==================================================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/tensor, configfile: ../../../../../../sault/virtual_test/virtualenv_003/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 2 items test_sigmoid_.py [WARNING] ME(162156:281473129860912,MainProcess):2026-01-29-17:37:27.438.158 [mindspore/context.py:1334] For 'context.set_context', the parameter 'device_target' will be deprecated and removed in a future version. Please use the api mindspore.set_device() instead. TotalTime = 0.0896211, [21] [bootstrap]: 0.00060913 [type_inference]: 0.0311055 [event_method]: 1.758e-05 [auto_monad]: 0.00017101 [graph_reusing]: 6.12999e-06 [inline]: 3.41001e-06 [add_attr]: 0.0509254, [1] [add_attr_with_inline]: 0.0509097, [1] [Cycle 1]: 0.00010191, [2] [tag_attr]: 1.881e-05 [meta_addattr_fg_expand]: 3.97998e-06 [parallel-infer-symbol]: 3.41001e-06 [pre_auto_parallel]: 5.106e-05 [insert-virtual-dataset]: 2.90002e-06 [parallel-infer-symbol-second]: 7.79983e-07 [dataset_repeat_opt]: 2.11e-06 [pipeline_split]: 1.82001e-06 [optimize]: 0.00585192, [53] [py_interpret_to_execute]: 2.193e-05 [rewriter_before_opt_a]: 7.14e-05 [opt_a]: 0.00314257, [2] [Cycle 1]: 0.00223259, [45] [expand_dump_flag]: 3.26001e-06 [switch_simplify]: 2.78e-05 [loop_unroll]: 1.276e-05 [a_1]: 0.00039337 [with_stream_mark]: 2.411e-05 [recompute_prepare]: 1.193e-05 [updatestate_depend_eliminate]: 6.53998e-06 [updatestate_assign_eliminate]: 5.76998e-06 [updatestate_loads_eliminate]: 5.84e-06 [parameter_eliminate]: 2.34999e-06 [a_2]: 0.00012701 [accelerated_algorithm]: 1.018e-05 [shard]: 3.25998e-06 [meta_shard_fg_expand]: 2.24001e-06 [shard_inline]: 8.48999e-06 [merge_send_recv]: 1.196e-05 [auto_parallel]: 9.67001e-06 [parallel]: 6.15e-05 [flash_sp]: 1.259e-05 [merge_comm]: 5.86e-06 [allreduce_fusion]: 5.40001e-06 [matmul_add_comm_reduction]: 1.493e-05 [allreduce_slice_to_reducescatter]: 6.60017e-07 [virtual_shard_identity]: 1.34e-05 [virtual_dataset]: 8.92e-06 [get_grad_eliminate_]: 8.99e-06 [virtual_output]: 8.50001e-06 [merge_forward]: 6.28002e-06 [cell_reuse_recompute_pass]: 1.64998e-06 [offload_activation]: 1.494e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.029e-05 [merge_recompute_call_nodes]: 1.48002e-06 [before_grad]: 1.642e-05 [set_forward_comm_id_for_comm_node_pass]: 6.27001e-06 [meta_fg_expand]: 4.22e-06 [flash_sp_send_recv_attached]: 3.35e-06 [receive_attached]: 1.228e-05 [after_resolve]: 1.44e-05 [a_after_grad]: 1.438e-05 [renormalize]: 0.00086367 [add_forward_monad_depend]: 8.17e-06 [auto_monad_grad]: 2.64001e-06 [auto_monad_eliminator]: 2.795e-05 [cse]: 5.914e-05 [a_3]: 7.02e-05 [Cycle 2]: 0.00089536, [45] [expand_dump_flag]: 1.94e-06 [switch_simplify]: 1.259e-05 [loop_unroll]: 8.70001e-06 [a_1]: 0.00019893 [with_stream_mark]: 2.165e-05 [recompute_prepare]: 8.84998e-06 [updatestate_depend_eliminate]: 6.58e-06 [updatestate_assign_eliminate]: 5.00001e-06 [updatestate_loads_eliminate]: 5.19e-06 [parameter_eliminate]: 1.41998e-06 [a_2]: 0.00011062 [accelerated_algorithm]: 8.64e-06 [shard]: 2.37999e-06 [meta_shard_fg_expand]: 2.51e-06 [shard_inline]: 9.00001e-06 [merge_send_recv]: 1.07e-05 [auto_parallel]: 1.097e-05 [parallel]: 9.82001e-06 [flash_sp]: 3.67002e-06 [merge_comm]: 5.35001e-06 [allreduce_fusion]: 5.06002e-06 [matmul_add_comm_reduction]: 1.064e-05 [allreduce_slice_to_reducescatter]: 5.69999e-07 [virtual_shard_identity]: 9.59e-06 [virtual_dataset]: 7.88001e-06 [get_grad_eliminate_]: 7.63999e-06 [virtual_output]: 7.42002e-06 [merge_forward]: 6.21998e-06 [cell_reuse_recompute_pass]: 1.97001e-06 [offload_activation]: 1.308e-05 [cell_reuse_handle_not_recompute_node_pass]: 1.71e-05 [merge_recompute_call_nodes]: 1.45999e-06 [before_grad]: 1.437e-05 [set_forward_comm_id_for_comm_node_pass]: 5.50001e-06 [meta_fg_expand]: 3.52002e-06 [flash_sp_send_recv_attached]: 1.82999e-06 [receive_attached]: 2.31998e-06 [after_resolve]: 1.214e-05 [a_after_grad]: 1.26e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.50002e-06 [auto_monad_grad]: 2.11e-06 [auto_monad_eliminator]: 1.666e-05 [cse]: 2.213e-05 [a_3]: 5.153e-05 [py_interpret_to_execute_after_opt_a]: 1.705e-05 [slice_cell_reuse_recomputed_activation]: 1.92001e-06 [rewriter_after_opt_a]: 0.0001841 [convert_after_rewriter]: 1.418e-05 [order_py_execute_after_rewriter]: 7.36999e-06 [mutable_eliminate]: 0.00064594 [opt_b]: 0.00029492, [1] [Cycle 1]: 0.00028709, [7] [b_1]: 0.00018611 [b_2]: 1.085e-05 [updatestate_depend_eliminate]: 1.087e-05 [updatestate_assign_eliminate]: 5.54998e-06 [updatestate_loads_eliminate]: 5.25999e-06 [renormalize]: 9.29984e-07 [cse]: 2.993e-05 [optimize_parallel_all_gather_comm]: 2.391e-05 [overlap_param_gather]: 2.11998e-06 [cconv]: 3.442e-05 [loop_unroll]: 0.00044016 [opt_after_cconv]: 0.00013907, [1] [Cycle 1]: 0.00013244, [7] [c_1]: 5.209e-05 [parameter_eliminate]: 4.17e-06 [updatestate_depend_eliminate]: 8.66002e-06 [updatestate_assign_eliminate]: 4.58999e-06 [updatestate_loads_eliminate]: 4.43001e-06 [cse]: 2.314e-05 [renormalize]: 3.00002e-07 [remove_dup_value]: 1.624e-05 [tuple_transform]: 0.00010457, [1] [Cycle 1]: 9.966e-05, [4] [d_1]: 6.955e-05 [none_parameter_eliminate]: 1.78002e-06 [renormalize]: 1.69995e-07 [switch_simplify]: 9.04e-06 [partial_unused_args_eliminate]: 1.92001e-06 [add_recomputation]: 9.931e-05 [cse_after_recomputation]: 2.991e-05, [1] [Cycle 1]: 2.497e-05, [1] [cse]: 1.875e-05 [environ_conv]: 1.988e-05 [swap_dp_allreduce_reducescatter]: 7.99997e-06 [bias_add_comm_swap]: 3.11001e-06 [label_micro_interleaved_index]: 5.07e-06 [label_fine_grained_interleaved_index]: 3.04999e-06 [merge_cast_opt]: 1.84e-06 [slice_recompute_activation]: 2.26e-06 [micro_interleaved_order_control]: 2.88e-06 [assign_add_opt]: 1.49e-06 [ForceFp32Comm]: 1.05001e-06 [remove_cast_before_assign_add]: 1.20001e-06 [full_micro_interleaved_order_control]: 2.39999e-06 [reorder_send_recv_between_fp_bp]: 3.15002e-06 [comm_op_add_attrs]: 1.09998e-06 [add_comm_op_reuse_tag]: 1.10001e-06 [interleave_split_concat_branches]: 1.42999e-06 [interleave_parallel_branches]: 1.17999e-06 [overlap_opt_shard_in_pipeline]: 2.5e-05 [overlap_opt_shard_grad_in_pipeline]: 1.88002e-06 [control_data_broadcast_order]: 1.997e-05 [grouped_pairwise_exchange_alltoall]: 2.19001e-06 [offloading_packed_experts]: 7.05e-06 [overlap_recompute_and_grad_model_parallel]: 6.66999e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.29e-06 [overlap_recompute_allgather_and_fa_grad]: 1.77999e-06 [overlap_recompute_comm]: 2.92002e-06 [overlap_grad_ring_attention]: 5.77999e-06 [overlap_grad_flash_sp]: 4.603e-05 [begin_end_overlap_inline]: 9.10019e-07 [split_matmul_comm_elemetwise]: 2.54999e-06 [split_layernorm_comm]: 1.97999e-06 [handle_group_info]: 1.17e-06 [symbol_engine_optimizer]: 0.00011086, [1] [Cycle 1]: 0.00010446, [6] [build]: 6.00002e-06 [elim_shapecalc]: 1.735e-05 [elim_not_effective]: 1.925e-05 [opt_reshape]: 1.069e-05 [fold_const_symbol]: 1.49e-05 [renormalize]: 1.8999e-07 [detach_backward]: 2.61e-06 [pipeline_parallel_scheduler]: 1.37e-06 [auto_monad_reorder]: 3.886e-05 [get_jit_bprop_graph]: 1.59e-06 [rewriter_after_jit_bprop_graph]: 5.60001e-06 [opt_after_jit_grad]: 0.00055696 [validate]: 6.93e-05 Sums bootstrap : 0.000609s : 1.62% type_inference : 0.031106s : 82.74% event_method : 0.000018s : 0.05% auto_monad : 0.000171s : 0.45% graph_reusing : 0.000006s : 0.02% inline : 0.000003s : 0.01% add_attr.add_attr_with_inline.tag_attr : 0.000019s : 0.05% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000004s : 0.01% parallel-infer-symbol : 0.000003s : 0.01% pre_auto_parallel : 0.000051s : 0.14% 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 : 0.000022s : 0.06% optimize.rewriter_before_opt_a : 0.000071s : 0.19% optimize.opt_a.expand_dump_flag : 0.000005s : 0.01% optimize.opt_a.switch_simplify : 0.000040s : 0.11% optimize.opt_a.loop_unroll : 0.000021s : 0.06% optimize.opt_a.a_1 : 0.000592s : 1.58% optimize.opt_a.with_stream_mark : 0.000046s : 0.12% optimize.opt_a.recompute_prepare : 0.000021s : 0.06% 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 : 0.000011s : 0.03% optimize.opt_a.parameter_eliminate : 0.000004s : 0.01% optimize.opt_a.a_2 : 0.000238s : 0.63% optimize.opt_a.accelerated_algorithm : 0.000019s : 0.05% optimize.opt_a.shard : 0.000006s : 0.02% optimize.opt_a.meta_shard_fg_expand : 0.000005s : 0.01% optimize.opt_a.shard_inline : 0.000017s : 0.05% optimize.opt_a.merge_send_recv : 0.000023s : 0.06% optimize.opt_a.auto_parallel : 0.000021s : 0.05% optimize.opt_a.parallel : 0.000071s : 0.19% optimize.opt_a.flash_sp : 0.000016s : 0.04% optimize.opt_a.merge_comm : 0.000011s : 0.03% optimize.opt_a.allreduce_fusion : 0.000010s : 0.03% optimize.opt_a.matmul_add_comm_reduction : 0.000026s : 0.07% 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 : 0.000017s : 0.04% optimize.opt_a.get_grad_eliminate_ : 0.000017s : 0.04% optimize.opt_a.virtual_output : 0.000016s : 0.04% optimize.opt_a.merge_forward : 0.000013s : 0.03% optimize.opt_a.cell_reuse_recompute_pass : 0.000004s : 0.01% optimize.opt_a.offload_activation : 0.000028s : 0.07% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000037s : 0.10% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.01% optimize.opt_a.before_grad : 0.000031s : 0.08% 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 : 0.000005s : 0.01% optimize.opt_a.receive_attached : 0.000015s : 0.04% optimize.opt_a.after_resolve : 0.000027s : 0.07% optimize.opt_a.a_after_grad : 0.000027s : 0.07% optimize.opt_a.renormalize : 0.000864s : 2.30% optimize.opt_a.add_forward_monad_depend : 0.000011s : 0.03% optimize.opt_a.auto_monad_grad : 0.000005s : 0.01% optimize.opt_a.auto_monad_eliminator : 0.000045s : 0.12% optimize.opt_a.cse : 0.000081s : 0.22% optimize.opt_a.a_3 : 0.000122s : 0.32% optimize.py_interpret_to_execute_after_opt_a : 0.000017s : 0.05% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.01% optimize.rewriter_after_opt_a : 0.000184s : 0.49% optimize.convert_after_rewriter : 0.000014s : 0.04% optimize.order_py_execute_after_rewriter : 0.000007s : 0.02% optimize.mutable_eliminate : 0.000646s : 1.72% optimize.opt_b.b_1 : 0.000186s : 0.50% optimize.opt_b.b_2 : 0.000011s : 0.03% optimize.opt_b.updatestate_depend_eliminate : 0.000011s : 0.03% 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 : 0.000030s : 0.08% optimize.optimize_parallel_all_gather_comm : 0.000024s : 0.06% optimize.overlap_param_gather : 0.000002s : 0.01% optimize.cconv : 0.000034s : 0.09% optimize.loop_unroll : 0.000440s : 1.17% optimize.opt_after_cconv.c_1 : 0.000052s : 0.14% optimize.opt_after_cconv.parameter_eliminate : 0.000004s : 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 : 0.000023s : 0.06% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000016s : 0.04% optimize.tuple_transform.d_1 : 0.000070s : 0.19% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000009s : 0.02% optimize.partial_unused_args_eliminate : 0.000002s : 0.01% optimize.add_recomputation : 0.000099s : 0.26% optimize.cse_after_recomputation.cse : 0.000019s : 0.05% optimize.environ_conv : 0.000020s : 0.05% 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 : 0.000001s : 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 : 0.000025s : 0.07% 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 : 0.000007s : 0.02% optimize.overlap_recompute_and_grad_model_parallel : 0.000007s : 0.02% 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 : 0.01% optimize.overlap_grad_ring_attention : 0.000006s : 0.02% optimize.overlap_grad_flash_sp : 0.000046s : 0.12% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000003s : 0.01% optimize.split_layernorm_comm : 0.000002s : 0.01% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000006s : 0.02% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000017s : 0.05% optimize.symbol_engine_optimizer.elim_not_effective : 0.000019s : 0.05% optimize.symbol_engine_optimizer.opt_reshape : 0.000011s : 0.03% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000015s : 0.04% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000003s : 0.01% pipeline_parallel_scheduler : 0.000001s : 0.00% auto_monad_reorder : 0.000039s : 0.10% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.01% opt_after_jit_grad : 0.000557s : 1.48% validate : 0.000069s : 0.18% Time group info: ------[substitution.] 0.000201 55 5.34% : 0.000011s : 2: substitution.depend_value_elim 1.58% : 0.000003s : 5: substitution.elim_not_effective 1.19% : 0.000002s : 5: substitution.fold_const_symbol 10.78% : 0.000022s : 6: substitution.graph_param_transform 54.33% : 0.000109s : 1: substitution.inline 3.46% : 0.000007s : 10: substitution.j_node_and_user_rematch 4.23% : 0.000009s : 10: substitution.remove_not_recompute_node 2.79% : 0.000006s : 2: substitution.replace_old_param 8.56% : 0.000017s : 6: substitution.updatestate_pure_node_eliminater 7.74% : 0.000016s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.031042 2 98.65% : 0.030623s : 1: type_inference.infer 1.35% : 0.000418s : 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.] 0.000233 1419 0.78% : 0.000002s : 13: predicate.accumulaten_eliminater 1.22% : 0.000003s : 6: predicate.ad_related_special_op_eliminate 0.76% : 0.000002s : 12: predicate.addn_check_dump 0.88% : 0.000002s : 13: predicate.addn_zero_filter 0.70% : 0.000002s : 13: predicate.adjust_all_reduce_mul_add 1.87% : 0.000004s : 25: predicate.arithmetic_simplify 0.81% : 0.000002s : 13: predicate.cast_eliminate 0.75% : 0.000002s : 12: predicate.check_bprop_eliminate 0.67% : 0.000002s : 12: predicate.compare_switch_simplify 0.22% : 0.000001s : 6: predicate.const_output_eliminate 0.74% : 0.000002s : 12: predicate.depend_value_elim 0.84% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 0.89% : 0.000002s : 13: predicate.dict_get_item_eliminator 0.81% : 0.000002s : 13: predicate.dict_set_item_eliminator 1.22% : 0.000003s : 12: predicate.dumpgradient_eliminate 0.36% : 0.000001s : 6: predicate.elim_not_effective 0.72% : 0.000002s : 6: predicate.elim_shapecalc_of_broadcastargs 1.13% : 0.000003s : 19: predicate.environ_add_const_eliminate 1.08% : 0.000003s : 19: predicate.environ_get_add_eliminate 1.06% : 0.000002s : 19: predicate.environ_get_depend_swap 1.87% : 0.000004s : 31: predicate.environ_get_eliminate 1.07% : 0.000002s : 19: predicate.environ_get_set_eliminate 0.84% : 0.000002s : 14: predicate.exchange_switch_depend_value 1.81% : 0.000004s : 14: predicate.float_depend_g_call 0.66% : 0.000002s : 12: predicate.float_environ_get_switch 1.02% : 0.000002s : 18: predicate.float_tuple_getitem_switch 0.23% : 0.000001s : 6: predicate.fold_const_symbol 0.81% : 0.000002s : 12: predicate.get_grad_eliminate 0.25% : 0.000001s : 6: predicate.graph_param_transform 0.73% : 0.000002s : 12: predicate.incorporate_call 0.65% : 0.000002s : 12: predicate.incorporate_call_switch 5.99% : 0.000014s : 63: predicate.inline 1.30% : 0.000003s : 12: predicate.inline_without_move 0.41% : 0.000001s : 12: predicate.j_node_and_user_rematch 0.90% : 0.000002s : 12: predicate.less_batch_normalization 1.64% : 0.000004s : 25: predicate.list_to_tuple_eliminator_ 2.29% : 0.000005s : 38: predicate.load_eliminater 1.09% : 0.000003s : 6: predicate.loop_unroll_after_grad 1.08% : 0.000003s : 17: predicate.loop_unroll_before_grad 1.72% : 0.000004s : 25: predicate.make_slice_get_slice_eliminator 0.69% : 0.000002s : 12: predicate.merge_addn 0.77% : 0.000002s : 12: predicate.micro_step_allgather_replace 0.91% : 0.000002s : 12: predicate.mini_step_allgather_replace 0.73% : 0.000002s : 13: predicate.minmaximum_grad 1.49% : 0.000003s : 6: predicate.mutable_eliminate 0.70% : 0.000002s : 6: predicate.opt_reshape 0.50% : 0.000001s : 6: predicate.parallel_virtual_node 1.10% : 0.000003s : 14: predicate.partial_defer_inline 1.32% : 0.000003s : 19: predicate.partial_eliminate 0.93% : 0.000002s : 13: predicate.print_const_string_wrapper 0.70% : 0.000002s : 12: predicate.reduce_all_const_elim 1.06% : 0.000002s : 13: predicate.reduce_eliminate 2.12% : 0.000005s : 38: predicate.redundant_stop_gradient_eliminater 0.71% : 0.000002s : 12: predicate.remove_not_recompute_node 1.25% : 0.000003s : 25: predicate.replace_applicator 0.61% : 0.000001s : 12: predicate.replace_old_param 0.29% : 0.000001s : 6: predicate.reset_defer_inline 0.84% : 0.000002s : 13: predicate.reshape_eliminate 0.81% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.63% : 0.000001s : 6: predicate.row_tensor_eliminate 1.02% : 0.000002s : 12: predicate.same_eliminate 0.53% : 0.000001s : 12: predicate.set_cell_output_no_recompute 0.93% : 0.000002s : 12: predicate.shard_identity_eliminate 0.91% : 0.000002s : 12: predicate.special_op_eliminate 0.90% : 0.000002s : 12: predicate.specialize_transform 1.38% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 1.33% : 0.000003s : 12: predicate.stack_unstack_eliminate 0.45% : 0.000001s : 6: predicate.switch_call_monad_eliminater 0.90% : 0.000002s : 14: predicate.switch_defer_inline 1.67% : 0.000004s : 26: predicate.switch_layer_defer_inline 3.65% : 0.000008s : 49: predicate.switch_simplify 0.85% : 0.000002s : 13: predicate.tile_eliminate 0.76% : 0.000002s : 13: predicate.transpose_eliminate 1.66% : 0.000004s : 25: predicate.tuple_list_convert_item_index_to_positive 1.61% : 0.000004s : 25: predicate.tuple_list_get_item_const_eliminator 1.43% : 0.000003s : 25: predicate.tuple_list_get_item_depend_reorder 3.45% : 0.000008s : 37: predicate.tuple_list_get_item_eliminator 1.53% : 0.000004s : 25: predicate.tuple_list_get_set_item_eliminator 2.77% : 0.000006s : 37: predicate.tuple_list_set_item_eliminator 1.47% : 0.000003s : 25: predicate.tuple_to_list_eliminator_ 2.27% : 0.000005s : 38: predicate.updatestate_pure_node_eliminater 3.44% : 0.000008s : 50: predicate.updatestate_useless_node_eliminater 0.56% : 0.000001s : 6: predicate.value_based_eliminate 0.81% : 0.000002s : 12: predicate.virtual_dataset_eliminate 0.80% : 0.000002s : 12: predicate.virtual_output_eliminate 0.38% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.55% : 0.000001s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000238 4 9.05% : 0.000022s : 1: func_graph_cloner_run.FuncGraphClonerGraph 90.95% : 0.000216s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.148681 192 0.00% : 0.000004s : 1: ForceFp32Comm 34.26% : 0.050932s : 1: add_attr 34.24% : 0.050914s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.07% : 0.000105s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.12% : 0.000180s : 1: auto_monad 0.03% : 0.000045s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.44% : 0.000649s : 1: bootstrap 0.03% : 0.000039s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.02% : 0.000025s : 1: control_data_broadcast_order 0.01% : 0.000018s : 1: convert_after_rewriter 0.02% : 0.000033s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.02% : 0.000024s : 1: environ_conv 0.02% : 0.000025s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.01% : 0.000011s : 1: graph_reusing 0.00% : 0.000006s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000007s : 1: inline 0.00% : 0.000006s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.01% : 0.000008s : 1: label_micro_interleaved_index 0.30% : 0.000451s : 1: loop_unroll 0.00% : 0.000006s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.44% : 0.000659s : 1: mutable_eliminate 0.01% : 0.000012s : 1: offloading_packed_experts 0.01% : 0.000017s : 1: opt.transform.loop_unroll_optimizer 0.02% : 0.000023s : 1: opt.transform.mutable_eliminate 0.79% : 0.001174s : 78: opt.transform.opt_a 0.03% : 0.000051s : 1: opt.transform.opt_after_cconv 0.02% : 0.000034s : 1: opt.transform.opt_after_jit_grad 0.11% : 0.000169s : 28: opt.transform.opt_b 0.05% : 0.000076s : 2: opt.transform.opt_trans_graph 0.04% : 0.000058s : 4: opt.transform.symbol_engine_opt 2.12% : 0.003146s : 1: opt_a 0.10% : 0.000143s : 1: opt_after_cconv 0.38% : 0.000570s : 1: opt_after_jit_grad 0.20% : 0.000298s : 1: opt_b 3.94% : 0.005857s : 1: optimize 0.02% : 0.000028s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000010s : 1: order_py_execute_after_rewriter 0.03% : 0.000052s : 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% : 0.000031s : 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% : 0.000010s : 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% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.04% : 0.000056s : 1: pre_auto_parallel 0.02% : 0.000026s : 1: py_interpret_to_execute 0.01% : 0.000021s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.01% : 0.000020s : 1: remove_dup_value 0.37% : 0.000545s : 1: renormalize.infer 0.21% : 0.000307s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.01% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.13% : 0.000194s : 1: rewriter_after_opt_a 0.05% : 0.000077s : 1: rewriter_before_opt_a 0.00% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000007s : 1: split_matmul_comm_elemetwise 0.01% : 0.000011s : 1: swap_dp_allreduce_reducescatter 0.08% : 0.000114s : 1: symbol_engine_optimizer 0.07% : 0.000107s : 1: tuple_transform 20.94% : 0.031131s : 1: type_inference TotalTime = 0.106871, [21] [bootstrap]: 0.00053343 [type_inference]: 0.0946029 [event_method]: 1.653e-05 [auto_monad]: 0.00014502 [graph_reusing]: 6.07999e-06 [inline]: 2.81e-06 [add_attr]: 0.00448178, [1] [add_attr_with_inline]: 0.0044695, [1] [Cycle 1]: 7.076e-05, [2] [tag_attr]: 1.834e-05 [meta_addattr_fg_expand]: 3.68e-06 [parallel-infer-symbol]: 3.68e-06 [pre_auto_parallel]: 3.15e-05 [insert-virtual-dataset]: 2.73e-06 [parallel-infer-symbol-second]: 1.12e-06 [dataset_repeat_opt]: 2.41e-06 [pipeline_split]: 1.83002e-06 [optimize]: 0.00623647, [53] [py_interpret_to_execute]: 2.372e-05 [rewriter_before_opt_a]: 6.069e-05 [opt_a]: 0.00336553, [2] [Cycle 1]: 0.00232361, [45] [expand_dump_flag]: 3.38999e-06 [switch_simplify]: 2.842e-05 [loop_unroll]: 1.393e-05 [a_1]: 0.00043048 [with_stream_mark]: 2.294e-05 [recompute_prepare]: 1.143e-05 [updatestate_depend_eliminate]: 6.84999e-06 [updatestate_assign_eliminate]: 5.81998e-06 [updatestate_loads_eliminate]: 6.56e-06 [parameter_eliminate]: 1.96e-06 [a_2]: 0.00012662 [accelerated_algorithm]: 1.053e-05 [shard]: 2.74999e-06 [meta_shard_fg_expand]: 2.32001e-06 [shard_inline]: 8.95001e-06 [merge_send_recv]: 1.229e-05 [auto_parallel]: 9.73002e-06 [parallel]: 3.687e-05 [flash_sp]: 1.099e-05 [merge_comm]: 6.37001e-06 [allreduce_fusion]: 5.66e-06 [matmul_add_comm_reduction]: 1.382e-05 [allreduce_slice_to_reducescatter]: 5.8001e-07 [virtual_shard_identity]: 1.277e-05 [virtual_dataset]: 8.69998e-06 [get_grad_eliminate_]: 8.52998e-06 [virtual_output]: 8.64e-06 [merge_forward]: 6.12001e-06 [cell_reuse_recompute_pass]: 1.82999e-06 [offload_activation]: 1.557e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.13e-05 [merge_recompute_call_nodes]: 1.57999e-06 [before_grad]: 1.806e-05 [set_forward_comm_id_for_comm_node_pass]: 7.58001e-06 [meta_fg_expand]: 3.56001e-06 [flash_sp_send_recv_attached]: 2.71999e-06 [receive_attached]: 2.54999e-06 [after_resolve]: 1.405e-05 [a_after_grad]: 1.352e-05 [renormalize]: 0.00094247 [add_forward_monad_depend]: 7.78999e-06 [auto_monad_grad]: 2.53e-06 [auto_monad_eliminator]: 2.498e-05 [cse]: 4.264e-05 [a_3]: 7.221e-05 [Cycle 2]: 0.00102822, [45] [expand_dump_flag]: 2.15002e-06 [switch_simplify]: 1.117e-05 [loop_unroll]: 9.02e-06 [a_1]: 0.00020272 [with_stream_mark]: 2.272e-05 [recompute_prepare]: 1.297e-05 [updatestate_depend_eliminate]: 7.06001e-06 [updatestate_assign_eliminate]: 5.39e-06 [updatestate_loads_eliminate]: 5.86e-06 [parameter_eliminate]: 1.71e-06 [a_2]: 0.00012008 [accelerated_algorithm]: 9.84001e-06 [shard]: 1.99999e-06 [meta_shard_fg_expand]: 2.59001e-06 [shard_inline]: 8.70999e-06 [merge_send_recv]: 9.76e-06 [auto_parallel]: 9.84999e-06 [parallel]: 7.08e-06 [flash_sp]: 3.93999e-06 [merge_comm]: 5.27001e-06 [allreduce_fusion]: 5.20999e-06 [matmul_add_comm_reduction]: 1.009e-05 [allreduce_slice_to_reducescatter]: 6.30011e-07 [virtual_shard_identity]: 9.56e-06 [virtual_dataset]: 8.42e-06 [get_grad_eliminate_]: 8e-06 [virtual_output]: 8.13999e-06 [merge_forward]: 6.14999e-06 [cell_reuse_recompute_pass]: 2.22999e-06 [offload_activation]: 1.371e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.007e-05 [merge_recompute_call_nodes]: 1.00001e-06 [before_grad]: 1.57e-05 [set_forward_comm_id_for_comm_node_pass]: 6.01e-06 [meta_fg_expand]: 3.21001e-06 [flash_sp_send_recv_attached]: 1.40001e-06 [receive_attached]: 1.79e-06 [after_resolve]: 1.287e-05 [a_after_grad]: 1.269e-05 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 1.86998e-06 [auto_monad_grad]: 1.81e-06 [auto_monad_eliminator]: 1.708e-05 [cse]: 2.687e-05 [a_3]: 5.325e-05 [py_interpret_to_execute_after_opt_a]: 1.617e-05 [slice_cell_reuse_recomputed_activation]: 2.70997e-06 [rewriter_after_opt_a]: 0.00018872 [convert_after_rewriter]: 1.425e-05 [order_py_execute_after_rewriter]: 7.05998e-06 [mutable_eliminate]: 0.00077386 [opt_b]: 0.00029685, [1] [Cycle 1]: 0.0002885, [7] [b_1]: 0.00018938 [b_2]: 1.133e-05 [updatestate_depend_eliminate]: 9.67999e-06 [updatestate_assign_eliminate]: 4.70001e-06 [updatestate_loads_eliminate]: 4.86002e-06 [renormalize]: 3.39991e-07 [cse]: 2.628e-05 [optimize_parallel_all_gather_comm]: 5.476e-05 [overlap_param_gather]: 5.62999e-06 [cconv]: 3.367e-05 [loop_unroll]: 0.00049227 [opt_after_cconv]: 0.00014406, [1] [Cycle 1]: 0.00013715, [7] [c_1]: 5.338e-05 [parameter_eliminate]: 3.52997e-06 [updatestate_depend_eliminate]: 8.13001e-06 [updatestate_assign_eliminate]: 4.68001e-06 [updatestate_loads_eliminate]: 4.57e-06 [cse]: 2.373e-05 [renormalize]: 2.3999e-07 [remove_dup_value]: 1.658e-05 [tuple_transform]: 9.692e-05, [1] [Cycle 1]: 9.148e-05, [4] [d_1]: 5.78e-05 [none_parameter_eliminate]: 1.88997e-06 [renormalize]: 1.8999e-07 [switch_simplify]: 9.65002e-06 [partial_unused_args_eliminate]: 2.07999e-06 [add_recomputation]: 8.251e-05 [cse_after_recomputation]: 2.754e-05, [1] [Cycle 1]: 2.234e-05, [1] [cse]: 1.641e-05 [environ_conv]: 6.49999e-06 [swap_dp_allreduce_reducescatter]: 8.54e-06 [bias_add_comm_swap]: 3.04001e-06 [label_micro_interleaved_index]: 4.72998e-06 [label_fine_grained_interleaved_index]: 3.08e-06 [merge_cast_opt]: 1.32e-06 [slice_recompute_activation]: 2.09999e-06 [micro_interleaved_order_control]: 2.74999e-06 [assign_add_opt]: 3.391e-05 [ForceFp32Comm]: 1.09e-06 [remove_cast_before_assign_add]: 2.09999e-06 [full_micro_interleaved_order_control]: 3.13e-06 [reorder_send_recv_between_fp_bp]: 3.55e-06 [comm_op_add_attrs]: 1.09e-06 [add_comm_op_reuse_tag]: 1.00001e-06 [interleave_split_concat_branches]: 1.29e-06 [interleave_parallel_branches]: 1.55001e-06 [overlap_opt_shard_in_pipeline]: 3.31001e-06 [overlap_opt_shard_grad_in_pipeline]: 1.74e-06 [control_data_broadcast_order]: 2.051e-05 [grouped_pairwise_exchange_alltoall]: 2.04e-06 [offloading_packed_experts]: 4.94e-06 [overlap_recompute_and_grad_model_parallel]: 6.26e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.43002e-06 [overlap_recompute_allgather_and_fa_grad]: 1.49e-06 [overlap_recompute_comm]: 2.48002e-06 [overlap_grad_ring_attention]: 5.69e-06 [overlap_grad_flash_sp]: 3.187e-05 [begin_end_overlap_inline]: 4.89992e-07 [split_matmul_comm_elemetwise]: 2.57001e-06 [split_layernorm_comm]: 1.76e-06 [handle_group_info]: 1.19e-06 [symbol_engine_optimizer]: 0.00010323, [1] [Cycle 1]: 9.85e-05, [6] [build]: 5.19e-06 [elim_shapecalc]: 1.492e-05 [elim_not_effective]: 1.869e-05 [opt_reshape]: 1.035e-05 [fold_const_symbol]: 1.534e-05 [renormalize]: 2.60014e-07 [detach_backward]: 2.51e-06 [pipeline_parallel_scheduler]: 1.52001e-06 [auto_monad_reorder]: 3.09e-05 [get_jit_bprop_graph]: 2.11003e-06 [rewriter_after_jit_bprop_graph]: 4.50001e-06 [opt_after_jit_grad]: 0.00052661 [validate]: 5.781e-05 Sums bootstrap : 0.000533s : 0.53% type_inference : 0.094603s : 93.51% event_method : 0.000017s : 0.02% auto_monad : 0.000145s : 0.14% graph_reusing : 0.000006s : 0.01% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000018s : 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 : 0.000032s : 0.03% 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 : 0.000024s : 0.02% optimize.rewriter_before_opt_a : 0.000061s : 0.06% optimize.opt_a.expand_dump_flag : 0.000006s : 0.01% optimize.opt_a.switch_simplify : 0.000040s : 0.04% optimize.opt_a.loop_unroll : 0.000023s : 0.02% optimize.opt_a.a_1 : 0.000633s : 0.63% optimize.opt_a.with_stream_mark : 0.000046s : 0.05% optimize.opt_a.recompute_prepare : 0.000024s : 0.02% optimize.opt_a.updatestate_depend_eliminate : 0.000014s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000011s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000012s : 0.01% optimize.opt_a.parameter_eliminate : 0.000004s : 0.00% optimize.opt_a.a_2 : 0.000247s : 0.24% 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 : 0.02% optimize.opt_a.merge_send_recv : 0.000022s : 0.02% optimize.opt_a.auto_parallel : 0.000020s : 0.02% optimize.opt_a.parallel : 0.000044s : 0.04% optimize.opt_a.flash_sp : 0.000015s : 0.01% optimize.opt_a.merge_comm : 0.000012s : 0.01% optimize.opt_a.allreduce_fusion : 0.000011s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000024s : 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 : 0.000017s : 0.02% optimize.opt_a.get_grad_eliminate_ : 0.000017s : 0.02% optimize.opt_a.virtual_output : 0.000017s : 0.02% optimize.opt_a.merge_forward : 0.000012s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% optimize.opt_a.offload_activation : 0.000029s : 0.03% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000041s : 0.04% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000034s : 0.03% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000014s : 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 : 0.000027s : 0.03% optimize.opt_a.a_after_grad : 0.000026s : 0.03% optimize.opt_a.renormalize : 0.000943s : 0.93% optimize.opt_a.add_forward_monad_depend : 0.000010s : 0.01% optimize.opt_a.auto_monad_grad : 0.000004s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000042s : 0.04% optimize.opt_a.cse : 0.000070s : 0.07% optimize.opt_a.a_3 : 0.000125s : 0.12% optimize.py_interpret_to_execute_after_opt_a : 0.000016s : 0.02% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000189s : 0.19% optimize.convert_after_rewriter : 0.000014s : 0.01% optimize.order_py_execute_after_rewriter : 0.000007s : 0.01% optimize.mutable_eliminate : 0.000774s : 0.76% optimize.opt_b.b_1 : 0.000189s : 0.19% optimize.opt_b.b_2 : 0.000011s : 0.01% optimize.opt_b.updatestate_depend_eliminate : 0.000010s : 0.01% optimize.opt_b.updatestate_assign_eliminate : 0.000005s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000005s : 0.00% optimize.opt_b.renormalize : 0.000000s : 0.00% optimize.opt_b.cse : 0.000026s : 0.03% optimize.optimize_parallel_all_gather_comm : 0.000055s : 0.05% optimize.overlap_param_gather : 0.000006s : 0.01% optimize.cconv : 0.000034s : 0.03% optimize.loop_unroll : 0.000492s : 0.49% optimize.opt_after_cconv.c_1 : 0.000053s : 0.05% optimize.opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000008s : 0.01% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.cse : 0.000024s : 0.02% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000017s : 0.02% optimize.tuple_transform.d_1 : 0.000058s : 0.06% 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 : 0.000083s : 0.08% optimize.cse_after_recomputation.cse : 0.000016s : 0.02% optimize.environ_conv : 0.000006s : 0.01% optimize.swap_dp_allreduce_reducescatter : 0.000009s : 0.01% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000005s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000001s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000034s : 0.03% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000002s : 0.00% optimize.full_micro_interleaved_order_control : 0.000003s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000004s : 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 : 0.000003s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000021s : 0.02% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 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 : 0.000002s : 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 : 0.000000s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000003s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000005s : 0.01% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000015s : 0.01% optimize.symbol_engine_optimizer.elim_not_effective : 0.000019s : 0.02% optimize.symbol_engine_optimizer.opt_reshape : 0.000010s : 0.01% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000015s : 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 : 0.000031s : 0.03% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000527s : 0.52% validate : 0.000058s : 0.06% Time group info: ------[substitution.] 0.000180 55 6.09% : 0.000011s : 2: substitution.depend_value_elim 1.50% : 0.000003s : 5: substitution.elim_not_effective 1.24% : 0.000002s : 5: substitution.fold_const_symbol 4.32% : 0.000008s : 6: substitution.graph_param_transform 59.79% : 0.000108s : 1: substitution.inline 3.27% : 0.000006s : 10: substitution.j_node_and_user_rematch 4.76% : 0.000009s : 10: substitution.remove_not_recompute_node 2.69% : 0.000005s : 2: substitution.replace_old_param 8.50% : 0.000015s : 6: substitution.updatestate_pure_node_eliminater 7.84% : 0.000014s : 8: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.094531 2 99.51% : 0.094067s : 1: type_inference.infer 0.49% : 0.000463s : 1: type_inference.specialize ------[replace.] 0.000018 1 100.00% : 0.000018s : 1: replace.inline ------[match.] 0.000107 1 100.00% : 0.000107s : 1: match.inline ------[predicate.] 0.000241 1419 0.80% : 0.000002s : 13: predicate.accumulaten_eliminater 1.04% : 0.000003s : 6: predicate.ad_related_special_op_eliminate 0.68% : 0.000002s : 12: predicate.addn_check_dump 0.85% : 0.000002s : 13: predicate.addn_zero_filter 0.74% : 0.000002s : 13: predicate.adjust_all_reduce_mul_add 2.81% : 0.000007s : 25: predicate.arithmetic_simplify 0.80% : 0.000002s : 13: predicate.cast_eliminate 0.76% : 0.000002s : 12: predicate.check_bprop_eliminate 0.66% : 0.000002s : 12: predicate.compare_switch_simplify 0.20% : 0.000000s : 6: predicate.const_output_eliminate 0.78% : 0.000002s : 12: predicate.depend_value_elim 0.87% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 0.84% : 0.000002s : 13: predicate.dict_get_item_eliminator 0.77% : 0.000002s : 13: predicate.dict_set_item_eliminator 1.13% : 0.000003s : 12: predicate.dumpgradient_eliminate 0.27% : 0.000001s : 6: predicate.elim_not_effective 0.53% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.20% : 0.000003s : 19: predicate.environ_add_const_eliminate 1.14% : 0.000003s : 19: predicate.environ_get_add_eliminate 1.09% : 0.000003s : 19: predicate.environ_get_depend_swap 1.88% : 0.000005s : 31: predicate.environ_get_eliminate 1.06% : 0.000003s : 19: predicate.environ_get_set_eliminate 0.93% : 0.000002s : 14: predicate.exchange_switch_depend_value 1.57% : 0.000004s : 14: predicate.float_depend_g_call 0.87% : 0.000002s : 12: predicate.float_environ_get_switch 1.09% : 0.000003s : 18: predicate.float_tuple_getitem_switch 0.22% : 0.000001s : 6: predicate.fold_const_symbol 0.85% : 0.000002s : 12: predicate.get_grad_eliminate 0.26% : 0.000001s : 6: predicate.graph_param_transform 0.77% : 0.000002s : 12: predicate.incorporate_call 0.63% : 0.000002s : 12: predicate.incorporate_call_switch 5.46% : 0.000013s : 63: predicate.inline 0.91% : 0.000002s : 12: predicate.inline_without_move 0.39% : 0.000001s : 12: predicate.j_node_and_user_rematch 1.46% : 0.000004s : 12: predicate.less_batch_normalization 1.73% : 0.000004s : 25: predicate.list_to_tuple_eliminator_ 2.14% : 0.000005s : 38: predicate.load_eliminater 1.12% : 0.000003s : 6: predicate.loop_unroll_after_grad 1.13% : 0.000003s : 17: predicate.loop_unroll_before_grad 1.83% : 0.000004s : 25: predicate.make_slice_get_slice_eliminator 0.78% : 0.000002s : 12: predicate.merge_addn 0.75% : 0.000002s : 12: predicate.micro_step_allgather_replace 0.78% : 0.000002s : 12: predicate.mini_step_allgather_replace 0.79% : 0.000002s : 13: predicate.minmaximum_grad 1.59% : 0.000004s : 6: predicate.mutable_eliminate 0.47% : 0.000001s : 6: predicate.opt_reshape 0.47% : 0.000001s : 6: predicate.parallel_virtual_node 1.15% : 0.000003s : 14: predicate.partial_defer_inline 1.24% : 0.000003s : 19: predicate.partial_eliminate 0.82% : 0.000002s : 13: predicate.print_const_string_wrapper 0.76% : 0.000002s : 12: predicate.reduce_all_const_elim 1.03% : 0.000002s : 13: predicate.reduce_eliminate 2.21% : 0.000005s : 38: predicate.redundant_stop_gradient_eliminater 0.81% : 0.000002s : 12: predicate.remove_not_recompute_node 1.19% : 0.000003s : 25: predicate.replace_applicator 0.63% : 0.000002s : 12: predicate.replace_old_param 0.30% : 0.000001s : 6: predicate.reset_defer_inline 0.85% : 0.000002s : 13: predicate.reshape_eliminate 0.85% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.58% : 0.000001s : 6: predicate.row_tensor_eliminate 1.15% : 0.000003s : 12: predicate.same_eliminate 0.53% : 0.000001s : 12: predicate.set_cell_output_no_recompute 1.08% : 0.000003s : 12: predicate.shard_identity_eliminate 0.92% : 0.000002s : 12: predicate.special_op_eliminate 0.89% : 0.000002s : 12: predicate.specialize_transform 1.24% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 1.08% : 0.000003s : 12: predicate.stack_unstack_eliminate 0.41% : 0.000001s : 6: predicate.switch_call_monad_eliminater 0.92% : 0.000002s : 14: predicate.switch_defer_inline 1.60% : 0.000004s : 26: predicate.switch_layer_defer_inline 3.48% : 0.000008s : 49: predicate.switch_simplify 0.83% : 0.000002s : 13: predicate.tile_eliminate 0.92% : 0.000002s : 13: predicate.transpose_eliminate 1.70% : 0.000004s : 25: predicate.tuple_list_convert_item_index_to_positive 1.70% : 0.000004s : 25: predicate.tuple_list_get_item_const_eliminator 1.46% : 0.000004s : 25: predicate.tuple_list_get_item_depend_reorder 3.20% : 0.000008s : 37: predicate.tuple_list_get_item_eliminator 1.47% : 0.000004s : 25: predicate.tuple_list_get_set_item_eliminator 2.55% : 0.000006s : 37: predicate.tuple_list_set_item_eliminator 1.68% : 0.000004s : 25: predicate.tuple_to_list_eliminator_ 2.41% : 0.000006s : 38: predicate.updatestate_pure_node_eliminater 3.30% : 0.000008s : 50: predicate.updatestate_useless_node_eliminater 0.44% : 0.000001s : 6: predicate.value_based_eliminate 0.85% : 0.000002s : 12: predicate.virtual_dataset_eliminate 1.06% : 0.000003s : 12: predicate.virtual_output_eliminate 0.35% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.53% : 0.000001s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000285 4 7.90% : 0.000023s : 1: func_graph_cloner_run.FuncGraphClonerGraph 92.10% : 0.000263s : 3: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.120031 192 0.00% : 0.000005s : 1: ForceFp32Comm 3.74% : 0.004489s : 1: add_attr 3.73% : 0.004474s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.07% : 0.000088s : 1: add_recomputation 0.03% : 0.000041s : 1: assign_add_opt 0.13% : 0.000152s : 1: auto_monad 0.03% : 0.000035s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.01% : 0.000006s : 1: bias_add_comm_swap 0.47% : 0.000565s : 1: bootstrap 0.03% : 0.000037s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.02% : 0.000024s : 1: control_data_broadcast_order 0.02% : 0.000019s : 1: convert_after_rewriter 0.03% : 0.000031s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.01% : 0.000006s : 1: detach_backward 0.01% : 0.000010s : 1: environ_conv 0.02% : 0.000024s : 1: event_method 0.01% : 0.000006s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.01% : 0.000010s : 1: graph_reusing 0.00% : 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 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000005s : 1: interleave_split_concat_branches 0.01% : 0.000006s : 1: label_fine_grained_interleaved_index 0.01% : 0.000008s : 1: label_micro_interleaved_index 0.42% : 0.000501s : 1: loop_unroll 0.00% : 0.000006s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.65% : 0.000784s : 1: mutable_eliminate 0.01% : 0.000009s : 1: offloading_packed_experts 0.02% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.02% : 0.000021s : 1: opt.transform.mutable_eliminate 1.03% : 0.001241s : 78: opt.transform.opt_a 0.04% : 0.000052s : 1: opt.transform.opt_after_cconv 0.03% : 0.000032s : 1: opt.transform.opt_after_jit_grad 0.14% : 0.000173s : 28: opt.transform.opt_b 0.05% : 0.000065s : 2: opt.transform.opt_trans_graph 0.05% : 0.000056s : 4: opt.transform.symbol_engine_opt 2.81% : 0.003370s : 1: opt_a 0.12% : 0.000148s : 1: opt_after_cconv 0.45% : 0.000536s : 1: opt_after_jit_grad 0.25% : 0.000301s : 1: opt_b 5.20% : 0.006243s : 1: optimize 0.05% : 0.000061s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000011s : 1: order_py_execute_after_rewriter 0.03% : 0.000036s : 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 0.01% : 0.000007s : 1: overlap_opt_shard_in_pipeline 0.01% : 0.000010s : 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% : 0.000005s : 1: overlap_recompute_comm 0.01% : 0.000007s : 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% : 0.000036s : 1: pre_auto_parallel 0.02% : 0.000029s : 1: py_interpret_to_execute 0.02% : 0.000021s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000005s : 1: remove_cast_before_assign_add 0.02% : 0.000020s : 1: remove_dup_value 0.47% : 0.000568s : 1: renormalize.infer 0.30% : 0.000365s : 1: renormalize.specialize 0.01% : 0.000007s : 1: reorder_send_recv_between_fp_bp 0.01% : 0.000008s : 1: rewriter_after_jit_bprop_graph 0.16% : 0.000195s : 1: rewriter_after_opt_a 0.05% : 0.000066s : 1: rewriter_before_opt_a 0.01% : 0.000007s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.01% : 0.000006s : 1: split_matmul_comm_elemetwise 0.01% : 0.000012s : 1: swap_dp_allreduce_reducescatter 0.09% : 0.000106s : 1: symbol_engine_optimizer 0.08% : 0.000100s : 1: tuple_transform 78.83% : 0.094626s : 1: type_inference TotalTime = 0.433428, [21] [bootstrap]: 0.00054902 [type_inference]: 0.161246 [event_method]: 9.89e-05 [auto_monad]: 0.00035194 [graph_reusing]: 1.112e-05 [inline]: 3.06001e-06 [add_attr]: 0.00447163, [1] [add_attr_with_inline]: 0.00445782, [1] [Cycle 1]: 0.00010572, [2] [tag_attr]: 4.458e-05 [meta_addattr_fg_expand]: 1.064e-05 [parallel-infer-symbol]: 4.23001e-06 [pre_auto_parallel]: 6.656e-05 [insert-virtual-dataset]: 3.33e-06 [parallel-infer-symbol-second]: 7.10017e-07 [dataset_repeat_opt]: 2.18002e-06 [pipeline_split]: 1.64e-06 [optimize]: 0.265593, [53] [py_interpret_to_execute]: 5.303e-05 [rewriter_before_opt_a]: 0.00016543 [opt_a]: 0.251474, [3] [Cycle 1]: 0.183471, [45] [expand_dump_flag]: 8.85999e-06 [switch_simplify]: 7.237e-05 [loop_unroll]: 6.697e-05 [a_1]: 0.00258629 [with_stream_mark]: 5.312e-05 [recompute_prepare]: 4.159e-05 [updatestate_depend_eliminate]: 1.63e-05 [updatestate_assign_eliminate]: 1.333e-05 [updatestate_loads_eliminate]: 1.202e-05 [parameter_eliminate]: 4.12e-06 [a_2]: 0.00034223 [accelerated_algorithm]: 4.996e-05 [shard]: 2.78998e-06 [meta_shard_fg_expand]: 1.094e-05 [shard_inline]: 2.089e-05 [merge_send_recv]: 2.697e-05 [auto_parallel]: 5.486e-05 [parallel]: 2.378e-05 [flash_sp]: 1.856e-05 [merge_comm]: 1.686e-05 [allreduce_fusion]: 1.304e-05 [matmul_add_comm_reduction]: 4.757e-05 [allreduce_slice_to_reducescatter]: 9.20001e-07 [virtual_shard_identity]: 3.055e-05 [virtual_dataset]: 2.491e-05 [get_grad_eliminate_]: 2.239e-05 [virtual_output]: 2.313e-05 [merge_forward]: 1.593e-05 [cell_reuse_recompute_pass]: 2.02001e-06 [offload_activation]: 3.112e-05 [cell_reuse_handle_not_recompute_node_pass]: 5.377e-05 [merge_recompute_call_nodes]: 2.22999e-06 [before_grad]: 4.632e-05 [set_forward_comm_id_for_comm_node_pass]: 1.801e-05 [meta_fg_expand]: 0.101852 [flash_sp_send_recv_attached]: 6.90002e-06 [receive_attached]: 2.53e-06 [after_resolve]: 0.00019538 [a_after_grad]: 0.00021966 [renormalize]: 0.0746125 [add_forward_monad_depend]: 2.61e-05 [auto_monad_grad]: 1.468e-05 [auto_monad_eliminator]: 0.0001594 [cse]: 0.00034693 [a_3]: 0.0017398 [Cycle 2]: 0.0666908, [45] [expand_dump_flag]: 4.89e-06 [switch_simplify]: 0.00011438 [loop_unroll]: 0.00010465 [a_1]: 0.06313 [with_stream_mark]: 4.098e-05 [recompute_prepare]: 2.51e-05 [updatestate_depend_eliminate]: 7.037e-05 [updatestate_assign_eliminate]: 8.12e-06 [updatestate_loads_eliminate]: 6.72002e-06 [parameter_eliminate]: 2.54999e-06 [a_2]: 0.0001833 [accelerated_algorithm]: 1.944e-05 [shard]: 2.64001e-06 [meta_shard_fg_expand]: 8.05999e-06 [shard_inline]: 1.359e-05 [merge_send_recv]: 1.554e-05 [auto_parallel]: 1.53e-05 [parallel]: 1.163e-05 [flash_sp]: 5.55001e-06 [merge_comm]: 6.88e-06 [allreduce_fusion]: 6.48e-06 [matmul_add_comm_reduction]: 1.442e-05 [allreduce_slice_to_reducescatter]: 6.00005e-07 [virtual_shard_identity]: 1.523e-05 [virtual_dataset]: 1.26e-05 [get_grad_eliminate_]: 1.19e-05 [virtual_output]: 1.113e-05 [merge_forward]: 7.35998e-06 [cell_reuse_recompute_pass]: 3.61001e-06 [offload_activation]: 1.7e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.629e-05 [merge_recompute_call_nodes]: 1.91e-06 [before_grad]: 2.131e-05 [set_forward_comm_id_for_comm_node_pass]: 8.69e-06 [meta_fg_expand]: 8.827e-05 [flash_sp_send_recv_attached]: 2.21998e-06 [receive_attached]: 2.84999e-06 [after_resolve]: 2.5e-05 [a_after_grad]: 2.02e-05 [renormalize]: 0.00193944 [add_forward_monad_depend]: 1.094e-05 [auto_monad_grad]: 2.74999e-06 [auto_monad_eliminator]: 3.197e-05 [cse]: 0.00014194 [a_3]: 0.00010246 [Cycle 3]: 0.00128682, [45] [expand_dump_flag]: 3.21001e-06 [switch_simplify]: 1.542e-05 [loop_unroll]: 1.286e-05 [a_1]: 0.00032653 [with_stream_mark]: 2.149e-05 [recompute_prepare]: 1.35e-05 [updatestate_depend_eliminate]: 8.85999e-06 [updatestate_assign_eliminate]: 6.88e-06 [updatestate_loads_eliminate]: 6.76e-06 [parameter_eliminate]: 2.09999e-06 [a_2]: 0.00018271 [accelerated_algorithm]: 1.936e-05 [shard]: 2.11998e-06 [meta_shard_fg_expand]: 3.51999e-06 [shard_inline]: 1.331e-05 [merge_send_recv]: 1.344e-05 [auto_parallel]: 1.497e-05 [parallel]: 1.13e-05 [flash_sp]: 1.50999e-06 [merge_comm]: 8.12e-06 [allreduce_fusion]: 6.71999e-06 [matmul_add_comm_reduction]: 1.506e-05 [allreduce_slice_to_reducescatter]: 8.39995e-07 [virtual_shard_identity]: 1.638e-05 [virtual_dataset]: 1.32e-05 [get_grad_eliminate_]: 1.189e-05 [virtual_output]: 1.187e-05 [merge_forward]: 7.59002e-06 [cell_reuse_recompute_pass]: 2.96001e-06 [offload_activation]: 1.66e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.55e-05 [merge_recompute_call_nodes]: 2.01e-06 [before_grad]: 2.189e-05 [set_forward_comm_id_for_comm_node_pass]: 7.92e-06 [meta_fg_expand]: 4.67e-06 [flash_sp_send_recv_attached]: 1.92001e-06 [receive_attached]: 2.57001e-06 [after_resolve]: 2.108e-05 [a_after_grad]: 1.893e-05 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 2.81e-06 [auto_monad_grad]: 2.64001e-06 [auto_monad_eliminator]: 2.458e-05 [cse]: 3.903e-05 [a_3]: 7.795e-05 [py_interpret_to_execute_after_opt_a]: 2.414e-05 [slice_cell_reuse_recomputed_activation]: 2.47001e-06 [rewriter_after_opt_a]: 8.213e-05 [convert_after_rewriter]: 0.0104969 [order_py_execute_after_rewriter]: 3.565e-05 [mutable_eliminate]: 0.00089763 [opt_b]: 0.00044877, [1] [Cycle 1]: 0.00043653, [7] [b_1]: 0.00027219 [b_2]: 1.415e-05 [updatestate_depend_eliminate]: 1.463e-05 [updatestate_assign_eliminate]: 7.01001e-06 [updatestate_loads_eliminate]: 6.44001e-06 [renormalize]: 8.30012e-07 [cse]: 7.149e-05 [optimize_parallel_all_gather_comm]: 3.123e-05 [overlap_param_gather]: 2.48e-06 [cconv]: 3.889e-05 [loop_unroll]: 0.00066885 [opt_after_cconv]: 0.00019897, [1] [Cycle 1]: 0.00018963, [7] [c_1]: 7.329e-05 [parameter_eliminate]: 4.72e-06 [updatestate_depend_eliminate]: 1.119e-05 [updatestate_assign_eliminate]: 6.09999e-06 [updatestate_loads_eliminate]: 6.14999e-06 [cse]: 4.368e-05 [renormalize]: 5.59987e-07 [remove_dup_value]: 2.221e-05 [tuple_transform]: 0.00012681, [1] [Cycle 1]: 0.00012081, [4] [d_1]: 8.367e-05 [none_parameter_eliminate]: 2.21e-06 [renormalize]: 1.90019e-07 [switch_simplify]: 1.211e-05 [partial_unused_args_eliminate]: 1.92999e-06 [add_recomputation]: 0.00011292 [cse_after_recomputation]: 4.924e-05, [1] [Cycle 1]: 4.283e-05, [1] [cse]: 3.413e-05 [environ_conv]: 1.473e-05 [swap_dp_allreduce_reducescatter]: 1.108e-05 [bias_add_comm_swap]: 3.73001e-06 [label_micro_interleaved_index]: 3.329e-05 [label_fine_grained_interleaved_index]: 3.9e-06 [merge_cast_opt]: 1.79e-06 [slice_recompute_activation]: 2.78003e-06 [micro_interleaved_order_control]: 2.64999e-06 [assign_add_opt]: 1.47999e-06 [ForceFp32Comm]: 9.00007e-07 [remove_cast_before_assign_add]: 1.13001e-06 [full_micro_interleaved_order_control]: 2.84001e-06 [reorder_send_recv_between_fp_bp]: 3.23e-06 [comm_op_add_attrs]: 1.37999e-06 [add_comm_op_reuse_tag]: 1.27999e-06 [interleave_split_concat_branches]: 1.37e-06 [interleave_parallel_branches]: 1.61998e-06 [overlap_opt_shard_in_pipeline]: 1.31002e-06 [overlap_opt_shard_grad_in_pipeline]: 1.71e-06 [control_data_broadcast_order]: 2.633e-05 [grouped_pairwise_exchange_alltoall]: 1.69e-06 [offloading_packed_experts]: 6.09001e-06 [overlap_recompute_and_grad_model_parallel]: 7.41001e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.40001e-06 [overlap_recompute_allgather_and_fa_grad]: 1.60999e-06 [overlap_recompute_comm]: 2.43e-06 [overlap_grad_ring_attention]: 6.63e-06 [overlap_grad_flash_sp]: 3.714e-05 [begin_end_overlap_inline]: 5.50004e-07 [split_matmul_comm_elemetwise]: 2.33002e-06 [split_layernorm_comm]: 1.87999e-06 [handle_group_info]: 1.05999e-06 [symbol_engine_optimizer]: 0.00013949, [1] [Cycle 1]: 0.00013272, [6] [build]: 1.59e-05 [elim_shapecalc]: 2.104e-05 [elim_not_effective]: 2.444e-05 [opt_reshape]: 1.275e-05 [fold_const_symbol]: 1.943e-05 [renormalize]: 2.80008e-07 [detach_backward]: 2.71e-06 [pipeline_parallel_scheduler]: 1.63002e-06 [auto_monad_reorder]: 3.997e-05 [get_jit_bprop_graph]: 2.01e-06 [rewriter_after_jit_bprop_graph]: 6.74999e-06 [opt_after_jit_grad]: 0.00068261 [validate]: 7.017e-05 Sums bootstrap : 0.000549s : 0.13% type_inference : 0.161246s : 37.75% event_method : 0.000099s : 0.02% auto_monad : 0.000352s : 0.08% graph_reusing : 0.000011s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000045s : 0.01% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000011s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000067s : 0.02% 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 : 0.000053s : 0.01% optimize.rewriter_before_opt_a : 0.000165s : 0.04% optimize.opt_a.expand_dump_flag : 0.000017s : 0.00% optimize.opt_a.switch_simplify : 0.000202s : 0.05% optimize.opt_a.loop_unroll : 0.000184s : 0.04% optimize.opt_a.a_1 : 0.066043s : 15.46% optimize.opt_a.with_stream_mark : 0.000116s : 0.03% optimize.opt_a.recompute_prepare : 0.000080s : 0.02% optimize.opt_a.updatestate_depend_eliminate : 0.000096s : 0.02% optimize.opt_a.updatestate_assign_eliminate : 0.000028s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000026s : 0.01% optimize.opt_a.parameter_eliminate : 0.000009s : 0.00% optimize.opt_a.a_2 : 0.000708s : 0.17% optimize.opt_a.accelerated_algorithm : 0.000089s : 0.02% optimize.opt_a.shard : 0.000008s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000023s : 0.01% optimize.opt_a.shard_inline : 0.000048s : 0.01% optimize.opt_a.merge_send_recv : 0.000056s : 0.01% optimize.opt_a.auto_parallel : 0.000085s : 0.02% optimize.opt_a.parallel : 0.000047s : 0.01% optimize.opt_a.flash_sp : 0.000026s : 0.01% optimize.opt_a.merge_comm : 0.000032s : 0.01% optimize.opt_a.allreduce_fusion : 0.000026s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000077s : 0.02% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000062s : 0.01% optimize.opt_a.virtual_dataset : 0.000051s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000046s : 0.01% optimize.opt_a.virtual_output : 0.000046s : 0.01% optimize.opt_a.merge_forward : 0.000031s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000009s : 0.00% optimize.opt_a.offload_activation : 0.000065s : 0.02% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000106s : 0.02% optimize.opt_a.merge_recompute_call_nodes : 0.000006s : 0.00% optimize.opt_a.before_grad : 0.000090s : 0.02% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000035s : 0.01% optimize.opt_a.meta_fg_expand : 0.101945s : 23.87% optimize.opt_a.flash_sp_send_recv_attached : 0.000011s : 0.00% optimize.opt_a.receive_attached : 0.000008s : 0.00% optimize.opt_a.after_resolve : 0.000241s : 0.06% optimize.opt_a.a_after_grad : 0.000259s : 0.06% optimize.opt_a.renormalize : 0.076552s : 17.92% optimize.opt_a.add_forward_monad_depend : 0.000040s : 0.01% optimize.opt_a.auto_monad_grad : 0.000020s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000216s : 0.05% optimize.opt_a.cse : 0.000528s : 0.12% optimize.opt_a.a_3 : 0.001920s : 0.45% optimize.py_interpret_to_execute_after_opt_a : 0.000024s : 0.01% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000082s : 0.02% optimize.convert_after_rewriter : 0.010497s : 2.46% optimize.order_py_execute_after_rewriter : 0.000036s : 0.01% optimize.mutable_eliminate : 0.000898s : 0.21% optimize.opt_b.b_1 : 0.000272s : 0.06% optimize.opt_b.b_2 : 0.000014s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000015s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000007s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000006s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000071s : 0.02% optimize.optimize_parallel_all_gather_comm : 0.000031s : 0.01% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000039s : 0.01% optimize.loop_unroll : 0.000669s : 0.16% optimize.opt_after_cconv.c_1 : 0.000073s : 0.02% optimize.opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000011s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000006s : 0.00% optimize.opt_after_cconv.cse : 0.000044s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000022s : 0.01% optimize.tuple_transform.d_1 : 0.000084s : 0.02% 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 : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000113s : 0.03% optimize.cse_after_recomputation.cse : 0.000034s : 0.01% optimize.environ_conv : 0.000015s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000011s : 0.00% optimize.bias_add_comm_swap : 0.000004s : 0.00% optimize.label_micro_interleaved_index : 0.000033s : 0.01% optimize.label_fine_grained_interleaved_index : 0.000004s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000003s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000001s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000003s : 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 : 0.000002s : 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 : 0.000026s : 0.01% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000006s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000007s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000002s : 0.00% optimize.overlap_recompute_comm : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000007s : 0.00% optimize.overlap_grad_flash_sp : 0.000037s : 0.01% 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 : 0.000016s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000021s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000024s : 0.01% optimize.symbol_engine_optimizer.opt_reshape : 0.000013s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000019s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000003s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000040s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000683s : 0.16% validate : 0.000070s : 0.02% Time group info: ------[substitution.] 0.002780 310 0.69% : 0.000019s : 4: substitution.depend_value_elim 0.12% : 0.000003s : 7: substitution.elim_not_effective 0.30% : 0.000008s : 7: substitution.float_depend_g_call 0.20% : 0.000006s : 2: substitution.float_tuple_getitem_switch 0.10% : 0.000003s : 7: substitution.fold_const_symbol 35.68% : 0.000992s : 4: substitution.getattr_setattr_resolve 0.34% : 0.000010s : 9: substitution.graph_param_transform 0.12% : 0.000003s : 2: substitution.incorporate_call 0.09% : 0.000002s : 2: substitution.incorporate_call_switch 40.77% : 0.001134s : 24: substitution.inline 1.88% : 0.000052s : 5: substitution.inline_without_move 0.60% : 0.000017s : 28: substitution.j_node_and_user_rematch 0.88% : 0.000025s : 3: substitution.less_batch_normalization 0.64% : 0.000018s : 9: substitution.minmaximum_grad 0.37% : 0.000010s : 7: substitution.partial_eliminate 0.75% : 0.000021s : 28: substitution.remove_not_recompute_node 3.92% : 0.000109s : 38: substitution.replace_applicator 0.79% : 0.000022s : 19: substitution.replace_old_param 0.15% : 0.000004s : 1: substitution.set_cell_output_no_recompute 1.29% : 0.000036s : 9: substitution.tuple_list_convert_item_index_to_positive 0.59% : 0.000016s : 9: substitution.tuple_list_get_item_const_eliminator 0.82% : 0.000023s : 9: substitution.tuple_list_get_item_depend_reorder 5.19% : 0.000144s : 31: substitution.tuple_list_get_item_eliminator 0.81% : 0.000022s : 9: substitution.tuple_list_get_set_item_eliminator 1.21% : 0.000034s : 16: substitution.updatestate_pure_node_eliminater 1.68% : 0.000047s : 21: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.161120 2 88.45% : 0.142513s : 1: type_inference.infer 11.55% : 0.018607s : 1: type_inference.specialize ------[replace.] 0.000643 49 11.55% : 0.000074s : 3: replace.getattr_setattr_resolve 39.64% : 0.000255s : 24: replace.inline 10.32% : 0.000066s : 1: replace.replace_applicator 34.54% : 0.000222s : 20: replace.tuple_list_get_item_eliminator 3.95% : 0.000025s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.002183 49 43.07% : 0.000940s : 3: match.getattr_setattr_resolve 51.13% : 0.001116s : 24: match.inline 0.90% : 0.000020s : 1: match.replace_applicator 4.38% : 0.000096s : 20: match.tuple_list_get_item_eliminator 0.52% : 0.000011s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.061103 8683 0.02% : 0.000014s : 85: predicate.accumulaten_eliminater 0.01% : 0.000004s : 9: predicate.ad_related_special_op_eliminate 0.01% : 0.000006s : 37: predicate.addn_check_dump 0.02% : 0.000015s : 85: predicate.addn_zero_filter 0.02% : 0.000012s : 85: predicate.adjust_all_reduce_mul_add 0.04% : 0.000024s : 122: predicate.arithmetic_simplify 0.02% : 0.000013s : 85: predicate.cast_eliminate 0.06% : 0.000034s : 260: predicate.check_bprop_eliminate 0.01% : 0.000005s : 37: predicate.compare_switch_simplify 0.00% : 0.000001s : 9: predicate.const_output_eliminate 0.01% : 0.000006s : 37: predicate.depend_value_elim 0.03% : 0.000017s : 85: predicate.dict_get_item_const_eliminator 97.74% : 0.059720s : 85: predicate.dict_get_item_eliminator 0.02% : 0.000013s : 85: predicate.dict_set_item_eliminator 0.01% : 0.000004s : 18: predicate.dumpgradient_eliminate 0.00% : 0.000001s : 9: predicate.elim_not_effective 0.00% : 0.000002s : 9: predicate.elim_shapecalc_of_broadcastargs 0.02% : 0.000014s : 94: predicate.environ_add_const_eliminate 0.02% : 0.000014s : 94: predicate.environ_get_add_eliminate 0.02% : 0.000014s : 94: predicate.environ_get_depend_swap 0.03% : 0.000020s : 131: predicate.environ_get_eliminate 0.02% : 0.000014s : 94: predicate.environ_get_set_eliminate 0.03% : 0.000019s : 130: predicate.exchange_switch_depend_value 0.05% : 0.000028s : 130: predicate.float_depend_g_call 0.01% : 0.000005s : 37: predicate.float_environ_get_switch 0.01% : 0.000007s : 46: predicate.float_tuple_getitem_switch 0.00% : 0.000001s : 9: predicate.fold_const_symbol 0.01% : 0.000006s : 37: predicate.get_grad_eliminate 0.01% : 0.000008s : 20: predicate.getattr_setattr_resolve 0.00% : 0.000001s : 9: predicate.graph_param_transform 0.01% : 0.000005s : 37: predicate.incorporate_call 0.01% : 0.000005s : 37: predicate.incorporate_call_switch 0.11% : 0.000065s : 307: predicate.inline 0.03% : 0.000021s : 111: predicate.inline_without_move 0.00% : 0.000003s : 37: predicate.j_node_and_user_rematch 0.01% : 0.000008s : 37: predicate.less_batch_normalization 0.03% : 0.000021s : 123: predicate.list_to_tuple_eliminator_ 0.05% : 0.000029s : 208: predicate.load_eliminater 0.01% : 0.000004s : 9: predicate.loop_unroll_after_grad 0.04% : 0.000027s : 197: predicate.loop_unroll_before_grad 0.03% : 0.000016s : 103: predicate.make_slice_get_slice_eliminator 0.01% : 0.000005s : 37: predicate.merge_addn 0.05% : 0.000033s : 256: predicate.micro_step_allgather_replace 0.05% : 0.000033s : 256: predicate.mini_step_allgather_replace 0.02% : 0.000012s : 85: predicate.minmaximum_grad 0.01% : 0.000005s : 9: predicate.mutable_eliminate 0.00% : 0.000002s : 9: predicate.opt_reshape 0.00% : 0.000002s : 9: predicate.parallel_virtual_node 0.05% : 0.000030s : 130: predicate.partial_defer_inline 0.03% : 0.000018s : 114: predicate.partial_eliminate 0.02% : 0.000012s : 85: predicate.print_const_string_wrapper 0.01% : 0.000006s : 37: predicate.reduce_all_const_elim 0.03% : 0.000018s : 85: predicate.reduce_eliminate 0.05% : 0.000030s : 208: predicate.redundant_stop_gradient_eliminater 0.01% : 0.000004s : 37: predicate.remove_not_recompute_node 0.05% : 0.000032s : 363: predicate.replace_applicator 0.02% : 0.000010s : 111: predicate.replace_old_param 0.00% : 0.000001s : 9: predicate.reset_defer_inline 0.02% : 0.000013s : 85: predicate.reshape_eliminate 0.06% : 0.000035s : 256: predicate.row_tensor_add_zeros_like 0.00% : 0.000002s : 9: predicate.row_tensor_eliminate 0.06% : 0.000036s : 260: predicate.same_eliminate 0.01% : 0.000004s : 39: predicate.set_cell_output_no_recompute 0.01% : 0.000007s : 37: predicate.shard_identity_eliminate 0.01% : 0.000003s : 18: predicate.special_op_eliminate 0.01% : 0.000006s : 37: predicate.specialize_transform 0.06% : 0.000036s : 256: predicate.split_environ_get_set_with_tuple_value 0.03% : 0.000020s : 111: predicate.stack_unstack_eliminate 0.00% : 0.000002s : 9: predicate.switch_call_monad_eliminater 0.03% : 0.000021s : 130: predicate.switch_defer_inline 0.14% : 0.000086s : 390: predicate.switch_layer_defer_inline 0.09% : 0.000056s : 373: predicate.switch_simplify 0.07% : 0.000041s : 85: predicate.tile_eliminate 0.02% : 0.000014s : 85: predicate.transpose_eliminate 0.03% : 0.000016s : 103: predicate.tuple_list_convert_item_index_to_positive 0.03% : 0.000017s : 103: predicate.tuple_list_get_item_const_eliminator 0.02% : 0.000015s : 103: predicate.tuple_list_get_item_depend_reorder 0.06% : 0.000036s : 160: predicate.tuple_list_get_item_eliminator 0.03% : 0.000017s : 103: predicate.tuple_list_get_set_item_eliminator 0.04% : 0.000024s : 140: predicate.tuple_list_set_item_eliminator 0.03% : 0.000021s : 123: predicate.tuple_to_list_eliminator_ 0.05% : 0.000029s : 208: predicate.updatestate_pure_node_eliminater 0.06% : 0.000037s : 246: predicate.updatestate_useless_node_eliminater 0.00% : 0.000002s : 9: predicate.value_based_eliminate 0.01% : 0.000006s : 37: predicate.virtual_dataset_eliminate 0.01% : 0.000006s : 37: predicate.virtual_output_eliminate 0.00% : 0.000001s : 9: predicate.virtual_view_grad_eliminate 0.00% : 0.000002s : 9: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.066727 53 97.09% : 0.064783s : 23: func_graph_cloner_run.FuncGraphClonerGraph 2.91% : 0.001944s : 30: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.851566 243 0.00% : 0.000004s : 1: ForceFp32Comm 0.53% : 0.004479s : 1: add_attr 0.52% : 0.004463s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.01% : 0.000119s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.04% : 0.000366s : 1: auto_monad 0.01% : 0.000047s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.07% : 0.000577s : 1: bootstrap 0.01% : 0.000044s : 1: cconv 0.00% : 0.000005s : 1: comm_op_add_attrs 0.00% : 0.000030s : 1: control_data_broadcast_order 1.24% : 0.010535s : 1: convert_after_rewriter 0.01% : 0.000053s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000008s : 1: detach_backward 0.00% : 0.000019s : 1: environ_conv 0.01% : 0.000115s : 1: event_method 0.00% : 0.000006s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000017s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000007s : 1: inline 0.00% : 0.000007s : 1: insert-virtual-dataset 0.00% : 0.000005s : 1: interleave_parallel_branches 0.00% : 0.000006s : 1: interleave_split_concat_branches 0.00% : 0.000008s : 1: label_fine_grained_interleaved_index 0.00% : 0.000041s : 1: label_micro_interleaved_index 0.08% : 0.000683s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.11% : 0.000913s : 1: mutable_eliminate 0.00% : 0.000009s : 1: offloading_packed_experts 0.01% : 0.000088s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000038s : 1: opt.transform.mutable_eliminate 8.21% : 0.069942s : 125: opt.transform.opt_a 0.01% : 0.000072s : 1: opt.transform.opt_after_cconv 0.01% : 0.000049s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.000249s : 28: opt.transform.opt_b 0.13% : 0.001137s : 2: opt.transform.opt_resolve 0.01% : 0.000094s : 2: opt.transform.opt_trans_graph 0.01% : 0.000073s : 4: opt.transform.symbol_engine_opt 29.53% : 0.251479s : 1: opt_a 0.02% : 0.000203s : 1: opt_after_cconv 0.08% : 0.000699s : 1: opt_after_jit_grad 0.05% : 0.000454s : 1: opt_b 31.19% : 0.265601s : 1: optimize 0.00% : 0.000036s : 1: optimize_parallel_all_gather_comm 0.01% : 0.000044s : 1: order_py_execute_after_rewriter 0.00% : 0.000041s : 1: overlap_grad_flash_sp 0.00% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000010s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000004s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000006s : 1: overlap_param_gather 0.00% : 0.000006s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000011s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000005s : 1: overlap_recompute_comm 0.00% : 0.000008s : 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 0.01% : 0.000071s : 1: pre_auto_parallel 0.01% : 0.000057s : 1: py_interpret_to_execute 0.00% : 0.000029s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000026s : 1: remove_dup_value 8.37% : 0.071252s : 2: renormalize.infer 0.62% : 0.005268s : 2: renormalize.specialize 0.00% : 0.000007s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000089s : 1: rewriter_after_opt_a 0.02% : 0.000171s : 1: rewriter_before_opt_a 0.00% : 0.000006s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000006s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000014s : 1: swap_dp_allreduce_reducescatter 0.02% : 0.000143s : 1: symbol_engine_optimizer 0.02% : 0.000130s : 1: tuple_transform 18.94% : 0.161280s : 1: type_inference . [hook] pytest_runtest_teardown:test_sigmoid__mathematical_properties[0] tests/st/tensor/test_sigmoid_.py::test_sigmoid__mathematical_properties[0],max_mem:4.0M [WARNING] ME(162156:281473129860912,MainProcess):2026-01-29-17:38:03.171.171 [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. . [hook] pytest_runtest_teardown:test_sigmoid__mathematical_properties[1] tests/st/tensor/test_sigmoid_.py::test_sigmoid__mathematical_properties[1],max_mem:4.0M =============================== warnings summary =============================== ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222: DeprecationWarning: invalid escape sequence \B """ ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170: DeprecationWarning: invalid escape sequence \c """ ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perlayer") -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 2 passed, 25 warnings in 80.40s (0:01:20) ===================