==================================================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/compiler/stream_event, configfile: ../../../../../../../sault/virtual_test/virtualenv_008/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 1 item test_with_stream.py TotalTime = 2.58019, [21] [bootstrap]: 0.00060842 [type_inference]: 1.94193 [event_method]: 7.632e-05 [auto_monad]: 0.00024995 [graph_reusing]: 1.722e-05 [inline]: 2.63e-06 [add_attr]: 0.37875, [1] [add_attr_with_inline]: 0.378735, [1] [Cycle 1]: 0.0001835, [2] [tag_attr]: 8.865e-05 [meta_addattr_fg_expand]: 1.828e-05 [parallel-infer-symbol]: 3.51001e-06 [pre_auto_parallel]: 0.00011676 [insert-virtual-dataset]: 3.08998e-06 [parallel-infer-symbol-second]: 9.09989e-07 [dataset_repeat_opt]: 2.07999e-06 [pipeline_split]: 1.79998e-06 [optimize]: 0.257628, [53] [py_interpret_to_execute]: 7.171e-05 [rewriter_before_opt_a]: 0.00028734 [opt_a]: 0.254255, [3] [Cycle 1]: 0.250244, [45] [expand_dump_flag]: 6.04001e-06 [switch_simplify]: 0.00028528 [loop_unroll]: 0.00034742 [a_1]: 0.00253664 [with_stream_mark]: 0.00020648 [recompute_prepare]: 4.948e-05 [updatestate_depend_eliminate]: 1.859e-05 [updatestate_assign_eliminate]: 1.718e-05 [updatestate_loads_eliminate]: 1.685e-05 [parameter_eliminate]: 5.72999e-06 [a_2]: 0.242458 [accelerated_algorithm]: 8.825e-05 [shard]: 3.51999e-06 [meta_shard_fg_expand]: 1.62e-05 [shard_inline]: 2.241e-05 [merge_send_recv]: 2.249e-05 [auto_parallel]: 2.379e-05 [parallel]: 5.662e-05 [flash_sp]: 2.167e-05 [merge_comm]: 1.512e-05 [allreduce_fusion]: 1.352e-05 [matmul_add_comm_reduction]: 2.73e-05 [allreduce_slice_to_reducescatter]: 7.10017e-07 [virtual_shard_identity]: 2.743e-05 [virtual_dataset]: 2.111e-05 [get_grad_eliminate_]: 2.138e-05 [virtual_output]: 2.19e-05 [merge_forward]: 1.45e-05 [cell_reuse_recompute_pass]: 2.71999e-06 [offload_activation]: 2.612e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.633e-05 [merge_recompute_call_nodes]: 1.47999e-06 [before_grad]: 3.959e-05 [set_forward_comm_id_for_comm_node_pass]: 1.498e-05 [meta_fg_expand]: 1.234e-05 [flash_sp_send_recv_attached]: 3.58e-06 [receive_attached]: 2.81e-06 [after_resolve]: 2.654e-05 [a_after_grad]: 3.276e-05 [renormalize]: 0.00284412 [add_forward_monad_depend]: 8.61997e-06 [auto_monad_grad]: 3.41001e-06 [auto_monad_eliminator]: 4.03e-05 [cse]: 0.00027607 [a_3]: 0.00012657 [Cycle 2]: 0.00292422, [45] [expand_dump_flag]: 2.83e-06 [switch_simplify]: 1.829e-05 [loop_unroll]: 1.536e-05 [a_1]: 0.00046234 [with_stream_mark]: 2.404e-05 [recompute_prepare]: 1.769e-05 [updatestate_depend_eliminate]: 1.124e-05 [updatestate_assign_eliminate]: 9.29e-06 [updatestate_loads_eliminate]: 9.42001e-06 [parameter_eliminate]: 1.92999e-06 [a_2]: 0.00045683 [accelerated_algorithm]: 2.292e-05 [shard]: 1.37e-06 [meta_shard_fg_expand]: 2.91999e-06 [shard_inline]: 1.19e-05 [merge_send_recv]: 1.237e-05 [auto_parallel]: 1.267e-05 [parallel]: 6.28e-06 [flash_sp]: 3.69002e-06 [merge_comm]: 6.64001e-06 [allreduce_fusion]: 6.24001e-06 [matmul_add_comm_reduction]: 1.208e-05 [allreduce_slice_to_reducescatter]: 6.60017e-07 [virtual_shard_identity]: 1.238e-05 [virtual_dataset]: 1.061e-05 [get_grad_eliminate_]: 9.67001e-06 [virtual_output]: 9.51e-06 [merge_forward]: 6.74001e-06 [cell_reuse_recompute_pass]: 1.52001e-06 [offload_activation]: 1.389e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.246e-05 [merge_recompute_call_nodes]: 8.89995e-07 [before_grad]: 1.834e-05 [set_forward_comm_id_for_comm_node_pass]: 7.56999e-06 [meta_fg_expand]: 4.4e-06 [flash_sp_send_recv_attached]: 1.25001e-06 [receive_attached]: 1.99e-06 [after_resolve]: 1.443e-05 [a_after_grad]: 1.65e-05 [renormalize]: 0.00117955 [add_forward_monad_depend]: 6.11e-06 [auto_monad_grad]: 2.21e-06 [auto_monad_eliminator]: 2.178e-05 [cse]: 9.8e-05 [a_3]: 8.177e-05 [Cycle 3]: 0.00106678, [45] [expand_dump_flag]: 1.76998e-06 [switch_simplify]: 1.327e-05 [loop_unroll]: 1.081e-05 [a_1]: 0.00029383 [with_stream_mark]: 1.317e-05 [recompute_prepare]: 1.075e-05 [updatestate_depend_eliminate]: 6.17999e-06 [updatestate_assign_eliminate]: 5.32999e-06 [updatestate_loads_eliminate]: 5.49e-06 [parameter_eliminate]: 1.02e-06 [a_2]: 0.00016239 [accelerated_algorithm]: 1.841e-05 [shard]: 1.24e-06 [meta_shard_fg_expand]: 2.43e-06 [shard_inline]: 1.035e-05 [merge_send_recv]: 9.17999e-06 [auto_parallel]: 9.47999e-06 [parallel]: 5.16998e-06 [flash_sp]: 1.15001e-06 [merge_comm]: 6.41e-06 [allreduce_fusion]: 6.00002e-06 [matmul_add_comm_reduction]: 1.166e-05 [allreduce_slice_to_reducescatter]: 3.69997e-07 [virtual_shard_identity]: 1.119e-05 [virtual_dataset]: 1.017e-05 [get_grad_eliminate_]: 9.66e-06 [virtual_output]: 1.012e-05 [merge_forward]: 5.76998e-06 [cell_reuse_recompute_pass]: 1.49e-06 [offload_activation]: 1.176e-05 [cell_reuse_handle_not_recompute_node_pass]: 2.05e-05 [merge_recompute_call_nodes]: 8.30012e-07 [before_grad]: 1.798e-05 [set_forward_comm_id_for_comm_node_pass]: 6.58e-06 [meta_fg_expand]: 4.42e-06 [flash_sp_send_recv_attached]: 8.90024e-07 [receive_attached]: 1.24998e-06 [after_resolve]: 1.264e-05 [a_after_grad]: 1.585e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 1.34998e-06 [auto_monad_grad]: 1.39e-06 [auto_monad_eliminator]: 1.35e-05 [cse]: 3.642e-05 [a_3]: 6.584e-05 [py_interpret_to_execute_after_opt_a]: 1.767e-05 [slice_cell_reuse_recomputed_activation]: 2.09e-06 [rewriter_after_opt_a]: 8.548e-05 [convert_after_rewriter]: 1.194e-05 [order_py_execute_after_rewriter]: 8.23001e-06 [mutable_eliminate]: 0.00071081 [opt_b]: 0.00039541, [1] [Cycle 1]: 0.00038771, [7] [b_1]: 0.00026849 [b_2]: 1.349e-05 [updatestate_depend_eliminate]: 1.038e-05 [updatestate_assign_eliminate]: 5.37001e-06 [updatestate_loads_eliminate]: 5.23002e-06 [renormalize]: 4.2998e-07 [cse]: 4.414e-05 [optimize_parallel_all_gather_comm]: 2.432e-05 [overlap_param_gather]: 5.05999e-06 [cconv]: 3.231e-05 [loop_unroll]: 0.00047382 [opt_after_cconv]: 0.00015525, [1] [Cycle 1]: 0.00014931, [7] [c_1]: 5.286e-05 [parameter_eliminate]: 3.31001e-06 [updatestate_depend_eliminate]: 9.07999e-06 [updatestate_assign_eliminate]: 5.15999e-06 [updatestate_loads_eliminate]: 5.02e-06 [cse]: 3.952e-05 [renormalize]: 4.69998e-07 [remove_dup_value]: 7.459e-05 [tuple_transform]: 0.0001128, [1] [Cycle 1]: 0.00010765, [4] [d_1]: 7.535e-05 [none_parameter_eliminate]: 1.97999e-06 [renormalize]: 2.40019e-07 [switch_simplify]: 1.125e-05 [partial_unused_args_eliminate]: 2.11e-06 [add_recomputation]: 8.317e-05 [cse_after_recomputation]: 3.756e-05, [1] [Cycle 1]: 3.276e-05, [1] [cse]: 2.719e-05 [environ_conv]: 1.817e-05 [swap_dp_allreduce_reducescatter]: 9.72001e-06 [bias_add_comm_swap]: 2.70002e-06 [label_micro_interleaved_index]: 4.52e-06 [label_fine_grained_interleaved_index]: 3.54002e-06 [merge_cast_opt]: 1.59998e-06 [slice_recompute_activation]: 2.48998e-06 [micro_interleaved_order_control]: 2.24001e-06 [assign_add_opt]: 1.54e-06 [ForceFp32Comm]: 1.24998e-06 [remove_cast_before_assign_add]: 1.09998e-06 [full_micro_interleaved_order_control]: 2.19999e-06 [reorder_send_recv_between_fp_bp]: 2.74999e-06 [comm_op_add_attrs]: 1.20001e-06 [add_comm_op_reuse_tag]: 1.17e-06 [interleave_split_concat_branches]: 1.35001e-06 [interleave_parallel_branches]: 1.04e-06 [overlap_opt_shard_in_pipeline]: 2.39e-05 [overlap_opt_shard_grad_in_pipeline]: 1.86e-06 [control_data_broadcast_order]: 2.134e-05 [grouped_pairwise_exchange_alltoall]: 1.66e-06 [offloading_packed_experts]: 5.94999e-06 [overlap_recompute_and_grad_model_parallel]: 7.26001e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.54998e-06 [overlap_recompute_allgather_and_fa_grad]: 1.42999e-06 [overlap_recompute_comm]: 2.32001e-06 [overlap_grad_ring_attention]: 1.834e-05 [overlap_grad_flash_sp]: 4.32e-05 [begin_end_overlap_inline]: 5.19998e-07 [split_matmul_comm_elemetwise]: 2.61e-06 [split_layernorm_comm]: 1.92001e-06 [handle_group_info]: 1.22999e-06 [symbol_engine_optimizer]: 0.00034663, [1] [Cycle 1]: 0.00034137, [6] [build]: 4.67998e-06 [elim_shapecalc]: 0.00023916 [elim_not_effective]: 2.656e-05 [opt_reshape]: 1.134e-05 [fold_const_symbol]: 1.924e-05 [renormalize]: 3.09985e-07 [detach_backward]: 3.05998e-06 [pipeline_parallel_scheduler]: 1.71e-06 [auto_monad_reorder]: 3.719e-05 [get_jit_bprop_graph]: 1.87999e-06 [rewriter_after_jit_bprop_graph]: 4.32e-06 [opt_after_jit_grad]: 0.00050507 [validate]: 6.176e-05 Sums bootstrap : 0.000608s : 0.03% type_inference : 1.941934s : 88.27% event_method : 0.000076s : 0.00% auto_monad : 0.000250s : 0.01% graph_reusing : 0.000017s : 0.00% inline : 0.000003s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000089s : 0.00% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000018s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000117s : 0.01% 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 : 0.000072s : 0.00% optimize.rewriter_before_opt_a : 0.000287s : 0.01% optimize.opt_a.expand_dump_flag : 0.000011s : 0.00% optimize.opt_a.switch_simplify : 0.000317s : 0.01% optimize.opt_a.loop_unroll : 0.000374s : 0.02% optimize.opt_a.a_1 : 0.003293s : 0.15% optimize.opt_a.with_stream_mark : 0.000244s : 0.01% optimize.opt_a.recompute_prepare : 0.000078s : 0.00% optimize.opt_a.updatestate_depend_eliminate : 0.000036s : 0.00% optimize.opt_a.updatestate_assign_eliminate : 0.000032s : 0.00% optimize.opt_a.updatestate_loads_eliminate : 0.000032s : 0.00% optimize.opt_a.parameter_eliminate : 0.000009s : 0.00% optimize.opt_a.a_2 : 0.243077s : 11.05% optimize.opt_a.accelerated_algorithm : 0.000130s : 0.01% optimize.opt_a.shard : 0.000006s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000022s : 0.00% optimize.opt_a.shard_inline : 0.000045s : 0.00% optimize.opt_a.merge_send_recv : 0.000044s : 0.00% optimize.opt_a.auto_parallel : 0.000046s : 0.00% optimize.opt_a.parallel : 0.000068s : 0.00% optimize.opt_a.flash_sp : 0.000027s : 0.00% optimize.opt_a.merge_comm : 0.000028s : 0.00% optimize.opt_a.allreduce_fusion : 0.000026s : 0.00% optimize.opt_a.matmul_add_comm_reduction : 0.000051s : 0.00% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000051s : 0.00% optimize.opt_a.virtual_dataset : 0.000042s : 0.00% optimize.opt_a.get_grad_eliminate_ : 0.000041s : 0.00% optimize.opt_a.virtual_output : 0.000042s : 0.00% optimize.opt_a.merge_forward : 0.000027s : 0.00% optimize.opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% optimize.opt_a.offload_activation : 0.000052s : 0.00% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000089s : 0.00% optimize.opt_a.merge_recompute_call_nodes : 0.000003s : 0.00% optimize.opt_a.before_grad : 0.000076s : 0.00% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000029s : 0.00% optimize.opt_a.meta_fg_expand : 0.000021s : 0.00% optimize.opt_a.flash_sp_send_recv_attached : 0.000006s : 0.00% optimize.opt_a.receive_attached : 0.000006s : 0.00% optimize.opt_a.after_resolve : 0.000054s : 0.00% optimize.opt_a.a_after_grad : 0.000065s : 0.00% optimize.opt_a.renormalize : 0.004024s : 0.18% optimize.opt_a.add_forward_monad_depend : 0.000016s : 0.00% optimize.opt_a.auto_monad_grad : 0.000007s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000076s : 0.00% optimize.opt_a.cse : 0.000410s : 0.02% optimize.opt_a.a_3 : 0.000274s : 0.01% optimize.py_interpret_to_execute_after_opt_a : 0.000018s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000085s : 0.00% optimize.convert_after_rewriter : 0.000012s : 0.00% optimize.order_py_execute_after_rewriter : 0.000008s : 0.00% optimize.mutable_eliminate : 0.000711s : 0.03% optimize.opt_b.b_1 : 0.000268s : 0.01% optimize.opt_b.b_2 : 0.000013s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000010s : 0.00% 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 : 0.000044s : 0.00% optimize.optimize_parallel_all_gather_comm : 0.000024s : 0.00% optimize.overlap_param_gather : 0.000005s : 0.00% optimize.cconv : 0.000032s : 0.00% optimize.loop_unroll : 0.000474s : 0.02% optimize.opt_after_cconv.c_1 : 0.000053s : 0.00% optimize.opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% 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 : 0.000040s : 0.00% optimize.opt_after_cconv.renormalize : 0.000000s : 0.00% optimize.remove_dup_value : 0.000075s : 0.00% optimize.tuple_transform.d_1 : 0.000075s : 0.00% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000011s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000083s : 0.00% optimize.cse_after_recomputation.cse : 0.000027s : 0.00% optimize.environ_conv : 0.000018s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000010s : 0.00% optimize.bias_add_comm_swap : 0.000003s : 0.00% optimize.label_micro_interleaved_index : 0.000005s : 0.00% optimize.label_fine_grained_interleaved_index : 0.000004s : 0.00% optimize.merge_cast_opt : 0.000002s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000002s : 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 : 0.000024s : 0.00% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000021s : 0.00% 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 : 0.000002s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000002s : 0.00% optimize.overlap_grad_ring_attention : 0.000018s : 0.00% optimize.overlap_grad_flash_sp : 0.000043s : 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 : 0.000005s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000239s : 0.01% optimize.symbol_engine_optimizer.elim_not_effective : 0.000027s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000011s : 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 : 0.000037s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000004s : 0.00% opt_after_jit_grad : 0.000505s : 0.02% validate : 0.000062s : 0.00% Time group info: ------[substitution.] 0.001147 231 27.37% : 0.000314s : 44: substitution.arithmetic_simplify 2.05% : 0.000024s : 15: substitution.depend_value_elim 0.33% : 0.000004s : 7: substitution.elim_not_effective 0.27% : 0.000003s : 7: substitution.fold_const_symbol 0.82% : 0.000009s : 8: substitution.graph_param_transform 56.00% : 0.000642s : 39: substitution.inline 1.32% : 0.000015s : 31: substitution.j_node_and_user_rematch 4.89% : 0.000056s : 15: substitution.less_batch_normalization 0.60% : 0.000007s : 10: substitution.redundant_stop_gradient_eliminater 1.97% : 0.000023s : 31: substitution.remove_not_recompute_node 0.43% : 0.000005s : 5: substitution.replace_applicator 0.65% : 0.000007s : 3: substitution.replace_old_param 0.67% : 0.000008s : 5: substitution.set_cell_output_no_recompute 1.19% : 0.000014s : 5: substitution.specialize_transform 1.42% : 0.000016s : 6: substitution.switch_simplify ------[type_inference.] 1.941807 2 99.79% : 1.937751s : 1: type_inference.infer 0.21% : 0.004055s : 1: type_inference.specialize ------[replace.] 0.000338 40 10.80% : 0.000036s : 5: replace.depend_value_elim 60.65% : 0.000205s : 29: replace.inline 28.55% : 0.000096s : 6: replace.switch_simplify ------[match.] 0.000637 40 0.63% : 0.000004s : 5: match.depend_value_elim 97.33% : 0.000620s : 29: match.inline 2.04% : 0.000013s : 6: match.switch_simplify ------[predicate.] 0.242311 6095 0.00% : 0.000011s : 72: predicate.accumulaten_eliminater 0.00% : 0.000003s : 8: predicate.ad_related_special_op_eliminate 0.00% : 0.000011s : 80: predicate.addn_check_dump 0.00% : 0.000010s : 72: predicate.addn_zero_filter 0.00% : 0.000009s : 72: predicate.adjust_all_reduce_mul_add 0.01% : 0.000029s : 137: predicate.arithmetic_simplify 0.00% : 0.000011s : 72: predicate.cast_eliminate 0.00% : 0.000004s : 29: predicate.check_bprop_eliminate 0.00% : 0.000011s : 80: predicate.compare_switch_simplify 0.00% : 0.000001s : 8: predicate.const_output_eliminate 0.00% : 0.000011s : 69: predicate.depend_value_elim 0.00% : 0.000011s : 72: predicate.dict_get_item_const_eliminator 0.00% : 0.000011s : 72: predicate.dict_get_item_eliminator 0.00% : 0.000010s : 72: predicate.dict_set_item_eliminator 0.00% : 0.000003s : 16: predicate.dumpgradient_eliminate 0.00% : 0.000001s : 8: predicate.elim_not_effective 0.00% : 0.000002s : 8: predicate.elim_shapecalc_of_broadcastargs 0.00% : 0.000011s : 80: predicate.environ_add_const_eliminate 0.00% : 0.000011s : 80: predicate.environ_get_add_eliminate 0.00% : 0.000011s : 80: predicate.environ_get_depend_swap 0.01% : 0.000023s : 145: predicate.environ_get_eliminate 0.00% : 0.000011s : 80: predicate.environ_get_set_eliminate 0.01% : 0.000013s : 96: predicate.exchange_switch_depend_value 0.01% : 0.000019s : 96: predicate.float_depend_g_call 0.00% : 0.000011s : 80: predicate.float_environ_get_switch 0.01% : 0.000012s : 88: predicate.float_tuple_getitem_switch 0.00% : 0.000001s : 8: predicate.fold_const_symbol 0.00% : 0.000005s : 34: predicate.get_grad_eliminate 0.00% : 0.000001s : 8: predicate.graph_param_transform 99.62% : 0.241389s : 65: predicate.incorporate_call 0.00% : 0.000010s : 65: predicate.incorporate_call_switch 0.02% : 0.000056s : 293: predicate.inline 0.00% : 0.000006s : 34: predicate.inline_without_move 0.00% : 0.000002s : 34: predicate.j_node_and_user_rematch 0.00% : 0.000007s : 34: predicate.less_batch_normalization 0.01% : 0.000012s : 88: predicate.list_to_tuple_eliminator_ 0.01% : 0.000021s : 160: predicate.load_eliminater 0.00% : 0.000003s : 8: predicate.loop_unroll_after_grad 0.01% : 0.000022s : 138: predicate.loop_unroll_before_grad 0.01% : 0.000013s : 88: predicate.make_slice_get_slice_eliminator 0.00% : 0.000011s : 80: predicate.merge_addn 0.00% : 0.000004s : 29: predicate.micro_step_allgather_replace 0.00% : 0.000004s : 29: predicate.mini_step_allgather_replace 0.00% : 0.000010s : 72: predicate.minmaximum_grad 0.00% : 0.000003s : 8: predicate.mutable_eliminate 0.00% : 0.000001s : 8: predicate.opt_reshape 0.00% : 0.000001s : 8: predicate.parallel_virtual_node 0.01% : 0.000017s : 96: predicate.partial_defer_inline 0.01% : 0.000013s : 80: predicate.partial_eliminate 0.00% : 0.000010s : 72: predicate.print_const_string_wrapper 0.00% : 0.000009s : 60: predicate.reduce_all_const_elim 0.01% : 0.000013s : 72: predicate.reduce_eliminate 0.01% : 0.000022s : 160: predicate.redundant_stop_gradient_eliminater 0.00% : 0.000003s : 34: predicate.remove_not_recompute_node 0.00% : 0.000011s : 101: predicate.replace_applicator 0.00% : 0.000003s : 34: predicate.replace_old_param 0.00% : 0.000001s : 8: predicate.reset_defer_inline 0.00% : 0.000010s : 72: predicate.reshape_eliminate 0.00% : 0.000004s : 29: predicate.row_tensor_add_zeros_like 0.00% : 0.000001s : 8: predicate.row_tensor_eliminate 0.00% : 0.000006s : 29: predicate.same_eliminate 0.00% : 0.000005s : 54: predicate.set_cell_output_no_recompute 0.00% : 0.000007s : 34: predicate.shard_identity_eliminate 0.00% : 0.000003s : 16: predicate.special_op_eliminate 0.01% : 0.000014s : 80: predicate.specialize_transform 0.00% : 0.000006s : 29: predicate.split_environ_get_set_with_tuple_value 0.00% : 0.000006s : 34: predicate.stack_unstack_eliminate 0.00% : 0.000001s : 8: predicate.switch_call_monad_eliminater 0.01% : 0.000014s : 96: predicate.switch_defer_inline 0.01% : 0.000018s : 125: predicate.switch_layer_defer_inline 0.02% : 0.000051s : 334: predicate.switch_simplify 0.00% : 0.000010s : 72: predicate.tile_eliminate 0.00% : 0.000010s : 72: predicate.transpose_eliminate 0.01% : 0.000014s : 88: predicate.tuple_list_convert_item_index_to_positive 0.01% : 0.000014s : 88: predicate.tuple_list_get_item_const_eliminator 0.01% : 0.000013s : 88: predicate.tuple_list_get_item_depend_reorder 0.01% : 0.000026s : 153: predicate.tuple_list_get_item_eliminator 0.01% : 0.000013s : 88: predicate.tuple_list_get_set_item_eliminator 0.01% : 0.000024s : 153: predicate.tuple_list_set_item_eliminator 0.01% : 0.000013s : 88: predicate.tuple_to_list_eliminator_ 0.01% : 0.000021s : 160: predicate.updatestate_pure_node_eliminater 0.01% : 0.000031s : 225: predicate.updatestate_useless_node_eliminater 0.00% : 0.000002s : 8: predicate.value_based_eliminate 0.00% : 0.000005s : 34: predicate.virtual_dataset_eliminate 0.00% : 0.000006s : 34: predicate.virtual_output_eliminate 0.00% : 0.000001s : 8: predicate.virtual_view_grad_eliminate 0.00% : 0.000001s : 8: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003403 52 49.83% : 0.001696s : 19: func_graph_cloner_run.FuncGraphClonerGraph 2.71% : 0.000092s : 3: func_graph_cloner_run.FuncGraphClonerNode 47.47% : 0.001615s : 30: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.468978 267 0.00% : 0.000004s : 1: ForceFp32Comm 10.92% : 0.378756s : 1: add_attr 10.92% : 0.378740s : 1: add_attr_with_inline 0.00% : 0.000005s : 1: add_comm_op_reuse_tag 0.00% : 0.000087s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.01% : 0.000258s : 1: auto_monad 0.00% : 0.000041s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.02% : 0.000641s : 1: bootstrap 0.00% : 0.000036s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000025s : 1: control_data_broadcast_order 0.00% : 0.000015s : 1: convert_after_rewriter 0.00% : 0.000040s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000006s : 1: detach_backward 0.00% : 0.000022s : 1: environ_conv 0.00% : 0.000087s : 1: event_method 0.00% : 0.000005s : 1: full_micro_interleaved_order_control 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000021s : 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% : 0.000004s : 1: interleave_split_concat_branches 0.00% : 0.000007s : 1: label_fine_grained_interleaved_index 0.00% : 0.000007s : 1: label_micro_interleaved_index 0.01% : 0.000481s : 1: loop_unroll 0.00% : 0.000005s : 1: merge_cast_opt 0.00% : 0.000005s : 1: micro_interleaved_order_control 0.02% : 0.000719s : 1: mutable_eliminate 0.00% : 0.000009s : 1: offloading_packed_experts 0.00% : 0.000020s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000021s : 1: opt.transform.mutable_eliminate 7.14% : 0.247840s : 151: opt.transform.opt_a 0.00% : 0.000052s : 1: opt.transform.opt_after_cconv 0.00% : 0.000039s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.000223s : 28: opt.transform.opt_b 0.00% : 0.000084s : 2: opt.transform.opt_trans_graph 0.01% : 0.000291s : 4: opt.transform.symbol_engine_opt 7.33% : 0.254258s : 1: opt_a 0.00% : 0.000159s : 1: opt_after_cconv 0.01% : 0.000514s : 1: opt_after_jit_grad 0.01% : 0.000399s : 1: opt_b 7.43% : 0.257634s : 1: optimize 0.00% : 0.000028s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000011s : 1: order_py_execute_after_rewriter 0.00% : 0.000047s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000022s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000028s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000009s : 1: overlap_param_gather 0.00% : 0.000004s : 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 0.00% : 0.000122s : 1: pre_auto_parallel 0.00% : 0.000076s : 1: py_interpret_to_execute 0.00% : 0.000021s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000004s : 1: remove_cast_before_assign_add 0.00% : 0.000079s : 1: remove_dup_value 0.07% : 0.002380s : 2: renormalize.infer 0.05% : 0.001622s : 2: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000090s : 1: rewriter_after_opt_a 0.01% : 0.000293s : 1: rewriter_before_opt_a 0.00% : 0.000005s : 1: slice_cell_reuse_recomputed_activation 0.00% : 0.000005s : 1: slice_recompute_activation 0.00% : 0.000006s : 1: split_layernorm_comm 0.00% : 0.000006s : 1: split_matmul_comm_elemetwise 0.00% : 0.000013s : 1: swap_dp_allreduce_reducescatter 0.01% : 0.000350s : 1: symbol_engine_optimizer 0.00% : 0.000116s : 1: tuple_transform 55.98% : 1.941961s : 1: type_inference TotalTime = 2.58075, [30] [bootstrap]: 0.00052997 [type_inference]: 1.05946 [event_method]: 8.746e-05 [auto_monad]: 0.00026638 [graph_reusing]: 1.961e-05 [pre_auto_parallel]: 5.99999e-06 [py_interpret_to_execute]: 8.942e-05 [rewriter_before_opt_a]: 0.00033274 [expand_dump_flag]: 6.49999e-06 [jit_opt_a]: 1.51616, [2] [Cycle 1]: 1.51148, [27] [switch_simplify]: 0.00032115 [loop_unroll]: 0.00013498 [a_1]: 0.323618 [with_stream_mark]: 0.00022853 [recompute_prepare]: 6.433e-05 [updatestate_depend_eliminate]: 6.567e-05 [updatestate_assign_eliminate]: 2.279e-05 [updatestate_loads_eliminate]: 2.283e-05 [parameter_eliminate]: 6.56999e-06 [specialize_transform]: 7.07e-05 [updatestate_useless_node_eliminater]: 3.949e-05 [accelerated_algorithm]: 0.00011591 [meta_shard_fg_expand]: 1.494e-05 [get_grad_eliminate_]: 4.055e-05 [merge_forward]: 2.592e-05 [cell_reuse_recompute_pass]: 1.37e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.079e-05 [j_node_and_user_rematch]: 0.00030722 [meta_fg_expand]: 0.688706, [1] [partial_eliminate_before_grad]: 0.00029496, [1] [Cycle 1]: 0.00028471, [1] [partial_eliminate_]: 0.00026323 [replace_old_param]: 0.00042266 [inline_without_move]: 0.00049258 [renormalize]: 0.496235 [add_forward_monad_depend]: 1.36e-05 [auto_monad_grad]: 2.74001e-06 [auto_monad_eliminator]: 1.654e-05 [cse]: 3.047e-05 [replace_applicator]: 2.195e-05 [Cycle 2]: 0.0005717, [27] [switch_simplify]: 7.6e-06 [loop_unroll]: 7.3e-06 [a_1]: 8.053e-05 [with_stream_mark]: 1.442e-05 [recompute_prepare]: 4.68999e-06 [updatestate_depend_eliminate]: 3.91999e-06 [updatestate_assign_eliminate]: 3.16001e-06 [updatestate_loads_eliminate]: 2.41e-06 [parameter_eliminate]: 1.82999e-06 [specialize_transform]: 3.86999e-06 [updatestate_useless_node_eliminater]: 3.48e-06 [accelerated_algorithm]: 4.4e-06 [meta_shard_fg_expand]: 1.89999e-06 [get_grad_eliminate_]: 3.33e-06 [merge_forward]: 3.83001e-06 [cell_reuse_recompute_pass]: 4.21001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.87e-05 [j_node_and_user_rematch]: 6.61e-06 [meta_fg_expand]: 0.00023351 [replace_old_param]: 6.68e-06 [inline_without_move]: 4.62e-06 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 2.22001e-06 [auto_monad_grad]: 1.22e-06 [auto_monad_eliminator]: 6.29999e-06 [cse]: 1.297e-05 [replace_applicator]: 4.09002e-06 [py_interpret_to_execute_after_opt_a]: 1.2e-05 [rewriter_after_opt_a]: 3.625e-05 [convert_after_rewriter]: 7.05e-06 [order_py_execute_after_rewriter]: 4.72998e-06 [mutable_eliminate]: 0.00069123 [jit_opt_b]: 4.709e-05, [1] [Cycle 1]: 3.828e-05, [2] [frontend_op_eliminate]: 1.278e-05 [inline_after_opt_a]: 1.388e-05 [cconv]: 2.776e-05 [loop_unroll]: 0.00043704 [jit_opt_after_cconv]: 0.00081369, [1] [Cycle 1]: 0.00015161, [11] [c_1]: 2.507e-05 [parameter_eliminate]: 2.95002e-06 [updatestate_depend_eliminate]: 6.38e-06 [updatestate_assign_eliminate]: 1.91e-06 [updatestate_loads_eliminate]: 1.84e-06 [cse]: 1.949e-05 [call_graph_tuple_transform]: 1.699e-05 [tuple_list_get_item_eliminator]: 4.62998e-06 [none_parameter_eliminate]: 1.59e-06 [renormalize]: 5.89993e-07 [switch_simplify]: 4.15e-06 [remove_dup_value]: 1.669e-05 [partial_unused_args_eliminate]: 2.17999e-06 [environ_conv]: 5.44998e-06 [add_recomputation]: 4.668e-05 [cse_after_recomputation]: 2.197e-05, [1] [Cycle 1]: 1.504e-05, [1] [cse]: 8.95001e-06 [auto_monad_reorder]: 1.46e-05 [get_jit_bprop_graph]: 2.31e-06 [rewriter_after_jit_bprop_graph]: 0.00054618 [opt_after_jit_grad]: 0.00051825 [symbol_engine_optimizer]: 7.674e-05, [1] [Cycle 1]: 7.046e-05, [6] [build]: 4.16001e-06 [elim_shapecalc]: 1.031e-05 [elim_not_effective]: 1.189e-05 [opt_reshape]: 4.79998e-06 [fold_const_symbol]: 7.73001e-06 [renormalize]: 4.59986e-07 [validate]: 3.428e-05 Sums bootstrap : 0.000530s : 0.03% type_inference : 1.059459s : 56.16% event_method : 0.000087s : 0.00% auto_monad : 0.000266s : 0.01% graph_reusing : 0.000020s : 0.00% pre_auto_parallel : 0.000006s : 0.00% py_interpret_to_execute : 0.000089s : 0.00% rewriter_before_opt_a : 0.000333s : 0.02% expand_dump_flag : 0.000006s : 0.00% jit_opt_a.switch_simplify : 0.000329s : 0.02% jit_opt_a.loop_unroll : 0.000142s : 0.01% jit_opt_a.a_1 : 0.323699s : 17.16% jit_opt_a.with_stream_mark : 0.000243s : 0.01% jit_opt_a.recompute_prepare : 0.000069s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000070s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000026s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000025s : 0.00% jit_opt_a.parameter_eliminate : 0.000008s : 0.00% jit_opt_a.specialize_transform : 0.000075s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000043s : 0.00% jit_opt_a.accelerated_algorithm : 0.000120s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000017s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000044s : 0.00% jit_opt_a.merge_forward : 0.000030s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000099s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000314s : 0.02% jit_opt_a.meta_fg_expand : 0.000234s : 0.01% jit_opt_a.meta_fg_expand.partial_eliminate_before_grad.partial_eliminate_ : 0.000263s : 0.01% jit_opt_a.replace_old_param : 0.000429s : 0.02% jit_opt_a.inline_without_move : 0.000497s : 0.03% jit_opt_a.renormalize : 0.496235s : 26.30% jit_opt_a.add_forward_monad_depend : 0.000016s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000023s : 0.00% jit_opt_a.cse : 0.000043s : 0.00% jit_opt_a.replace_applicator : 0.000026s : 0.00% py_interpret_to_execute_after_opt_a : 0.000012s : 0.00% rewriter_after_opt_a : 0.000036s : 0.00% convert_after_rewriter : 0.000007s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000691s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000013s : 0.00% jit_opt_b.inline_after_opt_a : 0.000014s : 0.00% cconv : 0.000028s : 0.00% loop_unroll : 0.000437s : 0.02% jit_opt_after_cconv.c_1 : 0.000025s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.cse : 0.000019s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000017s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000005s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000004s : 0.00% remove_dup_value : 0.000017s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000005s : 0.00% add_recomputation : 0.000047s : 0.00% cse_after_recomputation.cse : 0.000009s : 0.00% auto_monad_reorder : 0.000015s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000546s : 0.03% opt_after_jit_grad : 0.000518s : 0.03% symbol_engine_optimizer.build : 0.000004s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000010s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000012s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000005s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000008s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000034s : 0.00% Time group info: ------[substitution.] 0.002349 246 4.47% : 0.000105s : 9: substitution.arithmetic_simplify 0.85% : 0.000020s : 11: substitution.depend_value_elim 0.07% : 0.000002s : 1: substitution.elim_not_effective 0.07% : 0.000002s : 1: substitution.fold_const_symbol 35.35% : 0.000830s : 4: substitution.getattr_setattr_resolve 0.20% : 0.000005s : 1: substitution.graph_param_transform 36.72% : 0.000863s : 34: substitution.inline 7.26% : 0.000170s : 22: substitution.inline_without_move 2.54% : 0.000060s : 34: substitution.j_node_and_user_rematch 2.82% : 0.000066s : 5: substitution.less_batch_normalization 0.20% : 0.000005s : 2: substitution.minmaximum_grad 2.65% : 0.000062s : 8: substitution.partial_eliminate 0.28% : 0.000007s : 5: substitution.redundant_stop_gradient_eliminater 0.91% : 0.000021s : 34: substitution.remove_not_recompute_node 0.63% : 0.000015s : 7: substitution.replace_applicator 1.12% : 0.000026s : 43: substitution.replace_old_param 0.38% : 0.000009s : 6: substitution.set_cell_output_no_recompute 0.77% : 0.000018s : 5: substitution.specialize_transform 0.76% : 0.000018s : 6: substitution.switch_simplify 0.42% : 0.000010s : 2: substitution.tuple_list_convert_item_index_to_positive 0.32% : 0.000008s : 2: substitution.tuple_list_get_item_depend_reorder 1.21% : 0.000028s : 4: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.059214 2 99.53% : 1.054244s : 1: type_inference.infer 0.47% : 0.004971s : 1: type_inference.specialize ------[replace.] 0.000490 45 13.40% : 0.000066s : 3: replace.getattr_setattr_resolve 53.23% : 0.000261s : 29: replace.inline 13.17% : 0.000065s : 5: replace.partial_eliminate 16.85% : 0.000083s : 6: replace.switch_simplify 3.36% : 0.000016s : 2: replace.tuple_list_get_item_eliminator ------[match.] 0.001674 45 46.31% : 0.000775s : 3: match.getattr_setattr_resolve 50.23% : 0.000841s : 29: match.inline 1.88% : 0.000031s : 5: match.partial_eliminate 0.89% : 0.000015s : 6: match.switch_simplify 0.69% : 0.000012s : 2: match.tuple_list_get_item_eliminator ------[predicate.] 0.000703 4470 1.25% : 0.000009s : 65: predicate.accumulaten_eliminater 0.17% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.17% : 0.000008s : 65: predicate.addn_check_dump 1.27% : 0.000009s : 65: predicate.addn_zero_filter 2.03% : 0.000014s : 65: predicate.arithmetic_simplify 1.39% : 0.000010s : 65: predicate.cast_eliminate 0.06% : 0.000000s : 1: predicate.check_bprop_eliminate 1.21% : 0.000008s : 65: predicate.compare_switch_simplify 1.37% : 0.000010s : 65: predicate.depend_value_elim 1.19% : 0.000008s : 65: predicate.dict_get_item_const_eliminator 1.28% : 0.000009s : 65: predicate.dict_get_item_eliminator 1.33% : 0.000009s : 65: predicate.dict_set_item_eliminator 0.16% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.03% : 0.000000s : 1: predicate.elim_not_effective 0.49% : 0.000003s : 1: predicate.elim_shapecalc_of_broadcastargs 0.77% : 0.000005s : 43: predicate.eliminate_switch_conditional_partial_ 0.77% : 0.000005s : 43: predicate.eliminate_switch_layer_partial_ 0.80% : 0.000006s : 43: predicate.eliminate_switch_partial_ 1.27% : 0.000009s : 65: predicate.environ_add_const_eliminate 1.37% : 0.000010s : 65: predicate.environ_get_add_eliminate 1.18% : 0.000008s : 65: predicate.environ_get_depend_swap 1.28% : 0.000009s : 65: predicate.environ_get_eliminate 1.28% : 0.000009s : 65: predicate.environ_get_set_eliminate 0.01% : 0.000000s : 1: predicate.fold_const_symbol 0.99% : 0.000007s : 42: predicate.get_grad_eliminate 1.05% : 0.000007s : 20: predicate.getattr_setattr_resolve 0.05% : 0.000000s : 1: predicate.graph_param_transform 4.20% : 0.000029s : 98: predicate.inline 7.75% : 0.000054s : 314: predicate.inline_without_move 0.49% : 0.000003s : 42: predicate.j_node_and_user_rematch 1.03% : 0.000007s : 42: predicate.less_batch_normalization 1.79% : 0.000013s : 67: predicate.list_to_tuple_eliminator_ 1.27% : 0.000009s : 68: predicate.load_eliminater 0.17% : 0.000001s : 1: predicate.loop_unroll_after_grad 3.45% : 0.000024s : 154: predicate.loop_unroll_before_grad 1.46% : 0.000010s : 66: predicate.make_slice_get_slice_eliminator 1.21% : 0.000008s : 65: predicate.merge_addn 1.16% : 0.000008s : 65: predicate.minmaximum_grad 0.20% : 0.000001s : 1: predicate.mutable_eliminate 0.06% : 0.000000s : 1: predicate.opt_reshape 3.12% : 0.000022s : 116: predicate.partial_eliminate 1.49% : 0.000010s : 65: predicate.print_const_string_wrapper 1.72% : 0.000012s : 65: predicate.reduce_eliminate 1.36% : 0.000010s : 67: predicate.redundant_stop_gradient_eliminater 0.53% : 0.000004s : 42: predicate.remove_not_recompute_node 1.15% : 0.000008s : 69: predicate.replace_applicator 3.44% : 0.000024s : 314: predicate.replace_old_param 0.04% : 0.000000s : 1: predicate.reset_defer_inline 1.34% : 0.000009s : 65: predicate.reshape_eliminate 1.56% : 0.000011s : 65: predicate.row_tensor_add_zeros_like 0.11% : 0.000001s : 1: predicate.row_tensor_eliminate 1.36% : 0.000010s : 65: predicate.same_eliminate 0.50% : 0.000003s : 42: predicate.set_cell_output_no_recompute 0.11% : 0.000001s : 2: predicate.special_op_eliminate 1.02% : 0.000007s : 42: predicate.specialize_transform 1.42% : 0.000010s : 65: predicate.split_environ_get_set_with_tuple_value 1.26% : 0.000009s : 65: predicate.stack_unstack_eliminate 0.04% : 0.000000s : 1: predicate.switch_call_monad_eliminater 3.86% : 0.000027s : 96: predicate.switch_defer_inline 2.11% : 0.000015s : 96: predicate.switch_layer_defer_inline 5.99% : 0.000042s : 263: predicate.switch_simplify 1.36% : 0.000010s : 65: predicate.tile_eliminate 1.22% : 0.000009s : 65: predicate.transpose_eliminate 1.70% : 0.000012s : 65: predicate.tuple_list_convert_item_index_to_positive 1.44% : 0.000010s : 65: predicate.tuple_list_get_item_depend_reorder 2.59% : 0.000018s : 69: predicate.tuple_list_get_item_eliminator 1.77% : 0.000012s : 65: predicate.tuple_list_set_item_eliminator 1.38% : 0.000010s : 67: predicate.tuple_to_list_eliminator_ 1.26% : 0.000009s : 68: predicate.updatestate_pure_node_eliminater 2.51% : 0.000018s : 110: predicate.updatestate_useless_node_eliminater 1.69% : 0.000012s : 65: predicate.value_based_eliminate 0.03% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.07% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.011528 115 88.15% : 0.010163s : 77: func_graph_cloner_run.FuncGraphClonerGraph 1.04% : 0.000120s : 3: func_graph_cloner_run.FuncGraphClonerNode 10.81% : 0.001246s : 35: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.403847 75 0.00% : 0.000050s : 1: add_recomputation 0.01% : 0.000273s : 1: auto_monad 0.00% : 0.000017s : 1: auto_monad_reorder 0.02% : 0.000557s : 1: bootstrap 0.00% : 0.000031s : 1: cconv 0.00% : 0.000009s : 1: convert_after_rewriter 0.00% : 0.000024s : 1: cse_after_recomputation 0.00% : 0.000007s : 1: environ_conv 0.00% : 0.000094s : 1: event_method 0.00% : 0.000009s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000023s : 1: graph_reusing 44.54% : 1.516169s : 1: jit_opt_a 0.02% : 0.000817s : 1: jit_opt_after_cconv 0.00% : 0.000050s : 1: jit_opt_b 0.01% : 0.000445s : 1: loop_unroll 0.02% : 0.000699s : 1: mutable_eliminate 9.57% : 0.325833s : 26: opt.transform.jit_opt_a 0.00% : 0.000045s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000019s : 4: opt.transform.jit_opt_b 0.00% : 0.000010s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000011s : 1: opt.transform.mutable_eliminate 0.00% : 0.000019s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.000960s : 2: opt.transform.opt_resolve 0.01% : 0.000260s : 1: opt.transform.partial_eliminate 0.00% : 0.000030s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000527s : 1: opt_after_jit_grad 0.00% : 0.000007s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000008s : 1: pre_auto_parallel 0.00% : 0.000093s : 1: py_interpret_to_execute 0.00% : 0.000015s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000019s : 1: remove_dup_value 14.55% : 0.495274s : 1: renormalize.infer 0.03% : 0.000944s : 1: renormalize.specialize 0.02% : 0.000552s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000039s : 1: rewriter_after_opt_a 0.01% : 0.000338s : 1: rewriter_before_opt_a 0.00% : 0.000080s : 1: symbol_engine_optimizer 31.13% : 1.059482s : 1: type_inference . [hook] pytest_runtest_teardown:test_stream_with_break_statement tests/st/compiler/stream_event/test_with_stream.py::test_stream_with_break_statement,max_mem:8.0M =============================== 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 ================== 1 passed, 25 warnings in 178.00s (0:02:57) ==================