s : 1: pipeline_parallel_scheduler 0.01% : 0.000005s : 1: pipeline_split 0.04% : 0.000040s : 1: pre_auto_parallel 0.05% : 0.000042s : 1: py_interpret_to_execute 0.03% : 0.000024s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000005s : 1: remove_cast_before_assign_add 0.03% : 0.000023s : 1: remove_dup_value 0.80% : 0.000735s : 1: renormalize.infer 0.66% : 0.000601s : 1: renormalize.specialize 0.01% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.01% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.21% : 0.000190s : 1: rewriter_after_opt_a 0.08% : 0.000077s : 1: rewriter_before_opt_a 0.01% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.01% : 0.000005s : 1: slice_recompute_activation 0.01% : 0.000005s : 1: split_layernorm_comm 0.01% : 0.000009s : 1: split_matmul_comm_elemetwise 0.01% : 0.000013s : 1: swap_dp_allreduce_reducescatter 0.14% : 0.000125s : 1: symbol_engine_optimizer 0.15% : 0.000138s : 1: tuple_transform 67.25% : 0.061641s : 1: type_inference . [hook] pytest_runtest_teardown:test_group_topk_float16[False-input_param1-float16] tests/st/infer/ops/test_internal_ops/test_group_topk.py::test_group_topk_float16[False-input_param1-float16],max_mem:100.0M TotalTime = 0.111324, [21] [bootstrap]: 0.0008619 [type_inference]: 0.0834884 [event_method]: 1.553e-05 [auto_monad]: 0.00016629 [graph_reusing]: 5.07e-06 [inline]: 2.22001e-06 [add_attr]: 0.0049913, [1] [add_attr_with_inline]: 0.00497353, [1] [Cycle 1]: 0.00011825, [2] [tag_attr]: 6.155e-05 [meta_addattr_fg_expand]: 4.92999e-06 [parallel-infer-symbol]: 3.67998e-06 [pre_auto_parallel]: 3.739e-05 [insert-virtual-dataset]: 3.53e-06 [parallel-infer-symbol-second]: 8.60018e-07 [dataset_repeat_opt]: 1.99e-06 [pipeline_split]: 1.58002e-06 [optimize]: 0.0204632, [53] [py_interpret_to_execute]: 3.812e-05 [rewriter_before_opt_a]: 7.21e-05 [opt_a]: 0.0168737, [2] [Cycle 1]: 0.0157643, [45] [expand_dump_flag]: 3.71999e-06 [switch_simplify]: 3.047e-05 [loop_unroll]: 1.54e-05 [a_1]: 0.0127817 [with_stream_mark]: 4.743e-05 [recompute_prepare]: 2.623e-05 [updatestate_depend_eliminate]: 8.11002e-06 [updatestate_assign_eliminate]: 5.72999e-06 [updatestate_loads_eliminate]: 5.29998e-06 [parameter_eliminate]: 2.80997e-06 [a_2]: 0.00016966 [accelerated_algorithm]: 1.591e-05 [shard]: 3.08998e-06 [meta_shard_fg_expand]: 6.31e-06 [shard_inline]: 1.013e-05 [merge_send_recv]: 1.536e-05 [auto_parallel]: 1.38e-05 [parallel]: 3.237e-05 [flash_sp]: 1.633e-05 [merge_comm]: 1.054e-05 [allreduce_fusion]: 5.85002e-06 [matmul_add_comm_reduction]: 1.439e-05 [allreduce_slice_to_reducescatter]: 1.37e-06 [virtual_shard_identity]: 1.694e-05 [virtual_dataset]: 1.145e-05 [get_grad_eliminate_]: 1.175e-05 [virtual_output]: 1.586e-05 [merge_forward]: 7.45e-06 [cell_reuse_recompute_pass]: 3.89002e-06 [offload_activation]: 1.475e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.849e-05 [merge_recompute_call_nodes]: 1.40001e-06 [before_grad]: 2.156e-05 [set_forward_comm_id_for_comm_node_pass]: 8.20999e-06 [meta_fg_expand]: 6.01e-06 [flash_sp_send_recv_attached]: 3.78999e-06 [receive_attached]: 2.22999e-06 [after_resolve]: 2.143e-05 [a_after_grad]: 2.147e-05 [renormalize]: 0.0017214 [add_forward_monad_depend]: 1.025e-05 [auto_monad_grad]: 2.69999e-06 [auto_monad_eliminator]: 3.205e-05 [cse]: 5.047e-05 [a_3]: 9.143e-05 [Cycle 2]: 0.00109395, [45] [expand_dump_flag]: 3.59002e-06 [switch_simplify]: 1.255e-05 [loop_unroll]: 9.63997e-06 [a_1]: 0.00023067 [with_stream_mark]: 2.291e-05 [recompute_prepare]: 1.115e-05 [updatestate_depend_eliminate]: 8.18001e-06 [updatestate_assign_eliminate]: 5.19998e-06 [updatestate_loads_eliminate]: 5.48002e-06 [parameter_eliminate]: 2.13002e-06 [a_2]: 0.00013368 [accelerated_algorithm]: 1.175e-05 [shard]: 2.67001e-06 [meta_shard_fg_expand]: 2.84999e-06 [shard_inline]: 9.87001e-06 [merge_send_recv]: 1.34e-05 [auto_parallel]: 1.209e-05 [parallel]: 9.96998e-06 [flash_sp]: 4.60999e-06 [merge_comm]: 5.44e-06 [allreduce_fusion]: 4.72998e-06 [matmul_add_comm_reduction]: 1.367e-05 [allreduce_slice_to_reducescatter]: 9.30013e-07 [virtual_shard_identity]: 1.432e-05 [virtual_dataset]: 9.62001e-06 [get_grad_eliminate_]: 3.827e-05 [virtual_output]: 1.014e-05 [merge_forward]: 6.76999e-06 [cell_reuse_recompute_pass]: 3.23e-06 [offload_activation]: 1.325e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.158e-05 [merge_recompute_call_nodes]: 1.43002e-06 [before_grad]: 1.572e-05 [set_forward_comm_id_for_comm_node_pass]: 6.73e-06 [meta_fg_expand]: 4.58999e-06 [flash_sp_send_recv_attached]: 2.49001e-06 [receive_attached]: 2.23998e-06 [after_resolve]: 3.09e-05 [a_after_grad]: 1.766e-05 [renormalize]: 1.09983e-07 [add_forward_monad_depend]: 3.26001e-06 [auto_monad_grad]: 2.16998e-06 [auto_monad_eliminator]: 2.161e-05 [cse]: 3.521e-05 [a_3]: 5.999e-05 [py_interpret_to_execute_after_opt_a]: 2.344e-05 [slice_cell_reuse_recomputed_activation]: 2.24999e-06 [rewriter_after_opt_a]: 0.00021507 [convert_after_rewriter]: 1.335e-05 [order_py_execute_after_rewriter]: 6.81001e-06 [mutable_eliminate]: 0.00088143 [opt_b]: 0.00042925, [1] [Cycle 1]: 0.00041631, [7] [b_1]: 0.000266 [b_2]: 1.457e-05 [updatestate_depend_eliminate]: 1.479e-05 [updatestate_assign_eliminate]: 5.77999e-06 [updatestate_loads_eliminate]: 5.40999e-06 [renormalize]: 1.25999e-06 [cse]: 5.412e-05 [optimize_parallel_all_gather_comm]: 2.872e-05 [overlap_param_gather]: 2.62001e-06 [cconv]: 3.825e-05 [loop_unroll]: 0.00074455 [opt_after_cconv]: 0.00022905, [1] [Cycle 1]: 0.00021785, [7] [c_1]: 8.121e-05 [parameter_eliminate]: 6.10002e-06 [updatestate_depend_eliminate]: 1.336e-05 [updatestate_assign_eliminate]: 5.25999e-06 [updatestate_loads_eliminate]: 8.02998e-06 [cse]: 4.34e-05 [renormalize]: 4.59986e-07 [remove_dup_value]: 2.716e-05 [tuple_transform]: 0.00012272, [1] [Cycle 1]: 0.0001168, [4] [d_1]: 7.706e-05 [none_parameter_eliminate]: 2.09e-06 [renormalize]: 2.59985e-07 [switch_simplify]: 1.122e-05 [partial_unused_args_eliminate]: 2.11e-06 [add_recomputation]: 0.00010118 [cse_after_recomputation]: 4.069e-05, [1] [Cycle 1]: 3.525e-05, [1] [cse]: 2.291e-05 [environ_conv]: 1.424e-05 [swap_dp_allreduce_reducescatter]: 8.33999e-06 [bias_add_comm_swap]: 4.28001e-06 [label_micro_interleaved_index]: 8.28999e-06 [label_fine_grained_interleaved_index]: 3.07002e-06 [merge_cast_opt]: 1.35001e-06 [slice_recompute_activation]: 2.37999e-06 [micro_interleaved_order_control]: 2.81999e-06 [assign_add_opt]: 1.24e-06 [ForceFp32Comm]: 1.30999e-06 [remove_cast_before_assign_add]: 1.34e-06 [full_micro_interleaved_order_control]: 2.43998e-06 [reorder_send_recv_between_fp_bp]: 2.78e-06 [comm_op_add_attrs]: 1.05999e-06 [add_comm_op_reuse_tag]: 1.15999e-06 [interleave_split_concat_branches]: 1.55999e-06 [interleave_parallel_branches]: 1.30999e-06 [overlap_opt_shard_in_pipeline]: 1.52999e-06 [overlap_opt_shard_grad_in_pipeline]: 1.72999e-06 [control_data_broadcast_order]: 2.431e-05 [grouped_pairwise_exchange_alltoall]: 1.57999e-06 [offloading_packed_experts]: 6.36e-06 [overlap_recompute_and_grad_model_parallel]: 6.40002e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.57001e-06 [overlap_recompute_allgather_and_fa_grad]: 1.45001e-06 [overlap_recompute_comm]: 2.60002e-06 [overlap_grad_ring_attention]: 5.77001e-06 [overlap_grad_flash_sp]: 2.918e-05 [begin_end_overlap_inline]: 5.3001e-07 [split_matmul_comm_elemetwise]: 2.07001e-06 [split_layernorm_comm]: 1.82001e-06 [handle_group_info]: 1.00999e-06 [symbol_engine_optimizer]: 0.00012524, [1] [Cycle 1]: 0.00011928, [6] [build]: 6.24999e-06 [elim_shapecalc]: 2.03e-05 [elim_not_effective]: 2.002e-05 [opt_reshape]: 1.232e-05 [fold_const_symbol]: 1.753e-05 [renormalize]: 2.00002e-07 [detach_backward]: 3.14001e-06 [pipeline_parallel_scheduler]: 1.67999e-06 [auto_monad_reorder]: 0.00016112 [get_jit_bprop_graph]: 2.27999e-06 [rewriter_after_jit_bprop_graph]: 9.19e-06 [opt_after_jit_grad]: 0.00081599 [validate]: 7.667e-05 Sums bootstrap : 0.000862s : 0.82% type_inference : 0.083488s : 79.52% event_method : 0.000016s : 0.01% auto_monad : 0.000166s : 0.16% graph_reusing : 0.000005s : 0.00% inline : 0.000002s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000062s : 0.06% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000005s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000037s : 0.04% insert-virtual-dataset : 0.000004s : 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 : 0.000038s : 0.04% optimize.rewriter_before_opt_a : 0.000072s : 0.07% optimize.opt_a.expand_dump_flag : 0.000007s : 0.01% optimize.opt_a.switch_simplify : 0.000043s : 0.04% optimize.opt_a.loop_unroll : 0.000025s : 0.02% optimize.opt_a.a_1 : 0.013012s : 12.39% optimize.opt_a.with_stream_mark : 0.000070s : 0.07% optimize.opt_a.recompute_prepare : 0.000037s : 0.04% optimize.opt_a.updatestate_depend_eliminate : 0.000016s : 0.02% optimize.opt_a.updatestate_assign_eliminate : 0.000011s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000011s : 0.01% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.000303s : 0.29% optimize.opt_a.accelerated_algorithm : 0.000028s : 0.03% optimize.opt_a.shard : 0.000006s : 0.01% optimize.opt_a.meta_shard_fg_expand : 0.000009s : 0.01% optimize.opt_a.shard_inline : 0.000020s : 0.02% optimize.opt_a.merge_send_recv : 0.000029s : 0.03% optimize.opt_a.auto_parallel : 0.000026s : 0.02% optimize.opt_a.parallel : 0.000042s : 0.04% optimize.opt_a.flash_sp : 0.000021s : 0.02% optimize.opt_a.merge_comm : 0.000016s : 0.02% optimize.opt_a.allreduce_fusion : 0.000011s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000028s : 0.03% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000031s : 0.03% optimize.opt_a.virtual_dataset : 0.000021s : 0.02% optimize.opt_a.get_grad_eliminate_ : 0.000050s : 0.05% optimize.opt_a.virtual_output : 0.000026s : 0.02% optimize.opt_a.merge_forward : 0.000014s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000007s : 0.01% optimize.opt_a.offload_activation : 0.000028s : 0.03% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000050s : 0.05% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000037s : 0.04% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000015s : 0.01% optimize.opt_a.meta_fg_expand : 0.000011s : 0.01% optimize.opt_a.flash_sp_send_recv_attached : 0.000006s : 0.01% optimize.opt_a.receive_attached : 0.000004s : 0.00% optimize.opt_a.after_resolve : 0.000052s : 0.05% optimize.opt_a.a_after_grad : 0.000039s : 0.04% optimize.opt_a.renormalize : 0.001722s : 1.64% optimize.opt_a.add_forward_monad_depend : 0.000014s : 0.01% optimize.opt_a.auto_monad_grad : 0.000005s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000054s : 0.05% optimize.opt_a.cse : 0.000086s : 0.08% optimize.opt_a.a_3 : 0.000151s : 0.14% optimize.py_interpret_to_execute_after_opt_a : 0.000023s : 0.02% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000215s : 0.20% optimize.convert_after_rewriter : 0.000013s : 0.01% optimize.order_py_execute_after_rewriter : 0.000007s : 0.01% optimize.mutable_eliminate : 0.000881s : 0.84% optimize.opt_b.b_1 : 0.000266s : 0.25% optimize.opt_b.b_2 : 0.000015s : 0.01% optimize.opt_b.updatestate_depend_eliminate : 0.000015s : 0.01% optimize.opt_b.updatestate_assign_eliminate : 0.000006s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000005s : 0.01% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000054s : 0.05% optimize.optimize_parallel_all_gather_comm : 0.000029s : 0.03% optimize.overlap_param_gather : 0.000003s : 0.00% optimize.cconv : 0.000038s : 0.04% optimize.loop_unroll : 0.000745s : 0.71% optimize.opt_after_cconv.c_1 : 0.000081s : 0.08% optimize.opt_after_cconv.parameter_eliminate : 0.000006s : 0.01% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.01% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.01% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000008s : 0.01% optimize.opt_after_cconv.cse : 0.000043s : 0.04% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000027s : 0.03% optimize.tuple_transform.d_1 : 0.000077s : 0.07% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000011s : 0.01% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000101s : 0.10% optimize.cse_after_recomputation.cse : 0.000023s : 0.02% optimize.environ_conv : 0.000014s : 0.01% optimize.swap_dp_allreduce_reducescatter : 0.000008s : 0.01% optimize.bias_add_comm_swap : 0.000004s : 0.00% optimize.label_micro_interleaved_index : 0.000008s : 0.01% 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 : 0.000001s : 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 : 0.000002s : 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 : 0.000024s : 0.02% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000006s : 0.01% optimize.overlap_recompute_and_grad_model_parallel : 0.000006s : 0.01% 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 : 0.000003s : 0.00% optimize.overlap_grad_ring_attention : 0.000006s : 0.01% optimize.overlap_grad_flash_sp : 0.000029s : 0.03% 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 : 0.000006s : 0.01% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000020s : 0.02% optimize.symbol_engine_optimizer.elim_not_effective : 0.000020s : 0.02% optimize.symbol_engine_optimizer.opt_reshape : 0.000012s : 0.01% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000018s : 0.02% 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 : 0.000161s : 0.15% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.01% opt_after_jit_grad : 0.000816s : 0.78% validate : 0.000077s : 0.07% Time group info: ------[substitution.] 0.012296 51 0.08% : 0.000010s : 2: substitution.depend_value_elim 0.02% : 0.000003s : 4: substitution.elim_not_effective 0.02% : 0.000002s : 4: substitution.fold_const_symbol 0.06% : 0.000008s : 6: substitution.graph_param_transform 1.11% : 0.000137s : 1: substitution.inline 0.06% : 0.000008s : 8: substitution.j_node_and_user_rematch 0.07% : 0.000009s : 8: substitution.remove_not_recompute_node 0.07% : 0.000008s : 4: substitution.replace_old_param 0.30% : 0.000036s : 6: substitution.updatestate_pure_node_eliminater 98.21% : 0.012076s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.083407 2 98.62% : 0.082259s : 1: type_inference.infer 1.38% : 0.001148s : 1: type_inference.specialize ------[replace.] 0.000022 1 100.00% : 0.000022s : 1: replace.inline ------[match.] 0.000136 1 100.00% : 0.000136s : 1: match.inline ------[predicate.] 0.000276 1421 0.91% : 0.000002s : 13: predicate.accumulaten_eliminater 1.38% : 0.000004s : 6: predicate.ad_related_special_op_eliminate 0.60% : 0.000002s : 12: predicate.addn_check_dump 1.01% : 0.000003s : 13: predicate.addn_zero_filter 0.92% : 0.000003s : 13: predicate.adjust_all_reduce_mul_add 2.61% : 0.000007s : 25: predicate.arithmetic_simplify 0.86% : 0.000002s : 13: predicate.cast_eliminate 0.64% : 0.000002s : 12: predicate.check_bprop_eliminate 0.60% : 0.000002s : 12: predicate.compare_switch_simplify 0.17% : 0.000000s : 6: predicate.const_output_eliminate 0.77% : 0.000002s : 12: predicate.depend_value_elim 0.81% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 0.87% : 0.000002s : 13: predicate.dict_get_item_eliminator 0.84% : 0.000002s : 13: predicate.dict_set_item_eliminator 1.40% : 0.000004s : 12: predicate.dumpgradient_eliminate 0.23% : 0.000001s : 6: predicate.elim_not_effective 0.45% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.22% : 0.000003s : 19: predicate.environ_add_const_eliminate 0.93% : 0.000003s : 19: predicate.environ_get_add_eliminate 0.93% : 0.000003s : 19: predicate.environ_get_depend_swap 1.83% : 0.000005s : 31: predicate.environ_get_eliminate 0.96% : 0.000003s : 19: predicate.environ_get_set_eliminate 0.74% : 0.000002s : 14: predicate.exchange_switch_depend_value 1.38% : 0.000004s : 14: predicate.float_depend_g_call 0.63% : 0.000002s : 12: predicate.float_environ_get_switch 0.93% : 0.000003s : 18: predicate.float_tuple_getitem_switch 0.19% : 0.000001s : 6: predicate.fold_const_symbol 0.98% : 0.000003s : 12: predicate.get_grad_eliminate 0.28% : 0.000001s : 6: predicate.graph_param_transform 0.61% : 0.000002s : 12: predicate.incorporate_call 0.53% : 0.000001s : 12: predicate.incorporate_call_switch 5.36% : 0.000015s : 63: predicate.inline 1.15% : 0.000003s : 12: predicate.inline_without_move 0.33% : 0.000001s : 12: predicate.j_node_and_user_rematch 1.32% : 0.000004s : 12: predicate.less_batch_normalization 1.85% : 0.000005s : 25: predicate.list_to_tuple_eliminator_ 1.92% : 0.000005s : 38: predicate.load_eliminater 1.72% : 0.000005s : 6: predicate.loop_unroll_after_grad 1.13% : 0.000003s : 18: predicate.loop_unroll_before_grad 1.75% : 0.000005s : 25: predicate.make_slice_get_slice_eliminator 0.69% : 0.000002s : 12: predicate.merge_addn 0.61% : 0.000002s : 12: predicate.micro_step_allgather_replace 0.65% : 0.000002s : 12: predicate.mini_step_allgather_replace 0.66% : 0.000002s : 13: predicate.minmaximum_grad 1.85% : 0.000005s : 6: predicate.mutable_eliminate 0.42% : 0.000001s : 6: predicate.opt_reshape 0.54% : 0.000001s : 6: predicate.parallel_virtual_node 0.94% : 0.000003s : 14: predicate.partial_defer_inline 1.82% : 0.000005s : 19: predicate.partial_eliminate 0.81% : 0.000002s : 13: predicate.print_const_string_wrapper 0.97% : 0.000003s : 12: predicate.reduce_all_const_elim 1.31% : 0.000004s : 13: predicate.reduce_eliminate 2.14% : 0.000006s : 38: predicate.redundant_stop_gradient_eliminater 0.56% : 0.000002s : 12: predicate.remove_not_recompute_node 0.96% : 0.000003s : 25: predicate.replace_applicator 0.60% : 0.000002s : 12: predicate.replace_old_param 0.34% : 0.000001s : 6: predicate.reset_defer_inline 0.86% : 0.000002s : 13: predicate.reshape_eliminate 0.75% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.56% : 0.000002s : 6: predicate.row_tensor_eliminate 0.83% : 0.000002s : 12: predicate.same_eliminate 0.45% : 0.000001s : 12: predicate.set_cell_output_no_recompute 1.03% : 0.000003s : 12: predicate.shard_identity_eliminate 0.82% : 0.000002s : 12: predicate.special_op_eliminate 0.77% : 0.000002s : 12: predicate.specialize_transform 1.20% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 1.22% : 0.000003s : 12: predicate.stack_unstack_eliminate 0.60% : 0.000002s : 6: predicate.switch_call_monad_eliminater 0.82% : 0.000002s : 14: predicate.switch_defer_inline 1.44% : 0.000004s : 26: predicate.switch_layer_defer_inline 3.56% : 0.000010s : 50: predicate.switch_simplify 1.09% : 0.000003s : 13: predicate.tile_eliminate 0.92% : 0.000003s : 13: predicate.transpose_eliminate 2.00% : 0.000006s : 25: predicate.tuple_list_convert_item_index_to_positive 1.70% : 0.000005s : 25: predicate.tuple_list_get_item_const_eliminator 1.91% : 0.000005s : 25: predicate.tuple_list_get_item_depend_reorder 3.27% : 0.000009s : 37: predicate.tuple_list_get_item_eliminator 1.75% : 0.000005s : 25: predicate.tuple_list_get_set_item_eliminator 2.91% : 0.000008s : 37: predicate.tuple_list_set_item_eliminator 1.69% : 0.000005s : 25: predicate.tuple_to_list_eliminator_ 2.24% : 0.000006s : 38: predicate.updatestate_pure_node_eliminater 3.03% : 0.000008s : 50: predicate.updatestate_useless_node_eliminater 0.42% : 0.000001s : 6: predicate.value_based_eliminate 0.81% : 0.000002s : 12: predicate.virtual_dataset_eliminate 0.88% : 0.000002s : 12: predicate.virtual_output_eliminate 0.35% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.56% : 0.000002s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000586 4 4.15% : 0.000024s : 1: func_graph_cloner_run.FuncGraphClonerGraph 95.85% : 0.000562s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.152675 192 0.00% : 0.000004s : 1: ForceFp32Comm 3.27% : 0.005000s : 1: add_attr 3.26% : 0.004978s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.07% : 0.000107s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.11% : 0.000175s : 1: auto_monad 0.11% : 0.000172s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000008s : 1: bias_add_comm_swap 0.60% : 0.000909s : 1: bootstrap 0.03% : 0.000046s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.02% : 0.000029s : 1: control_data_broadcast_order 0.01% : 0.000017s : 1: convert_after_rewriter 0.03% : 0.000044s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.01% : 0.000017s : 1: environ_conv 0.01% : 0.000022s : 1: event_method 0.00% : 0.000006s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.01% : 0.000009s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000005s : 1: inline 0.00% : 0.000007s : 1: insert-virtual-dataset 0.00% : 0.000007s : 1: interleave_parallel_branches 0.00% : 0.000005s : 1: interleave_split_concat_branches 0.00% : 0.000007s : 1: label_fine_grained_interleaved_index 0.01% : 0.000015s : 1: label_micro_interleaved_index 0.50% : 0.000762s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.59% : 0.000895s : 1: mutable_eliminate 0.01% : 0.000011s : 1: offloading_packed_experts 0.02% : 0.000030s : 1: opt.transform.loop_unroll_optimizer 0.02% : 0.000034s : 1: opt.transform.mutable_eliminate 9.04% : 0.013798s : 78: opt.transform.opt_a 0.05% : 0.000079s : 1: opt.transform.opt_after_cconv 0.03% : 0.000052s : 1: opt.transform.opt_after_jit_grad 0.15% : 0.000237s : 28: opt.transform.opt_b 0.06% : 0.000086s : 2: opt.transform.opt_trans_graph 0.04% : 0.000066s : 4: opt.transform.symbol_engine_opt 11.05% : 0.016878s : 1: opt_a 0.15% : 0.000236s : 1: opt_after_cconv 0.54% : 0.000832s : 1: opt_after_jit_grad 0.28% : 0.000434s : 1: opt_b 13.41% : 0.020471s : 1: optimize 0.02% : 0.000034s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000010s : 1: order_py_execute_after_rewriter 0.02% : 0.000033s : 1: overlap_grad_flash_sp 0.00% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.01% : 0.000010s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000005s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000006s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.01% : 0.000010s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000005s : 1: overlap_recompute_comm 0.01% : 0.000008s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.01% : 0.000008s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000004s : 1: pipeline_split 0.03% : 0.000042s : 1: pre_auto_parallel 0.03% : 0.000042s : 1: py_interpret_to_execute 0.02% : 0.000028s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000005s : 1: remove_cast_before_assign_add 0.02% : 0.000034s : 1: remove_dup_value 0.63% : 0.000960s : 1: renormalize.infer 0.49% : 0.000746s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.01% : 0.000014s : 1: rewriter_after_jit_bprop_graph 0.15% : 0.000223s : 1: rewriter_after_opt_a 0.05% : 0.000077s : 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% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000006s : 1: split_matmul_comm_elemetwise 0.01% : 0.000012s : 1: swap_dp_allreduce_reducescatter 0.08% : 0.000128s : 1: symbol_engine_optimizer 0.08% : 0.000126s : 1: tuple_transform 54.70% : 0.083511s : 1: type_inference . [hook] pytest_runtest_teardown:test_group_topk_float16[False-input_param1-bfloat16] tests/st/infer/ops/test_internal_ops/test_group_topk.py::test_group_topk_float16[False-input_param1-bfloat16],max_mem:100.0M TotalTime = 0.0472456, [21] [bootstrap]: 0.00085891 [type_inference]: 0.0335026 [event_method]: 1.682e-05 [auto_monad]: 0.00014847 [graph_reusing]: 5.72999e-06 [inline]: 2.84999e-06 [add_attr]: 0.00469542, [1] [add_attr_with_inline]: 0.00468043, [1] [Cycle 1]: 7.33e-05, [2] [tag_attr]: 2.091e-05 [meta_addattr_fg_expand]: 3.93001e-06 [parallel-infer-symbol]: 4.04002e-06 [pre_auto_parallel]: 3.533e-05 [insert-virtual-dataset]: 2.76999e-06 [parallel-infer-symbol-second]: 7.60017e-07 [dataset_repeat_opt]: 1.95001e-06 [pipeline_split]: 1.67999e-06 [optimize]: 0.00701378, [53] [py_interpret_to_execute]: 3.191e-05 [rewriter_before_opt_a]: 6.199e-05 [opt_a]: 0.00379977, [2] [Cycle 1]: 0.00287091, [45] [expand_dump_flag]: 2.86e-06 [switch_simplify]: 2.855e-05 [loop_unroll]: 1.552e-05 [a_1]: 0.00048529 [with_stream_mark]: 2.169e-05 [recompute_prepare]: 1.299e-05 [updatestate_depend_eliminate]: 6.53e-06 [updatestate_assign_eliminate]: 6.18998e-06 [updatestate_loads_eliminate]: 5.12999e-06 [parameter_eliminate]: 1.77001e-06 [a_2]: 0.00014817 [accelerated_algorithm]: 1.239e-05 [shard]: 3.78999e-06 [meta_shard_fg_expand]: 2.94001e-06 [shard_inline]: 1e-05 [merge_send_recv]: 1.076e-05 [auto_parallel]: 9.55001e-06 [parallel]: 2.842e-05 [flash_sp]: 1.032e-05 [merge_comm]: 6.31998e-06 [allreduce_fusion]: 5.26998e-06 [matmul_add_comm_reduction]: 1.269e-05 [allreduce_slice_to_reducescatter]: 6.49976e-07 [virtual_shard_identity]: 1.296e-05 [virtual_dataset]: 1.526e-05 [get_grad_eliminate_]: 1.026e-05 [virtual_output]: 9.70002e-06 [merge_forward]: 6.44001e-06 [cell_reuse_recompute_pass]: 1.45999e-06 [offload_activation]: 1.251e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.167e-05 [merge_recompute_call_nodes]: 1.59e-06 [before_grad]: 1.674e-05 [set_forward_comm_id_for_comm_node_pass]: 6.18998e-06 [meta_fg_expand]: 4.41002e-06 [flash_sp_send_recv_attached]: 2.89999e-06 [receive_attached]: 2.09e-06 [after_resolve]: 1.83e-05 [a_after_grad]: 2.2e-05 [renormalize]: 0.00137668 [add_forward_monad_depend]: 6.46e-06 [auto_monad_grad]: 2.46e-06 [auto_monad_eliminator]: 2.643e-05 [cse]: 4.346e-05 [a_3]: 7.806e-05 [Cycle 2]: 0.00091589, [45] [expand_dump_flag]: 1.94999e-06 [switch_simplify]: 1.176e-05 [loop_unroll]: 9.15999e-06 [a_1]: 0.00021476 [with_stream_mark]: 1.858e-05 [recompute_prepare]: 9.61e-06 [updatestate_depend_eliminate]: 6.10002e-06 [updatestate_assign_eliminate]: 4.93001e-06 [updatestate_loads_eliminate]: 5.20001e-06 [parameter_eliminate]: 1.55999e-06 [a_2]: 0.00012706 [accelerated_algorithm]: 9.79999e-06 [shard]: 1.76003e-06 [meta_shard_fg_expand]: 2.37999e-06 [shard_inline]: 9.43002e-06 [merge_send_recv]: 8.59998e-06 [auto_parallel]: 8.65999e-06 [parallel]: 7.95998e-06 [flash_sp]: 3.73001e-06 [merge_comm]: 5.14e-06 [allreduce_fusion]: 5.27999e-06 [matmul_add_comm_reduction]: 1.035e-05 [allreduce_slice_to_reducescatter]: 7.30011e-07 [virtual_shard_identity]: 9.99999e-06 [virtual_dataset]: 9.14e-06 [get_grad_eliminate_]: 8.59e-06 [virtual_output]: 8.33999e-06 [merge_forward]: 5.03002e-06 [cell_reuse_recompute_pass]: 3.02002e-06 [offload_activation]: 1.179e-05 [cell_reuse_handle_not_recompute_node_pass]: 1.664e-05 [merge_recompute_call_nodes]: 1.35001e-06 [before_grad]: 1.393e-05 [set_forward_comm_id_for_comm_node_pass]: 5.96e-06 [meta_fg_expand]: 3.88999e-06 [flash_sp_send_recv_attached]: 1.49e-06 [receive_attached]: 1.72001e-06 [after_resolve]: 2.115e-05 [a_after_grad]: 1.595e-05 [renormalize]: 7.99773e-08 [add_forward_monad_depend]: 1.80001e-06 [auto_monad_grad]: 1.46998e-06 [auto_monad_eliminator]: 1.288e-05 [cse]: 2.258e-05 [a_3]: 5.859e-05 [py_interpret_to_execute_after_opt_a]: 1.723e-05 [slice_cell_reuse_recomputed_activation]: 2.20002e-06 [rewriter_after_opt_a]: 0.0001583 [convert_after_rewriter]: 1.049e-05 [order_py_execute_after_rewriter]: 6.53998e-06 [mutable_eliminate]: 0.00084276 [opt_b]: 0.00040043, [1] [Cycle 1]: 0.00037742, [7] [b_1]: 0.00024125 [b_2]: 1.296e-05 [updatestate_depend_eliminate]: 1.136e-05 [updatestate_assign_eliminate]: 4.87998e-06 [updatestate_loads_eliminate]: 4.61002e-06 [renormalize]: 8.70001e-07 [cse]: 3.721e-05 [optimize_parallel_all_gather_comm]: 2.381e-05 [overlap_param_gather]: 2.58e-06 [cconv]: 3.303e-05 [loop_unroll]: 0.00055077 [opt_after_cconv]: 0.00017844, [1] [Cycle 1]: 0.00017118, [7] [c_1]: 6.488e-05 [parameter_eliminate]: 4.37003e-06 [updatestate_depend_eliminate]: 1.015e-05 [updatestate_assign_eliminate]: 4.97e-06 [updatestate_loads_eliminate]: 4.74998e-06 [cse]: 3.037e-05 [renormalize]: 7.00005e-07 [remove_dup_value]: 1.844e-05 [tuple_transform]: 0.00010828, [1] [Cycle 1]: 0.00010262, [4] [d_1]: 6.777e-05 [none_parameter_eliminate]: 1.89999e-06 [renormalize]: 2.3999e-07 [switch_simplify]: 1.054e-05 [partial_unused_args_eliminate]: 1.92999e-06 [add_recomputation]: 7.834e-05 [cse_after_recomputation]: 3.095e-05, [1] [Cycle 1]: 2.613e-05, [1] [cse]: 1.918e-05 [environ_conv]: 1.09e-05 [swap_dp_allreduce_reducescatter]: 8.24002e-06 [bias_add_comm_swap]: 3.06999e-06 [label_micro_interleaved_index]: 5.84999e-06 [label_fine_grained_interleaved_index]: 2.76e-06 [merge_cast_opt]: 1.35999e-06 [slice_recompute_activation]: 2.04999e-06 [micro_interleaved_order_control]: 2.39001e-06 [assign_add_opt]: 1.24e-06 [ForceFp32Comm]: 9.20001e-07 [remove_cast_before_assign_add]: 1.16002e-06 [full_micro_interleaved_order_control]: 2.47001e-06 [reorder_send_recv_between_fp_bp]: 2.88e-06 [comm_op_add_attrs]: 1.02e-06 [add_comm_op_reuse_tag]: 9.79984e-07 [interleave_split_concat_branches]: 1.46998e-06 [interleave_parallel_branches]: 1.19e-06 [overlap_opt_shard_in_pipeline]: 1.15001e-06 [overlap_opt_shard_grad_in_pipeline]: 2.04e-06 [control_data_broadcast_order]: 2.042e-05 [grouped_pairwise_exchange_alltoall]: 1.47001e-06 [offloading_packed_experts]: 5.39e-06 [overlap_recompute_and_grad_model_parallel]: 6.06e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.82001e-06 [overlap_recompute_allgather_and_fa_grad]: 1.67001e-06 [overlap_recompute_comm]: 2.44001e-06 [overlap_grad_ring_attention]: 6.51e-06 [overlap_grad_flash_sp]: 2.77e-05 [begin_end_overlap_inline]: 4.59986e-07 [split_matmul_comm_elemetwise]: 2.20002e-06 [split_layernorm_comm]: 2.02999e-06 [handle_group_info]: 1.05999e-06 [symbol_engine_optimizer]: 0.00026936, [1] [Cycle 1]: 0.00026391, [6] [build]: 0.00011524 [elim_shapecalc]: 1.87e-05 [elim_not_effective]: 4.182e-05 [opt_reshape]: 1.316e-05 [fold_const_symbol]: 2.461e-05 [renormalize]: 4.00003e-07 [detach_backward]: 2.74999e-06 [pipeline_parallel_scheduler]: 2.01e-06 [auto_monad_reorder]: 9.458e-05 [get_jit_bprop_graph]: 1.69e-06 [rewriter_after_jit_bprop_graph]: 6.64001e-06 [opt_after_jit_grad]: 0.00058468 [validate]: 6.852e-05 Sums bootstrap : 0.000859s : 2.08% type_inference : 0.033503s : 81.02% event_method : 0.000017s : 0.04% auto_monad : 0.000148s : 0.36% graph_reusing : 0.000006s : 0.01% inline : 0.000003s : 0.01% add_attr.add_attr_with_inline.tag_attr : 0.000021s : 0.05% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000004s : 0.01% parallel-infer-symbol : 0.000004s : 0.01% pre_auto_parallel : 0.000035s : 0.09% insert-virtual-dataset : 0.000003s : 0.01% 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 : 0.000032s : 0.08% optimize.rewriter_before_opt_a : 0.000062s : 0.15% optimize.opt_a.expand_dump_flag : 0.000005s : 0.01% optimize.opt_a.switch_simplify : 0.000040s : 0.10% optimize.opt_a.loop_unroll : 0.000025s : 0.06% optimize.opt_a.a_1 : 0.000700s : 1.69% optimize.opt_a.with_stream_mark : 0.000040s : 0.10% optimize.opt_a.recompute_prepare : 0.000023s : 0.05% optimize.opt_a.updatestate_depend_eliminate : 0.000013s : 0.03% optimize.opt_a.updatestate_assign_eliminate : 0.000011s : 0.03% optimize.opt_a.updatestate_loads_eliminate : 0.000010s : 0.02% optimize.opt_a.parameter_eliminate : 0.000003s : 0.01% optimize.opt_a.a_2 : 0.000275s : 0.67% optimize.opt_a.accelerated_algorithm : 0.000022s : 0.05% optimize.opt_a.shard : 0.000006s : 0.01% optimize.opt_a.meta_shard_fg_expand : 0.000005s : 0.01% optimize.opt_a.shard_inline : 0.000019s : 0.05% optimize.opt_a.merge_send_recv : 0.000019s : 0.05% optimize.opt_a.auto_parallel : 0.000018s : 0.04% optimize.opt_a.parallel : 0.000036s : 0.09% optimize.opt_a.flash_sp : 0.000014s : 0.03% optimize.opt_a.merge_comm : 0.000011s : 0.03% optimize.opt_a.allreduce_fusion : 0.000011s : 0.03% optimize.opt_a.matmul_add_comm_reduction : 0.000023s : 0.06% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000001s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000023s : 0.06% optimize.opt_a.virtual_dataset : 0.000024s : 0.06% optimize.opt_a.get_grad_eliminate_ : 0.000019s : 0.05% optimize.opt_a.virtual_output : 0.000018s : 0.04% optimize.opt_a.merge_forward : 0.000011s : 0.03% optimize.opt_a.cell_reuse_recompute_pass : 0.000004s : 0.01% optimize.opt_a.offload_activation : 0.000024s : 0.06% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000038s : 0.09% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.01% optimize.opt_a.before_grad : 0.000031s : 0.07% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000012s : 0.03% optimize.opt_a.meta_fg_expand : 0.000008s : 0.02% optimize.opt_a.flash_sp_send_recv_attached : 0.000004s : 0.01% optimize.opt_a.receive_attached : 0.000004s : 0.01% optimize.opt_a.after_resolve : 0.000039s : 0.10% optimize.opt_a.a_after_grad : 0.000038s : 0.09% optimize.opt_a.renormalize : 0.001377s : 3.33% optimize.opt_a.add_forward_monad_depend : 0.000008s : 0.02% optimize.opt_a.auto_monad_grad : 0.000004s : 0.01% optimize.opt_a.auto_monad_eliminator : 0.000039s : 0.10% optimize.opt_a.cse : 0.000066s : 0.16% optimize.opt_a.a_3 : 0.000137s : 0.33% optimize.py_interpret_to_execute_after_opt_a : 0.000017s : 0.04% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.01% optimize.rewriter_after_opt_a : 0.000158s : 0.38% optimize.convert_after_rewriter : 0.000010s : 0.03% optimize.order_py_execute_after_rewriter : 0.000007s : 0.02% optimize.mutable_eliminate : 0.000843s : 2.04% optimize.opt_b.b_1 : 0.000241s : 0.58% optimize.opt_b.b_2 : 0.000013s : 0.03% optimize.opt_b.updatestate_depend_eliminate : 0.000011s : 0.03% optimize.opt_b.updatestate_assign_eliminate : 0.000005s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000005s : 0.01% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000037s : 0.09% optimize.optimize_parallel_all_gather_comm : 0.000024s : 0.06% optimize.overlap_param_gather : 0.000003s : 0.01% optimize.cconv : 0.000033s : 0.08% optimize.loop_unroll : 0.000551s : 1.33% optimize.opt_after_cconv.c_1 : 0.000065s : 0.16% optimize.opt_after_cconv.parameter_eliminate : 0.000004s : 0.01% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000010s : 0.02% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.01% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.01% optimize.opt_after_cconv.cse : 0.000030s : 0.07% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000018s : 0.04% optimize.tuple_transform.d_1 : 0.000068s : 0.16% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000011s : 0.03% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000078s : 0.19% optimize.cse_after_recomputation.cse : 0.000019s : 0.05% optimize.environ_conv : 0.000011s : 0.03% optimize.swap_dp_allreduce_reducescatter : 0.000008s : 0.02% optimize.bias_add_comm_swap : 0.000003s : 0.01% optimize.label_micro_interleaved_index : 0.000006s : 0.01% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.01% optimize.merge_cast_opt : 0.000001s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 0.01% 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 : 0.01% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.01% 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 : 0.000020s : 0.05% optimize.grouped_pairwise_exchange_alltoall : 0.000001s : 0.00% optimize.offloading_packed_experts : 0.000005s : 0.01% optimize.overlap_recompute_and_grad_model_parallel : 0.000006s : 0.01% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000002s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000002s : 0.00% optimize.overlap_recompute_comm : 0.000002s : 0.01% optimize.overlap_grad_ring_attention : 0.000007s : 0.02% optimize.overlap_grad_flash_sp : 0.000028s : 0.07% optimize.begin_end_overlap_inline : 0.000000s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.01% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000115s : 0.28% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000019s : 0.05% optimize.symbol_engine_optimizer.elim_not_effective : 0.000042s : 0.10% optimize.symbol_engine_optimizer.opt_reshape : 0.000013s : 0.03% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000025s : 0.06% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000003s : 0.01% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000095s : 0.23% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.02% opt_after_jit_grad : 0.000585s : 1.41% validate : 0.000069s : 0.17% Time group info: ------[substitution.] 0.000217 51 3.80% : 0.000008s : 2: substitution.depend_value_elim 10.26% : 0.000022s : 4: substitution.elim_not_effective 3.73% : 0.000008s : 4: substitution.fold_const_symbol 3.70% : 0.000008s : 6: substitution.graph_param_transform 54.58% : 0.000118s : 1: substitution.inline 2.42% : 0.000005s : 8: substitution.j_node_and_user_rematch 3.90% : 0.000008s : 8: substitution.remove_not_recompute_node 2.45% : 0.000005s : 4: substitution.replace_old_param 8.22% : 0.000018s : 6: substitution.updatestate_pure_node_eliminater 6.94% : 0.000015s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.033426 2 96.29% : 0.032187s : 1: type_inference.infer 3.71% : 0.001239s : 1: type_inference.specialize ------[replace.] 0.000020 1 100.00% : 0.000020s : 1: replace.inline ------[match.] 0.000117 1 100.00% : 0.000117s : 1: match.inline ------[predicate.] 0.000229 1421 0.77% : 0.000002s : 13: predicate.accumulaten_eliminater 1.27% : 0.000003s : 6: predicate.ad_related_special_op_eliminate 0.73% : 0.000002s : 12: predicate.addn_check_dump 0.80% : 0.000002s : 13: predicate.addn_zero_filter 0.68% : 0.000002s : 13: predicate.adjust_all_reduce_mul_add 2.17% : 0.000005s : 25: predicate.arithmetic_simplify 0.87% : 0.000002s : 13: predicate.cast_eliminate 0.76% : 0.000002s : 12: predicate.check_bprop_eliminate 0.72% : 0.000002s : 12: predicate.compare_switch_simplify 0.22% : 0.000001s : 6: predicate.const_output_eliminate 0.78% : 0.000002s : 12: predicate.depend_value_elim 0.79% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 0.87% : 0.000002s : 13: predicate.dict_get_item_eliminator 0.74% : 0.000002s : 13: predicate.dict_set_item_eliminator 1.19% : 0.000003s : 12: predicate.dumpgradient_eliminate 0.29% : 0.000001s : 6: predicate.elim_not_effective 0.83% : 0.000002s : 6: predicate.elim_shapecalc_of_broadcastargs 1.10% : 0.000003s : 19: predicate.environ_add_const_eliminate 1.10% : 0.000003s : 19: predicate.environ_get_add_eliminate 1.03% : 0.000002s : 19: predicate.environ_get_depend_swap 1.76% : 0.000004s : 31: predicate.environ_get_eliminate 1.02% : 0.000002s : 19: predicate.environ_get_set_eliminate 0.83% : 0.000002s : 14: predicate.exchange_switch_depend_value 1.59% : 0.000004s : 14: predicate.float_depend_g_call 0.71% : 0.000002s : 12: predicate.float_environ_get_switch 1.08% : 0.000002s : 18: predicate.float_tuple_getitem_switch 0.22% : 0.000001s : 6: predicate.fold_const_symbol 0.88% : 0.000002s : 12: predicate.get_grad_eliminate 0.35% : 0.000001s : 6: predicate.graph_param_transform 0.71% : 0.000002s : 12: predicate.incorporate_call 0.62% : 0.000001s : 12: predicate.incorporate_call_switch 5.81% : 0.000013s : 63: predicate.inline 1.32% : 0.000003s : 12: predicate.inline_without_move 0.41% : 0.000001s : 12: predicate.j_node_and_user_rematch 1.17% : 0.000003s : 12: predicate.less_batch_normalization 1.65% : 0.000004s : 25: predicate.list_to_tuple_eliminator_ 2.12% : 0.000005s : 38: predicate.load_eliminater 1.53% : 0.000004s : 6: predicate.loop_unroll_after_grad 1.25% : 0.000003s : 18: predicate.loop_unroll_before_grad 1.70% : 0.000004s : 25: predicate.make_slice_get_slice_eliminator 0.76% : 0.000002s : 12: predicate.merge_addn 0.70% : 0.000002s : 12: predicate.micro_step_allgather_replace 0.80% : 0.000002s : 12: predicate.mini_step_allgather_replace 0.67% : 0.000002s : 13: predicate.minmaximum_grad 1.63% : 0.000004s : 6: predicate.mutable_eliminate 0.51% : 0.000001s : 6: predicate.opt_reshape 0.58% : 0.000001s : 6: predicate.parallel_virtual_node 1.25% : 0.000003s : 14: predicate.partial_defer_inline 1.21% : 0.000003s : 19: predicate.partial_eliminate 1.00% : 0.000002s : 13: predicate.print_const_string_wrapper 0.73% : 0.000002s : 12: predicate.reduce_all_const_elim 1.21% : 0.000003s : 13: predicate.reduce_eliminate 2.11% : 0.000005s : 38: predicate.redundant_stop_gradient_eliminater 0.68% : 0.000002s : 12: predicate.remove_not_recompute_node 1.15% : 0.000003s : 25: predicate.replace_applicator 0.63% : 0.000001s : 12: predicate.replace_old_param 0.45% : 0.000001s : 6: predicate.reset_defer_inline 0.83% : 0.000002s : 13: predicate.reshape_eliminate 0.93% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.56% : 0.000001s : 6: predicate.row_tensor_eliminate 0.90% : 0.000002s : 12: predicate.same_eliminate 0.49% : 0.000001s : 12: predicate.set_cell_output_no_recompute 1.19% : 0.000003s : 12: predicate.shard_identity_eliminate 0.94% : 0.000002s : 12: predicate.special_op_eliminate 0.90% : 0.000002s : 12: predicate.specialize_transform 1.26% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 1.01% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.50% : 0.000001s : 6: predicate.switch_call_monad_eliminater 0.97% : 0.000002s : 14: predicate.switch_defer_inline 1.59% : 0.000004s : 26: predicate.switch_layer_defer_inline 3.50% : 0.000008s : 50: predicate.switch_simplify 0.80% : 0.000002s : 13: predicate.tile_eliminate 0.79% : 0.000002s : 13: predicate.transpose_eliminate 1.60% : 0.000004s : 25: predicate.tuple_list_convert_item_index_to_positive 1.59% : 0.000004s : 25: predicate.tuple_list_get_item_const_eliminator 1.44% : 0.000003s : 25: predicate.tuple_list_get_item_depend_reorder 3.05% : 0.000007s : 37: predicate.tuple_list_get_item_eliminator 1.72% : 0.000004s : 25: predicate.tuple_list_get_set_item_eliminator 2.55% : 0.000006s : 37: predicate.tuple_list_set_item_eliminator 1.79% : 0.000004s : 25: predicate.tuple_to_list_eliminator_ 2.17% : 0.000005s : 38: predicate.updatestate_pure_node_eliminater 3.47% : 0.000008s : 50: predicate.updatestate_useless_node_eliminater 0.46% : 0.000001s : 6: predicate.value_based_eliminate 0.81% : 0.000002s : 12: predicate.virtual_dataset_eliminate 0.83% : 0.000002s : 12: predicate.virtual_output_eliminate 0.40% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.46% : 0.000001s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000537 4 3.94% : 0.000021s : 1: func_graph_cloner_run.FuncGraphClonerGraph 96.06% : 0.000515s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.062061 192 0.01% : 0.000004s : 1: ForceFp32Comm 7.58% : 0.004703s : 1: add_attr 7.55% : 0.004685s : 1: add_attr_with_inline 0.01% : 0.000004s : 1: add_comm_op_reuse_tag 0.13% : 0.000083s : 1: add_recomputation 0.01% : 0.000004s : 1: assign_add_opt 0.25% : 0.000155s : 1: auto_monad 0.16% : 0.000101s : 1: auto_monad_reorder 0.01% : 0.000003s : 1: begin_end_overlap_inline 0.01% : 0.000006s : 1: bias_add_comm_swap 1.45% : 0.000900s : 1: bootstrap 0.07% : 0.000041s : 1: cconv 0.01% : 0.000005s : 1: comm_op_add_attrs 0.04% : 0.000024s : 1: control_data_broadcast_order 0.02% : 0.000014s : 1: convert_after_rewriter 0.06% : 0.000035s : 1: cse_after_recomputation 0.01% : 0.000005s : 1: dataset_repeat_opt 0.01% : 0.000006s : 1: detach_backward 0.02% : 0.000015s : 1: environ_conv 0.04% : 0.000024s : 1: event_method 0.01% : 0.000006s : 1: full_micro_interleaved_order_control 0.01% : 0.000006s : 1: get_jit_bprop_graph 0.02% : 0.000010s : 1: graph_reusing 0.01% : 0.000004s : 1: grouped_pairwise_exchange_alltoall 0.01% : 0.000004s : 1: handle_group_info 0.01% : 0.000006s : 1: inline 0.01% : 0.000006s : 1: insert-virtual-dataset 0.01% : 0.000004s : 1: interleave_parallel_branches 0.01% : 0.000004s : 1: interleave_split_concat_branches 0.01% : 0.000006s : 1: label_fine_grained_interleaved_index 0.01% : 0.000009s : 1: label_micro_interleaved_index 0.90% : 0.000560s : 1: loop_unroll 0.01% : 0.000005s : 1: merge_cast_opt 0.01% : 0.000006s : 1: micro_interleaved_order_control 1.38% : 0.000855s : 1: mutable_eliminate 0.01% : 0.000009s : 1: offloading_packed_experts 0.04% : 0.000025s : 1: opt.transform.loop_unroll_optimizer 0.04% : 0.000025s : 1: opt.transform.mutable_eliminate 2.21% : 0.001372s : 78: opt.transform.opt_a 0.10% : 0.000063s : 1: opt.transform.opt_after_cconv 0.07% : 0.000042s : 1: opt.transform.opt_after_jit_grad 0.35% : 0.000218s : 28: opt.transform.opt_b 0.12% : 0.000076s : 2: opt.transform.opt_trans_graph 0.15% : 0.000093s : 4: opt.transform.symbol_engine_opt 6.13% : 0.003804s : 1: opt_a 0.29% : 0.000183s : 1: opt_after_cconv 0.96% : 0.000596s : 1: opt_after_jit_grad 0.65% : 0.000405s : 1: opt_b 11.31% : 0.007020s : 1: optimize 0.05% : 0.000028s : 1: optimize_parallel_all_gather_comm 0.02% : 0.000010s : 1: order_py_execute_after_rewriter 0.05% : 0.000032s : 1: overlap_grad_flash_sp 0.01% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.02% : 0.000010s : 1: overlap_grad_ring_attention 0.01% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.01% : 0.000004s : 1: overlap_opt_shard_in_pipeline 0.01% : 0.000006s : 1: overlap_param_gather 0.01% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.01% : 0.000009s : 1: overlap_recompute_and_grad_model_parallel 0.01% : 0.000006s : 1: overlap_recompute_comm 0.01% : 0.000008s : 1: parallel-infer-symbol 0.01% : 0.000004s : 1: parallel-infer-symbol-second 0.01% : 0.000005s : 1: partial_unused_args_eliminate 0.01% : 0.000005s : 1: pipeline_parallel_scheduler 0.01% : 0.000004s : 1: pipeline_split 0.06% : 0.000040s : 1: pre_auto_parallel 0.06% : 0.000036s : 1: py_interpret_to_execute 0.03% : 0.000021s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000004s : 1: remove_cast_before_assign_add 0.04% : 0.000022s : 1: remove_dup_value 1.23% : 0.000766s : 1: renormalize.infer 0.96% : 0.000598s : 1: renormalize.specialize 0.01% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.02% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.26% : 0.000164s : 1: rewriter_after_opt_a 0.11% : 0.000066s : 1: rewriter_before_opt_a 0.01% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.01% : 0.000005s : 1: slice_recompute_activation 0.01% : 0.000005s : 1: split_layernorm_comm 0.01% : 0.000006s : 1: split_matmul_comm_elemetwise 0.02% : 0.000012s : 1: swap_dp_allreduce_reducescatter 0.44% : 0.000273s : 1: symbol_engine_optimizer 0.18% : 0.000111s : 1: tuple_transform 54.02% : 0.033524s : 1: type_inference . [hook] pytest_runtest_teardown:test_group_topk_float16[True-input_param0-float16] tests/st/infer/ops/test_internal_ops/test_group_topk.py::test_group_topk_float16[True-input_param0-float16],max_mem:100.0M TotalTime = 0.0504986, [21] [bootstrap]: 0.00106027 [type_inference]: 0.0353589 [event_method]: 1.931e-05 [auto_monad]: 0.00015906 [graph_reusing]: 6.78998e-06 [inline]: 2.61e-06 [add_attr]: 0.00485887, [1] [add_attr_with_inline]: 0.00484149, [1] [Cycle 1]: 7e-05, [2] [tag_attr]: 1.975e-05 [meta_addattr_fg_expand]: 4.31002e-06 [parallel-infer-symbol]: 4.30999e-06 [pre_auto_parallel]: 3.527e-05 [insert-virtual-dataset]: 2.89999e-06 [parallel-infer-symbol-second]: 6.80011e-07 [dataset_repeat_opt]: 2.48002e-06 [pipeline_split]: 1.62001e-06 [optimize]: 0.00759536, [53] [py_interpret_to_execute]: 3.049e-05 [rewriter_before_opt_a]: 6.449e-05 [opt_a]: 0.00402326, [2] [Cycle 1]: 0.00298039, [45] [expand_dump_flag]: 3.36999e-06 [switch_simplify]: 2.831e-05 [loop_unroll]: 1.721e-05 [a_1]: 0.00049498 [with_stream_mark]: 2.405e-05 [recompute_prepare]: 1.265e-05 [updatestate_depend_eliminate]: 6.69001e-06 [updatestate_assign_eliminate]: 5.70001e-06 [updatestate_loads_eliminate]: 5.04003e-06 [parameter_eliminate]: 2.07001e-06 [a_2]: 0.00015708 [accelerated_algorithm]: 1.141e-05 [shard]: 2.57001e-06 [meta_shard_fg_expand]: 2.44001e-06 [shard_inline]: 1.242e-05 [merge_send_recv]: 1.197e-05 [auto_parallel]: 1.087e-05 [parallel]: 3.067e-05 [flash_sp]: 1.038e-05 [merge_comm]: 6.16998e-06 [allreduce_fusion]: 5.39e-06 [matmul_add_comm_reduction]: 1.317e-05 [allreduce_slice_to_reducescatter]: 1.05001e-06 [virtual_shard_identity]: 1.269e-05 [virtual_dataset]: 1.44e-05 [get_grad_eliminate_]: 1.043e-05 [virtual_output]: 1.049e-05 [merge_forward]: 6.28e-06 [cell_reuse_recompute_pass]: 1.89e-06 [offload_activation]: 1.397e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.627e-05 [merge_recompute_call_nodes]: 1.50999e-06 [before_grad]: 1.785e-05 [set_forward_comm_id_for_comm_node_pass]: 6.05002e-06 [meta_fg_expand]: 4.59002e-06 [flash_sp_send_recv_attached]: 2.71999e-06 [receive_attached]: 2.10002e-06 [after_resolve]: 1.646e-05 [a_after_grad]: 1.805e-05 [renormalize]: 0.00148567 [add_forward_monad_depend]: 9.29998e-06 [auto_monad_grad]: 2.80002e-06 [auto_monad_eliminator]: 2.848e-05 [cse]: 4.79e-05 [a_3]: 8.411e-05 [Cycle 2]: 0.00102896, [45] [expand_dump_flag]: 2.34999e-06 [switch_simplify]: 1.232e-05 [loop_unroll]: 8.97e-06 [a_1]: 0.00022424 [with_stream_mark]: 2.428e-05 [recompute_prepare]: 1.039e-05 [updatestate_depend_eliminate]: 6.53e-06 [updatestate_assign_eliminate]: 5.00001e-06 [updatestate_loads_eliminate]: 5.76998e-06 [parameter_eliminate]: 2.45002e-06 [a_2]: 0.00013345 [accelerated_algorithm]: 1.044e-05 [shard]: 1.56002e-06 [meta_shard_fg_expand]: 2.40002e-06 [shard_inline]: 9.94001e-06 [merge_send_recv]: 1.016e-05 [auto_parallel]: 1.167e-05 [parallel]: 9.41e-06 [flash_sp]: 4.70999e-06 [merge_comm]: 5.84999e-06 [allreduce_fusion]: 5.71e-06 [matmul_add_comm_reduction]: 1.196e-05 [allreduce_slice_to_reducescatter]: 8.70001e-07 [virtual_shard_identity]: 1.266e-05 [virtual_dataset]: 1.102e-05 [get_grad_eliminate_]: 1.024e-05 [virtual_output]: 9.46e-06 [merge_forward]: 7.30998e-06 [cell_reuse_recompute_pass]: 3.33e-06 [offload_activation]: 1.374e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.018e-05 [merge_recompute_call_nodes]: 1.94999e-06 [before_grad]: 2.518e-05 [set_forward_comm_id_for_comm_node_pass]: 6.94999e-06 [meta_fg_expand]: 3.54002e-06 [flash_sp_send_recv_attached]: 1.94e-06 [receive_attached]: 1.99999e-06 [after_resolve]: 1.744e-05 [a_after_grad]: 1.566e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 2.24001e-06 [auto_monad_grad]: 1.71e-06 [auto_monad_eliminator]: 1.521e-05 [cse]: 3.436e-05 [a_3]: 6.574e-05 [py_interpret_to_execute_after_opt_a]: 2.164e-05 [slice_cell_reuse_recomputed_activation]: 2.51e-06 [rewriter_after_opt_a]: 0.00018026 [convert_after_rewriter]: 1.306e-05 [order_py_execute_after_rewriter]: 7.05002e-06 [mutable_eliminate]: 0.00082519 [opt_b]: 0.00046702, [1] [Cycle 1]: 0.00045577, [7] [b_1]: 0.0002522 [b_2]: 1.451e-05 [updatestate_depend_eliminate]: 1.248e-05 [updatestate_assign_eliminate]: 5.24e-06 [updatestate_loads_eliminate]: 5.17e-06 [renormalize]: 5.50004e-07 [cse]: 4.612e-05 [optimize_parallel_all_gather_comm]: 2.956e-05 [overlap_param_gather]: 2.31998e-06 [cconv]: 3.766e-05 [loop_unroll]: 0.00065966 [opt_after_cconv]: 0.0002012, [1] [Cycle 1]: 0.00019155, [7] [c_1]: 7.806e-05 [parameter_eliminate]: 5.87999e-06 [updatestate_depend_eliminate]: 1.182e-05 [updatestate_assign_eliminate]: 5.99e-06 [updatestate_loads_eliminate]: 5.17e-06 [cse]: 3.525e-05 [renormalize]: 6.80011e-07 [remove_dup_value]: 2.022e-05 [tuple_transform]: 0.00012318, [1] [Cycle 1]: 0.0001175, [4] [d_1]: 7.983e-05 [none_parameter_eliminate]: 1.92999e-06 [renormalize]: 1.60013e-07 [switch_simplify]: 1.159e-05 [partial_unused_args_eliminate]: 2.04e-06 [add_recomputation]: 8.825e-05 [cse_after_recomputation]: 4.329e-05, [1] [Cycle 1]: 3.738e-05, [1] [cse]: 2.882e-05 [environ_conv]: 1.49e-05 [swap_dp_allreduce_reducescatter]: 9.15001e-06 [bias_add_comm_swap]: 3.76999e-06 [label_micro_interleaved_index]: 7.15e-06 [label_fine_grained_interleaved_index]: 3.79002e-06 [merge_cast_opt]: 1.70001e-06 [slice_recompute_activation]: 2.59001e-06 [micro_interleaved_order_control]: 2.94001e-06 [assign_add_opt]: 1.57001e-06 [ForceFp32Comm]: 1.24e-06 [remove_cast_before_assign_add]: 1.42999e-06 [full_micro_interleaved_order_control]: 2.51e-06 [reorder_send_recv_between_fp_bp]: 3.33998e-06 [comm_op_add_attrs]: 1.52999e-06 [add_comm_op_reuse_tag]: 1.14998e-06 [interleave_split_concat_branches]: 1.47001e-06 [interleave_parallel_branches]: 1.26002e-06 [overlap_opt_shard_in_pipeline]: 1.24e-06 [overlap_opt_shard_grad_in_pipeline]: 2.16e-06 [control_data_broadcast_order]: 2.295e-05 [grouped_pairwise_exchange_alltoall]: 1.79e-06 [offloading_packed_experts]: 7.16001e-06 [overlap_recompute_and_grad_model_parallel]: 8.52998e-06 [overlap_grad_matmul_and_grad_allreduce]: 2.04e-06 [overlap_recompute_allgather_and_fa_grad]: 2.06e-06 [overlap_recompute_comm]: 2.79999e-06 [overlap_grad_ring_attention]: 6.63998e-06 [overlap_grad_flash_sp]: 3.038e-05 [begin_end_overlap_inline]: 5.00004e-07 [split_matmul_comm_elemetwise]: 2.42001e-06 [split_layernorm_comm]: 2.22001e-06 [handle_group_info]: 1.35999e-06 [symbol_engine_optimizer]: 0.0002824, [1] [Cycle 1]: 0.00026968, [6] [build]: 0.00012541 [elim_shapecalc]: 2.231e-05 [elim_not_effective]: 2.664e-05 [opt_reshape]: 1.385e-05 [fold_const_symbol]: 2.772e-05 [renormalize]: 2.00002e-07 [detach_backward]: 2.71e-06 [pipeline_parallel_scheduler]: 2.20002e-06 [auto_monad_reorder]: 0.00014803 [get_jit_bprop_graph]: 2.52001e-06 [rewriter_after_jit_bprop_graph]: 9.44e-06 [opt_after_jit_grad]: 0.00092876 [validate]: 8.231e-05 Sums bootstrap : 0.001060s : 2.39% type_inference : 0.035359s : 79.79% event_method : 0.000019s : 0.04% auto_monad : 0.000159s : 0.36% graph_reusing : 0.000007s : 0.02% inline : 0.000003s : 0.01% add_attr.add_attr_with_inline.tag_attr : 0.000020s : 0.04% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000004s : 0.01% parallel-infer-symbol : 0.000004s : 0.01% pre_auto_parallel : 0.000035s : 0.08% insert-virtual-dataset : 0.000003s : 0.01% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.01% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000030s : 0.07% optimize.rewriter_before_opt_a : 0.000064s : 0.15% optimize.opt_a.expand_dump_flag : 0.000006s : 0.01% optimize.opt_a.switch_simplify : 0.000041s : 0.09% optimize.opt_a.loop_unroll : 0.000026s : 0.06% optimize.opt_a.a_1 : 0.000719s : 1.62% optimize.opt_a.with_stream_mark : 0.000048s : 0.11% optimize.opt_a.recompute_prepare : 0.000023s : 0.05% optimize.opt_a.updatestate_depend_eliminate : 0.000013s : 0.03% optimize.opt_a.updatestate_assign_eliminate : 0.000011s : 0.02% optimize.opt_a.updatestate_loads_eliminate : 0.000011s : 0.02% optimize.opt_a.parameter_eliminate : 0.000005s : 0.01% optimize.opt_a.a_2 : 0.000291s : 0.66% optimize.opt_a.accelerated_algorithm : 0.000022s : 0.05% optimize.opt_a.shard : 0.000004s : 0.01% optimize.opt_a.meta_shard_fg_expand : 0.000005s : 0.01% optimize.opt_a.shard_inline : 0.000022s : 0.05% optimize.opt_a.merge_send_recv : 0.000022s : 0.05% optimize.opt_a.auto_parallel : 0.000023s : 0.05% optimize.opt_a.parallel : 0.000040s : 0.09% optimize.opt_a.flash_sp : 0.000015s : 0.03% optimize.opt_a.merge_comm : 0.000012s : 0.03% optimize.opt_a.allreduce_fusion : 0.000011s : 0.03% optimize.opt_a.matmul_add_comm_reduction : 0.000025s : 0.06% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000025s : 0.06% optimize.opt_a.virtual_dataset : 0.000025s : 0.06% optimize.opt_a.get_grad_eliminate_ : 0.000021s : 0.05% optimize.opt_a.virtual_output : 0.000020s : 0.05% optimize.opt_a.merge_forward : 0.000014s : 0.03% optimize.opt_a.cell_reuse_recompute_pass : 0.000005s : 0.01% optimize.opt_a.offload_activation : 0.000028s : 0.06% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000046s : 0.10% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.01% optimize.opt_a.before_grad : 0.000043s : 0.10% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000013s : 0.03% optimize.opt_a.meta_fg_expand : 0.000008s : 0.02% optimize.opt_a.flash_sp_send_recv_attached : 0.000005s : 0.01% optimize.opt_a.receive_attached : 0.000004s : 0.01% optimize.opt_a.after_resolve : 0.000034s : 0.08% optimize.opt_a.a_after_grad : 0.000034s : 0.08% optimize.opt_a.renormalize : 0.001486s : 3.35% optimize.opt_a.add_forward_monad_depend : 0.000012s : 0.03% optimize.opt_a.auto_monad_grad : 0.000005s : 0.01% optimize.opt_a.auto_monad_eliminator : 0.000044s : 0.10% optimize.opt_a.cse : 0.000082s : 0.19% optimize.opt_a.a_3 : 0.000150s : 0.34% optimize.py_interpret_to_execute_after_opt_a : 0.000022s : 0.05% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.01% optimize.rewriter_after_opt_a : 0.000180s : 0.41% optimize.convert_after_rewriter : 0.000013s : 0.03% optimize.order_py_execute_after_rewriter : 0.000007s : 0.02% optimize.mutable_eliminate : 0.000825s : 1.86% optimize.opt_b.b_1 : 0.000252s : 0.57% optimize.opt_b.b_2 : 0.000015s : 0.03% optimize.opt_b.updatestate_depend_eliminate : 0.000012s : 0.03% optimize.opt_b.updatestate_assign_eliminate : 0.000005s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000005s : 0.01% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000046s : 0.10% optimize.optimize_parallel_all_gather_comm : 0.000030s : 0.07% optimize.overlap_param_gather : 0.000002s : 0.01% optimize.cconv : 0.000038s : 0.08% optimize.loop_unroll : 0.000660s : 1.49% optimize.opt_after_cconv.c_1 : 0.000078s : 0.18% optimize.opt_after_cconv.parameter_eliminate : 0.000006s : 0.01% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.03% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.01% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.01% optimize.opt_after_cconv.cse : 0.000035s : 0.08% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000020s : 0.05% optimize.tuple_transform.d_1 : 0.000080s : 0.18% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000012s : 0.03% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000088s : 0.20% optimize.cse_after_recomputation.cse : 0.000029s : 0.07% optimize.environ_conv : 0.000015s : 0.03% optimize.swap_dp_allreduce_reducescatter : 0.000009s : 0.02% optimize.bias_add_comm_swap : 0.000004s : 0.01% optimize.label_micro_interleaved_index : 0.000007s : 0.02% optimize.label_fine_grained_interleaved_index : 0.000004s : 0.01% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000003s : 0.01% optimize.micro_interleaved_order_control : 0.000003s : 0.01% 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 : 0.000003s : 0.01% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.01% optimize.comm_op_add_attrs : 0.000002s : 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 : 0.000023s : 0.05% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000007s : 0.02% optimize.overlap_recompute_and_grad_model_parallel : 0.000009s : 0.02% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000002s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000002s : 0.00% optimize.overlap_recompute_comm : 0.000003s : 0.01% optimize.overlap_grad_ring_attention : 0.000007s : 0.01% optimize.overlap_grad_flash_sp : 0.000030s : 0.07% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.01% optimize.split_layernorm_comm : 0.000002s : 0.01% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000125s : 0.28% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000022s : 0.05% optimize.symbol_engine_optimizer.elim_not_effective : 0.000027s : 0.06% optimize.symbol_engine_optimizer.opt_reshape : 0.000014s : 0.03% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000028s : 0.06% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000003s : 0.01% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000148s : 0.33% get_jit_bprop_graph : 0.000003s : 0.01% rewriter_after_jit_bprop_graph : 0.000009s : 0.02% opt_after_jit_grad : 0.000929s : 2.10% validate : 0.000082s : 0.19% Time group info: ------[substitution.] 0.000211 51 4.01% : 0.000008s : 2: substitution.depend_value_elim 2.74% : 0.000006s : 4: substitution.elim_not_effective 5.06% : 0.000011s : 4: substitution.fold_const_symbol 4.00% : 0.000008s : 6: substitution.graph_param_transform 56.30% : 0.000119s : 1: substitution.inline 3.11% : 0.000007s : 8: substitution.j_node_and_user_rematch 4.17% : 0.000009s : 8: substitution.remove_not_recompute_node 2.83% : 0.000006s : 4: substitution.replace_old_param 9.69% : 0.000020s : 6: substitution.updatestate_pure_node_eliminater 8.08% : 0.000017s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.035281 2 96.83% : 0.034164s : 1: type_inference.infer 3.17% : 0.001117s : 1: type_inference.specialize ------[replace.] 0.000022 1 100.00% : 0.000022s : 1: replace.inline ------[match.] 0.000117 1 100.00% : 0.000117s : 1: match.inline ------[predicate.] 0.000245 1421 0.71% : 0.000002s : 13: predicate.accumulaten_eliminater 1.61% : 0.000004s : 6: predicate.ad_related_special_op_eliminate 0.66% : 0.000002s : 12: predicate.addn_check_dump 0.92% : 0.000002s : 13: predicate.addn_zero_filter 0.72% : 0.000002s : 13: predicate.adjust_all_reduce_mul_add 2.17% : 0.000005s : 25: predicate.arithmetic_simplify 0.81% : 0.000002s : 13: predicate.cast_eliminate 0.71% : 0.000002s : 12: predicate.check_bprop_eliminate 0.62% : 0.000002s : 12: predicate.compare_switch_simplify 0.20% : 0.000000s : 6: predicate.const_output_eliminate 0.98% : 0.000002s : 12: predicate.depend_value_elim 0.69% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 0.87% : 0.000002s : 13: predicate.dict_get_item_eliminator 0.70% : 0.000002s : 13: predicate.dict_set_item_eliminator 1.47% : 0.000004s : 12: predicate.dumpgradient_eliminate 0.34% : 0.000001s : 6: predicate.elim_not_effective 0.59% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.12% : 0.000003s : 19: predicate.environ_add_const_eliminate 1.01% : 0.000002s : 19: predicate.environ_get_add_eliminate 0.97% : 0.000002s : 19: predicate.environ_get_depend_swap 1.82% : 0.000004s : 31: predicate.environ_get_eliminate 1.03% : 0.000003s : 19: predicate.environ_get_set_eliminate 0.76% : 0.000002s : 14: predicate.exchange_switch_depend_value 1.43% : 0.000004s : 14: predicate.float_depend_g_call 0.63% : 0.000002s : 12: predicate.float_environ_get_switch 0.97% : 0.000002s : 18: predicate.float_tuple_getitem_switch 0.24% : 0.000001s : 6: predicate.fold_const_symbol 0.86% : 0.000002s : 12: predicate.get_grad_eliminate 0.34% : 0.000001s : 6: predicate.graph_param_transform 0.68% : 0.000002s : 12: predicate.incorporate_call 0.60% : 0.000001s : 12: predicate.incorporate_call_switch 5.90% : 0.000014s : 63: predicate.inline 0.98% : 0.000002s : 12: predicate.inline_without_move 0.37% : 0.000001s : 12: predicate.j_node_and_user_rematch 0.95% : 0.000002s : 12: predicate.less_batch_normalization 1.68% : 0.000004s : 25: predicate.list_to_tuple_eliminator_ 2.11% : 0.000005s : 38: predicate.load_eliminater 2.48% : 0.000006s : 6: predicate.loop_unroll_after_grad 1.11% : 0.000003s : 18: predicate.loop_unroll_before_grad 1.76% : 0.000004s : 25: predicate.make_slice_get_slice_eliminator 0.75% : 0.000002s : 12: predicate.merge_addn 0.67% : 0.000002s : 12: predicate.micro_step_allgather_replace 0.73% : 0.000002s : 12: predicate.mini_step_allgather_replace 0.70% : 0.000002s : 13: predicate.minmaximum_grad 2.45% : 0.000006s : 6: predicate.mutable_eliminate 0.55% : 0.000001s : 6: predicate.opt_reshape 0.59% : 0.000001s : 6: predicate.parallel_virtual_node 1.04% : 0.000003s : 14: predicate.partial_defer_inline 1.17% : 0.000003s : 19: predicate.partial_eliminate 0.89% : 0.000002s : 13: predicate.print_const_string_wrapper 0.75% : 0.000002s : 12: predicate.reduce_all_const_elim 1.12% : 0.000003s : 13: predicate.reduce_eliminate 2.17% : 0.000005s : 38: predicate.redundant_stop_gradient_eliminater 0.66% : 0.000002s : 12: predicate.remove_not_recompute_node 1.08% : 0.000003s : 25: predicate.replace_applicator 0.74% : 0.000002s : 12: predicate.replace_old_param 0.33% : 0.000001s : 6: predicate.reset_defer_inline 0.86% : 0.000002s : 13: predicate.reshape_eliminate 0.82% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.55% : 0.000001s : 6: predicate.row_tensor_eliminate 1.09% : 0.000003s : 12: predicate.same_eliminate 0.48% : 0.000001s : 12: predicate.set_cell_output_no_recompute 1.21% : 0.000003s : 12: predicate.shard_identity_eliminate 1.30% : 0.000003s : 12: predicate.special_op_eliminate 0.82% : 0.000002s : 12: predicate.specialize_transform 1.30% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 1.01% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.52% : 0.000001s : 6: predicate.switch_call_monad_eliminater 0.88% : 0.000002s : 14: predicate.switch_defer_inline 1.41% : 0.000003s : 26: predicate.switch_layer_defer_inline 3.37% : 0.000008s : 50: predicate.switch_simplify 0.71% : 0.000002s : 13: predicate.tile_eliminate 0.75% : 0.000002s : 13: predicate.transpose_eliminate 1.67% : 0.000004s : 25: predicate.tuple_list_convert_item_index_to_positive 1.76% : 0.000004s : 25: predicate.tuple_list_get_item_const_eliminator 1.51% : 0.000004s : 25: predicate.tuple_list_get_item_depend_reorder 3.11% : 0.000008s : 37: predicate.tuple_list_get_item_eliminator 1.64% : 0.000004s : 25: predicate.tuple_list_get_set_item_eliminator 2.36% : 0.000006s : 37: predicate.tuple_list_set_item_eliminator 1.51% : 0.000004s : 25: predicate.tuple_to_list_eliminator_ 2.06% : 0.000005s : 38: predicate.updatestate_pure_node_eliminater 3.08% : 0.000008s : 50: predicate.updatestate_useless_node_eliminater 0.48% : 0.000001s : 6: predicate.value_based_eliminate 0.84% : 0.000002s : 12: predicate.virtual_dataset_eliminate 0.83% : 0.000002s : 12: predicate.virtual_output_eliminate 0.42% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.71% : 0.000002s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000453 4 5.34% : 0.000024s : 1: func_graph_cloner_run.FuncGraphClonerGraph 94.66% : 0.000429s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.066250 192 0.01% : 0.000004s : 1: ForceFp32Comm 7.34% : 0.004866s : 1: add_attr 7.32% : 0.004846s : 1: add_attr_with_inline 0.01% : 0.000004s : 1: add_comm_op_reuse_tag 0.14% : 0.000094s : 1: add_recomputation 0.01% : 0.000005s : 1: assign_add_opt 0.25% : 0.000166s : 1: auto_monad 0.24% : 0.000157s : 1: auto_monad_reorder 0.01% : 0.000004s : 1: begin_end_overlap_inline 0.01% : 0.000007s : 1: bias_add_comm_swap 1.67% : 0.001105s : 1: bootstrap 0.06% : 0.000043s : 1: cconv 0.02% : 0.000015s : 1: comm_op_add_attrs 0.04% : 0.000027s : 1: control_data_broadcast_order 0.03% : 0.000017s : 1: convert_after_rewriter 0.07% : 0.000047s : 1: cse_after_recomputation 0.01% : 0.000005s : 1: dataset_repeat_opt 0.01% : 0.000006s : 1: detach_backward 0.03% : 0.000019s : 1: environ_conv 0.04% : 0.000026s : 1: event_method 0.01% : 0.000006s : 1: full_micro_interleaved_order_control 0.01% : 0.000007s : 1: get_jit_bprop_graph 0.02% : 0.000011s : 1: graph_reusing 0.01% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.01% : 0.000004s : 1: handle_group_info 0.01% : 0.000006s : 1: inline 0.01% : 0.000006s : 1: insert-virtual-dataset 0.01% : 0.000004s : 1: interleave_parallel_branches 0.01% : 0.000005s : 1: interleave_split_concat_branches 0.01% : 0.000008s : 1: label_fine_grained_interleaved_index 0.02% : 0.000011s : 1: label_micro_interleaved_index 1.01% : 0.000671s : 1: loop_unroll 0.01% : 0.000005s : 1: merge_cast_opt 0.01% : 0.000006s : 1: micro_interleaved_order_control 1.26% : 0.000836s : 1: mutable_eliminate 0.04% : 0.000029s : 1: offloading_packed_experts 0.05% : 0.000030s : 1: opt.transform.loop_unroll_optimizer 0.05% : 0.000030s : 1: opt.transform.mutable_eliminate 2.17% : 0.001436s : 78: opt.transform.opt_a 0.11% : 0.000075s : 1: opt.transform.opt_after_cconv 0.09% : 0.000056s : 1: opt.transform.opt_after_jit_grad 0.34% : 0.000228s : 28: opt.transform.opt_b 0.13% : 0.000089s : 2: opt.transform.opt_trans_graph 0.13% : 0.000085s : 4: opt.transform.symbol_engine_opt 6.08% : 0.004028s : 1: opt_a 0.31% : 0.000205s : 1: opt_after_cconv 1.43% : 0.000947s : 1: opt_after_jit_grad 0.71% : 0.000472s : 1: opt_b 11.48% : 0.007603s : 1: optimize 0.05% : 0.000035s : 1: optimize_parallel_all_gather_comm 0.02% : 0.000010s : 1: order_py_execute_after_rewriter 0.05% : 0.000034s : 1: overlap_grad_flash_sp 0.01% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.02% : 0.000010s : 1: overlap_grad_ring_attention 0.01% : 0.000006s : 1: overlap_opt_shard_grad_in_pipeline 0.01% : 0.000005s : 1: overlap_opt_shard_in_pipeline 0.01% : 0.000007s : 1: overlap_param_gather 0.01% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.02% : 0.000013s : 1: overlap_recompute_and_grad_model_parallel 0.01% : 0.000006s : 1: overlap_recompute_comm 0.01% : 0.000008s : 1: parallel-infer-symbol 0.01% : 0.000004s : 1: parallel-infer-symbol-second 0.01% : 0.000006s : 1: partial_unused_args_eliminate 0.01% : 0.000006s : 1: pipeline_parallel_scheduler 0.01% : 0.000004s : 1: pipeline_split 0.06% : 0.000039s : 1: pre_auto_parallel 0.05% : 0.000035s : 1: py_interpret_to_execute 0.04% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000005s : 1: remove_cast_before_assign_add 0.04% : 0.000025s : 1: remove_dup_value 1.34% : 0.000887s : 1: renormalize.infer 0.89% : 0.000587s : 1: renormalize.specialize 0.01% : 0.000007s : 1: reorder_send_recv_between_fp_bp 0.02% : 0.000015s : 1: rewriter_after_jit_bprop_graph 0.28% : 0.000188s : 1: rewriter_after_opt_a 0.10% : 0.000069s : 1: rewriter_before_opt_a 0.01% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.01% : 0.000006s : 1: slice_recompute_activation 0.01% : 0.000005s : 1: split_layernorm_comm 0.02% : 0.000013s : 1: split_matmul_comm_elemetwise 0.02% : 0.000013s : 1: swap_dp_allreduce_reducescatter 0.43% : 0.000286s : 1: symbol_engine_optimizer 0.19% : 0.000127s : 1: tuple_transform 53.41% : 0.035383s : 1: type_inference . [hook] pytest_runtest_teardown:test_group_topk_float16[True-input_param0-bfloat16] tests/st/infer/ops/test_internal_ops/test_group_topk.py::test_group_topk_float16[True-input_param0-bfloat16],max_mem:100.0M TotalTime = 0.104756, [21] [bootstrap]: 0.00104018 [type_inference]: 0.0729547 [event_method]: 0.00424516 [auto_monad]: 0.00022955 [graph_reusing]: 5.82999e-06 [inline]: 3.08e-06 [add_attr]: 0.00924142, [1] [add_attr_with_inline]: 0.00922185, [1] [Cycle 1]: 7.39e-05, [2] [tag_attr]: 2.189e-05 [meta_addattr_fg_expand]: 4.38999e-06 [parallel-infer-symbol]: 4.05998e-06 [pre_auto_parallel]: 3.862e-05 [insert-virtual-dataset]: 2.84999e-06 [parallel-infer-symbol-second]: 7.00005e-07 [dataset_repeat_opt]: 1.91998e-06 [pipeline_split]: 1.95001e-06 [optimize]: 0.0156794, [53] [py_interpret_to_execute]: 3.967e-05 [rewriter_before_opt_a]: 6.994e-05 [opt_a]: 0.00413636, [2] [Cycle 1]: 0.00316198, [45] [expand_dump_flag]: 3.56999e-06 [switch_simplify]: 3.029e-05 [loop_unroll]: 1.562e-05 [a_1]: 0.00052748 [with_stream_mark]: 2.529e-05 [recompute_prepare]: 1.651e-05 [updatestate_depend_eliminate]: 7.67998e-06 [updatestate_assign_eliminate]: 7.4e-06 [updatestate_loads_eliminate]: 5.00001e-06 [parameter_eliminate]: 2.17999e-06 [a_2]: 0.00015762 [accelerated_algorithm]: 1.119e-05 [shard]: 3.07002e-06 [meta_shard_fg_expand]: 2.74999e-06 [shard_inline]: 9.87001e-06 [merge_send_recv]: 1.216e-05 [auto_parallel]: 1.027e-05 [parallel]: 3.28e-05 [flash_sp]: 1.05e-05 [merge_comm]: 5.94999e-06 [allreduce_fusion]: 5.18002e-06 [matmul_add_comm_reduction]: 1.282e-05 [allreduce_slice_to_reducescatter]: 5.60016e-07 [virtual_shard_identity]: 1.247e-05 [virtual_dataset]: 1.109e-05 [get_grad_eliminate_]: 1.055e-05 [virtual_output]: 9.97999e-06 [merge_forward]: 5.77999e-06 [cell_reuse_recompute_pass]: 1.74998e-06 [offload_activation]: 1.31e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.089e-05 [merge_recompute_call_nodes]: 1.64e-06 [before_grad]: 1.744e-05 [set_forward_comm_id_for_comm_node_pass]: 5.71e-06 [meta_fg_expand]: 4.05e-06 [flash_sp_send_recv_attached]: 2.67001e-06 [receive_attached]: 2.62001e-06 [after_resolve]: 1.749e-05 [a_after_grad]: 1.757e-05 [renormalize]: 0.00165404 [add_forward_monad_depend]: 7.34002e-06 [auto_monad_grad]: 2.68e-06 [auto_monad_eliminator]: 2.434e-05 [cse]: 4.654e-05 [a_3]: 7.905e-05 [Cycle 2]: 0.00096151, [45] [expand_dump_flag]: 2.01e-06 [switch_simplify]: 1.097e-05 [loop_unroll]: 9.36e-06 [a_1]: 0.00024023 [with_stream_mark]: 1.741e-05 [recompute_prepare]: 1.089e-05 [updatestate_depend_eliminate]: 5.54998e-06 [updatestate_assign_eliminate]: 4.85001e-06 [updatestate_loads_eliminate]: 4.95001e-06 [parameter_eliminate]: 1.76e-06 [a_2]: 0.00013429 [accelerated_algorithm]: 9.45001e-06 [shard]: 1.82999e-06 [meta_shard_fg_expand]: 1.94e-06 [shard_inline]: 9.51e-06 [merge_send_recv]: 7.81001e-06 [auto_parallel]: 1.01e-05 [parallel]: 7.2e-06 [flash_sp]: 3.46999e-06 [merge_comm]: 5.68997e-06 [allreduce_fusion]: 4.84e-06 [matmul_add_comm_reduction]: 9.71003e-06 [allreduce_slice_to_reducescatter]: 7.50006e-07 [virtual_shard_identity]: 9.81998e-06 [virtual_dataset]: 8.83001e-06 [get_grad_eliminate_]: 8.37e-06 [virtual_output]: 8.42e-06 [merge_forward]: 5.56e-06 [cell_reuse_recompute_pass]: 2.05002e-06 [offload_activation]: 1.004e-05 [cell_reuse_handle_not_recompute_node_pass]: 1.632e-05 [merge_recompute_call_nodes]: 9.89996e-07 [before_grad]: 2.117e-05 [set_forward_comm_id_for_comm_node_pass]: 5.92999e-06 [meta_fg_expand]: 3.11999e-06 [flash_sp_send_recv_attached]: 1.35999e-06 [receive_attached]: 1.71e-06 [after_resolve]: 1.52e-05 [a_after_grad]: 1.613e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 1.45999e-06 [auto_monad_grad]: 1.55999e-06 [auto_monad_eliminator]: 1.214e-05 [cse]: 2.406e-05 [a_3]: 6.263e-05 [py_interpret_to_execute_after_opt_a]: 1.611e-05 [slice_cell_reuse_recomputed_activation]: 2.20002e-06 [rewriter_after_opt_a]: 0.00017241 [convert_after_rewriter]: 9.91e-06 [order_py_execute_after_rewriter]: 7.1e-06 [mutable_eliminate]: 0.00076322 [opt_b]: 0.00037914, [1] [Cycle 1]: 0.0003707, [7] [b_1]: 0.00023489 [b_2]: 1.249e-05 [updatestate_depend_eliminate]: 9.39998e-06 [updatestate_assign_eliminate]: 4.77e-06 [updatestate_loads_eliminate]: 5.14003e-06 [renormalize]: 5.69999e-07 [cse]: 5.257e-05 [optimize_parallel_all_gather_comm]: 2.51e-05 [overlap_param_gather]: 2.86e-06 [cconv]: 2.984e-05 [loop_unroll]: 0.00049307 [opt_after_cconv]: 0.00015926, [1] [Cycle 1]: 0.00015194, [7] [c_1]: 6.464e-05 [parameter_eliminate]: 3.02002e-06 [updatestate_depend_eliminate]: 7.46999e-06 [updatestate_assign_eliminate]: 4.68001e-06 [updatestate_loads_eliminate]: 5.02e-06 [cse]: 2.52e-05 [renormalize]: 3.50003e-07 [remove_dup_value]: 0.00828543 [tuple_transform]: 0.00018716, [1] [Cycle 1]: 0.00017313, [4] [d_1]: 0.0001162 [none_parameter_eliminate]: 6.51e-06 [renormalize]: 9.79984e-07 [switch_simplify]: 1.195e-05 [partial_unused_args_eliminate]: 2.62001e-06 [add_recomputation]: 0.00010523 [cse_after_recomputation]: 6.526e-05, [1] [Cycle 1]: 5.927e-05, [1] [cse]: 5.074e-05 [environ_conv]: 1.736e-05 [swap_dp_allreduce_reducescatter]: 8.70001e-06 [bias_add_comm_swap]: 3.86001e-06 [label_micro_interleaved_index]: 7.70998e-06 [label_fine_grained_interleaved_index]: 3.09999e-06 [merge_cast_opt]: 1.63002e-06 [slice_recompute_activation]: 2.07999e-06 [micro_interleaved_order_control]: 2.57001e-06 [assign_add_opt]: 2.16e-06 [ForceFp32Comm]: 1.17e-06 [remove_cast_before_assign_add]: 1.05001e-06 [full_micro_interleaved_order_control]: 2.22001e-06 [reorder_send_recv_between_fp_bp]: 2.75997e-06 [comm_op_add_attrs]: 1.34e-06 [add_comm_op_reuse_tag]: 1.29e-06 [interleave_split_concat_branches]: 1.69e-06 [interleave_parallel_branches]: 1.17e-06 [overlap_opt_shard_in_pipeline]: 3.06999e-06 [overlap_opt_shard_grad_in_pipeline]: 2.68e-06 [control_data_broadcast_order]: 2.438e-05 [grouped_pairwise_exchange_alltoall]: 1.66998e-06 [offloading_packed_experts]: 6.06e-06 [overlap_recompute_and_grad_model_parallel]: 6.68e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.34e-06 [overlap_recompute_allgather_and_fa_grad]: 1.83002e-06 [overlap_recompute_comm]: 2.58998e-06 [overlap_grad_ring_attention]: 5.97001e-06 [overlap_grad_flash_sp]: 3.22e-05 [begin_end_overlap_inline]: 7.60017e-07 [split_matmul_comm_elemetwise]: 2.86999e-06 [split_layernorm_comm]: 1.75001e-06 [handle_group_info]: 1.26997e-06 [symbol_engine_optimizer]: 0.00026171, [1] [Cycle 1]: 0.00025621, [6] [build]: 0.00013174 [elim_shapecalc]: 1.964e-05 [elim_not_effective]: 2.54e-05 [opt_reshape]: 1.269e-05 [fold_const_symbol]: 2.315e-05 [renormalize]: 3.80009e-07 [detach_backward]: 3.04999e-06 [pipeline_parallel_scheduler]: 1.69e-06 [auto_monad_reorder]: 0.00014086 [get_jit_bprop_graph]: 1.89e-06 [rewriter_after_jit_bprop_graph]: 8.52e-06 [opt_after_jit_grad]: 0.0008413 [validate]: 6.702e-05 Sums bootstrap : 0.001040s : 1.10% type_inference : 0.072955s : 77.39% event_method : 0.004245s : 4.50% auto_monad : 0.000230s : 0.24% graph_reusing : 0.000006s : 0.01% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000022s : 0.02% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000004s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000039s : 0.04% 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 : 0.000040s : 0.04% optimize.rewriter_before_opt_a : 0.000070s : 0.07% optimize.opt_a.expand_dump_flag : 0.000006s : 0.01% optimize.opt_a.switch_simplify : 0.000041s : 0.04% optimize.opt_a.loop_unroll : 0.000025s : 0.03% optimize.opt_a.a_1 : 0.000768s : 0.81% optimize.opt_a.with_stream_mark : 0.000043s : 0.05% optimize.opt_a.recompute_prepare : 0.000027s : 0.03% optimize.opt_a.updatestate_depend_eliminate : 0.000013s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000012s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000010s : 0.01% optimize.opt_a.parameter_eliminate : 0.000004s : 0.00% optimize.opt_a.a_2 : 0.000292s : 0.31% optimize.opt_a.accelerated_algorithm : 0.000021s : 0.02% optimize.opt_a.shard : 0.000005s : 0.01% optimize.opt_a.meta_shard_fg_expand : 0.000005s : 0.00% optimize.opt_a.shard_inline : 0.000019s : 0.02% optimize.opt_a.merge_send_recv : 0.000020s : 0.02% optimize.opt_a.auto_parallel : 0.000020s : 0.02% optimize.opt_a.parallel : 0.000040s : 0.04% optimize.opt_a.flash_sp : 0.000014s : 0.01% optimize.opt_a.merge_comm : 0.000012s : 0.01% optimize.opt_a.allreduce_fusion : 0.000010s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000023s : 0.02% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000001s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000022s : 0.02% optimize.opt_a.virtual_dataset : 0.000020s : 0.02% optimize.opt_a.get_grad_eliminate_ : 0.000019s : 0.02% optimize.opt_a.virtual_output : 0.000018s : 0.02% optimize.opt_a.merge_forward : 0.000011s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% optimize.opt_a.offload_activation : 0.000023s : 0.02% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000037s : 0.04% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000039s : 0.04% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000012s : 0.01% optimize.opt_a.meta_fg_expand : 0.000007s : 0.01% optimize.opt_a.flash_sp_send_recv_attached : 0.000004s : 0.00% optimize.opt_a.receive_attached : 0.000004s : 0.00% optimize.opt_a.after_resolve : 0.000033s : 0.03% optimize.opt_a.a_after_grad : 0.000034s : 0.04% optimize.opt_a.renormalize : 0.001654s : 1.75% optimize.opt_a.add_forward_monad_depend : 0.000009s : 0.01% optimize.opt_a.auto_monad_grad : 0.000004s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000036s : 0.04% optimize.opt_a.cse : 0.000071s : 0.07% optimize.opt_a.a_3 : 0.000142s : 0.15% optimize.py_interpret_to_execute_after_opt_a : 0.000016s : 0.02% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000172s : 0.18% optimize.convert_after_rewriter : 0.000010s : 0.01% optimize.order_py_execute_after_rewriter : 0.000007s : 0.01% optimize.mutable_eliminate : 0.000763s : 0.81% optimize.opt_b.b_1 : 0.000235s : 0.25% optimize.opt_b.b_2 : 0.000012s : 0.01% optimize.opt_b.updatestate_depend_eliminate : 0.000009s : 0.01% optimize.opt_b.updatestate_assign_eliminate : 0.000005s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000005s : 0.01% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000053s : 0.06% optimize.optimize_parallel_all_gather_comm : 0.000025s : 0.03% optimize.overlap_param_gather : 0.000003s : 0.00% optimize.cconv : 0.000030s : 0.03% optimize.loop_unroll : 0.000493s : 0.52% optimize.opt_after_cconv.c_1 : 0.000065s : 0.07% optimize.opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000007s : 0.01% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.01% optimize.opt_after_cconv.cse : 0.000025s : 0.03% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.008285s : 8.79% optimize.tuple_transform.d_1 : 0.000116s : 0.12% optimize.tuple_transform.none_parameter_eliminate : 0.000007s : 0.01% optimize.tuple_transform.renormalize : 0.000001s : 0.00% optimize.tuple_transform.switch_simplify : 0.000012s : 0.01% optimize.partial_unused_args_eliminate : 0.000003s : 0.00% optimize.add_recomputation : 0.000105s : 0.11% optimize.cse_after_recomputation.cse : 0.000051s : 0.05% optimize.environ_conv : 0.000017s : 0.02% optimize.swap_dp_allreduce_reducescatter : 0.000009s : 0.01% optimize.bias_add_comm_swap : 0.000004s : 0.00% optimize.label_micro_interleaved_index : 0.000008s : 0.01% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000002s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000002s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.00% optimize.comm_op_add_attrs : 0.000001s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000002s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000003s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000003s : 0.00% optimize.control_data_broadcast_order : 0.000024s : 0.03% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000006s : 0.01% optimize.overlap_recompute_and_grad_model_parallel : 0.000007s : 0.01% 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 : 0.000006s : 0.01% optimize.overlap_grad_flash_sp : 0.000032s : 0.03% 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 : 0.000132s : 0.14% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000020s : 0.02% optimize.symbol_engine_optimizer.elim_not_effective : 0.000025s : 0.03% optimize.symbol_engine_optimizer.opt_reshape : 0.000013s : 0.01% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000023s : 0.02% 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 : 0.000141s : 0.15% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.01% opt_after_jit_grad : 0.000841s : 0.89% validate : 0.000067s : 0.07% Time group info: ------[substitution.] 0.000228 51 3.57% : 0.000008s : 2: substitution.depend_value_elim 3.03% : 0.000007s : 4: substitution.elim_not_effective 4.01% : 0.000009s : 4: substitution.fold_const_symbol 5.08% : 0.000012s : 6: substitution.graph_param_transform 62.80% : 0.000143s : 1: substitution.inline 2.29% : 0.000005s : 8: substitution.j_node_and_user_rematch 3.59% : 0.000008s : 8: substitution.remove_not_recompute_node 2.15% : 0.000005s : 4: substitution.replace_old_param 6.67% : 0.000015s : 6: substitution.updatestate_pure_node_eliminater 6.80% : 0.000016s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.072870 2 98.33% : 0.071654s : 1: type_inference.infer 1.67% : 0.001216s : 1: type_inference.specialize ------[replace.] 0.000024 1 100.00% : 0.000024s : 1: replace.inline ------[match.] 0.000142 1 100.00% : 0.000142s : 1: match.inline ------[predicate.] 0.000263 1421 0.77% : 0.000002s : 13: predicate.accumulaten_eliminater 0.99% : 0.000003s : 6: predicate.ad_related_special_op_eliminate 0.63% : 0.000002s : 12: predicate.addn_check_dump 0.72% : 0.000002s : 13: predicate.addn_zero_filter 9.80% : 0.000026s : 13: predicate.adjust_all_reduce_mul_add 1.94% : 0.000005s : 25: predicate.arithmetic_simplify 0.70% : 0.000002s : 13: predicate.cast_eliminate 0.96% : 0.000003s : 12: predicate.check_bprop_eliminate 0.58% : 0.000002s : 12: predicate.compare_switch_simplify 0.19% : 0.000001s : 6: predicate.const_output_eliminate 0.77% : 0.000002s : 12: predicate.depend_value_elim 0.71% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 0.72% : 0.000002s : 13: predicate.dict_get_item_eliminator 0.63% : 0.000002s : 13: predicate.dict_set_item_eliminator 1.00% : 0.000003s : 12: predicate.dumpgradient_eliminate 0.30% : 0.000001s : 6: predicate.elim_not_effective 0.55% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 0.94% : 0.000002s : 19: predicate.environ_add_const_eliminate 0.84% : 0.000002s : 19: predicate.environ_get_add_eliminate 0.91% : 0.000002s : 19: predicate.environ_get_depend_swap 1.67% : 0.000004s : 31: predicate.environ_get_eliminate 0.89% : 0.000002s : 19: predicate.environ_get_set_eliminate 0.66% : 0.000002s : 14: predicate.exchange_switch_depend_value 1.43% : 0.000004s : 14: predicate.float_depend_g_call 0.63% : 0.000002s : 12: predicate.float_environ_get_switch 0.87% : 0.000002s : 18: predicate.float_tuple_getitem_switch 0.19% : 0.000001s : 6: predicate.fold_const_symbol 0.77% : 0.000002s : 12: predicate.get_grad_eliminate 0.46% : 0.000001s : 6: predicate.graph_param_transform 0.69% : 0.000002s : 12: predicate.incorporate_call 0.60% : 0.000002s : 12: predicate.incorporate_call_switch 7.88% : 0.000021s : 63: predicate.inline 0.81% : 0.000002s : 12: predicate.inline_without_move 0.36% : 0.000001s : 12: predicate.j_node_and_user_rematch 0.85% : 0.000002s : 12: predicate.less_batch_normalization 1.86% : 0.000005s : 25: predicate.list_to_tuple_eliminator_ 1.85% : 0.000005s : 38: predicate.load_eliminater 1.02% : 0.000003s : 6: predicate.loop_unroll_after_grad 1.25% : 0.000003s : 18: predicate.loop_unroll_before_grad 1.58% : 0.000004s : 25: predicate.make_slice_get_slice_eliminator 0.70% : 0.000002s : 12: predicate.merge_addn 0.73% : 0.000002s : 12: predicate.micro_step_allgather_replace 0.79% : 0.000002s : 12: predicate.mini_step_allgather_replace 0.60% : 0.000002s : 13: predicate.minmaximum_grad 1.15% : 0.000003s : 6: predicate.mutable_eliminate 0.48% : 0.000001s : 6: predicate.opt_reshape 0.52% : 0.000001s : 6: predicate.parallel_virtual_node 1.00% : 0.000003s : 14: predicate.partial_defer_inline 1.13% : 0.000003s : 19: predicate.partial_eliminate 0.69% : 0.000002s : 13: predicate.print_const_string_wrapper 0.72% : 0.000002s : 12: predicate.reduce_all_const_elim 0.97% : 0.000003s : 13: predicate.reduce_eliminate 1.89% : 0.000005s : 38: predicate.redundant_stop_gradient_eliminater 0.60% : 0.000002s : 12: predicate.remove_not_recompute_node 0.99% : 0.000003s : 25: predicate.replace_applicator 0.62% : 0.000002s : 12: predicate.replace_old_param 0.39% : 0.000001s : 6: predicate.reset_defer_inline 0.76% : 0.000002s : 13: predicate.reshape_eliminate 0.65% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.42% : 0.000001s : 6: predicate.row_tensor_eliminate 0.84% : 0.000002s : 12: predicate.same_eliminate 0.51% : 0.000001s : 12: predicate.set_cell_output_no_recompute 0.84% : 0.000002s : 12: predicate.shard_identity_eliminate 0.86% : 0.000002s : 12: predicate.special_op_eliminate 0.78% : 0.000002s : 12: predicate.specialize_transform 1.04% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 0.81% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.39% : 0.000001s : 6: predicate.switch_call_monad_eliminater 0.76% : 0.000002s : 14: predicate.switch_defer_inline 1.31% : 0.000003s : 26: predicate.switch_layer_defer_inline 3.11% : 0.000008s : 50: predicate.switch_simplify 0.71% : 0.000002s : 13: predicate.tile_eliminate 0.81% : 0.000002s : 13: predicate.transpose_eliminate 1.51% : 0.000004s : 25: predicate.tuple_list_convert_item_index_to_positive 1.56% : 0.000004s : 25: predicate.tuple_list_get_item_const_eliminator 1.52% : 0.000004s : 25: predicate.tuple_list_get_item_depend_reorder 3.21% : 0.000008s : 37: predicate.tuple_list_get_item_eliminator 1.45% : 0.000004s : 25: predicate.tuple_list_get_set_item_eliminator 2.30% : 0.000006s : 37: predicate.tuple_list_set_item_eliminator 1.50% : 0.000004s : 25: predicate.tuple_to_list_eliminator_ 1.89% : 0.000005s : 38: predicate.updatestate_pure_node_eliminater 2.93% : 0.000008s : 50: predicate.updatestate_useless_node_eliminater 0.42% : 0.000001s : 6: predicate.value_based_eliminate 0.71% : 0.000002s : 12: predicate.virtual_dataset_eliminate 0.65% : 0.000002s : 12: predicate.virtual_output_eliminate 0.33% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.45% : 0.000001s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000458 4 4.15% : 0.000019s : 1: func_graph_cloner_run.FuncGraphClonerGraph 95.85% : 0.000439s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.133121 192 0.00% : 0.000004s : 1: ForceFp32Comm 6.95% : 0.009248s : 1: add_attr 6.93% : 0.009226s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.08% : 0.000110s : 1: add_recomputation 0.00% : 0.000005s : 1: assign_add_opt 0.18% : 0.000241s : 1: auto_monad 0.11% : 0.000147s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.01% : 0.000007s : 1: bias_add_comm_swap 0.82% : 0.001086s : 1: bootstrap 0.03% : 0.000034s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.02% : 0.000028s : 1: control_data_broadcast_order 0.01% : 0.000013s : 1: convert_after_rewriter 0.05% : 0.000069s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.01% : 0.000007s : 1: detach_backward 0.02% : 0.000021s : 1: environ_conv 3.21% : 0.004278s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.01% : 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% : 0.000007s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000005s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.01% : 0.000012s : 1: label_micro_interleaved_index 0.38% : 0.000502s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.58% : 0.000774s : 1: mutable_eliminate 0.01% : 0.000010s : 1: offloading_packed_experts 0.01% : 0.000020s : 1: opt.transform.loop_unroll_optimizer 0.02% : 0.000021s : 1: opt.transform.mutable_eliminate 1.09% : 0.001455s : 78: opt.transform.opt_a 0.05% : 0.000063s : 1: opt.transform.opt_after_cconv 0.03% : 0.000042s : 1: opt.transform.opt_after_jit_grad 0.16% : 0.000212s : 28: opt.transform.opt_b 0.09% : 0.000120s : 2: opt.transform.opt_trans_graph 0.06% : 0.000076s : 4: opt.transform.symbol_engine_opt 3.11% : 0.004140s : 1: opt_a 0.12% : 0.000163s : 1: opt_after_cconv 0.64% : 0.000852s : 1: opt_after_jit_grad 0.29% : 0.000383s : 1: opt_b 11.78% : 0.015687s : 1: optimize 0.02% : 0.000030s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000010s : 1: order_py_execute_after_rewriter 0.03% : 0.000036s : 1: overlap_grad_flash_sp 0.00% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.01% : 0.000009s : 1: overlap_grad_ring_attention 0.00% : 0.000006s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000006s : 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 0.01% : 0.000010s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.01% : 0.000008s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.03% : 0.000043s : 1: pre_auto_parallel 0.03% : 0.000044s : 1: py_interpret_to_execute 0.01% : 0.000019s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 6.25% : 0.008323s : 1: remove_dup_value 0.82% : 0.001096s : 1: renormalize.infer 0.41% : 0.000546s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.01% : 0.000014s : 1: rewriter_after_jit_bprop_graph 0.13% : 0.000178s : 1: rewriter_after_opt_a 0.06% : 0.000074s : 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 0.01% : 0.000007s : 1: split_matmul_comm_elemetwise 0.01% : 0.000012s : 1: swap_dp_allreduce_reducescatter 0.20% : 0.000265s : 1: symbol_engine_optimizer 0.14% : 0.000193s : 1: tuple_transform 54.82% : 0.072981s : 1: type_inference . [hook] pytest_runtest_teardown:test_group_topk_float16[True-input_param1-float16] tests/st/infer/ops/test_internal_ops/test_group_topk.py::test_group_topk_float16[True-input_param1-float16],max_mem:102.0M TotalTime = 0.099038, [21] [bootstrap]: 0.00098589 [type_inference]: 0.0716971 [event_method]: 1.951e-05 [auto_monad]: 0.00016349 [graph_reusing]: 6.24999e-06 [inline]: 3.57997e-06 [add_attr]: 0.00894966, [1] [add_attr_with_inline]: 0.00893336, [1] [Cycle 1]: 7.474e-05, [2] [tag_attr]: 2.269e-05 [meta_addattr_fg_expand]: 4.03999e-06 [parallel-infer-symbol]: 3.98001e-06 [pre_auto_parallel]: 3.878e-05 [insert-virtual-dataset]: 3.29001e-06 [parallel-infer-symbol-second]: 7.90023e-07 [dataset_repeat_opt]: 1.89e-06 [pipeline_split]: 1.82999e-06 [optimize]: 0.0161243, [53] [py_interpret_to_execute]: 4.027e-05 [rewriter_before_opt_a]: 6.701e-05 [opt_a]: 0.00829997, [2] [Cycle 1]: 0.00725981, [45] [expand_dump_flag]: 4.43001e-06 [switch_simplify]: 3.145e-05 [loop_unroll]: 1.713e-05 [a_1]: 0.0005335 [with_stream_mark]: 2.512e-05 [recompute_prepare]: 1.639e-05 [updatestate_depend_eliminate]: 7.71001e-06 [updatestate_assign_eliminate]: 6.11e-06 [updatestate_loads_eliminate]: 5.21002e-06 [parameter_eliminate]: 2.13998e-06 [a_2]: 0.00016273 [accelerated_algorithm]: 1.25e-05 [shard]: 2.84001e-06 [meta_shard_fg_expand]: 2.69001e-06 [shard_inline]: 9.67999e-06 [merge_send_recv]: 1.142e-05 [auto_parallel]: 1.379e-05 [parallel]: 2.865e-05 [flash_sp]: 1.2e-05 [merge_comm]: 5.47999e-06 [allreduce_fusion]: 6.64999e-06 [matmul_add_comm_reduction]: 1.398e-05 [allreduce_slice_to_reducescatter]: 8.59989e-07 [virtual_shard_identity]: 1.649e-05 [virtual_dataset]: 1.508e-05 [get_grad_eliminate_]: 1.199e-05 [virtual_output]: 1.157e-05 [merge_forward]: 7.09001e-06 [cell_reuse_recompute_pass]: 1.51998e-06 [offload_activation]: 1.41e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.762e-05 [merge_recompute_call_nodes]: 1.55999e-06 [before_grad]: 1.804e-05 [set_forward_comm_id_for_comm_node_pass]: 7.46001e-06 [meta_fg_expand]: 4.13999e-06 [flash_sp_send_recv_attached]: 3.72998e-06 [receive_attached]: 2.60997e-06 [after_resolve]: 1.693e-05 [a_after_grad]: 1.837e-05 [renormalize]: 0.00567956 [add_forward_monad_depend]: 9.46e-06 [auto_monad_grad]: 3.26001e-06 [auto_monad_eliminator]: 2.871e-05 [cse]: 4.798e-05 [a_3]: 8.861e-05 [Cycle 2]: 0.00102581, [45] [expand_dump_flag]: 2.46998e-06 [switch_simplify]: 1.135e-05 [loop_unroll]: 9.66e-06 [a_1]: 0.0002266 [with_stream_mark]: 2.248e-05 [recompute_prepare]: 1.068e-05 [updatestate_depend_eliminate]: 6.89999e-06 [updatestate_assign_eliminate]: 5.42001e-06 [updatestate_loads_eliminate]: 5.10999e-06 [parameter_eliminate]: 2.27999e-06 [a_2]: 0.00013082 [accelerated_algorithm]: 1.061e-05 [shard]: 3.12002e-06 [meta_shard_fg_expand]: 2.90002e-06 [shard_inline]: 9.44998e-06 [merge_send_recv]: 1.081e-05 [auto_parallel]: 1.289e-05 [parallel]: 1.031e-05 [flash_sp]: 3.96001e-06 [merge_comm]: 5.88002e-06 [allreduce_fusion]: 5.48002e-06 [matmul_add_comm_reduction]: 1.285e-05 [allreduce_slice_to_reducescatter]: 6.09987e-07 [virtual_shard_identity]: 1.197e-05 [virtual_dataset]: 1e-05 [get_grad_eliminate_]: 9.68002e-06 [virtual_output]: 9.79999e-06 [merge_forward]: 6.39999e-06 [cell_reuse_recompute_pass]: 3.38e-06 [offload_activation]: 1.289e-05 [cell_reuse_handle_not_recompute_node_pass]: 1.941e-05 [merge_recompute_call_nodes]: 1.59998e-06 [before_grad]: 1.6e-05 [set_forward_comm_id_for_comm_node_pass]: 6.21e-06 [meta_fg_expand]: 4.33999e-06 [flash_sp_send_recv_attached]: 1.89999e-06 [receive_attached]: 2.48002e-06 [after_resolve]: 2.525e-05 [a_after_grad]: 1.866e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.10002e-06 [auto_monad_grad]: 1.71998e-06 [auto_monad_eliminator]: 1.591e-05 [cse]: 2.749e-05 [a_3]: 6.588e-05 [py_interpret_to_execute_after_opt_a]: 2.05e-05 [slice_cell_reuse_recomputed_activation]: 2.91e-06 [rewriter_after_opt_a]: 0.00018454 [convert_after_rewriter]: 1.16e-05 [order_py_execute_after_rewriter]: 7.28999e-06 [mutable_eliminate]: 0.00086184 [opt_b]: 0.00460816, [1] [Cycle 1]: 0.00459495, [7] [b_1]: 0.00027774 [b_2]: 1.39e-05 [updatestate_depend_eliminate]: 1.331e-05 [updatestate_assign_eliminate]: 5.44998e-06 [updatestate_loads_eliminate]: 2.579e-05 [renormalize]: 8.00006e-07 [cse]: 6.276e-05 [optimize_parallel_all_gather_comm]: 3.418e-05 [overlap_param_gather]: 4.84e-06 [cconv]: 4.382e-05 [loop_unroll]: 0.00079918 [opt_after_cconv]: 0.00020697, [1] [Cycle 1]: 0.00019692, [7] [c_1]: 8.46e-05 [parameter_eliminate]: 6.08002e-06 [updatestate_depend_eliminate]: 1.228e-05 [updatestate_assign_eliminate]: 5.99999e-06 [updatestate_loads_eliminate]: 4.60001e-06 [cse]: 3.506e-05 [renormalize]: 5.10016e-07 [remove_dup_value]: 2.207e-05 [tuple_transform]: 0.00011398, [1] [Cycle 1]: 0.00010852, [4] [d_1]: 7.491e-05 [none_parameter_eliminate]: 1.75001e-06 [renormalize]: 1.59984e-07 [switch_simplify]: 1.03e-05 [partial_unused_args_eliminate]: 2.13002e-06 [add_recomputation]: 8.844e-05 [cse_after_recomputation]: 3.758e-05, [1] [Cycle 1]: 3.193e-05, [1] [cse]: 2.248e-05 [environ_conv]: 1.197e-05 [swap_dp_allreduce_reducescatter]: 8.25999e-06 [bias_add_comm_swap]: 3.61999e-06 [label_micro_interleaved_index]: 6.23998e-06 [label_fine_grained_interleaved_index]: 3.32002e-06 [merge_cast_opt]: 1.45999e-06 [slice_recompute_activation]: 2.08998e-06 [micro_interleaved_order_control]: 3.06999e-06 [assign_add_opt]: 1.53002e-06 [ForceFp32Comm]: 9.80013e-07 [remove_cast_before_assign_add]: 1.19e-06 [full_micro_interleaved_order_control]: 2.32001e-06 [reorder_send_recv_between_fp_bp]: 3.17002e-06 [comm_op_add_attrs]: 1.00001e-06 [add_comm_op_reuse_tag]: 9.29984e-07 [interleave_split_concat_branches]: 1.42e-06 [interleave_parallel_branches]: 1.20001e-06 [overlap_opt_shard_in_pipeline]: 1.24e-06 [overlap_opt_shard_grad_in_pipeline]: 2.18002e-06 [control_data_broadcast_order]: 2.134e-05 [grouped_pairwise_exchange_alltoall]: 2.24999e-06 [offloading_packed_experts]: 5.69e-06 [overlap_recompute_and_grad_model_parallel]: 6.29999e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.34e-06 [overlap_recompute_allgather_and_fa_grad]: 1.84998e-06 [overlap_recompute_comm]: 2.82002e-06 [overlap_grad_ring_attention]: 6.79001e-06 [overlap_grad_flash_sp]: 2.866e-05 [begin_end_overlap_inline]: 6.59988e-07 [split_matmul_comm_elemetwise]: 2.76e-06 [split_layernorm_comm]: 1.81e-06 [handle_group_info]: 1.25999e-06 [symbol_engine_optimizer]: 0.00024989, [1] [Cycle 1]: 0.00024441, [6] [build]: 0.00011862 [elim_shapecalc]: 2.191e-05 [elim_not_effective]: 2.515e-05 [opt_reshape]: 1.201e-05 [fold_const_symbol]: 2.443e-05 [renormalize]: 3.00002e-07 [detach_backward]: 3.16999e-06 [pipeline_parallel_scheduler]: 1.66e-06 [auto_monad_reorder]: 0.00011879 [get_jit_bprop_graph]: 1.99e-06 [rewriter_after_jit_bprop_graph]: 1.142e-05 [opt_after_jit_grad]: 0.00062384 [validate]: 6.793e-05 Sums bootstrap : 0.000986s : 1.16% type_inference : 0.071697s : 84.61% event_method : 0.000020s : 0.02% auto_monad : 0.000163s : 0.19% graph_reusing : 0.000006s : 0.01% inline : 0.000004s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000023s : 0.03% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000004s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000039s : 0.05% 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 : 0.000040s : 0.05% optimize.rewriter_before_opt_a : 0.000067s : 0.08% optimize.opt_a.expand_dump_flag : 0.000007s : 0.01% optimize.opt_a.switch_simplify : 0.000043s : 0.05% optimize.opt_a.loop_unroll : 0.000027s : 0.03% optimize.opt_a.a_1 : 0.000760s : 0.90% optimize.opt_a.with_stream_mark : 0.000048s : 0.06% optimize.opt_a.recompute_prepare : 0.000027s : 0.03% optimize.opt_a.updatestate_depend_eliminate : 0.000015s : 0.02% optimize.opt_a.updatestate_assign_eliminate : 0.000012s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000010s : 0.01% optimize.opt_a.parameter_eliminate : 0.000004s : 0.01% optimize.opt_a.a_2 : 0.000294s : 0.35% optimize.opt_a.accelerated_algorithm : 0.000023s : 0.03% optimize.opt_a.shard : 0.000006s : 0.01% optimize.opt_a.meta_shard_fg_expand : 0.000006s : 0.01% optimize.opt_a.shard_inline : 0.000019s : 0.02% optimize.opt_a.merge_send_recv : 0.000022s : 0.03% optimize.opt_a.auto_parallel : 0.000027s : 0.03% optimize.opt_a.parallel : 0.000039s : 0.05% optimize.opt_a.flash_sp : 0.000016s : 0.02% optimize.opt_a.merge_comm : 0.000011s : 0.01% optimize.opt_a.allreduce_fusion : 0.000012s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000027s : 0.03% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000001s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000028s : 0.03% optimize.opt_a.virtual_dataset : 0.000025s : 0.03% optimize.opt_a.get_grad_eliminate_ : 0.000022s : 0.03% optimize.opt_a.virtual_output : 0.000021s : 0.03% optimize.opt_a.merge_forward : 0.000013s : 0.02% optimize.opt_a.cell_reuse_recompute_pass : 0.000005s : 0.01% optimize.opt_a.offload_activation : 0.000027s : 0.03% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000047s : 0.06% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000034s : 0.04% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000014s : 0.02% optimize.opt_a.meta_fg_expand : 0.000008s : 0.01% optimize.opt_a.flash_sp_send_recv_attached : 0.000006s : 0.01% optimize.opt_a.receive_attached : 0.000005s : 0.01% optimize.opt_a.after_resolve : 0.000042s : 0.05% optimize.opt_a.a_after_grad : 0.000037s : 0.04% optimize.opt_a.renormalize : 0.005680s : 6.70% optimize.opt_a.add_forward_monad_depend : 0.000012s : 0.01% optimize.opt_a.auto_monad_grad : 0.000005s : 0.01% optimize.opt_a.auto_monad_eliminator : 0.000045s : 0.05% optimize.opt_a.cse : 0.000075s : 0.09% optimize.opt_a.a_3 : 0.000154s : 0.18% optimize.py_interpret_to_execute_after_opt_a : 0.000020s : 0.02% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000185s : 0.22% optimize.convert_after_rewriter : 0.000012s : 0.01% optimize.order_py_execute_after_rewriter : 0.000007s : 0.01% optimize.mutable_eliminate : 0.000862s : 1.02% optimize.opt_b.b_1 : 0.000278s : 0.33% optimize.opt_b.b_2 : 0.000014s : 0.02% optimize.opt_b.updatestate_depend_eliminate : 0.000013s : 0.02% optimize.opt_b.updatestate_assign_eliminate : 0.000005s : 0.01% optimize.opt_b.updatestate_loads_eliminate : 0.000026s : 0.03% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000063s : 0.07% optimize.optimize_parallel_all_gather_comm : 0.000034s : 0.04% optimize.overlap_param_gather : 0.000005s : 0.01% optimize.cconv : 0.000044s : 0.05% optimize.loop_unroll : 0.000799s : 0.94% optimize.opt_after_cconv.c_1 : 0.000085s : 0.10% optimize.opt_after_cconv.parameter_eliminate : 0.000006s : 0.01% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.01% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.01% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.01% optimize.opt_after_cconv.cse : 0.000035s : 0.04% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000022s : 0.03% optimize.tuple_transform.d_1 : 0.000075s : 0.09% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000010s : 0.01% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000088s : 0.10% optimize.cse_after_recomputation.cse : 0.000022s : 0.03% optimize.environ_conv : 0.000012s : 0.01% optimize.swap_dp_allreduce_reducescatter : 0.000008s : 0.01% optimize.bias_add_comm_swap : 0.000004s : 0.00% optimize.label_micro_interleaved_index : 0.000006s : 0.01% 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 : 0.000021s : 0.03% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000006s : 0.01% optimize.overlap_recompute_and_grad_model_parallel : 0.000006s : 0.01% 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 : 0.000007s : 0.01% optimize.overlap_grad_flash_sp : 0.000029s : 0.03% 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 : 0.000119s : 0.14% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000022s : 0.03% optimize.symbol_engine_optimizer.elim_not_effective : 0.000025s : 0.03% optimize.symbol_engine_optimizer.opt_reshape : 0.000012s : 0.01% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000024s : 0.03% 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 : 0.000119s : 0.14% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000011s : 0.01% opt_after_jit_grad : 0.000624s : 0.74% validate : 0.000068s : 0.08% Time group info: ------[substitution.] 0.000223 51 3.95% : 0.000009s : 2: substitution.depend_value_elim 2.00% : 0.000004s : 4: substitution.elim_not_effective 4.45% : 0.000010s : 4: substitution.fold_const_symbol 3.65% : 0.000008s : 6: substitution.graph_param_transform 59.64% : 0.000133s : 1: substitution.inline 2.55% : 0.000006s : 8: substitution.j_node_and_user_rematch 3.37% : 0.000008s : 8: substitution.remove_not_recompute_node 3.31% : 0.000007s : 4: substitution.replace_old_param 9.22% : 0.000021s : 6: substitution.updatestate_pure_node_eliminater 7.86% : 0.000017s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.071602 2 92.59% : 0.066295s : 1: type_inference.infer 7.41% : 0.005306s : 1: type_inference.specialize ------[replace.] 0.000023 1 100.00% : 0.000023s : 1: replace.inline ------[match.] 0.000131 1 100.00% : 0.000131s : 1: match.inline ------[predicate.] 0.000242 1421 0.72% : 0.000002s : 13: predicate.accumulaten_eliminater 1.00% : 0.000002s : 6: predicate.ad_related_special_op_eliminate 0.69% : 0.000002s : 12: predicate.addn_check_dump 0.81% : 0.000002s : 13: predicate.addn_zero_filter 0.69% : 0.000002s : 13: predicate.adjust_all_reduce_mul_add 2.28% : 0.000006s : 25: predicate.arithmetic_simplify 0.79% : 0.000002s : 13: predicate.cast_eliminate 0.77% : 0.000002s : 12: predicate.check_bprop_eliminate 0.66% : 0.000002s : 12: predicate.compare_switch_simplify 0.23% : 0.000001s : 6: predicate.const_output_eliminate 0.80% : 0.000002s : 12: predicate.depend_value_elim 0.84% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 0.86% : 0.000002s : 13: predicate.dict_get_item_eliminator 0.78% : 0.000002s : 13: predicate.dict_set_item_eliminator 1.24% : 0.000003s : 12: predicate.dumpgradient_eliminate 0.30% : 0.000001s : 6: predicate.elim_not_effective 0.62% : 0.000002s : 6: predicate.elim_shapecalc_of_broadcastargs 1.16% : 0.000003s : 19: predicate.environ_add_const_eliminate 1.00% : 0.000002s : 19: predicate.environ_get_add_eliminate 1.12% : 0.000003s : 19: predicate.environ_get_depend_swap 1.82% : 0.000004s : 31: predicate.environ_get_eliminate 1.02% : 0.000002s : 19: predicate.environ_get_set_eliminate 0.72% : 0.000002s : 14: predicate.exchange_switch_depend_value 1.65% : 0.000004s : 14: predicate.float_depend_g_call 0.62% : 0.000002s : 12: predicate.float_environ_get_switch 1.11% : 0.000003s : 18: predicate.float_tuple_getitem_switch 0.22% : 0.000001s : 6: predicate.fold_const_symbol 0.93% : 0.000002s : 12: predicate.get_grad_eliminate 0.37% : 0.000001s : 6: predicate.graph_param_transform 0.69% : 0.000002s : 12: predicate.incorporate_call 0.61% : 0.000001s : 12: predicate.incorporate_call_switch 5.87% : 0.000014s : 63: predicate.inline 1.12% : 0.000003s : 12: predicate.inline_without_move 0.39% : 0.000001s : 12: predicate.j_node_and_user_rematch 1.01% : 0.000002s : 12: predicate.less_batch_normalization 1.80% : 0.000004s : 25: predicate.list_to_tuple_eliminator_ 2.14% : 0.000005s : 38: predicate.load_eliminater 1.91% : 0.000005s : 6: predicate.loop_unroll_after_grad 1.16% : 0.000003s : 18: predicate.loop_unroll_before_grad 2.03% : 0.000005s : 25: predicate.make_slice_get_slice_eliminator 0.72% : 0.000002s : 12: predicate.merge_addn 0.88% : 0.000002s : 12: predicate.micro_step_allgather_replace 0.94% : 0.000002s : 12: predicate.mini_step_allgather_replace 0.67% : 0.000002s : 13: predicate.minmaximum_grad 1.84% : 0.000004s : 6: predicate.mutable_eliminate 0.56% : 0.000001s : 6: predicate.opt_reshape 0.48% : 0.000001s : 6: predicate.parallel_virtual_node 0.97% : 0.000002s : 14: predicate.partial_defer_inline 1.21% : 0.000003s : 19: predicate.partial_eliminate 0.76% : 0.000002s : 13: predicate.print_const_string_wrapper 0.70% : 0.000002s : 12: predicate.reduce_all_const_elim 1.14% : 0.000003s : 13: predicate.reduce_eliminate 2.12% : 0.000005s : 38: predicate.redundant_stop_gradient_eliminater 0.64% : 0.000002s : 12: predicate.remove_not_recompute_node 1.14% : 0.000003s : 25: predicate.replace_applicator 0.66% : 0.000002s : 12: predicate.replace_old_param 0.39% : 0.000001s : 6: predicate.reset_defer_inline 0.72% : 0.000002s : 13: predicate.reshape_eliminate 0.81% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.57% : 0.000001s : 6: predicate.row_tensor_eliminate 1.07% : 0.000003s : 12: predicate.same_eliminate 0.48% : 0.000001s : 12: predicate.set_cell_output_no_recompute 1.23% : 0.000003s : 12: predicate.shard_identity_eliminate 1.08% : 0.000003s : 12: predicate.special_op_eliminate 0.89% : 0.000002s : 12: predicate.specialize_transform 1.32% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 1.24% : 0.000003s : 12: predicate.stack_unstack_eliminate 0.42% : 0.000001s : 6: predicate.switch_call_monad_eliminater 0.80% : 0.000002s : 14: predicate.switch_defer_inline 1.53% : 0.000004s : 26: predicate.switch_layer_defer_inline 3.30% : 0.000008s : 50: predicate.switch_simplify 0.71% : 0.000002s : 13: predicate.tile_eliminate 0.76% : 0.000002s : 13: predicate.transpose_eliminate 1.84% : 0.000004s : 25: predicate.tuple_list_convert_item_index_to_positive 1.65% : 0.000004s : 25: predicate.tuple_list_get_item_const_eliminator 1.41% : 0.000003s : 25: predicate.tuple_list_get_item_depend_reorder 3.01% : 0.000007s : 37: predicate.tuple_list_get_item_eliminator 1.55% : 0.000004s : 25: predicate.tuple_list_get_set_item_eliminator 2.47% : 0.000006s : 37: predicate.tuple_list_set_item_eliminator 1.69% : 0.000004s : 25: predicate.tuple_to_list_eliminator_ 2.19% : 0.000005s : 38: predicate.updatestate_pure_node_eliminater 3.56% : 0.000009s : 50: predicate.updatestate_useless_node_eliminater 0.64% : 0.000002s : 6: predicate.value_based_eliminate 0.81% : 0.000002s : 12: predicate.virtual_dataset_eliminate 0.82% : 0.000002s : 12: predicate.virtual_output_eliminate 0.42% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.66% : 0.000002s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000544 4 4.98% : 0.000027s : 1: func_graph_cloner_run.FuncGraphClonerGraph 95.02% : 0.000517s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.131687 192 0.00% : 0.000004s : 1: ForceFp32Comm 6.80% : 0.008958s : 1: add_attr 6.79% : 0.008938s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.07% : 0.000093s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.13% : 0.000170s : 1: auto_monad 0.10% : 0.000125s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.01% : 0.000007s : 1: bias_add_comm_swap 0.78% : 0.001030s : 1: bootstrap 0.04% : 0.000048s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.02% : 0.000025s : 1: control_data_broadcast_order 0.01% : 0.000016s : 1: convert_after_rewriter 0.03% : 0.000041s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.01% : 0.000016s : 1: environ_conv 0.02% : 0.000027s : 1: event_method 0.00% : 0.000006s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.01% : 0.000011s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.01% : 0.000007s : 1: inline 0.01% : 0.000008s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000005s : 1: interleave_split_concat_branches 0.01% : 0.000007s : 1: label_fine_grained_interleaved_index 0.01% : 0.000010s : 1: label_micro_interleaved_index 0.61% : 0.000810s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.66% : 0.000873s : 1: mutable_eliminate 0.01% : 0.000010s : 1: offloading_packed_experts 0.03% : 0.000040s : 1: opt.transform.loop_unroll_optimizer 0.02% : 0.000028s : 1: opt.transform.mutable_eliminate 1.13% : 0.001494s : 78: opt.transform.opt_a 0.06% : 0.000083s : 1: opt.transform.opt_after_cconv 0.03% : 0.000040s : 1: opt.transform.opt_after_jit_grad 0.19% : 0.000248s : 28: opt.transform.opt_b 0.06% : 0.000083s : 2: opt.transform.opt_trans_graph 0.06% : 0.000079s : 4: opt.transform.symbol_engine_opt 6.31% : 0.008304s : 1: opt_a 0.16% : 0.000214s : 1: opt_after_cconv 0.48% : 0.000634s : 1: opt_after_jit_grad 3.51% : 0.004618s : 1: opt_b 12.25% : 0.016132s : 1: optimize 0.03% : 0.000039s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000011s : 1: order_py_execute_after_rewriter 0.02% : 0.000032s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.01% : 0.000010s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000005s : 1: overlap_opt_shard_in_pipeline 0.01% : 0.000008s : 1: overlap_param_gather 0.00% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.01% : 0.000009s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.01% : 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% : 0.000005s : 1: pipeline_split 0.03% : 0.000044s : 1: pre_auto_parallel 0.03% : 0.000045s : 1: py_interpret_to_execute 0.02% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.02% : 0.000026s : 1: remove_dup_value 3.78% : 0.004975s : 1: renormalize.infer 0.52% : 0.000688s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.01% : 0.000016s : 1: rewriter_after_jit_bprop_graph 0.15% : 0.000193s : 1: rewriter_after_opt_a 0.05% : 0.000071s : 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% : 0.000005s : 1: split_layernorm_comm 0.01% : 0.000007s : 1: split_matmul_comm_elemetwise 0.01% : 0.000012s : 1: swap_dp_allreduce_reducescatter 0.19% : 0.000253s : 1: symbol_engine_optimizer 0.09% : 0.000118s : 1: tuple_transform 54.47% : 0.071728s : 1: type_inference . [hook] pytest_runtest_teardown:test_group_topk_float16[True-input_param1-bfloat16] tests/st/infer/ops/test_internal_ops/test_group_topk.py::test_group_topk_float16[True-input_param1-bfloat16],max_mem:104.0M =============================== warnings summary =============================== ../../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222: DeprecationWarning: invalid escape sequence \B """ ../../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad_reduce") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad_reduce") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d_reduce") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d_reduce") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel_grad") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer_grad") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perchannel") ../../../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perlayer") -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 8 passed, 25 warnings in 142.83s (0:02:22) ==================