==================================================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_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 1 item test_with_stream.py TotalTime = 0.436356, [21] [bootstrap]: 0.00062146 [type_inference]: 0.350714 [event_method]: 9.096e-05 [auto_monad]: 0.00028524 [graph_reusing]: 1.658e-05 [inline]: 3.60998e-06 [add_attr]: 0.0249654, [1] [add_attr_with_inline]: 0.0249504, [1] [Cycle 1]: 0.00017966, [2] [tag_attr]: 8.048e-05 [meta_addattr_fg_expand]: 1.858e-05 [parallel-infer-symbol]: 3.53e-06 [pre_auto_parallel]: 0.00012524 [insert-virtual-dataset]: 2.71e-06 [parallel-infer-symbol-second]: 1.37e-06 [dataset_repeat_opt]: 2.32001e-06 [pipeline_split]: 1.91e-06 [optimize]: 0.0584757, [53] [py_interpret_to_execute]: 8.123e-05 [rewriter_before_opt_a]: 0.00032357 [opt_a]: 0.0470906, [3] [Cycle 1]: 0.0351571, [45] [expand_dump_flag]: 7.88001e-06 [switch_simplify]: 0.00031683 [loop_unroll]: 0.00010268 [a_1]: 0.0113457 [with_stream_mark]: 0.00029382 [recompute_prepare]: 6.696e-05 [updatestate_depend_eliminate]: 6.505e-05 [updatestate_assign_eliminate]: 1.92e-05 [updatestate_loads_eliminate]: 1.9e-05 [parameter_eliminate]: 7.75e-06 [a_2]: 0.00949586 [accelerated_algorithm]: 8.378e-05 [shard]: 2.81999e-06 [meta_shard_fg_expand]: 1.939e-05 [shard_inline]: 2.408e-05 [merge_send_recv]: 2.169e-05 [auto_parallel]: 2.038e-05 [parallel]: 4.474e-05 [flash_sp]: 2.017e-05 [merge_comm]: 1.54e-05 [allreduce_fusion]: 1.371e-05 [matmul_add_comm_reduction]: 2.567e-05 [allreduce_slice_to_reducescatter]: 7.89994e-07 [virtual_shard_identity]: 2.657e-05 [virtual_dataset]: 2.141e-05 [get_grad_eliminate_]: 2.072e-05 [virtual_output]: 2.137e-05 [merge_forward]: 1.325e-05 [cell_reuse_recompute_pass]: 2.75997e-06 [offload_activation]: 2.355e-05 [cell_reuse_handle_not_recompute_node_pass]: 4.909e-05 [merge_recompute_call_nodes]: 1.67001e-06 [before_grad]: 3.867e-05 [set_forward_comm_id_for_comm_node_pass]: 1.58e-05 [meta_fg_expand]: 1.415e-05 [flash_sp_send_recv_attached]: 3.35e-06 [receive_attached]: 1.465e-05 [after_resolve]: 2.641e-05 [a_after_grad]: 3.434e-05 [renormalize]: 0.0118124 [add_forward_monad_depend]: 1.187e-05 [auto_monad_grad]: 3.11001e-06 [auto_monad_eliminator]: 4.783e-05 [cse]: 0.00033438 [a_3]: 0.00012978 [Cycle 2]: 0.0109107, [45] [expand_dump_flag]: 2.46998e-06 [switch_simplify]: 1.974e-05 [loop_unroll]: 1.45e-05 [a_1]: 0.00043735 [with_stream_mark]: 2.801e-05 [recompute_prepare]: 1.682e-05 [updatestate_depend_eliminate]: 1.184e-05 [updatestate_assign_eliminate]: 9.23002e-06 [updatestate_loads_eliminate]: 9.72001e-06 [parameter_eliminate]: 2.66e-06 [a_2]: 0.00040791 [accelerated_algorithm]: 1.689e-05 [shard]: 2.46998e-06 [meta_shard_fg_expand]: 3.27002e-06 [shard_inline]: 8.75999e-06 [merge_send_recv]: 1.374e-05 [auto_parallel]: 1.28e-05 [parallel]: 1.013e-05 [flash_sp]: 4.37998e-06 [merge_comm]: 5.61998e-06 [allreduce_fusion]: 5.17e-06 [matmul_add_comm_reduction]: 1.472e-05 [allreduce_slice_to_reducescatter]: 6.90023e-07 [virtual_shard_identity]: 1.044e-05 [virtual_dataset]: 8.27e-06 [get_grad_eliminate_]: 7.77998e-06 [virtual_output]: 8.94e-06 [merge_forward]: 6.12001e-06 [cell_reuse_recompute_pass]: 2.66e-06 [offload_activation]: 1.343e-05 [cell_reuse_handle_not_recompute_node_pass]: 1.88e-05 [merge_recompute_call_nodes]: 1.52001e-06 [before_grad]: 1.61e-05 [set_forward_comm_id_for_comm_node_pass]: 6.29999e-06 [meta_fg_expand]: 4.27e-06 [flash_sp_send_recv_attached]: 2.01e-06 [receive_attached]: 3.00998e-06 [after_resolve]: 1.372e-05 [a_after_grad]: 1.483e-05 [renormalize]: 0.00918156 [add_forward_monad_depend]: 1.104e-05 [auto_monad_grad]: 3.14001e-06 [auto_monad_eliminator]: 2.956e-05 [cse]: 0.00012699 [a_3]: 8.169e-05 [Cycle 3]: 0.00099935, [45] [expand_dump_flag]: 2.31e-06 [switch_simplify]: 1.388e-05 [loop_unroll]: 9.05999e-06 [a_1]: 0.00025861 [with_stream_mark]: 1.921e-05 [recompute_prepare]: 9.58002e-06 [updatestate_depend_eliminate]: 6.11998e-06 [updatestate_assign_eliminate]: 5.19998e-06 [updatestate_loads_eliminate]: 4.68999e-06 [parameter_eliminate]: 2.04e-06 [a_2]: 0.00012691 [accelerated_algorithm]: 1.578e-05 [shard]: 2.46998e-06 [meta_shard_fg_expand]: 4.52e-06 [shard_inline]: 9.09998e-06 [merge_send_recv]: 1.187e-05 [auto_parallel]: 1.193e-05 [parallel]: 9.15001e-06 [flash_sp]: 2.04999e-06 [merge_comm]: 5.64998e-06 [allreduce_fusion]: 5.37001e-06 [matmul_add_comm_reduction]: 1.327e-05 [allreduce_slice_to_reducescatter]: 6.69999e-07 [virtual_shard_identity]: 1.015e-05 [virtual_dataset]: 8.47e-06 [get_grad_eliminate_]: 8.22e-06 [virtual_output]: 8.27e-06 [merge_forward]: 5.97999e-06 [cell_reuse_recompute_pass]: 2.61e-06 [offload_activation]: 1.275e-05 [cell_reuse_handle_not_recompute_node_pass]: 1.917e-05 [merge_recompute_call_nodes]: 1.45999e-06 [before_grad]: 1.46e-05 [set_forward_comm_id_for_comm_node_pass]: 5.46e-06 [meta_fg_expand]: 4.54998e-06 [flash_sp_send_recv_attached]: 2.21e-06 [receive_attached]: 2.45002e-06 [after_resolve]: 1.25e-05 [a_after_grad]: 1.39e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 1.45999e-06 [auto_monad_grad]: 1.54e-06 [auto_monad_eliminator]: 1.314e-05 [cse]: 3.706e-05 [a_3]: 5.516e-05 [py_interpret_to_execute_after_opt_a]: 1.907e-05 [slice_cell_reuse_recomputed_activation]: 2.01e-06 [rewriter_after_opt_a]: 8.198e-05 [convert_after_rewriter]: 1.071e-05 [order_py_execute_after_rewriter]: 6.83998e-06 [mutable_eliminate]: 0.00072456 [opt_b]: 0.00030329, [1] [Cycle 1]: 0.0002953, [7] [b_1]: 0.00018391 [b_2]: 1.08e-05 [updatestate_depend_eliminate]: 9.05999e-06 [updatestate_assign_eliminate]: 4.08999e-06 [updatestate_loads_eliminate]: 4.21001e-06 [renormalize]: 5.09986e-07 [cse]: 4.675e-05 [optimize_parallel_all_gather_comm]: 2.226e-05 [overlap_param_gather]: 1.99e-06 [cconv]: 3.399e-05 [loop_unroll]: 0.00870121 [opt_after_cconv]: 0.00021285, [1] [Cycle 1]: 0.00020182, [7] [c_1]: 5.133e-05 [parameter_eliminate]: 7.15998e-06 [updatestate_depend_eliminate]: 1.747e-05 [updatestate_assign_eliminate]: 5.34998e-06 [updatestate_loads_eliminate]: 5.14e-06 [cse]: 7.458e-05 [renormalize]: 9.20001e-07 [remove_dup_value]: 7.921e-05 [tuple_transform]: 0.00010834, [1] [Cycle 1]: 0.00010233, [4] [d_1]: 7.11e-05 [none_parameter_eliminate]: 1.82999e-06 [renormalize]: 1.8999e-07 [switch_simplify]: 1.028e-05 [partial_unused_args_eliminate]: 2.31e-06 [add_recomputation]: 8.312e-05 [cse_after_recomputation]: 3.065e-05, [1] [Cycle 1]: 2.614e-05, [1] [cse]: 2.051e-05 [environ_conv]: 1.924e-05 [swap_dp_allreduce_reducescatter]: 7.97e-06 [bias_add_comm_swap]: 3.23e-06 [label_micro_interleaved_index]: 6.93e-06 [label_fine_grained_interleaved_index]: 3.17002e-06 [merge_cast_opt]: 1.42999e-06 [slice_recompute_activation]: 2.12999e-06 [micro_interleaved_order_control]: 2.61e-06 [assign_add_opt]: 1.43002e-06 [ForceFp32Comm]: 1.20999e-06 [remove_cast_before_assign_add]: 1.33002e-06 [full_micro_interleaved_order_control]: 2.58003e-06 [reorder_send_recv_between_fp_bp]: 2.79999e-06 [comm_op_add_attrs]: 1.45001e-06 [add_comm_op_reuse_tag]: 1.08001e-06 [interleave_split_concat_branches]: 1.14e-06 [interleave_parallel_branches]: 1.11002e-06 [overlap_opt_shard_in_pipeline]: 2.374e-05 [overlap_opt_shard_grad_in_pipeline]: 1.77001e-06 [control_data_broadcast_order]: 2.101e-05 [grouped_pairwise_exchange_alltoall]: 2.46e-06 [offloading_packed_experts]: 5.25999e-06 [overlap_recompute_and_grad_model_parallel]: 6.83e-06 [overlap_grad_matmul_and_grad_allreduce]: 1.37999e-06 [overlap_recompute_allgather_and_fa_grad]: 1.37999e-06 [overlap_recompute_comm]: 2.69999e-06 [overlap_grad_ring_attention]: 5.27999e-06 [overlap_grad_flash_sp]: 5.324e-05 [begin_end_overlap_inline]: 5.29981e-07 [split_matmul_comm_elemetwise]: 2.02001e-06 [split_layernorm_comm]: 1.55999e-06 [handle_group_info]: 1.00001e-06 [symbol_engine_optimizer]: 9.989e-05, [1] [Cycle 1]: 9.53e-05, [6] [build]: 4.69002e-06 [elim_shapecalc]: 1.431e-05 [elim_not_effective]: 2.011e-05 [opt_reshape]: 1.058e-05 [fold_const_symbol]: 1.563e-05 [renormalize]: 2.10013e-07 [detach_backward]: 2.25002e-06 [pipeline_parallel_scheduler]: 1.57999e-06 [auto_monad_reorder]: 2.806e-05 [get_jit_bprop_graph]: 2.12999e-06 [rewriter_after_jit_bprop_graph]: 6.58e-06 [opt_after_jit_grad]: 0.00073471 [validate]: 6.459e-05 Sums bootstrap : 0.000621s : 0.15% type_inference : 0.350714s : 85.56% event_method : 0.000091s : 0.02% auto_monad : 0.000285s : 0.07% graph_reusing : 0.000017s : 0.00% inline : 0.000004s : 0.00% add_attr.add_attr_with_inline.tag_attr : 0.000080s : 0.02% add_attr.add_attr_with_inline.meta_addattr_fg_expand : 0.000019s : 0.00% parallel-infer-symbol : 0.000004s : 0.00% pre_auto_parallel : 0.000125s : 0.03% insert-virtual-dataset : 0.000003s : 0.00% parallel-infer-symbol-second : 0.000001s : 0.00% dataset_repeat_opt : 0.000002s : 0.00% pipeline_split : 0.000002s : 0.00% optimize.py_interpret_to_execute : 0.000081s : 0.02% optimize.rewriter_before_opt_a : 0.000324s : 0.08% optimize.opt_a.expand_dump_flag : 0.000013s : 0.00% optimize.opt_a.switch_simplify : 0.000350s : 0.09% optimize.opt_a.loop_unroll : 0.000126s : 0.03% optimize.opt_a.a_1 : 0.012042s : 2.94% optimize.opt_a.with_stream_mark : 0.000341s : 0.08% optimize.opt_a.recompute_prepare : 0.000093s : 0.02% optimize.opt_a.updatestate_depend_eliminate : 0.000083s : 0.02% optimize.opt_a.updatestate_assign_eliminate : 0.000034s : 0.01% optimize.opt_a.updatestate_loads_eliminate : 0.000033s : 0.01% optimize.opt_a.parameter_eliminate : 0.000012s : 0.00% optimize.opt_a.a_2 : 0.010031s : 2.45% optimize.opt_a.accelerated_algorithm : 0.000116s : 0.03% optimize.opt_a.shard : 0.000008s : 0.00% optimize.opt_a.meta_shard_fg_expand : 0.000027s : 0.01% optimize.opt_a.shard_inline : 0.000042s : 0.01% optimize.opt_a.merge_send_recv : 0.000047s : 0.01% optimize.opt_a.auto_parallel : 0.000045s : 0.01% optimize.opt_a.parallel : 0.000064s : 0.02% optimize.opt_a.flash_sp : 0.000027s : 0.01% optimize.opt_a.merge_comm : 0.000027s : 0.01% optimize.opt_a.allreduce_fusion : 0.000024s : 0.01% optimize.opt_a.matmul_add_comm_reduction : 0.000054s : 0.01% optimize.opt_a.allreduce_slice_to_reducescatter : 0.000002s : 0.00% optimize.opt_a.virtual_shard_identity : 0.000047s : 0.01% optimize.opt_a.virtual_dataset : 0.000038s : 0.01% optimize.opt_a.get_grad_eliminate_ : 0.000037s : 0.01% optimize.opt_a.virtual_output : 0.000039s : 0.01% optimize.opt_a.merge_forward : 0.000025s : 0.01% optimize.opt_a.cell_reuse_recompute_pass : 0.000008s : 0.00% optimize.opt_a.offload_activation : 0.000050s : 0.01% optimize.opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000087s : 0.02% optimize.opt_a.merge_recompute_call_nodes : 0.000005s : 0.00% optimize.opt_a.before_grad : 0.000069s : 0.02% optimize.opt_a.set_forward_comm_id_for_comm_node_pass : 0.000028s : 0.01% optimize.opt_a.meta_fg_expand : 0.000023s : 0.01% optimize.opt_a.flash_sp_send_recv_attached : 0.000008s : 0.00% optimize.opt_a.receive_attached : 0.000020s : 0.00% optimize.opt_a.after_resolve : 0.000053s : 0.01% optimize.opt_a.a_after_grad : 0.000063s : 0.02% optimize.opt_a.renormalize : 0.020994s : 5.12% optimize.opt_a.add_forward_monad_depend : 0.000024s : 0.01% optimize.opt_a.auto_monad_grad : 0.000008s : 0.00% optimize.opt_a.auto_monad_eliminator : 0.000091s : 0.02% optimize.opt_a.cse : 0.000498s : 0.12% optimize.opt_a.a_3 : 0.000267s : 0.07% optimize.py_interpret_to_execute_after_opt_a : 0.000019s : 0.00% optimize.slice_cell_reuse_recomputed_activation : 0.000002s : 0.00% optimize.rewriter_after_opt_a : 0.000082s : 0.02% optimize.convert_after_rewriter : 0.000011s : 0.00% optimize.order_py_execute_after_rewriter : 0.000007s : 0.00% optimize.mutable_eliminate : 0.000725s : 0.18% optimize.opt_b.b_1 : 0.000184s : 0.04% optimize.opt_b.b_2 : 0.000011s : 0.00% optimize.opt_b.updatestate_depend_eliminate : 0.000009s : 0.00% optimize.opt_b.updatestate_assign_eliminate : 0.000004s : 0.00% optimize.opt_b.updatestate_loads_eliminate : 0.000004s : 0.00% optimize.opt_b.renormalize : 0.000001s : 0.00% optimize.opt_b.cse : 0.000047s : 0.01% optimize.optimize_parallel_all_gather_comm : 0.000022s : 0.01% optimize.overlap_param_gather : 0.000002s : 0.00% optimize.cconv : 0.000034s : 0.01% optimize.loop_unroll : 0.008701s : 2.12% optimize.opt_after_cconv.c_1 : 0.000051s : 0.01% optimize.opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% optimize.opt_after_cconv.updatestate_depend_eliminate : 0.000017s : 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 : 0.000075s : 0.02% optimize.opt_after_cconv.renormalize : 0.000001s : 0.00% optimize.remove_dup_value : 0.000079s : 0.02% optimize.tuple_transform.d_1 : 0.000071s : 0.02% optimize.tuple_transform.none_parameter_eliminate : 0.000002s : 0.00% optimize.tuple_transform.renormalize : 0.000000s : 0.00% optimize.tuple_transform.switch_simplify : 0.000010s : 0.00% optimize.partial_unused_args_eliminate : 0.000002s : 0.00% optimize.add_recomputation : 0.000083s : 0.02% optimize.cse_after_recomputation.cse : 0.000021s : 0.01% optimize.environ_conv : 0.000019s : 0.00% optimize.swap_dp_allreduce_reducescatter : 0.000008s : 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 : 0.000001s : 0.00% optimize.slice_recompute_activation : 0.000002s : 0.00% optimize.micro_interleaved_order_control : 0.000003s : 0.00% optimize.assign_add_opt : 0.000001s : 0.00% optimize.ForceFp32Comm : 0.000001s : 0.00% optimize.remove_cast_before_assign_add : 0.000001s : 0.00% optimize.full_micro_interleaved_order_control : 0.000003s : 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 : 0.000024s : 0.01% optimize.overlap_opt_shard_grad_in_pipeline : 0.000002s : 0.00% optimize.control_data_broadcast_order : 0.000021s : 0.01% optimize.grouped_pairwise_exchange_alltoall : 0.000002s : 0.00% optimize.offloading_packed_experts : 0.000005s : 0.00% optimize.overlap_recompute_and_grad_model_parallel : 0.000007s : 0.00% optimize.overlap_grad_matmul_and_grad_allreduce : 0.000001s : 0.00% optimize.overlap_recompute_allgather_and_fa_grad : 0.000001s : 0.00% optimize.overlap_recompute_comm : 0.000003s : 0.00% optimize.overlap_grad_ring_attention : 0.000005s : 0.00% optimize.overlap_grad_flash_sp : 0.000053s : 0.01% optimize.begin_end_overlap_inline : 0.000001s : 0.00% optimize.split_matmul_comm_elemetwise : 0.000002s : 0.00% optimize.split_layernorm_comm : 0.000002s : 0.00% optimize.handle_group_info : 0.000001s : 0.00% optimize.symbol_engine_optimizer.build : 0.000005s : 0.00% optimize.symbol_engine_optimizer.elim_shapecalc : 0.000014s : 0.00% optimize.symbol_engine_optimizer.elim_not_effective : 0.000020s : 0.00% optimize.symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% optimize.symbol_engine_optimizer.fold_const_symbol : 0.000016s : 0.00% optimize.symbol_engine_optimizer.renormalize : 0.000000s : 0.00% detach_backward : 0.000002s : 0.00% pipeline_parallel_scheduler : 0.000002s : 0.00% auto_monad_reorder : 0.000028s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000735s : 0.18% validate : 0.000065s : 0.02% Time group info: ------[substitution.] 0.009715 195 2.84% : 0.000276s : 18: substitution.arithmetic_simplify 0.26% : 0.000025s : 18: substitution.depend_value_elim 0.03% : 0.000003s : 5: substitution.elim_not_effective 0.02% : 0.000002s : 5: substitution.fold_const_symbol 0.09% : 0.000008s : 6: substitution.graph_param_transform 11.82% : 0.001148s : 41: substitution.inline 0.15% : 0.000014s : 27: substitution.j_node_and_user_rematch 0.54% : 0.000052s : 6: substitution.less_batch_normalization 0.12% : 0.000011s : 12: substitution.redundant_stop_gradient_eliminater 0.21% : 0.000020s : 27: substitution.remove_not_recompute_node 83.29% : 0.008091s : 6: substitution.replace_applicator 0.09% : 0.000009s : 3: substitution.replace_old_param 0.10% : 0.000010s : 6: substitution.set_cell_output_no_recompute 0.21% : 0.000020s : 6: substitution.specialize_transform 0.24% : 0.000023s : 9: substitution.switch_simplify ------[type_inference.] 0.350540 2 93.93% : 0.329250s : 1: type_inference.infer 6.07% : 0.021289s : 1: type_inference.specialize ------[replace.] 0.000519 44 8.89% : 0.000046s : 6: replace.depend_value_elim 67.01% : 0.000348s : 29: replace.inline 24.10% : 0.000125s : 9: replace.switch_simplify ------[match.] 0.001124 44 0.50% : 0.000006s : 6: match.depend_value_elim 97.87% : 0.001100s : 29: match.inline 1.63% : 0.000018s : 9: match.switch_simplify ------[predicate.] 0.001005 6020 1.20% : 0.000012s : 76: predicate.accumulaten_eliminater 0.24% : 0.000002s : 6: predicate.ad_related_special_op_eliminate 1.02% : 0.000010s : 78: predicate.addn_check_dump 1.26% : 0.000013s : 76: predicate.addn_zero_filter 1.12% : 0.000011s : 76: predicate.adjust_all_reduce_mul_add 3.26% : 0.000033s : 136: predicate.arithmetic_simplify 1.19% : 0.000012s : 76: predicate.cast_eliminate 0.36% : 0.000004s : 24: predicate.check_bprop_eliminate 1.03% : 0.000010s : 78: predicate.compare_switch_simplify 0.05% : 0.000001s : 6: predicate.const_output_eliminate 1.06% : 0.000011s : 65: predicate.depend_value_elim 1.19% : 0.000012s : 76: predicate.dict_get_item_const_eliminator 1.31% : 0.000013s : 76: predicate.dict_get_item_eliminator 1.14% : 0.000011s : 76: predicate.dict_set_item_eliminator 0.27% : 0.000003s : 12: predicate.dumpgradient_eliminate 0.08% : 0.000001s : 6: predicate.elim_not_effective 0.13% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.24% : 0.000012s : 82: predicate.environ_add_const_eliminate 1.19% : 0.000012s : 82: predicate.environ_get_add_eliminate 1.17% : 0.000012s : 82: predicate.environ_get_depend_swap 2.06% : 0.000021s : 142: predicate.environ_get_eliminate 1.19% : 0.000012s : 82: predicate.environ_get_set_eliminate 1.45% : 0.000015s : 99: predicate.exchange_switch_depend_value 2.19% : 0.000022s : 99: predicate.float_depend_g_call 1.05% : 0.000011s : 78: predicate.float_environ_get_switch 1.11% : 0.000011s : 84: predicate.float_tuple_getitem_switch 0.05% : 0.000001s : 6: predicate.fold_const_symbol 0.50% : 0.000005s : 30: predicate.get_grad_eliminate 0.08% : 0.000001s : 6: predicate.graph_param_transform 0.88% : 0.000009s : 60: predicate.incorporate_call 0.79% : 0.000008s : 60: predicate.incorporate_call_switch 6.84% : 0.000069s : 289: predicate.inline 0.65% : 0.000007s : 30: predicate.inline_without_move 0.21% : 0.000002s : 30: predicate.j_node_and_user_rematch 0.69% : 0.000007s : 30: predicate.less_batch_normalization 1.59% : 0.000016s : 88: predicate.list_to_tuple_eliminator_ 2.29% : 0.000023s : 164: predicate.load_eliminater 0.75% : 0.000008s : 6: predicate.loop_unroll_after_grad 1.95% : 0.000020s : 138: predicate.loop_unroll_before_grad 1.37% : 0.000014s : 88: predicate.make_slice_get_slice_eliminator 1.11% : 0.000011s : 78: predicate.merge_addn 0.33% : 0.000003s : 24: predicate.micro_step_allgather_replace 0.34% : 0.000003s : 24: predicate.mini_step_allgather_replace 1.07% : 0.000011s : 76: predicate.minmaximum_grad 0.34% : 0.000003s : 6: predicate.mutable_eliminate 0.12% : 0.000001s : 6: predicate.opt_reshape 0.12% : 0.000001s : 6: predicate.parallel_virtual_node 3.15% : 0.000032s : 99: predicate.partial_defer_inline 1.32% : 0.000013s : 82: predicate.partial_eliminate 1.19% : 0.000012s : 76: predicate.print_const_string_wrapper 0.75% : 0.000008s : 54: predicate.reduce_all_const_elim 1.46% : 0.000015s : 76: predicate.reduce_eliminate 2.44% : 0.000024s : 164: predicate.redundant_stop_gradient_eliminater 0.29% : 0.000003s : 30: predicate.remove_not_recompute_node 1.20% : 0.000012s : 100: predicate.replace_applicator 0.31% : 0.000003s : 30: predicate.replace_old_param 0.07% : 0.000001s : 6: predicate.reset_defer_inline 1.25% : 0.000013s : 76: predicate.reshape_eliminate 0.41% : 0.000004s : 24: predicate.row_tensor_add_zeros_like 0.09% : 0.000001s : 6: predicate.row_tensor_eliminate 0.52% : 0.000005s : 24: predicate.same_eliminate 0.54% : 0.000005s : 54: predicate.set_cell_output_no_recompute 0.57% : 0.000006s : 30: predicate.shard_identity_eliminate 0.26% : 0.000003s : 12: predicate.special_op_eliminate 1.35% : 0.000014s : 78: predicate.specialize_transform 0.57% : 0.000006s : 24: predicate.split_environ_get_set_with_tuple_value 0.57% : 0.000006s : 30: predicate.stack_unstack_eliminate 0.13% : 0.000001s : 6: predicate.switch_call_monad_eliminater 1.64% : 0.000017s : 99: predicate.switch_defer_inline 1.99% : 0.000020s : 123: predicate.switch_layer_defer_inline 5.49% : 0.000055s : 339: predicate.switch_simplify 1.11% : 0.000011s : 76: predicate.tile_eliminate 1.13% : 0.000011s : 76: predicate.transpose_eliminate 1.46% : 0.000015s : 88: predicate.tuple_list_convert_item_index_to_positive 1.50% : 0.000015s : 88: predicate.tuple_list_get_item_const_eliminator 1.37% : 0.000014s : 88: predicate.tuple_list_get_item_depend_reorder 2.74% : 0.000028s : 148: predicate.tuple_list_get_item_eliminator 1.54% : 0.000015s : 88: predicate.tuple_list_get_set_item_eliminator 2.50% : 0.000025s : 148: predicate.tuple_list_set_item_eliminator 1.45% : 0.000015s : 88: predicate.tuple_to_list_eliminator_ 2.25% : 0.000023s : 164: predicate.updatestate_pure_node_eliminater 3.40% : 0.000034s : 224: predicate.updatestate_useless_node_eliminater 0.11% : 0.000001s : 6: predicate.value_based_eliminate 0.47% : 0.000005s : 30: predicate.virtual_dataset_eliminate 0.58% : 0.000006s : 30: predicate.virtual_output_eliminate 0.09% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.11% : 0.000001s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.028751 57 64.70% : 0.018602s : 24: func_graph_cloner_run.FuncGraphClonerGraph 0.23% : 0.000065s : 1: func_graph_cloner_run.FuncGraphClonerNode 35.07% : 0.010083s : 32: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.564310 267 0.00% : 0.000004s : 1: ForceFp32Comm 4.43% : 0.024972s : 1: add_attr 4.42% : 0.024955s : 1: add_attr_with_inline 0.00% : 0.000004s : 1: add_comm_op_reuse_tag 0.02% : 0.000087s : 1: add_recomputation 0.00% : 0.000004s : 1: assign_add_opt 0.05% : 0.000296s : 1: auto_monad 0.01% : 0.000033s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: begin_end_overlap_inline 0.00% : 0.000006s : 1: bias_add_comm_swap 0.12% : 0.000660s : 1: bootstrap 0.01% : 0.000038s : 1: cconv 0.00% : 0.000004s : 1: comm_op_add_attrs 0.00% : 0.000024s : 1: control_data_broadcast_order 0.00% : 0.000014s : 1: convert_after_rewriter 0.01% : 0.000034s : 1: cse_after_recomputation 0.00% : 0.000005s : 1: dataset_repeat_opt 0.00% : 0.000005s : 1: detach_backward 0.00% : 0.000023s : 1: environ_conv 0.02% : 0.000101s : 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% : 0.000007s : 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% : 0.000010s : 1: label_micro_interleaved_index 1.55% : 0.008723s : 1: loop_unroll 0.00% : 0.000004s : 1: merge_cast_opt 0.00% : 0.000005s : 1: micro_interleaved_order_control 0.13% : 0.000736s : 1: mutable_eliminate 0.00% : 0.000008s : 1: offloading_packed_experts 0.01% : 0.000043s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000020s : 1: opt.transform.mutable_eliminate 4.12% : 0.023271s : 151: opt.transform.opt_a 0.01% : 0.000050s : 1: opt.transform.opt_after_cconv 0.01% : 0.000036s : 1: opt.transform.opt_after_jit_grad 0.03% : 0.000166s : 28: opt.transform.opt_b 0.01% : 0.000079s : 2: opt.transform.opt_trans_graph 0.01% : 0.000056s : 4: opt.transform.symbol_engine_opt 8.35% : 0.047095s : 1: opt_a 0.04% : 0.000217s : 1: opt_after_cconv 0.13% : 0.000747s : 1: opt_after_jit_grad 0.05% : 0.000307s : 1: opt_b 10.36% : 0.058482s : 1: optimize 0.00% : 0.000027s : 1: optimize_parallel_all_gather_comm 0.00% : 0.000010s : 1: order_py_execute_after_rewriter 0.01% : 0.000057s : 1: overlap_grad_flash_sp 0.00% : 0.000004s : 1: overlap_grad_matmul_and_grad_allreduce 0.00% : 0.000009s : 1: overlap_grad_ring_attention 0.00% : 0.000005s : 1: overlap_opt_shard_grad_in_pipeline 0.00% : 0.000027s : 1: overlap_opt_shard_in_pipeline 0.00% : 0.000005s : 1: overlap_param_gather 0.00% : 0.000004s : 1: overlap_recompute_allgather_and_fa_grad 0.00% : 0.000010s : 1: overlap_recompute_and_grad_model_parallel 0.00% : 0.000006s : 1: overlap_recompute_comm 0.00% : 0.000007s : 1: parallel-infer-symbol 0.00% : 0.000004s : 1: parallel-infer-symbol-second 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pipeline_parallel_scheduler 0.00% : 0.000005s : 1: pipeline_split 0.02% : 0.000131s : 1: pre_auto_parallel 0.02% : 0.000086s : 1: py_interpret_to_execute 0.00% : 0.000023s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000005s : 1: remove_cast_before_assign_add 0.02% : 0.000085s : 1: remove_dup_value 1.87% : 0.010545s : 2: renormalize.infer 1.85% : 0.010418s : 2: renormalize.specialize 0.00% : 0.000006s : 1: reorder_send_recv_between_fp_bp 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000086s : 1: rewriter_after_opt_a 0.06% : 0.000330s : 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% : 0.000004s : 1: split_layernorm_comm 0.00% : 0.000005s : 1: split_matmul_comm_elemetwise 0.00% : 0.000011s : 1: swap_dp_allreduce_reducescatter 0.02% : 0.000103s : 1: symbol_engine_optimizer 0.02% : 0.000112s : 1: tuple_transform 62.16% : 0.350750s : 1: type_inference TotalTime = 0.874162, [30] [bootstrap]: 0.00057498 [type_inference]: 0.466159 [event_method]: 8.368e-05 [auto_monad]: 0.00029633 [graph_reusing]: 2.071e-05 [pre_auto_parallel]: 6.22001e-06 [py_interpret_to_execute]: 0.00011086 [rewriter_before_opt_a]: 0.00039456 [expand_dump_flag]: 8.75001e-06 [jit_opt_a]: 0.402717, [2] [Cycle 1]: 0.377497, [27] [switch_simplify]: 0.00046627 [loop_unroll]: 0.00015136 [a_1]: 0.0214948 [with_stream_mark]: 0.00034962 [recompute_prepare]: 8.498e-05 [updatestate_depend_eliminate]: 9.478e-05 [updatestate_assign_eliminate]: 2.536e-05 [updatestate_loads_eliminate]: 2.607e-05 [parameter_eliminate]: 8.35001e-06 [specialize_transform]: 8.931e-05 [updatestate_useless_node_eliminater]: 4.334e-05 [accelerated_algorithm]: 0.00010531 [meta_shard_fg_expand]: 2.367e-05 [get_grad_eliminate_]: 5.23e-05 [merge_forward]: 3.509e-05 [cell_reuse_recompute_pass]: 1.31998e-06 [cell_reuse_handle_not_recompute_node_pass]: 8.746e-05 [j_node_and_user_rematch]: 7.898e-05 [meta_fg_expand]: 0.133254, [1] [partial_eliminate_before_grad]: 0.00037034, [1] [Cycle 1]: 0.00035802, [1] [partial_eliminate_]: 0.00032467 [replace_old_param]: 0.00057191 [inline_without_move]: 0.00061116 [renormalize]: 0.21191 [add_forward_monad_depend]: 1.398e-05 [auto_monad_grad]: 2.73e-06 [auto_monad_eliminator]: 1.574e-05 [cse]: 2.955e-05 [replace_applicator]: 0.00738946 [Cycle 2]: 0.00506812, [27] [switch_simplify]: 1.902e-05 [loop_unroll]: 6.17999e-06 [a_1]: 6.26e-05 [with_stream_mark]: 3.229e-05 [recompute_prepare]: 4.37e-06 [updatestate_depend_eliminate]: 4.22e-06 [updatestate_assign_eliminate]: 2.59999e-06 [updatestate_loads_eliminate]: 2.27001e-06 [parameter_eliminate]: 2.29999e-06 [specialize_transform]: 4.09002e-06 [updatestate_useless_node_eliminater]: 3.75e-06 [accelerated_algorithm]: 5.51e-06 [meta_shard_fg_expand]: 2.72001e-06 [get_grad_eliminate_]: 4.16001e-06 [merge_forward]: 3.9e-06 [cell_reuse_recompute_pass]: 2.79001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.322e-05 [j_node_and_user_rematch]: 7.95998e-06 [meta_fg_expand]: 0.00035227 [replace_old_param]: 8.15e-06 [inline_without_move]: 0.00420775 [renormalize]: 2.70025e-07 [add_forward_monad_depend]: 1.158e-05 [auto_monad_grad]: 3.40998e-06 [auto_monad_eliminator]: 2.734e-05 [cse]: 4.136e-05 [replace_applicator]: 1.296e-05 [py_interpret_to_execute_after_opt_a]: 2.322e-05 [rewriter_after_opt_a]: 4.844e-05 [convert_after_rewriter]: 6.09001e-06 [order_py_execute_after_rewriter]: 4.75999e-06 [mutable_eliminate]: 0.00077654 [jit_opt_b]: 5.582e-05, [1] [Cycle 1]: 4.56e-05, [2] [frontend_op_eliminate]: 1.477e-05 [inline_after_opt_a]: 1.877e-05 [cconv]: 3.671e-05 [loop_unroll]: 0.00051396 [jit_opt_after_cconv]: 0.00015318, [1] [Cycle 1]: 0.00014669, [11] [c_1]: 1.617e-05 [parameter_eliminate]: 4.92e-06 [updatestate_depend_eliminate]: 8.18999e-06 [updatestate_assign_eliminate]: 3.13998e-06 [updatestate_loads_eliminate]: 2.56e-06 [cse]: 2.671e-05 [call_graph_tuple_transform]: 1.957e-05 [tuple_list_get_item_eliminator]: 4.33001e-06 [none_parameter_eliminate]: 1.86e-06 [renormalize]: 7.20029e-07 [switch_simplify]: 4.87e-06 [remove_dup_value]: 1.8e-05 [partial_unused_args_eliminate]: 2.07001e-06 [environ_conv]: 5.35999e-06 [add_recomputation]: 4.229e-05 [cse_after_recomputation]: 2.204e-05, [1] [Cycle 1]: 1.533e-05, [1] [cse]: 9.00999e-06 [auto_monad_reorder]: 1.373e-05 [get_jit_bprop_graph]: 2.18998e-06 [rewriter_after_jit_bprop_graph]: 0.00083506 [opt_after_jit_grad]: 0.00061675 [symbol_engine_optimizer]: 7.28e-05, [1] [Cycle 1]: 6.574e-05, [6] [build]: 5.31002e-06 [elim_shapecalc]: 7.23e-06 [elim_not_effective]: 1.299e-05 [opt_reshape]: 4.35e-06 [fold_const_symbol]: 7.06001e-06 [renormalize]: 5.69999e-07 [validate]: 4.028e-05 Sums bootstrap : 0.000575s : 0.08% type_inference : 0.466159s : 64.77% event_method : 0.000084s : 0.01% auto_monad : 0.000296s : 0.04% graph_reusing : 0.000021s : 0.00% pre_auto_parallel : 0.000006s : 0.00% py_interpret_to_execute : 0.000111s : 0.02% rewriter_before_opt_a : 0.000395s : 0.05% expand_dump_flag : 0.000009s : 0.00% jit_opt_a.switch_simplify : 0.000485s : 0.07% jit_opt_a.loop_unroll : 0.000158s : 0.02% jit_opt_a.a_1 : 0.021557s : 3.00% jit_opt_a.with_stream_mark : 0.000382s : 0.05% jit_opt_a.recompute_prepare : 0.000089s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000099s : 0.01% jit_opt_a.updatestate_assign_eliminate : 0.000028s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000028s : 0.00% jit_opt_a.parameter_eliminate : 0.000011s : 0.00% jit_opt_a.specialize_transform : 0.000093s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000047s : 0.01% jit_opt_a.accelerated_algorithm : 0.000111s : 0.02% jit_opt_a.meta_shard_fg_expand : 0.000026s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000056s : 0.01% jit_opt_a.merge_forward : 0.000039s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000111s : 0.02% jit_opt_a.j_node_and_user_rematch : 0.000087s : 0.01% jit_opt_a.meta_fg_expand : 0.000352s : 0.05% jit_opt_a.meta_fg_expand.partial_eliminate_before_grad.partial_eliminate_ : 0.000325s : 0.05% jit_opt_a.replace_old_param : 0.000580s : 0.08% jit_opt_a.inline_without_move : 0.004819s : 0.67% jit_opt_a.renormalize : 0.211910s : 29.44% jit_opt_a.add_forward_monad_depend : 0.000026s : 0.00% jit_opt_a.auto_monad_grad : 0.000006s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000043s : 0.01% jit_opt_a.cse : 0.000071s : 0.01% jit_opt_a.replace_applicator : 0.007402s : 1.03% py_interpret_to_execute_after_opt_a : 0.000023s : 0.00% rewriter_after_opt_a : 0.000048s : 0.01% convert_after_rewriter : 0.000006s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000777s : 0.11% jit_opt_b.frontend_op_eliminate : 0.000015s : 0.00% jit_opt_b.inline_after_opt_a : 0.000019s : 0.00% cconv : 0.000037s : 0.01% loop_unroll : 0.000514s : 0.07% jit_opt_after_cconv.c_1 : 0.000016s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000027s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000020s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000004s : 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 : 0.000005s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000005s : 0.00% add_recomputation : 0.000042s : 0.01% cse_after_recomputation.cse : 0.000009s : 0.00% auto_monad_reorder : 0.000014s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000835s : 0.12% opt_after_jit_grad : 0.000617s : 0.09% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000007s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000013s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000004s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000007s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000040s : 0.01% Time group info: ------[substitution.] 0.002794 262 4.84% : 0.000135s : 4: substitution.arithmetic_simplify 1.25% : 0.000035s : 16: substitution.depend_value_elim 0.08% : 0.000002s : 1: substitution.elim_not_effective 0.06% : 0.000002s : 1: substitution.fold_const_symbol 30.26% : 0.000845s : 4: substitution.getattr_setattr_resolve 0.20% : 0.000006s : 1: substitution.graph_param_transform 43.78% : 0.001223s : 34: substitution.inline 8.05% : 0.000225s : 23: substitution.inline_without_move 0.64% : 0.000018s : 36: substitution.j_node_and_user_rematch 1.75% : 0.000049s : 2: substitution.less_batch_normalization 0.17% : 0.000005s : 2: substitution.minmaximum_grad 1.81% : 0.000051s : 9: substitution.partial_eliminate 0.29% : 0.000008s : 6: substitution.redundant_stop_gradient_eliminater 0.79% : 0.000022s : 36: substitution.remove_not_recompute_node 0.93% : 0.000026s : 8: substitution.replace_applicator 1.17% : 0.000033s : 49: substitution.replace_old_param 0.39% : 0.000011s : 7: substitution.set_cell_output_no_recompute 0.82% : 0.000023s : 6: substitution.specialize_transform 1.13% : 0.000032s : 9: substitution.switch_simplify 0.29% : 0.000008s : 2: substitution.tuple_list_convert_item_index_to_positive 0.20% : 0.000006s : 2: substitution.tuple_list_get_item_depend_reorder 1.08% : 0.000030s : 4: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.465866 2 94.92% : 0.442187s : 1: type_inference.infer 5.08% : 0.023679s : 1: type_inference.specialize ------[replace.] 0.000737 48 9.15% : 0.000067s : 3: replace.getattr_setattr_resolve 49.34% : 0.000363s : 28: replace.inline 11.20% : 0.000082s : 6: replace.partial_eliminate 21.49% : 0.000158s : 9: replace.switch_simplify 8.83% : 0.000065s : 2: replace.tuple_list_get_item_eliminator ------[match.] 0.002047 48 38.65% : 0.000791s : 3: match.getattr_setattr_resolve 57.12% : 0.001170s : 28: match.inline 1.94% : 0.000040s : 6: match.partial_eliminate 1.30% : 0.000027s : 9: match.switch_simplify 0.98% : 0.000020s : 2: match.tuple_list_get_item_eliminator ------[predicate.] 0.000844 4898 1.19% : 0.000010s : 72: predicate.accumulaten_eliminater 0.18% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.07% : 0.000009s : 72: predicate.addn_check_dump 1.26% : 0.000011s : 72: predicate.addn_zero_filter 2.21% : 0.000019s : 72: predicate.arithmetic_simplify 1.41% : 0.000012s : 72: predicate.cast_eliminate 0.06% : 0.000001s : 1: predicate.check_bprop_eliminate 1.10% : 0.000009s : 72: predicate.compare_switch_simplify 1.52% : 0.000013s : 72: predicate.depend_value_elim 1.23% : 0.000010s : 72: predicate.dict_get_item_const_eliminator 1.22% : 0.000010s : 72: predicate.dict_get_item_eliminator 1.32% : 0.000011s : 72: predicate.dict_set_item_eliminator 0.13% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.05% : 0.000000s : 1: predicate.elim_not_effective 0.07% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 0.73% : 0.000006s : 48: predicate.eliminate_switch_conditional_partial_ 0.72% : 0.000006s : 48: predicate.eliminate_switch_layer_partial_ 0.73% : 0.000006s : 48: predicate.eliminate_switch_partial_ 1.43% : 0.000012s : 72: predicate.environ_add_const_eliminate 1.23% : 0.000010s : 72: predicate.environ_get_add_eliminate 2.07% : 0.000017s : 72: predicate.environ_get_depend_swap 1.32% : 0.000011s : 72: predicate.environ_get_eliminate 1.31% : 0.000011s : 72: predicate.environ_get_set_eliminate 0.01% : 0.000000s : 1: predicate.fold_const_symbol 0.98% : 0.000008s : 45: predicate.get_grad_eliminate 0.82% : 0.000007s : 20: predicate.getattr_setattr_resolve 0.02% : 0.000000s : 1: predicate.graph_param_transform 4.22% : 0.000036s : 104: predicate.inline 8.67% : 0.000073s : 349: predicate.inline_without_move 0.37% : 0.000003s : 45: predicate.j_node_and_user_rematch 1.02% : 0.000009s : 45: predicate.less_batch_normalization 1.36% : 0.000011s : 74: predicate.list_to_tuple_eliminator_ 1.39% : 0.000012s : 75: predicate.load_eliminater 0.21% : 0.000002s : 1: predicate.loop_unroll_after_grad 3.44% : 0.000029s : 157: predicate.loop_unroll_before_grad 1.40% : 0.000012s : 73: predicate.make_slice_get_slice_eliminator 1.12% : 0.000009s : 72: predicate.merge_addn 1.17% : 0.000010s : 72: predicate.minmaximum_grad 0.26% : 0.000002s : 1: predicate.mutable_eliminate 0.05% : 0.000000s : 1: predicate.opt_reshape 3.05% : 0.000026s : 129: predicate.partial_eliminate 1.18% : 0.000010s : 72: predicate.print_const_string_wrapper 1.78% : 0.000015s : 72: predicate.reduce_eliminate 1.32% : 0.000011s : 74: predicate.redundant_stop_gradient_eliminater 0.47% : 0.000004s : 45: predicate.remove_not_recompute_node 1.25% : 0.000011s : 76: predicate.replace_applicator 3.15% : 0.000027s : 349: predicate.replace_old_param 0.03% : 0.000000s : 1: predicate.reset_defer_inline 1.22% : 0.000010s : 72: predicate.reshape_eliminate 1.19% : 0.000010s : 72: predicate.row_tensor_add_zeros_like 0.14% : 0.000001s : 1: predicate.row_tensor_eliminate 1.25% : 0.000011s : 72: predicate.same_eliminate 0.48% : 0.000004s : 45: predicate.set_cell_output_no_recompute 0.15% : 0.000001s : 2: predicate.special_op_eliminate 0.88% : 0.000007s : 45: predicate.specialize_transform 1.53% : 0.000013s : 72: predicate.split_environ_get_set_with_tuple_value 1.22% : 0.000010s : 72: predicate.stack_unstack_eliminate 0.03% : 0.000000s : 1: predicate.switch_call_monad_eliminater 4.97% : 0.000042s : 102: predicate.switch_defer_inline 2.04% : 0.000017s : 102: predicate.switch_layer_defer_inline 6.54% : 0.000055s : 278: predicate.switch_simplify 1.28% : 0.000011s : 72: predicate.tile_eliminate 1.14% : 0.000010s : 72: predicate.transpose_eliminate 1.56% : 0.000013s : 72: predicate.tuple_list_convert_item_index_to_positive 1.33% : 0.000011s : 72: predicate.tuple_list_get_item_depend_reorder 2.45% : 0.000021s : 76: predicate.tuple_list_get_item_eliminator 1.53% : 0.000013s : 72: predicate.tuple_list_set_item_eliminator 1.23% : 0.000010s : 74: predicate.tuple_to_list_eliminator_ 1.30% : 0.000011s : 75: predicate.updatestate_pure_node_eliminater 2.53% : 0.000021s : 120: predicate.updatestate_useless_node_eliminater 1.62% : 0.000014s : 72: 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.] 0.045557 127 96.11% : 0.043784s : 89: func_graph_cloner_run.FuncGraphClonerGraph 0.15% : 0.000068s : 1: func_graph_cloner_run.FuncGraphClonerNode 3.74% : 0.001706s : 37: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.122653 75 0.00% : 0.000046s : 1: add_recomputation 0.03% : 0.000304s : 1: auto_monad 0.00% : 0.000016s : 1: auto_monad_reorder 0.05% : 0.000611s : 1: bootstrap 0.00% : 0.000040s : 1: cconv 0.00% : 0.000008s : 1: convert_after_rewriter 0.00% : 0.000024s : 1: cse_after_recomputation 0.00% : 0.000007s : 1: environ_conv 0.01% : 0.000090s : 1: event_method 0.00% : 0.000012s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000024s : 1: graph_reusing 35.87% : 0.402723s : 1: jit_opt_a 0.01% : 0.000156s : 1: jit_opt_after_cconv 0.01% : 0.000059s : 1: jit_opt_b 0.05% : 0.000523s : 1: loop_unroll 0.07% : 0.000787s : 1: mutable_eliminate 3.16% : 0.035528s : 26: opt.transform.jit_opt_a 0.00% : 0.000041s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000024s : 4: opt.transform.jit_opt_b 0.00% : 0.000011s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000014s : 1: opt.transform.mutable_eliminate 0.00% : 0.000023s : 1: opt.transform.opt_after_jit_grad 0.09% : 0.000978s : 2: opt.transform.opt_resolve 0.03% : 0.000321s : 1: opt.transform.partial_eliminate 0.00% : 0.000028s : 4: opt.transform.symbol_engine_opt 0.06% : 0.000627s : 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 0.01% : 0.000115s : 1: py_interpret_to_execute 0.00% : 0.000026s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 18.77% : 0.210683s : 1: renormalize.infer 0.11% : 0.001207s : 1: renormalize.specialize 0.08% : 0.000843s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000052s : 1: rewriter_after_opt_a 0.04% : 0.000403s : 1: rewriter_before_opt_a 0.01% : 0.000076s : 1: symbol_engine_optimizer 41.52% : 0.466180s : 1: type_inference . [hook] pytest_runtest_teardown:test_stream_with_continue_statement tests/st/compiler/stream_event/test_with_stream.py::test_stream_with_continue_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 80.41s (0:01:20) ===================