==================================================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/mint, configfile: ../../../../../../sault/virtual_test/virtualenv_004/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 2 items test_functional_cosine_embedding_loss.py [WARNING] ME(171241:281472958406448,MainProcess):2026-01-29-17:39:32.311.096 [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 = 4.19161, [21] [bootstrap]: 0.00062911 [type_inference]: 3.75039 [event_method]: 5.396e-05 [auto_monad]: 0.00019438 [graph_reusing]: 6.92002e-06 [inline]: 2.82002e-06 [add_attr]: 0.133771, [1] [add_attr_with_inline]: 0.133752, [1] [Cycle 1]: 0.000166, [2] [tag_attr]: 6.018e-05 [meta_addattr_fg_expand]: 1.341e-05 [parallel-infer-symbol]: 4.68001e-06 [pre_auto_parallel]: 8.359e-05 [insert-virtual-dataset]: 2.78e-06 [parallel-infer-symbol-second]: 1.60001e-06 [dataset_repeat_opt]: 2.24999e-06 [pipeline_split]: 1.79998e-06 [optimize]: 0.304932, [53] [py_interpret_to_execute]: 1.029e-05 [rewriter_before_opt_a]: 0.00023175 [opt_a]: 0.298299, [2] [Cycle 1]: 0.134425, [45] [expand_dump_flag]: 3.73999e-06 [switch_simplify]: 0.00019097 [loop_unroll]: 6.299e-05 [a_1]: 0.00158166 [with_stream_mark]: 6.769e-05 [recompute_prepare]: 4.771e-05 [updatestate_depend_eliminate]: 2.803e-05 [updatestate_assign_eliminate]: 1.876e-05 [updatestate_loads_eliminate]: 1.836e-05 [parameter_eliminate]: 2.87002e-06 [a_2]: 0.0005595 [accelerated_algorithm]: 4.27e-05 [shard]: 5.24e-06 [meta_shard_fg_expand]: 1.56e-05 [shard_inline]: 3.732e-05 [merge_send_recv]: 4.197e-05 [auto_parallel]: 2.984e-05 [parallel]: 6.016e-05 [flash_sp]: 2.428e-05 [merge_comm]: 2.539e-05 [allreduce_fusion]: 2.359e-05 [matmul_add_comm_reduction]: 3.446e-05 [allreduce_slice_to_reducescatter]: 1.24998e-06 [virtual_shard_identity]: 5.015e-05 [virtual_dataset]: 3.75e-05 [get_grad_eliminate_]: 3.56e-05 [virtual_output]: 3.458e-05 [merge_forward]: 2.805e-05 [cell_reuse_recompute_pass]: 2.96001e-06 [offload_activation]: 3.898e-05 [cell_reuse_handle_not_recompute_node_pass]: 7.21e-05 [merge_recompute_call_nodes]: 1.84e-06 [before_grad]: 6.347e-05 [set_forward_comm_id_for_comm_node_pass]: 2.781e-05 [meta_fg_expand]: 1.818e-05 [flash_sp_send_recv_attached]: 4.16001e-06 [receive_attached]: 2.94999e-06 [after_resolve]: 4.658e-05 [a_after_grad]: 5.808e-05 [renormalize]: 0.12995 [add_forward_monad_depend]: 2.031e-05 [auto_monad_grad]: 3.33e-06 [auto_monad_eliminator]: 8.553e-05 [cse]: 0.00021874 [a_3]: 0.00025806 [Cycle 2]: 0.163856, [45] [expand_dump_flag]: 4.23999e-06 [switch_simplify]: 3.956e-05 [loop_unroll]: 3.136e-05 [a_1]: 0.00097697 [with_stream_mark]: 5.589e-05 [recompute_prepare]: 4.155e-05 [updatestate_depend_eliminate]: 2.922e-05 [updatestate_assign_eliminate]: 1.858e-05 [updatestate_loads_eliminate]: 1.861e-05 [parameter_eliminate]: 2.56e-06 [a_2]: 0.160986 [accelerated_algorithm]: 4.626e-05 [shard]: 5.05001e-06 [meta_shard_fg_expand]: 2.217e-05 [shard_inline]: 3.545e-05 [merge_send_recv]: 5.671e-05 [auto_parallel]: 3.268e-05 [parallel]: 1.084e-05 [flash_sp]: 5.69999e-06 [merge_comm]: 2.452e-05 [allreduce_fusion]: 2.162e-05 [matmul_add_comm_reduction]: 3.722e-05 [allreduce_slice_to_reducescatter]: 8.70001e-07 [virtual_shard_identity]: 5.049e-05 [virtual_dataset]: 3.425e-05 [get_grad_eliminate_]: 3.242e-05 [virtual_output]: 3.3e-05 [merge_forward]: 2.67e-05 [cell_reuse_recompute_pass]: 4.62e-06 [offload_activation]: 3.807e-05 [cell_reuse_handle_not_recompute_node_pass]: 7.632e-05 [merge_recompute_call_nodes]: 1.96e-06 [before_grad]: 5.879e-05 [set_forward_comm_id_for_comm_node_pass]: 2.513e-05 [meta_fg_expand]: 2.04e-05 [flash_sp_send_recv_attached]: 2.43e-06 [receive_attached]: 2.63e-06 [after_resolve]: 4.318e-05 [a_after_grad]: 5.466e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 7.90998e-06 [auto_monad_grad]: 3.01001e-06 [auto_monad_eliminator]: 6.439e-05 [cse]: 0.00018056 [a_3]: 0.00023731 [py_interpret_to_execute_after_opt_a]: 1.369e-05 [slice_cell_reuse_recomputed_activation]: 2.33002e-06 [rewriter_after_opt_a]: 0.00014486 [convert_after_rewriter]: 1.29998e-06 [order_py_execute_after_rewriter]: 1.13001e-06 [mutable_eliminate]: 0.00094339 [opt_b]: 0.0016045, [1] [Cycle 1]: 0.00159025, [7] [b_1]: 0.00116818 [b_2]: 4.289e-05 [updatestate_depend_eliminate]: 7.9e-05 [updatestate_assign_eliminate]: 1.985e-05 [updatestate_loads_eliminate]: 2.084e-05 [renormalize]: 1.18001e-06 [cse]: 0.00018359 [optimize_parallel_all_gather_comm]: 6.825e-05 [overlap_param_gather]: 3.23998e-06 [cconv]: 5.832e-05 [loop_unroll]: 0.00081988 [opt_after_cconv]: 0.00056153, [1] [Cycle 1]: 0.00054961, [7] [c_1]: 0.00021664 [parameter_eliminate]: 7.67002e-06 [updatestate_depend_eliminate]: 5.975e-05 [updatestate_assign_eliminate]: 2.098e-05 [updatestate_loads_eliminate]: 2.181e-05 [cse]: 0.00016745 [renormalize]: 4.69998e-07 [remove_dup_value]: 0.00022757 [tuple_transform]: 0.00038548, [1] [Cycle 1]: 0.00037602, [4] [d_1]: 0.00029643 [none_parameter_eliminate]: 3.8e-06 [renormalize]: 4.89992e-07 [switch_simplify]: 3.998e-05 [partial_unused_args_eliminate]: 3.41999e-06 [add_recomputation]: 0.00025356 [cse_after_recomputation]: 0.00013777, [1] [Cycle 1]: 0.00012861, [1] [cse]: 0.00011662 [environ_conv]: 4.342e-05 [swap_dp_allreduce_reducescatter]: 9.46e-05 [bias_add_comm_swap]: 3.26999e-06 [label_micro_interleaved_index]: 9.49999e-06 [label_fine_grained_interleaved_index]: 2.87002e-06 [merge_cast_opt]: 1.97999e-06 [slice_recompute_activation]: 2.26e-06 [micro_interleaved_order_control]: 2.48e-06 [assign_add_opt]: 1.92001e-06 [ForceFp32Comm]: 1.05001e-06 [remove_cast_before_assign_add]: 1.05001e-06 [full_micro_interleaved_order_control]: 2.36e-06 [reorder_send_recv_between_fp_bp]: 3.03e-06 [comm_op_add_attrs]: 1.10999e-06 [add_comm_op_reuse_tag]: 1.33002e-06 [interleave_split_concat_branches]: 1.32999e-06 [interleave_parallel_branches]: 1.10001e-06 [overlap_opt_shard_in_pipeline]: 3.026e-05 [overlap_opt_shard_grad_in_pipeline]: 2.11998e-06 [control_data_broadcast_order]: 6.517e-05 [grouped_pairwise_exchange_alltoall]: 1.47001e-06 [offloading_packed_experts]: 1.585e-05 [overlap_recompute_and_grad_model_parallel]: 1.565e-05 [overlap_grad_matmul_and_grad_allreduce]: 1.85001e-06 [overlap_recompute_allgather_and_fa_grad]: 1.32e-06 [overlap_recompute_comm]: 2.86999e-06 [overlap_grad_ring_attention]: 1.52e-05 [overlap_grad_flash_sp]: 9.631e-05 [begin_end_overlap_inline]: 5.89993e-07 [split_matmul_comm_elemetwise]: 2.43e-06 [split_layernorm_comm]: 1.71e-06 [handle_group_info]: 1.00001e-06 [symbol_engine_optimizer]: 0.00032468, [1] [Cycle 1]: 0.00031559, [6] [build]: 2.003e-05 [elim_shapecalc]: 6.039e-05 [elim_not_effective]: 6.866e-05 [opt_reshape]: 3.566e-05 [fold_const_symbol]: 5.67e-05 [renormalize]: 5.19998e-07 [detach_backward]: 3.2e-06 [pipeline_parallel_scheduler]: 1.82001e-06 [auto_monad_reorder]: 8.745e-05 [get_jit_bprop_graph]: 2.27001e-06 [rewriter_after_jit_bprop_graph]: 6.89999e-06 [opt_after_jit_grad]: 0.00102592 [validate]: 0.00016325 Sums bootstrap : 0.000629s : 0.02% type_inference : 3.750386s : 92.46% event_method : 0.000054s : 0.00% auto_monad : 0.000194s : 0.00% graph_reusing : 0.000007s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000060s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000013s : 0.00% parallel-infer-symbol : 0.000005s : 0.00% pre_auto_parallel : 0.000084s : 0.00% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000002s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000010s : 0.00% optimize.rewriter_before_opt_a : 0.000232s : 0.01% optimize.opt_a.expand_dump_flag : 0.000008s : 0.00% optimize.opt_a.switch_simplify : 0.000231s : 0.01% optimize.opt_a.loop_unroll : 0.000094s : 0.00% optimize.opt_a.a_1 : 0.002559s : 0.06% optimize.opt_a.with_stream_mark : 0.000124s : 0.00% optimize.opt_a.recompute_prepare : 0.000089s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000057s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000037s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000037s : 0.00% optimize.opt_a.parameter_eliminate : 0.000005s : 0.00% optimize.opt_a.a_2 : 0.161545s : 3.98% optimize.opt_a.accelerated_algorithm : 0.000089s : 0.00% optimize.opt_a.shard : 0.000010s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000038s : 0.00% optimize.opt_a.shard_inline : 0.000073s : 0.00% optimize.opt_a.merge_send_recv : 0.000099s : 0.00% optimize.opt_a.auto_parallel : 0.000063s : 0.00% optimize.opt_a.parallel : 0.000071s : 0.00% optimize.opt_a.flash_sp : 0.000030s : 0.00% optimize.opt_a.merge_comm : 0.000050s : 0.00% optimize.opt_a.allreduce_fusion : 0.000045s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000072s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000101s : 0.00% optimize.opt_a.virtual_dataset : 0.000072s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000068s : 0.00% optimize.opt_a.virtual_output : 0.000068s : 0.00% optimize.opt_a.merge_forward : 0.000055s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000008s : 0.00% optimize.opt_a.offload_activation : 0.000077s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000148s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000004s : 0.00% optimize.opt_a.before_grad : 0.000122s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000053s : 0.00% optimize.opt_a.meta_fg_expand : 0.000039s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000007s : 0.00% optimize.opt_a.receive_attached : 0.000006s : 0.00% optimize.opt_a.after_resolve : 0.000090s : 0.00% optimize.opt_a.a_after_grad : 0.000113s : 0.00% optimize.opt_a.renormalize : 0.129950s : 3.20% optimize.opt_a.add_forward_monad_depend : 0.000028s : 0.00% optimize.opt_a.auto_monad_grad : 0.000006s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000150s : 0.00% optimize.opt_a.cse : 0.000399s : 0.01% optimize.opt_a.a_3 : 0.000495s : 0.01% optimize.py_interpret_to_execute_after_opt_a : 0.000014s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000145s : 0.00% optimize.convert_after_rewriter : 0.000001s : 0.00% optimize.order_py_execute_after_rewriter : 0.000001s : 0.00% optimize.mutable_eliminate : 0.000943s : 0.02% optimize.opt_b.b_1 : 0.001168s : 0.03% optimize.opt_b.b_2 : 0.000043s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000079s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000020s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000021s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000184s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.000068s : 0.00% optimize.overlap_param_gather : 0.000003s : 0.00% optimize.cconv : 0.000058s : 0.00% optimize.loop_unroll : 0.000820s : 0.02% optimize.opt_after_cconv.c_1 : 0.000217s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000008s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000060s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000021s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000022s : 0.00% optimize.opt_after_cconv.cse : 0.000167s : 0.00% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000228s : 0.01% optimize.tuple_transform.d_1 : 0.000296s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000004s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000040s : 0.00% optimize.partial_unused_args_eliminate : 0.000003s : 0.00% optimize.add_recomputation : 0.000254s : 0.01% optimize.cse_after_recomputation.cse : 0.000117s : 0.00% optimize.environ_conv : 0.000043s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000095s : 0.00% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000009s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 0.00% optimize.assign_add_opt : 0.000002s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000002s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.00% optimize.comm_op_add_attrs : 0.000001s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000001s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000030s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000065s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000001s : 0.00% optimize.offloading_packed_experts : 0.000016s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000016s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000002s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000003s : 0.00% optimize.overlap_grad_ring_attention : 0.000015s : 0.00% optimize.overlap_grad_flash_sp : 0.000096s : 0.00% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000020s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000060s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000069s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000036s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000057s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000001s : 0.00% detach_backward : 0.000003s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000087s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.001026s : 0.03% validate : 0.000163s : 0.00% Time group info: ------[substitution.] 0.000536 206 14.28% : 0.000077s : 16: substitution.arithmetic_simplify 5.99% : 0.000032s : 2: substitution.cast_eliminate 1.72% : 0.000009s : 24: substitution.elim_not_effective 1.52% : 0.000008s : 24: substitution.fold_const_symbol 4.69% : 0.000025s : 29: substitution.graph_param_transform 54.73% : 0.000293s : 5: substitution.inline 4.10% : 0.000022s : 48: substitution.j_node_and_user_rematch 5.93% : 0.000032s : 48: substitution.remove_not_recompute_node 1.71% : 0.000009s : 6: substitution.replace_old_param 2.21% : 0.000012s : 2: substitution.switch_simplify 3.12% : 0.000017s : 2: substitution.value_based_eliminate ------[type_inference.] 3.750228 2 93.24% : 3.496692s : 1: type_inference.infer 6.76% : 0.253536s : 1: type_inference.specialize ------[replace.] 0.000122 7 40.46% : 0.000049s : 5: replace.inline 59.54% : 0.000072s : 2: replace.switch_simplify ------[match.] 0.000300 7 96.71% : 0.000290s : 5: match.inline 3.29% : 0.000010s : 2: match.switch_simplify ------[predicate.] 0.001119 6979 0.79% : 0.000009s : 64: predicate.accumulaten_eliminater 1.25% : 0.000014s : 29: predicate.ad_related_special_op_eliminate 0.73% : 0.000008s : 60: predicate.addn_check_dump 0.87% : 0.000010s : 64: predicate.addn_zero_filter 0.77% : 0.000009s : 64: predicate.adjust_all_reduce_mul_add 2.15% : 0.000024s : 124: predicate.arithmetic_simplify 0.81% : 0.000009s : 64: predicate.cast_eliminate 0.78% : 0.000009s : 58: predicate.check_bprop_eliminate 1.07% : 0.000012s : 60: predicate.compare_switch_simplify 0.22% : 0.000003s : 29: predicate.const_output_eliminate 0.80% : 0.000009s : 60: predicate.depend_value_elim 0.85% : 0.000010s : 64: predicate.dict_get_item_const_eliminator 0.94% : 0.000010s : 64: predicate.dict_get_item_eliminator 0.74% : 0.000008s : 64: predicate.dict_set_item_eliminator 1.00% : 0.000011s : 58: predicate.dumpgradient_eliminate 0.25% : 0.000003s : 29: predicate.elim_not_effective 0.64% : 0.000007s : 29: predicate.elim_shapecalc_of_broadcastargs 1.14% : 0.000013s : 93: predicate.environ_add_const_eliminate 1.13% : 0.000013s : 93: predicate.environ_get_add_eliminate 1.14% : 0.000013s : 93: predicate.environ_get_depend_swap 1.91% : 0.000021s : 153: predicate.environ_get_eliminate 1.16% : 0.000013s : 93: predicate.environ_get_set_eliminate 0.83% : 0.000009s : 69: predicate.exchange_switch_depend_value 1.10% : 0.000012s : 69: predicate.float_depend_g_call 0.84% : 0.000009s : 60: predicate.float_environ_get_switch 1.13% : 0.000013s : 89: predicate.float_tuple_getitem_switch 0.19% : 0.000002s : 29: predicate.fold_const_symbol 0.90% : 0.000010s : 60: predicate.get_grad_eliminate 0.25% : 0.000003s : 29: predicate.graph_param_transform 0.78% : 0.000009s : 60: predicate.incorporate_call 0.69% : 0.000008s : 60: predicate.incorporate_call_switch 5.16% : 0.000058s : 311: predicate.inline 1.13% : 0.000013s : 60: predicate.inline_without_move 0.37% : 0.000004s : 60: predicate.j_node_and_user_rematch 1.09% : 0.000012s : 60: predicate.less_batch_normalization 1.73% : 0.000019s : 122: predicate.list_to_tuple_eliminator_ 2.55% : 0.000028s : 186: predicate.load_eliminater 1.16% : 0.000013s : 29: predicate.loop_unroll_after_grad 1.07% : 0.000012s : 84: predicate.loop_unroll_before_grad 1.64% : 0.000018s : 122: predicate.make_slice_get_slice_eliminator 2.34% : 0.000026s : 60: predicate.merge_addn 0.73% : 0.000008s : 58: predicate.micro_step_allgather_replace 0.78% : 0.000009s : 58: predicate.mini_step_allgather_replace 0.76% : 0.000008s : 64: predicate.minmaximum_grad 1.29% : 0.000014s : 29: predicate.mutable_eliminate 0.42% : 0.000005s : 29: predicate.opt_reshape 0.41% : 0.000005s : 29: predicate.parallel_virtual_node 1.45% : 0.000016s : 69: predicate.partial_defer_inline 1.21% : 0.000014s : 93: predicate.partial_eliminate 0.76% : 0.000009s : 64: predicate.print_const_string_wrapper 0.74% : 0.000008s : 60: predicate.reduce_all_const_elim 1.00% : 0.000011s : 64: predicate.reduce_eliminate 2.48% : 0.000028s : 186: predicate.redundant_stop_gradient_eliminater 0.44% : 0.000005s : 60: predicate.remove_not_recompute_node 1.06% : 0.000012s : 122: predicate.replace_applicator 0.44% : 0.000005s : 60: predicate.replace_old_param 1.74% : 0.000019s : 29: predicate.reset_defer_inline 0.82% : 0.000009s : 64: predicate.reshape_eliminate 0.81% : 0.000009s : 58: predicate.row_tensor_add_zeros_like 0.57% : 0.000006s : 29: predicate.row_tensor_eliminate 0.90% : 0.000010s : 58: predicate.same_eliminate 0.48% : 0.000005s : 60: predicate.set_cell_output_no_recompute 0.95% : 0.000011s : 60: predicate.shard_identity_eliminate 0.83% : 0.000009s : 58: predicate.special_op_eliminate 0.88% : 0.000010s : 60: predicate.specialize_transform 0.91% : 0.000010s : 58: predicate.split_environ_get_set_with_tuple_value 0.88% : 0.000010s : 60: predicate.stack_unstack_eliminate 0.41% : 0.000005s : 29: predicate.switch_call_monad_eliminater 0.90% : 0.000010s : 69: predicate.switch_defer_inline 1.72% : 0.000019s : 127: predicate.switch_layer_defer_inline 3.61% : 0.000040s : 246: predicate.switch_simplify 0.83% : 0.000009s : 64: predicate.tile_eliminate 0.76% : 0.000009s : 64: predicate.transpose_eliminate 1.63% : 0.000018s : 122: predicate.tuple_list_convert_item_index_to_positive 1.58% : 0.000018s : 122: predicate.tuple_list_get_item_const_eliminator 1.50% : 0.000017s : 122: predicate.tuple_list_get_item_depend_reorder 2.77% : 0.000031s : 182: predicate.tuple_list_get_item_eliminator 1.73% : 0.000019s : 122: predicate.tuple_list_get_set_item_eliminator 2.51% : 0.000028s : 182: predicate.tuple_list_set_item_eliminator 1.70% : 0.000019s : 122: predicate.tuple_to_list_eliminator_ 2.23% : 0.000025s : 186: predicate.updatestate_pure_node_eliminater 3.17% : 0.000035s : 246: predicate.updatestate_useless_node_eliminater 0.53% : 0.000006s : 29: predicate.value_based_eliminate 0.92% : 0.000010s : 60: predicate.virtual_dataset_eliminate 0.83% : 0.000009s : 60: predicate.virtual_output_eliminate 0.41% : 0.000005s : 29: predicate.virtual_view_grad_eliminate 0.45% : 0.000005s : 29: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.035092 45 57.97% : 0.020341s : 38: func_graph_cloner_run.FuncGraphClonerGraph 42.03% : 0.014750s : 7: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 4.927886 192 0.00% : 0.000005s : 1: ForceFp32Comm 2.71% : 0.133779s : 1: add_attr 2.71% : 0.133759s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.01% : 0.000264s : 1: add_recomputation 0.00% : 0.000005s : 1: assign_add_opt 0.00% : 0.000201s : 1: auto_monad 0.00% : 0.000095s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.01% : 0.000677s : 1: bootstrap 0.00% : 0.000063s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000071s : 1: control_data_broadcast_order 0.00% : 0.000005s : 1: convert_after_rewriter 0.00% : 0.000142s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.00% : 0.000050s : 1: environ_conv 0.00% : 0.000064s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000011s : 1: graph_reusing 0.00% : 0.000005s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000006s : 1: inline 0.00% : 0.000007s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000005s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000013s : 1: label_micro_interleaved_index 0.02% : 0.000839s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000006s : 1: micro_interleaved_order_control 0.02% : 0.000963s : 1: mutable_eliminate 0.00% : 0.000020s : 1: offloading_packed_experts 0.00% : 0.000068s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000082s : 1: opt.transform.mutable_eliminate 3.36% : 0.165770s : 78: opt.transform.opt_a 0.00% : 0.000214s : 1: opt.transform.opt_after_cconv 0.00% : 0.000136s : 1: opt.transform.opt_after_jit_grad 0.02% : 0.001143s : 28: opt.transform.opt_b 0.01% : 0.000331s : 2: opt.transform.opt_trans_graph 0.00% : 0.000214s : 4: opt.transform.symbol_engine_opt 6.05% : 0.298304s : 1: opt_a 0.01% : 0.000566s : 1: opt_after_cconv 0.02% : 0.001048s : 1: opt_after_jit_grad 0.03% : 0.001610s : 1: opt_b 6.19% : 0.304939s : 1: optimize 0.00% : 0.000101s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000004s : 1: order_py_execute_after_rewriter 0.00% : 0.000103s : 1: overlap_grad_flash_sp 0.00% : 0.000005s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000019s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000035s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000010s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000019s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000011s : 1: parallel-infer-symbol 0.00% : 0.000005s : 1: parallel-infer-symbol-second 0.00% : 0.000012s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.00% : 0.000090s : 1: pre_auto_parallel 0.00% : 0.000015s : 1: py_interpret_to_execute 0.00% : 0.000018s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000237s : 1: remove_dup_value 2.55% : 0.125855s : 1: renormalize.infer 0.08% : 0.004072s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000014s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000152s : 1: rewriter_after_opt_a 0.00% : 0.000240s : 1: rewriter_before_opt_a 0.00% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000006s : 1: slice_recompute_activation 0.00% : 0.000005s : 1: split_layernorm_comm 0.00% : 0.000006s : 1: split_matmul_comm_elemetwise 0.00% : 0.000103s : 1: swap_dp_allreduce_reducescatter 0.01% : 0.000328s : 1: symbol_engine_optimizer 0.01% : 0.000417s : 1: tuple_transform 76.11% : 3.750420s : 1: type_inference TotalTime = 2.57785, [21] [bootstrap]: 0.00057319 [type_inference]: 2.21445 [event_method]: 5.279e-05 [auto_monad]: 0.00016727 [graph_reusing]: 6.61999e-06 [inline]: 3.21001e-06 [add_attr]: 0.0772594, [1] [add_attr_with_inline]: 0.0772388, [1] [Cycle 1]: 0.00069593, [2] [tag_attr]: 0.00059521 [meta_addattr_fg_expand]: 3.731e-05 [parallel-infer-symbol]: 5.85002e-06 [pre_auto_parallel]: 0.0004454 [insert-virtual-dataset]: 2.84999e-06 [parallel-infer-symbol-second]: 1.84998e-06 [dataset_repeat_opt]: 2.42001e-06 [pipeline_split]: 1.57001e-06 [optimize]: 0.2835, [53] [py_interpret_to_execute]: 1.516e-05 [rewriter_before_opt_a]: 0.0001883 [opt_a]: 0.277117, [2] [Cycle 1]: 0.10707, [45] [expand_dump_flag]: 3.97002e-06 [switch_simplify]: 0.00017196 [loop_unroll]: 5.41e-05 [a_1]: 0.00158943 [with_stream_mark]: 6.731e-05 [recompute_prepare]: 4.498e-05 [updatestate_depend_eliminate]: 8.933e-05 [updatestate_assign_eliminate]: 2.095e-05 [updatestate_loads_eliminate]: 1.922e-05 [parameter_eliminate]: 2.93998e-06 [a_2]: 0.088631 [accelerated_algorithm]: 4.532e-05 [shard]: 3.91999e-06 [meta_shard_fg_expand]: 2.565e-05 [shard_inline]: 3.65e-05 [merge_send_recv]: 4.719e-05 [auto_parallel]: 3.241e-05 [parallel]: 3.495e-05 [flash_sp]: 2.661e-05 [merge_comm]: 2.72e-05 [allreduce_fusion]: 2.539e-05 [matmul_add_comm_reduction]: 4.317e-05 [allreduce_slice_to_reducescatter]: 9.5999e-07 [virtual_shard_identity]: 5.663e-05 [virtual_dataset]: 4.755e-05 [get_grad_eliminate_]: 4.477e-05 [virtual_output]: 4.489e-05 [merge_forward]: 3.988e-05 [cell_reuse_recompute_pass]: 4.38001e-06 [offload_activation]: 4.359e-05 [cell_reuse_handle_not_recompute_node_pass]: 9.192e-05 [merge_recompute_call_nodes]: 1.55001e-06 [before_grad]: 8.037e-05 [set_forward_comm_id_for_comm_node_pass]: 4.147e-05 [meta_fg_expand]: 2.018e-05 [flash_sp_send_recv_attached]: 4.3e-06 [receive_attached]: 2.21998e-06 [after_resolve]: 5.414e-05 [a_after_grad]: 6.769e-05 [renormalize]: 0.01435 [add_forward_monad_depend]: 1.979e-05 [auto_monad_grad]: 3.13e-06 [auto_monad_eliminator]: 8.138e-05 [cse]: 0.00018742 [a_3]: 0.0002803 [Cycle 2]: 0.170026, [45] [expand_dump_flag]: 2.76e-06 [switch_simplify]: 3.834e-05 [loop_unroll]: 3.189e-05 [a_1]: 0.167679 [with_stream_mark]: 9.161e-05 [recompute_prepare]: 4.938e-05 [updatestate_depend_eliminate]: 3.039e-05 [updatestate_assign_eliminate]: 1.971e-05 [updatestate_loads_eliminate]: 2.768e-05 [parameter_eliminate]: 3.36001e-06 [a_2]: 0.00049698 [accelerated_algorithm]: 3.57e-05 [shard]: 3.36001e-06 [meta_shard_fg_expand]: 2.165e-05 [shard_inline]: 3.487e-05 [merge_send_recv]: 3.416e-05 [auto_parallel]: 2.78e-05 [parallel]: 1.038e-05 [flash_sp]: 4.99e-06 [merge_comm]: 2.606e-05 [allreduce_fusion]: 2.242e-05 [matmul_add_comm_reduction]: 3.714e-05 [allreduce_slice_to_reducescatter]: 1.20999e-06 [virtual_shard_identity]: 3.984e-05 [virtual_dataset]: 3.354e-05 [get_grad_eliminate_]: 3.124e-05 [virtual_output]: 3.163e-05 [merge_forward]: 2.513e-05 [cell_reuse_recompute_pass]: 4.13999e-06 [offload_activation]: 3.712e-05 [cell_reuse_handle_not_recompute_node_pass]: 7.122e-05 [merge_recompute_call_nodes]: 1.62001e-06 [before_grad]: 5.88e-05 [set_forward_comm_id_for_comm_node_pass]: 2.503e-05 [meta_fg_expand]: 1.789e-05 [flash_sp_send_recv_attached]: 1.62001e-06 [receive_attached]: 2.29999e-06 [after_resolve]: 4.241e-05 [a_after_grad]: 5.281e-05 [renormalize]: 2.89991e-07 [add_forward_monad_depend]: 4.65999e-06 [auto_monad_grad]: 3.74002e-06 [auto_monad_eliminator]: 6.253e-05 [cse]: 0.00017619 [a_3]: 0.00023172 [py_interpret_to_execute_after_opt_a]: 1.456e-05 [slice_cell_reuse_recomputed_activation]: 2.58e-06 [rewriter_after_opt_a]: 0.00010702 [convert_after_rewriter]: 1.39e-06 [order_py_execute_after_rewriter]: 1.30999e-06 [mutable_eliminate]: 0.00091519 [opt_b]: 0.00132449, [1] [Cycle 1]: 0.00131256, [7] [b_1]: 0.00088382 [b_2]: 3.866e-05 [updatestate_depend_eliminate]: 4.832e-05 [updatestate_assign_eliminate]: 2.638e-05 [updatestate_loads_eliminate]: 2.272e-05 [renormalize]: 5.29981e-07 [cse]: 0.00022866 [optimize_parallel_all_gather_comm]: 6.916e-05 [overlap_param_gather]: 2.69999e-06 [cconv]: 5.441e-05 [loop_unroll]: 0.00069452 [opt_after_cconv]: 0.00055292, [1] [Cycle 1]: 0.00054314, [7] [c_1]: 0.00024811 [parameter_eliminate]: 6.73998e-06 [updatestate_depend_eliminate]: 5.328e-05 [updatestate_assign_eliminate]: 2.084e-05 [updatestate_loads_eliminate]: 2.141e-05 [cse]: 0.00013831 [renormalize]: 5.8001e-07 [remove_dup_value]: 0.00023947 [tuple_transform]: 0.00035077, [1] [Cycle 1]: 0.00034131, [4] [d_1]: 0.00026626 [none_parameter_eliminate]: 4.30999e-06 [renormalize]: 1.59984e-07 [switch_simplify]: 4.14e-05 [partial_unused_args_eliminate]: 3.11001e-06 [add_recomputation]: 0.00028273 [cse_after_recomputation]: 0.00013607, [1] [Cycle 1]: 0.00012444, [1] [cse]: 0.00011287 [environ_conv]: 0.00010115 [swap_dp_allreduce_reducescatter]: 3.3e-05 [bias_add_comm_swap]: 3.3e-06 [label_micro_interleaved_index]: 7.23999e-06 [label_fine_grained_interleaved_index]: 2.73e-06 [merge_cast_opt]: 1.55001e-06 [slice_recompute_activation]: 2.32001e-06 [micro_interleaved_order_control]: 2.27999e-06 [assign_add_opt]: 1.72999e-06 [ForceFp32Comm]: 8.39995e-07 [remove_cast_before_assign_add]: 1.19e-06 [full_micro_interleaved_order_control]: 2.48e-06 [reorder_send_recv_between_fp_bp]: 2.73998e-06 [comm_op_add_attrs]: 1.25999e-06 [add_comm_op_reuse_tag]: 1.35999e-06 [interleave_split_concat_branches]: 1.19998e-06 [interleave_parallel_branches]: 1.09e-06 [overlap_opt_shard_in_pipeline]: 1.32e-06 [overlap_opt_shard_grad_in_pipeline]: 1.83997e-06 [control_data_broadcast_order]: 0.00010613 [grouped_pairwise_exchange_alltoall]: 1.71e-06 [offloading_packed_experts]: 1.651e-05 [overlap_recompute_and_grad_model_parallel]: 1.62e-05 [overlap_grad_matmul_and_grad_allreduce]: 1.17e-06 [overlap_recompute_allgather_and_fa_grad]: 1.43002e-06 [overlap_recompute_comm]: 2.36e-06 [overlap_grad_ring_attention]: 1.48e-05 [overlap_grad_flash_sp]: 7.865e-05 [begin_end_overlap_inline]: 5.3001e-07 [split_matmul_comm_elemetwise]: 3.09999e-06 [split_layernorm_comm]: 2.26e-06 [handle_group_info]: 1.17999e-06 [symbol_engine_optimizer]: 0.00070297, [1] [Cycle 1]: 0.00069484, [6] [build]: 1.882e-05 [elim_shapecalc]: 0.00044782 [elim_not_effective]: 7.71e-05 [opt_reshape]: 3.717e-05 [fold_const_symbol]: 5.855e-05 [renormalize]: 5.10016e-07 [detach_backward]: 3.06001e-06 [pipeline_parallel_scheduler]: 1.84e-06 [auto_monad_reorder]: 7.371e-05 [get_jit_bprop_graph]: 2.07001e-06 [rewriter_after_jit_bprop_graph]: 6.46e-06 [opt_after_jit_grad]: 0.00093399 [validate]: 0.00012525 Sums bootstrap : 0.000573s : 0.02% type_inference : 2.214451s : 88.59% event_method : 0.000053s : 0.00% auto_monad : 0.000167s : 0.01% graph_reusing : 0.000007s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000595s : 0.02% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000037s : 0.00% parallel-infer-symbol : 0.000006s : 0.00% pre_auto_parallel : 0.000445s : 0.02% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000002s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000015s : 0.00% optimize.rewriter_before_opt_a : 0.000188s : 0.01% optimize.opt_a.expand_dump_flag : 0.000007s : 0.00% optimize.opt_a.switch_simplify : 0.000210s : 0.01% optimize.opt_a.loop_unroll : 0.000086s : 0.00% optimize.opt_a.a_1 : 0.169268s : 6.77% optimize.opt_a.with_stream_mark : 0.000159s : 0.01% optimize.opt_a.recompute_prepare : 0.000094s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000120s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000041s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000047s : 0.00% optimize.opt_a.parameter_eliminate : 0.000006s : 0.00% optimize.opt_a.a_2 : 0.089128s : 3.57% optimize.opt_a.accelerated_algorithm : 0.000081s : 0.00% optimize.opt_a.shard : 0.000007s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000047s : 0.00% optimize.opt_a.shard_inline : 0.000071s : 0.00% optimize.opt_a.merge_send_recv : 0.000081s : 0.00% optimize.opt_a.auto_parallel : 0.000060s : 0.00% optimize.opt_a.parallel : 0.000045s : 0.00% optimize.opt_a.flash_sp : 0.000032s : 0.00% optimize.opt_a.merge_comm : 0.000053s : 0.00% optimize.opt_a.allreduce_fusion : 0.000048s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000080s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000096s : 0.00% optimize.opt_a.virtual_dataset : 0.000081s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000076s : 0.00% optimize.opt_a.virtual_output : 0.000077s : 0.00% optimize.opt_a.merge_forward : 0.000065s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000009s : 0.00% optimize.opt_a.offload_activation : 0.000081s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000163s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000139s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000067s : 0.00% optimize.opt_a.meta_fg_expand : 0.000038s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000006s : 0.00% optimize.opt_a.receive_attached : 0.000005s : 0.00% optimize.opt_a.after_resolve : 0.000097s : 0.00% optimize.opt_a.a_after_grad : 0.000121s : 0.00% optimize.opt_a.renormalize : 0.014350s : 0.57% optimize.opt_a.add_forward_monad_depend : 0.000024s : 0.00% optimize.opt_a.auto_monad_grad : 0.000007s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000144s : 0.01% optimize.opt_a.cse : 0.000364s : 0.01% optimize.opt_a.a_3 : 0.000512s : 0.02% optimize.py_interpret_to_execute_after_opt_a : 0.000015s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.000107s : 0.00% optimize.convert_after_rewriter : 0.000001s : 0.00% optimize.order_py_execute_after_rewriter : 0.000001s : 0.00% optimize.mutable_eliminate : 0.000915s : 0.04% optimize.opt_b.b_1 : 0.000884s : 0.04% optimize.opt_b.b_2 : 0.000039s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000048s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000026s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000023s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000229s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000069s : 0.00% optimize.overlap_param_gather : 0.000003s : 0.00% optimize.cconv : 0.000054s : 0.00% optimize.loop_unroll : 0.000695s : 0.03% optimize.opt_after_cconv.c_1 : 0.000248s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000053s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000021s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000021s : 0.00% optimize.opt_after_cconv.cse : 0.000138s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000239s : 0.01% optimize.tuple_transform.d_1 : 0.000266s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000004s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000041s : 0.00% optimize.partial_unused_args_eliminate : 0.000003s : 0.00% optimize.add_recomputation : 0.000283s : 0.01% optimize.cse_after_recomputation.cse : 0.000113s : 0.00% optimize.environ_conv : 0.000101s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000033s : 0.00% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000007s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 0.00% optimize.assign_add_opt : 0.000002s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000002s : 0.00% optimize.reorder_send_recv_between_fp_bp : 0.000003s : 0.00% optimize.comm_op_add_attrs : 0.000001s : 0.00% optimize.add_comm_op_reuse_tag : 0.000001s : 0.00% optimize.interleave_split_concat_branches : 0.000001s : 0.00% optimize.interleave_parallel_branches : 0.000001s : 0.00% optimize.overlap_opt_shard_in_pipeline : 0.000001s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000106s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000017s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000016s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000015s : 0.00% optimize.overlap_grad_flash_sp : 0.000079s : 0.00% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000003s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000019s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000448s : 0.02% optimize.symbol_engine_optimizer.elim_not_effective : 0.000077s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000037s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000059s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000001s : 0.00% detach_backward : 0.000003s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000074s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000934s : 0.04% validate : 0.000125s : 0.01% Time group info: ------[substitution.] 0.000565 206 13.95% : 0.000079s : 16: substitution.arithmetic_simplify 5.36% : 0.000030s : 2: substitution.cast_eliminate 1.78% : 0.000010s : 24: substitution.elim_not_effective 1.58% : 0.000009s : 24: substitution.fold_const_symbol 4.68% : 0.000026s : 29: substitution.graph_param_transform 55.91% : 0.000316s : 5: substitution.inline 4.14% : 0.000023s : 48: substitution.j_node_and_user_rematch 5.69% : 0.000032s : 48: substitution.remove_not_recompute_node 1.96% : 0.000011s : 6: substitution.replace_old_param 2.40% : 0.000014s : 2: substitution.switch_simplify 2.54% : 0.000014s : 2: substitution.value_based_eliminate ------[type_inference.] 2.214333 2 99.53% : 2.203871s : 1: type_inference.infer 0.47% : 0.010462s : 1: type_inference.specialize ------[replace.] 0.000120 7 40.58% : 0.000049s : 5: replace.inline 59.42% : 0.000071s : 2: replace.switch_simplify ------[match.] 0.000324 7 96.44% : 0.000313s : 5: match.inline 3.56% : 0.000012s : 2: match.switch_simplify ------[predicate.] 0.001201 6979 0.77% : 0.000009s : 64: predicate.accumulaten_eliminater 0.68% : 0.000008s : 29: predicate.ad_related_special_op_eliminate 0.76% : 0.000009s : 60: predicate.addn_check_dump 0.75% : 0.000009s : 64: predicate.addn_zero_filter 0.75% : 0.000009s : 64: predicate.adjust_all_reduce_mul_add 2.04% : 0.000025s : 124: predicate.arithmetic_simplify 0.77% : 0.000009s : 64: predicate.cast_eliminate 0.73% : 0.000009s : 58: predicate.check_bprop_eliminate 0.72% : 0.000009s : 60: predicate.compare_switch_simplify 0.19% : 0.000002s : 29: predicate.const_output_eliminate 1.38% : 0.000017s : 60: predicate.depend_value_elim 0.80% : 0.000010s : 64: predicate.dict_get_item_const_eliminator 0.87% : 0.000010s : 64: predicate.dict_get_item_eliminator 0.86% : 0.000010s : 64: predicate.dict_set_item_eliminator 0.75% : 0.000009s : 58: predicate.dumpgradient_eliminate 0.23% : 0.000003s : 29: predicate.elim_not_effective 0.53% : 0.000006s : 29: predicate.elim_shapecalc_of_broadcastargs 1.12% : 0.000014s : 93: predicate.environ_add_const_eliminate 1.07% : 0.000013s : 93: predicate.environ_get_add_eliminate 1.00% : 0.000012s : 93: predicate.environ_get_depend_swap 1.89% : 0.000023s : 153: predicate.environ_get_eliminate 1.05% : 0.000013s : 93: predicate.environ_get_set_eliminate 0.79% : 0.000010s : 69: predicate.exchange_switch_depend_value 1.20% : 0.000014s : 69: predicate.float_depend_g_call 0.72% : 0.000009s : 60: predicate.float_environ_get_switch 1.06% : 0.000013s : 89: predicate.float_tuple_getitem_switch 0.17% : 0.000002s : 29: predicate.fold_const_symbol 0.72% : 0.000009s : 60: predicate.get_grad_eliminate 0.21% : 0.000003s : 29: predicate.graph_param_transform 0.68% : 0.000008s : 60: predicate.incorporate_call 0.64% : 0.000008s : 60: predicate.incorporate_call_switch 4.93% : 0.000059s : 311: predicate.inline 0.96% : 0.000011s : 60: predicate.inline_without_move 0.34% : 0.000004s : 60: predicate.j_node_and_user_rematch 0.93% : 0.000011s : 60: predicate.less_batch_normalization 1.59% : 0.000019s : 122: predicate.list_to_tuple_eliminator_ 2.03% : 0.000024s : 186: predicate.load_eliminater 0.75% : 0.000009s : 29: predicate.loop_unroll_after_grad 1.00% : 0.000012s : 84: predicate.loop_unroll_before_grad 1.51% : 0.000018s : 122: predicate.make_slice_get_slice_eliminator 2.10% : 0.000025s : 60: predicate.merge_addn 0.68% : 0.000008s : 58: predicate.micro_step_allgather_replace 0.73% : 0.000009s : 58: predicate.mini_step_allgather_replace 0.70% : 0.000008s : 64: predicate.minmaximum_grad 1.03% : 0.000012s : 29: predicate.mutable_eliminate 0.43% : 0.000005s : 29: predicate.opt_reshape 0.42% : 0.000005s : 29: predicate.parallel_virtual_node 2.70% : 0.000032s : 69: predicate.partial_defer_inline 1.13% : 0.000014s : 93: predicate.partial_eliminate 0.81% : 0.000010s : 64: predicate.print_const_string_wrapper 0.72% : 0.000009s : 60: predicate.reduce_all_const_elim 1.02% : 0.000012s : 64: predicate.reduce_eliminate 2.10% : 0.000025s : 186: predicate.redundant_stop_gradient_eliminater 0.42% : 0.000005s : 60: predicate.remove_not_recompute_node 0.99% : 0.000012s : 122: predicate.replace_applicator 0.41% : 0.000005s : 60: predicate.replace_old_param 0.23% : 0.000003s : 29: predicate.reset_defer_inline 0.81% : 0.000010s : 64: predicate.reshape_eliminate 0.72% : 0.000009s : 58: predicate.row_tensor_add_zeros_like 0.42% : 0.000005s : 29: predicate.row_tensor_eliminate 0.83% : 0.000010s : 58: predicate.same_eliminate 0.49% : 0.000006s : 60: predicate.set_cell_output_no_recompute 0.85% : 0.000010s : 60: predicate.shard_identity_eliminate 0.74% : 0.000009s : 58: predicate.special_op_eliminate 0.85% : 0.000010s : 60: predicate.specialize_transform 0.87% : 0.000010s : 58: predicate.split_environ_get_set_with_tuple_value 0.83% : 0.000010s : 60: predicate.stack_unstack_eliminate 0.37% : 0.000004s : 29: predicate.switch_call_monad_eliminater 0.85% : 0.000010s : 69: predicate.switch_defer_inline 1.50% : 0.000018s : 127: predicate.switch_layer_defer_inline 3.21% : 0.000039s : 246: predicate.switch_simplify 0.81% : 0.000010s : 64: predicate.tile_eliminate 0.73% : 0.000009s : 64: predicate.transpose_eliminate 1.65% : 0.000020s : 122: predicate.tuple_list_convert_item_index_to_positive 1.64% : 0.000020s : 122: predicate.tuple_list_get_item_const_eliminator 1.51% : 0.000018s : 122: predicate.tuple_list_get_item_depend_reorder 10.44% : 0.000125s : 182: predicate.tuple_list_get_item_eliminator 1.63% : 0.000020s : 122: predicate.tuple_list_get_set_item_eliminator 2.40% : 0.000029s : 182: predicate.tuple_list_set_item_eliminator 1.54% : 0.000018s : 122: predicate.tuple_to_list_eliminator_ 2.10% : 0.000025s : 186: predicate.updatestate_pure_node_eliminater 2.90% : 0.000035s : 246: predicate.updatestate_useless_node_eliminater 0.41% : 0.000005s : 29: predicate.value_based_eliminate 0.81% : 0.000010s : 60: predicate.virtual_dataset_eliminate 0.79% : 0.000009s : 60: predicate.virtual_output_eliminate 0.35% : 0.000004s : 29: predicate.virtual_view_grad_eliminate 0.40% : 0.000005s : 29: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.009190 45 63.88% : 0.005871s : 38: func_graph_cloner_run.FuncGraphClonerGraph 36.12% : 0.003319s : 7: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.215049 192 0.00% : 0.000004s : 1: ForceFp32Comm 2.40% : 0.077269s : 1: add_attr 2.40% : 0.077245s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.01% : 0.000294s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.01% : 0.000174s : 1: auto_monad 0.00% : 0.000079s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.02% : 0.000613s : 1: bootstrap 0.00% : 0.000059s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000115s : 1: control_data_broadcast_order 0.00% : 0.000004s : 1: convert_after_rewriter 0.00% : 0.000140s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.00% : 0.000107s : 1: environ_conv 0.00% : 0.000062s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000011s : 1: graph_reusing 0.00% : 0.000006s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000005s : 1: handle_group_info 0.00% : 0.000006s : 1: inline 0.00% : 0.000008s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000010s : 1: label_micro_interleaved_index 0.02% : 0.000706s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000005s : 1: micro_interleaved_order_control 0.03% : 0.000930s : 1: mutable_eliminate 0.00% : 0.000020s : 1: offloading_packed_experts 0.00% : 0.000054s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000065s : 1: opt.transform.mutable_eliminate 8.09% : 0.260112s : 78: opt.transform.opt_a 0.01% : 0.000246s : 1: opt.transform.opt_after_cconv 0.00% : 0.000112s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.000876s : 28: opt.transform.opt_b 0.01% : 0.000301s : 2: opt.transform.opt_trans_graph 0.02% : 0.000612s : 4: opt.transform.symbol_engine_opt 8.62% : 0.277122s : 1: opt_a 0.02% : 0.000557s : 1: opt_after_cconv 0.03% : 0.000948s : 1: opt_after_jit_grad 0.04% : 0.001330s : 1: opt_b 8.82% : 0.283509s : 1: optimize 0.00% : 0.000074s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000004s : 1: order_py_execute_after_rewriter 0.00% : 0.000084s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000018s : 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% : 0.000005s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000019s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000014s : 1: parallel-infer-symbol 0.00% : 0.000005s : 1: parallel-infer-symbol-second 0.00% : 0.000007s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.01% : 0.000457s : 1: pre_auto_parallel 0.00% : 0.000019s : 1: py_interpret_to_execute 0.00% : 0.000018s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.01% : 0.000251s : 1: remove_dup_value 0.31% : 0.009906s : 1: renormalize.infer 0.14% : 0.004422s : 1: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000112s : 1: rewriter_after_opt_a 0.01% : 0.000194s : 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 0.00% : 0.000037s : 1: swap_dp_allreduce_reducescatter 0.02% : 0.000707s : 1: symbol_engine_optimizer 0.01% : 0.000355s : 1: tuple_transform 68.88% : 2.214478s : 1: type_inference TotalTime = 4.16694, [21] [bootstrap]: 0.0005743 [type_inference]: 3.05361 [event_method]: 0.00012295 [auto_monad]: 0.00026492 [graph_reusing]: 1.097e-05 [inline]: 3.56001e-06 [add_attr]: 0.0833933, [1] [add_attr_with_inline]: 0.0833787, [1] [Cycle 1]: 0.0001764, [2] [tag_attr]: 0.00010353 [meta_addattr_fg_expand]: 2.087e-05 [parallel-infer-symbol]: 3.8e-06 [pre_auto_parallel]: 0.00011545 [insert-virtual-dataset]: 2.68e-06 [parallel-infer-symbol-second]: 1.02998e-06 [dataset_repeat_opt]: 2.61e-06 [pipeline_split]: 1.79998e-06 [optimize]: 1.027, [53] [py_interpret_to_execute]: 1.125e-05 [rewriter_before_opt_a]: 0.00031433 [opt_a]: 1.00037, [4] [Cycle 1]: 0.709426, [45] [expand_dump_flag]: 1.161e-05 [switch_simplify]: 0.00022269 [loop_unroll]: 0.00010994 [a_1]: 0.00358149 [with_stream_mark]: 0.00012229 [recompute_prepare]: 8.518e-05 [updatestate_depend_eliminate]: 4.188e-05 [updatestate_assign_eliminate]: 2.674e-05 [updatestate_loads_eliminate]: 2.591e-05 [parameter_eliminate]: 5.37001e-06 [a_2]: 0.00122292 [accelerated_algorithm]: 9.266e-05 [shard]: 2.87002e-06 [meta_shard_fg_expand]: 3.021e-05 [shard_inline]: 5.36e-05 [merge_send_recv]: 8.249e-05 [auto_parallel]: 4.013e-05 [parallel]: 2.813e-05 [flash_sp]: 3.139e-05 [merge_comm]: 3.347e-05 [allreduce_fusion]: 3.085e-05 [matmul_add_comm_reduction]: 7.235e-05 [allreduce_slice_to_reducescatter]: 8.89995e-07 [virtual_shard_identity]: 6.143e-05 [virtual_dataset]: 5.318e-05 [get_grad_eliminate_]: 5.446e-05 [virtual_output]: 5.769e-05 [merge_forward]: 5.295e-05 [cell_reuse_recompute_pass]: 3.454e-05 [offload_activation]: 6.234e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00010952 [merge_recompute_call_nodes]: 2.06998e-06 [before_grad]: 0.00010823 [set_forward_comm_id_for_comm_node_pass]: 5.455e-05 [meta_fg_expand]: 0.105067 [flash_sp_send_recv_attached]: 1e-05 [receive_attached]: 2.37001e-06 [after_resolve]: 0.00077602 [a_after_grad]: 0.0011468 [renormalize]: 0.437761 [add_forward_monad_depend]: 0.00016557 [auto_monad_grad]: 9.134e-05 [auto_monad_eliminator]: 0.00101187 [cse]: 0.0775635 [a_3]: 0.0784762 [Cycle 2]: 0.235522, [45] [expand_dump_flag]: 5.268e-05 [switch_simplify]: 0.00086233 [loop_unroll]: 0.0007883 [a_1]: 0.0843771 [with_stream_mark]: 0.00063152 [recompute_prepare]: 0.00010193 [updatestate_depend_eliminate]: 0.00016679 [updatestate_assign_eliminate]: 4.749e-05 [updatestate_loads_eliminate]: 4.309e-05 [parameter_eliminate]: 7.67998e-06 [a_2]: 0.00248694 [accelerated_algorithm]: 0.00011587 [shard]: 3.08e-06 [meta_shard_fg_expand]: 7.669e-05 [shard_inline]: 7.987e-05 [merge_send_recv]: 7.904e-05 [auto_parallel]: 5.425e-05 [parallel]: 1.36e-05 [flash_sp]: 6.06e-06 [merge_comm]: 4.712e-05 [allreduce_fusion]: 4.34e-05 [matmul_add_comm_reduction]: 6.422e-05 [allreduce_slice_to_reducescatter]: 5.89993e-07 [virtual_shard_identity]: 8.741e-05 [virtual_dataset]: 6.855e-05 [get_grad_eliminate_]: 6.985e-05 [virtual_output]: 6.793e-05 [merge_forward]: 4.603e-05 [cell_reuse_recompute_pass]: 3.78001e-06 [offload_activation]: 7.248e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00014258 [merge_recompute_call_nodes]: 1.81998e-06 [before_grad]: 0.00012139 [set_forward_comm_id_for_comm_node_pass]: 5.536e-05 [meta_fg_expand]: 0.0008802 [flash_sp_send_recv_attached]: 4.18999e-06 [receive_attached]: 3.56001e-06 [after_resolve]: 0.00011772 [a_after_grad]: 0.00011925 [renormalize]: 0.0881578 [add_forward_monad_depend]: 1.081e-05 [auto_monad_grad]: 2.59001e-06 [auto_monad_eliminator]: 0.00026996 [cse]: 0.0004485 [a_3]: 0.0004895 [Cycle 3]: 0.0489547, [45] [expand_dump_flag]: 3.01001e-06 [switch_simplify]: 7.16e-05 [loop_unroll]: 6.336e-05 [a_1]: 0.00238765 [with_stream_mark]: 0.00011723 [recompute_prepare]: 8.168e-05 [updatestate_depend_eliminate]: 4.655e-05 [updatestate_assign_eliminate]: 3.958e-05 [updatestate_loads_eliminate]: 3.625e-05 [parameter_eliminate]: 2.47001e-06 [a_2]: 0.00107467 [accelerated_algorithm]: 8.579e-05 [shard]: 3.16001e-06 [meta_shard_fg_expand]: 3.361e-05 [shard_inline]: 6.426e-05 [merge_send_recv]: 5.937e-05 [auto_parallel]: 4.89e-05 [parallel]: 1.148e-05 [flash_sp]: 2.19001e-06 [merge_comm]: 4.279e-05 [allreduce_fusion]: 4.158e-05 [matmul_add_comm_reduction]: 6.23e-05 [allreduce_slice_to_reducescatter]: 5.79981e-07 [virtual_shard_identity]: 7.532e-05 [virtual_dataset]: 6.303e-05 [get_grad_eliminate_]: 6.24e-05 [virtual_output]: 6.289e-05 [merge_forward]: 4.509e-05 [cell_reuse_recompute_pass]: 3.80998e-06 [offload_activation]: 6.651e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00013423 [merge_recompute_call_nodes]: 1.69998e-06 [before_grad]: 0.00011707 [set_forward_comm_id_for_comm_node_pass]: 5.249e-05 [meta_fg_expand]: 4.057e-05 [flash_sp_send_recv_attached]: 2.45002e-06 [receive_attached]: 2.84001e-06 [after_resolve]: 7.46e-05 [a_after_grad]: 0.00010571 [renormalize]: 0.042392 [add_forward_monad_depend]: 1.147e-05 [auto_monad_grad]: 3.24001e-06 [auto_monad_eliminator]: 0.00011488 [cse]: 0.00026087 [a_3]: 0.00046499 [Cycle 4]: 0.00642151, [45] [expand_dump_flag]: 3.34001e-06 [switch_simplify]: 6.74e-05 [loop_unroll]: 6.101e-05 [a_1]: 0.00212978 [with_stream_mark]: 8.893e-05 [recompute_prepare]: 7.152e-05 [updatestate_depend_eliminate]: 5.408e-05 [updatestate_assign_eliminate]: 3.592e-05 [updatestate_loads_eliminate]: 3.692e-05 [parameter_eliminate]: 3.18998e-06 [a_2]: 0.00105345 [accelerated_algorithm]: 8.49e-05 [shard]: 2.94001e-06 [meta_shard_fg_expand]: 3.311e-05 [shard_inline]: 6.633e-05 [merge_send_recv]: 6.858e-05 [auto_parallel]: 4.926e-05 [parallel]: 1.293e-05 [flash_sp]: 4.62998e-06 [merge_comm]: 4.318e-05 [allreduce_fusion]: 4.2e-05 [matmul_add_comm_reduction]: 6.416e-05 [allreduce_slice_to_reducescatter]: 1.22e-06 [virtual_shard_identity]: 8.34e-05 [virtual_dataset]: 7.144e-05 [get_grad_eliminate_]: 6.719e-05 [virtual_output]: 6.92e-05 [merge_forward]: 4.93e-05 [cell_reuse_recompute_pass]: 4.52e-06 [offload_activation]: 7.416e-05 [cell_reuse_handle_not_recompute_node_pass]: 0.00016334 [merge_recompute_call_nodes]: 2.26e-06 [before_grad]: 0.00012842 [set_forward_comm_id_for_comm_node_pass]: 6.357e-05 [meta_fg_expand]: 4.158e-05 [flash_sp_send_recv_attached]: 2.19001e-06 [receive_attached]: 2.49999e-06 [after_resolve]: 8.528e-05 [a_after_grad]: 0.00011654 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 8.80999e-06 [auto_monad_grad]: 3.5e-06 [auto_monad_eliminator]: 0.00011361 [cse]: 0.00027293 [a_3]: 0.00048022 [py_interpret_to_execute_after_opt_a]: 1.405e-05 [slice_cell_reuse_recomputed_activation]: 3.00998e-06 [rewriter_after_opt_a]: 0.0132847 [convert_after_rewriter]: 4.03001e-06 [order_py_execute_after_rewriter]: 2.17999e-06 [mutable_eliminate]: 0.00136805 [opt_b]: 0.00640019, [2] [Cycle 1]: 0.00398178, [7] [b_1]: 0.00333324 [b_2]: 8.439e-05 [updatestate_depend_eliminate]: 0.00011233 [updatestate_assign_eliminate]: 3.614e-05 [updatestate_loads_eliminate]: 3.377e-05 [renormalize]: 1.12999e-06 [cse]: 0.00028587 [Cycle 2]: 0.0023958, [7] [b_1]: 0.00154785 [b_2]: 7.157e-05 [updatestate_depend_eliminate]: 0.00036925 [updatestate_assign_eliminate]: 3.745e-05 [updatestate_loads_eliminate]: 3.442e-05 [renormalize]: 7.99773e-08 [cse]: 0.00024656 [optimize_parallel_all_gather_comm]: 0.00010946 [overlap_param_gather]: 2.61999e-06 [cconv]: 6.702e-05 [loop_unroll]: 0.00099874 [opt_after_cconv]: 0.00087929, [1] [Cycle 1]: 0.0008687, [7] [c_1]: 0.00042233 [parameter_eliminate]: 7.25998e-06 [updatestate_depend_eliminate]: 7.894e-05 [updatestate_assign_eliminate]: 3.708e-05 [updatestate_loads_eliminate]: 3.266e-05 [cse]: 0.00023581 [renormalize]: 8.70001e-07 [remove_dup_value]: 0.00040518 [tuple_transform]: 0.00063425, [1] [Cycle 1]: 0.00062173, [4] [d_1]: 0.00052578 [none_parameter_eliminate]: 4.45e-06 [renormalize]: 2.00002e-07 [switch_simplify]: 6.026e-05 [partial_unused_args_eliminate]: 2.29001e-06 [add_recomputation]: 0.00044186 [cse_after_recomputation]: 0.00019672, [1] [Cycle 1]: 0.00018862, [1] [cse]: 0.00017587 [environ_conv]: 4.801e-05 [swap_dp_allreduce_reducescatter]: 5.432e-05 [bias_add_comm_swap]: 3.38e-06 [label_micro_interleaved_index]: 9.70002e-06 [label_fine_grained_interleaved_index]: 2.81e-06 [merge_cast_opt]: 1.81e-06 [slice_recompute_activation]: 2.56e-06 [micro_interleaved_order_control]: 2.41998e-06 [assign_add_opt]: 1.44e-06 [ForceFp32Comm]: 1.12e-06 [remove_cast_before_assign_add]: 1.10001e-06 [full_micro_interleaved_order_control]: 2.84001e-06 [reorder_send_recv_between_fp_bp]: 2.93998e-06 [comm_op_add_attrs]: 1.07e-06 [add_comm_op_reuse_tag]: 1.34998e-06 [interleave_split_concat_branches]: 1.45999e-06 [interleave_parallel_branches]: 1.08001e-06 [overlap_opt_shard_in_pipeline]: 1.75001e-06 [overlap_opt_shard_grad_in_pipeline]: 1.96e-06 [control_data_broadcast_order]: 0.00010561 [grouped_pairwise_exchange_alltoall]: 1.66998e-06 [offloading_packed_experts]: 2.598e-05 [overlap_recompute_and_grad_model_parallel]: 2.368e-05 [overlap_grad_matmul_and_grad_allreduce]: 1.34998e-06 [overlap_recompute_allgather_and_fa_grad]: 1.44998e-06 [overlap_recompute_comm]: 2.72001e-06 [overlap_grad_ring_attention]: 2.256e-05 [overlap_grad_flash_sp]: 0.00014304 [begin_end_overlap_inline]: 5.8001e-07 [split_matmul_comm_elemetwise]: 2.56e-06 [split_layernorm_comm]: 1.85001e-06 [handle_group_info]: 1.05001e-06 [symbol_engine_optimizer]: 0.00060474, [1] [Cycle 1]: 0.00059641, [6] [build]: 4.081e-05 [elim_shapecalc]: 0.00013242 [elim_not_effective]: 0.00015786 [opt_reshape]: 9.768e-05 [fold_const_symbol]: 0.00011096 [renormalize]: 2.40019e-07 [detach_backward]: 2.93e-06 [pipeline_parallel_scheduler]: 2.07001e-06 [auto_monad_reorder]: 0.00014651 [get_jit_bprop_graph]: 2.78e-06 [rewriter_after_jit_bprop_graph]: 1.016e-05 [opt_after_jit_grad]: 0.00119323 [validate]: 0.00021725 Sums bootstrap : 0.000574s : 0.01% type_inference : 3.053612s : 75.83% event_method : 0.000123s : 0.00% auto_monad : 0.000265s : 0.01% graph_reusing : 0.000011s : 0.00% inline : 0.000004s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000104s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000021s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000115s : 0.00% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000003s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000011s : 0.00% optimize.rewriter_before_opt_a : 0.000314s : 0.01% optimize.opt_a.expand_dump_flag : 0.000071s : 0.00% optimize.opt_a.switch_simplify : 0.001224s : 0.03% optimize.opt_a.loop_unroll : 0.001023s : 0.03% optimize.opt_a.a_1 : 0.092476s : 2.30% optimize.opt_a.with_stream_mark : 0.000960s : 0.02% optimize.opt_a.recompute_prepare : 0.000340s : 0.01% optimize.opt_a.updatestate_depend_eliminate : 0.000309s : 0.01% optimize.opt_a.updatestate_assign_eliminate : 0.000150s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000142s : 0.00% optimize.opt_a.parameter_eliminate : 0.000019s : 0.00% optimize.opt_a.a_2 : 0.005838s : 0.14% optimize.opt_a.accelerated_algorithm : 0.000379s : 0.01% optimize.opt_a.shard : 0.000012s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000174s : 0.00% optimize.opt_a.shard_inline : 0.000264s : 0.01% optimize.opt_a.merge_send_recv : 0.000289s : 0.01% optimize.opt_a.auto_parallel : 0.000193s : 0.00% optimize.opt_a.parallel : 0.000066s : 0.00% optimize.opt_a.flash_sp : 0.000044s : 0.00% optimize.opt_a.merge_comm : 0.000167s : 0.00% optimize.opt_a.allreduce_fusion : 0.000158s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000263s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000003s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000308s : 0.01% optimize.opt_a.virtual_dataset : 0.000256s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000254s : 0.01% optimize.opt_a.virtual_output : 0.000258s : 0.01% optimize.opt_a.merge_forward : 0.000193s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000047s : 0.00% optimize.opt_a.offload_activation : 0.000275s : 0.01% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000550s : 0.01% optimize.opt_a.merge_recompute_call_nodes : 0.000008s : 0.00% optimize.opt_a.before_grad : 0.000475s : 0.01% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000226s : 0.01% optimize.opt_a.meta_fg_expand : 0.106029s : 2.63% optimize.opt_a.flash_sp_send_recv_attached : 0.000019s : 0.00% optimize.opt_a.receive_attached : 0.000011s : 0.00% optimize.opt_a.after_resolve : 0.001054s : 0.03% optimize.opt_a.a_after_grad : 0.001488s : 0.04% optimize.opt_a.renormalize : 0.568310s : 14.11% optimize.opt_a.add_forward_monad_depend : 0.000197s : 0.00% optimize.opt_a.auto_monad_grad : 0.000101s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.001510s : 0.04% optimize.opt_a.cse : 0.078546s : 1.95% optimize.opt_a.a_3 : 0.079911s : 1.98% optimize.py_interpret_to_execute_after_opt_a : 0.000014s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000003s : 0.00% optimize.rewriter_after_opt_a : 0.013285s : 0.33% optimize.convert_after_rewriter : 0.000004s : 0.00% optimize.order_py_execute_after_rewriter : 0.000002s : 0.00% optimize.mutable_eliminate : 0.001368s : 0.03% optimize.opt_b.b_1 : 0.004881s : 0.12% optimize.opt_b.b_2 : 0.000156s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000482s : 0.01% optimize.opt_b.updatestate_assign_eliminate : 0.000074s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000068s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000532s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000109s : 0.00% optimize.overlap_param_gather : 0.000003s : 0.00% optimize.cconv : 0.000067s : 0.00% optimize.loop_unroll : 0.000999s : 0.02% optimize.opt_after_cconv.c_1 : 0.000422s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000079s : 0.00% optimize.opt_after_cconv.updatestate_assign_eliminate : 0.000037s : 0.00% optimize.opt_after_cconv.updatestate_loads_eliminate : 0.000033s : 0.00% optimize.opt_after_cconv.cse : 0.000236s : 0.01% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000405s : 0.01% optimize.tuple_transform.d_1 : 0.000526s : 0.01% optimize.tuple_transform.none_parameter_eliminate : 0.000004s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000060s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000442s : 0.01% optimize.cse_after_recomputation.cse : 0.000176s : 0.00% optimize.environ_conv : 0.000048s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000054s : 0.00% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000010s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000003s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000003s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 0.00% optimize.assign_add_opt : 0.000001s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000003s : 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 : 0.000001s : 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 : 0.000106s : 0.00% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000026s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000024s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000003s : 0.00% optimize.overlap_grad_ring_attention : 0.000023s : 0.00% optimize.overlap_grad_flash_sp : 0.000143s : 0.00% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000003s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000041s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000132s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000158s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000098s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000111s : 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 : 0.000147s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000010s : 0.00% opt_after_jit_grad : 0.001193s : 0.03% validate : 0.000217s : 0.01% Time group info: ------[substitution.] 0.057076 1783 0.07% : 0.000042s : 14: substitution.addn_check_dump 0.39% : 0.000225s : 16: substitution.addn_zero_filter 0.07% : 0.000039s : 14: substitution.adjust_all_reduce_mul_add 0.79% : 0.000451s : 111: substitution.arithmetic_simplify 0.03% : 0.000016s : 1: substitution.cast_eliminate 0.05% : 0.000027s : 48: substitution.elim_not_effective 0.07% : 0.000038s : 25: substitution.float_depend_g_call 0.01% : 0.000008s : 4: substitution.float_tuple_getitem_switch 0.03% : 0.000018s : 48: substitution.fold_const_symbol 0.07% : 0.000039s : 56: substitution.graph_param_transform 0.01% : 0.000005s : 2: substitution.incorporate_call 0.00% : 0.000002s : 2: substitution.incorporate_call_switch 12.63% : 0.007210s : 108: substitution.inline 0.36% : 0.000203s : 24: substitution.inline_without_move 0.16% : 0.000091s : 186: substitution.j_node_and_user_rematch 0.08% : 0.000043s : 14: substitution.less_batch_normalization 0.23% : 0.000130s : 16: substitution.merge_addn 0.17% : 0.000096s : 65: substitution.minmaximum_grad 0.01% : 0.000003s : 4: substitution.opt_reshape 0.09% : 0.000050s : 25: substitution.partial_eliminate 0.19% : 0.000110s : 186: substitution.remove_not_recompute_node 1.62% : 0.000926s : 222: substitution.replace_applicator 0.13% : 0.000072s : 104: substitution.replace_old_param 0.17% : 0.000095s : 19: substitution.reshape_eliminate 0.01% : 0.000007s : 1: substitution.set_cell_output_no_recompute 0.02% : 0.000013s : 2: substitution.switch_simplify 0.12% : 0.000068s : 15: substitution.tile_eliminate 0.36% : 0.000207s : 65: substitution.tuple_list_convert_item_index_to_positive 0.15% : 0.000086s : 65: substitution.tuple_list_get_item_const_eliminator 0.28% : 0.000160s : 65: substitution.tuple_list_get_item_depend_reorder 1.06% : 0.000607s : 181: substitution.tuple_list_get_item_eliminator 80.33% : 0.045850s : 65: substitution.tuple_list_get_set_item_eliminator 0.13% : 0.000075s : 9: substitution.value_based_eliminate 0.11% : 0.000065s : 1: substitution.zero_like_fill_zero ------[type_inference.] 3.053361 2 99.59% : 3.040991s : 1: type_inference.infer 0.41% : 0.012371s : 1: type_inference.specialize ------[replace.] 0.004805 238 0.88% : 0.000042s : 2: replace.addn_zero_filter 51.55% : 0.002477s : 108: replace.inline 1.73% : 0.000083s : 2: replace.merge_addn 6.36% : 0.000306s : 11: replace.replace_applicator 1.44% : 0.000069s : 2: replace.switch_simplify 36.98% : 0.001777s : 112: replace.tuple_list_get_item_eliminator 1.06% : 0.000051s : 1: replace.zero_like_fill_zero ------[match.] 0.007741 238 0.71% : 0.000055s : 2: match.addn_zero_filter 91.74% : 0.007102s : 108: match.inline 1.00% : 0.000077s : 2: match.merge_addn 1.13% : 0.000088s : 11: match.replace_applicator 0.13% : 0.000010s : 2: match.switch_simplify 4.46% : 0.000345s : 112: match.tuple_list_get_item_eliminator 0.82% : 0.000064s : 1: match.zero_like_fill_zero ------[predicate.] 0.010070 58211 0.85% : 0.000085s : 524: predicate.accumulaten_eliminater 0.18% : 0.000018s : 56: predicate.ad_related_special_op_eliminate 0.45% : 0.000045s : 313: predicate.addn_check_dump 0.76% : 0.000076s : 526: predicate.addn_zero_filter 0.74% : 0.000075s : 524: predicate.adjust_all_reduce_mul_add 1.72% : 0.000173s : 839: predicate.arithmetic_simplify 0.79% : 0.000079s : 526: predicate.cast_eliminate 3.11% : 0.000313s : 1676: predicate.check_bprop_eliminate 0.45% : 0.000045s : 313: predicate.compare_switch_simplify 0.15% : 0.000015s : 189: predicate.const_output_eliminate 0.46% : 0.000047s : 313: predicate.depend_value_elim 0.88% : 0.000089s : 526: predicate.dict_get_item_const_eliminator 0.77% : 0.000077s : 526: predicate.dict_get_item_eliminator 0.72% : 0.000073s : 526: predicate.dict_set_item_eliminator 0.37% : 0.000037s : 245: predicate.dumpgradient_eliminate 0.04% : 0.000004s : 56: predicate.elim_not_effective 0.11% : 0.000011s : 56: predicate.elim_shapecalc_of_broadcastargs 1.01% : 0.000101s : 715: predicate.environ_add_const_eliminate 1.05% : 0.000106s : 715: predicate.environ_get_add_eliminate 0.97% : 0.000098s : 715: predicate.environ_get_depend_swap 1.48% : 0.000149s : 1028: predicate.environ_get_eliminate 1.08% : 0.000109s : 715: predicate.environ_get_set_eliminate 1.06% : 0.000107s : 746: predicate.exchange_switch_depend_value 1.48% : 0.000149s : 746: predicate.float_depend_g_call 0.45% : 0.000046s : 313: predicate.float_environ_get_switch 0.84% : 0.000084s : 502: predicate.float_tuple_getitem_switch 0.04% : 0.000004s : 56: predicate.fold_const_symbol 0.39% : 0.000040s : 243: predicate.get_grad_eliminate 0.05% : 0.000005s : 56: predicate.graph_param_transform 0.44% : 0.000044s : 313: predicate.incorporate_call 0.41% : 0.000041s : 313: predicate.incorporate_call_switch 4.10% : 0.000413s : 2078: predicate.inline 1.68% : 0.000169s : 666: predicate.inline_without_move 0.17% : 0.000018s : 243: predicate.j_node_and_user_rematch 0.50% : 0.000051s : 243: predicate.less_batch_normalization 1.29% : 0.000130s : 883: predicate.list_to_tuple_eliminator_ 1.95% : 0.000196s : 1414: predicate.load_eliminater 0.23% : 0.000023s : 63: predicate.loop_unroll_after_grad 2.02% : 0.000204s : 959: predicate.loop_unroll_before_grad 1.20% : 0.000120s : 778: predicate.make_slice_get_slice_eliminator 0.49% : 0.000049s : 316: predicate.merge_addn 3.95% : 0.000398s : 1624: predicate.micro_step_allgather_replace 2.84% : 0.000286s : 1624: predicate.mini_step_allgather_replace 0.76% : 0.000076s : 526: predicate.minmaximum_grad 0.29% : 0.000029s : 64: predicate.mutable_eliminate 0.10% : 0.000010s : 56: predicate.opt_reshape 0.34% : 0.000034s : 189: predicate.parallel_virtual_node 2.77% : 0.000279s : 746: predicate.partial_defer_inline 1.04% : 0.000105s : 701: predicate.partial_eliminate 0.72% : 0.000073s : 524: predicate.print_const_string_wrapper 0.48% : 0.000048s : 313: predicate.reduce_all_const_elim 1.11% : 0.000112s : 526: predicate.reduce_eliminate 1.91% : 0.000192s : 1414: predicate.redundant_stop_gradient_eliminater 0.19% : 0.000019s : 243: predicate.remove_not_recompute_node 1.90% : 0.000191s : 2284: predicate.replace_applicator 0.50% : 0.000051s : 666: predicate.replace_old_param 0.15% : 0.000015s : 189: predicate.reset_defer_inline 0.94% : 0.000094s : 526: predicate.reshape_eliminate 3.13% : 0.000315s : 1624: predicate.row_tensor_add_zeros_like 0.25% : 0.000025s : 126: predicate.row_tensor_eliminate 5.30% : 0.000534s : 1676: predicate.same_eliminate 0.21% : 0.000021s : 247: predicate.set_cell_output_no_recompute 0.43% : 0.000043s : 243: predicate.shard_identity_eliminate 0.39% : 0.000039s : 245: predicate.special_op_eliminate 0.51% : 0.000051s : 317: predicate.specialize_transform 4.17% : 0.000420s : 1624: predicate.split_environ_get_set_with_tuple_value 1.03% : 0.000104s : 666: predicate.stack_unstack_eliminate 0.10% : 0.000010s : 63: predicate.switch_call_monad_eliminater 1.11% : 0.000112s : 746: predicate.switch_defer_inline 4.03% : 0.000406s : 2422: predicate.switch_layer_defer_inline 3.95% : 0.000397s : 2082: predicate.switch_simplify 0.96% : 0.000096s : 526: predicate.tile_eliminate 0.75% : 0.000075s : 526: predicate.transpose_eliminate 1.65% : 0.000166s : 771: predicate.tuple_list_convert_item_index_to_positive 1.24% : 0.000124s : 771: predicate.tuple_list_get_item_const_eliminator 1.20% : 0.000120s : 771: predicate.tuple_list_get_item_depend_reorder 2.23% : 0.000224s : 1196: predicate.tuple_list_get_item_eliminator 1.15% : 0.000116s : 771: predicate.tuple_list_get_set_item_eliminator 1.79% : 0.000180s : 1084: predicate.tuple_list_set_item_eliminator 1.39% : 0.000140s : 883: predicate.tuple_to_list_eliminator_ 1.85% : 0.000187s : 1414: predicate.updatestate_pure_node_eliminater 2.74% : 0.000276s : 1727: predicate.updatestate_useless_node_eliminater 0.33% : 0.000034s : 189: predicate.value_based_eliminate 0.37% : 0.000038s : 243: predicate.virtual_dataset_eliminate 0.39% : 0.000039s : 243: predicate.virtual_output_eliminate 0.07% : 0.000007s : 56: predicate.virtual_view_grad_eliminate 0.37% : 0.000038s : 191: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.044979 268 40.78% : 0.018342s : 143: func_graph_cloner_run.FuncGraphClonerGraph 0.72% : 0.000322s : 5: func_graph_cloner_run.FuncGraphClonerNode 58.51% : 0.026315s : 120: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 6.037384 354 0.00% : 0.000004s : 1: ForceFp32Comm 1.38% : 0.083402s : 1: add_attr 1.38% : 0.083384s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.01% : 0.000455s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.00% : 0.000275s : 1: auto_monad 0.00% : 0.000154s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: begin_end_overlap_inline 0.00% : 0.000007s : 1: bias_add_comm_swap 0.01% : 0.000613s : 1: bootstrap 0.00% : 0.000072s : 1: cconv 0.00% : 0.000006s : 1: comm_op_add_attrs 0.00% : 0.000110s : 1: control_data_broadcast_order 0.00% : 0.000012s : 1: convert_after_rewriter 0.00% : 0.000201s : 1: cse_after_recomputation 0.00% : 0.000006s : 1: dataset_repeat_opt 0.00% : 0.000007s : 1: detach_backward 0.00% : 0.000054s : 1: environ_conv 0.00% : 0.000140s : 1: event_method 0.00% : 0.000006s : 1: full_micro_interleaved_order_control 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000015s : 1: graph_reusing 0.00% : 0.000007s : 1: grouped_pairwise_exchange_alltoall 0.00% : 0.000004s : 1: handle_group_info 0.00% : 0.000007s : 1: inline 0.00% : 0.000006s : 1: insert-virtual-dataset 0.00% : 0.000004s : 1: interleave_parallel_branches 0.00% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000006s : 1: label_fine_grained_interleaved_index 0.00% : 0.000013s : 1: label_micro_interleaved_index 0.02% : 0.001014s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000005s : 1: micro_interleaved_order_control 0.02% : 0.001385s : 1: mutable_eliminate 0.00% : 0.000030s : 1: offloading_packed_experts 0.00% : 0.000108s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000135s : 1: opt.transform.mutable_eliminate 3.07% : 0.185381s : 181: opt.transform.opt_a 0.01% : 0.000420s : 1: opt.transform.opt_after_cconv 0.00% : 0.000209s : 1: opt.transform.opt_after_jit_grad 0.08% : 0.004865s : 83: opt.transform.opt_b 0.01% : 0.000580s : 2: opt.transform.opt_trans_graph 0.01% : 0.000492s : 4: opt.transform.symbol_engine_opt 16.57% : 1.000378s : 1: opt_a 0.01% : 0.000886s : 1: opt_after_cconv 0.02% : 0.001212s : 1: opt_after_jit_grad 0.11% : 0.006408s : 1: opt_b 17.01% : 1.027012s : 1: optimize 0.00% : 0.000117s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000006s : 1: order_py_execute_after_rewriter 0.00% : 0.000151s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000026s : 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% : 0.000006s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000027s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000009s : 1: parallel-infer-symbol 0.00% : 0.000005s : 1: parallel-infer-symbol-second 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pipeline_parallel_scheduler 0.00% : 0.000007s : 1: pipeline_split 0.00% : 0.000121s : 1: pre_auto_parallel 0.00% : 0.000015s : 1: py_interpret_to_execute 0.00% : 0.000020s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.01% : 0.000419s : 1: remove_dup_value 6.28% : 0.379375s : 3: renormalize.infer 3.13% : 0.188867s : 3: renormalize.specialize 0.00% : 0.000008s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000017s : 1: rewriter_after_jit_bprop_graph 0.22% : 0.013326s : 1: rewriter_after_opt_a 0.01% : 0.000322s : 1: rewriter_before_opt_a 0.00% : 0.000006s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000006s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000059s : 1: swap_dp_allreduce_reducescatter 0.01% : 0.000609s : 1: symbol_engine_optimizer 0.01% : 0.000638s : 1: tuple_transform 50.58% : 3.053651s : 1: type_inference . [hook] pytest_runtest_teardown:test_functional_cel_inf_nan[0] tests/st/mint/test_functional_cosine_embedding_loss.py::test_functional_cel_inf_nan[0],max_mem:4.0M [WARNING] ME(171241:281472958406448,MainProcess):2026-01-29-17:42:35.738.010 [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_functional_cel_inf_nan[1] tests/st/mint/test_functional_cosine_embedding_loss.py::test_functional_cel_inf_nan[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") test_functional_cosine_embedding_loss.py::test_functional_cel_inf_nan[0] /usr/local/Ascend/cann-8.5.0/python/site-packages/asc_op_compile_base/asc_op_compiler/ascendc_compile_gen_code.py:161: DeprecationWarning: invalid escape sequence \w match = re.search(f'{option}=(\w+)', ' '.join(compile_options)) -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 2 passed, 26 warnings in 342.23s (0:05:42) ==================