==================================================Ascend ============================= test session starts ============================== platform linux -- Python 3.9.19, pytest-6.2.5, py-1.11.0, pluggy-1.5.0 rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st/mint, configfile: ../../../../../../sault/virtual_test/virtualenv_004/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 2 items test_permute.py . [hook] pytest_runtest_teardown:test_permute_reverse_dims[pynative] tests/st/mint/test_permute.py::test_permute_reverse_dims[pynative],max_mem:2.0M TotalTime = 2.19218, [30] [bootstrap]: 0.00086159 [type_inference]: 2.04666 [event_method]: 2.203e-05 [auto_monad]: 0.00032673 [graph_reusing]: 7.5e-06 [pre_auto_parallel]: 1.311e-05 [py_interpret_to_execute]: 0.00059124 [rewriter_before_opt_a]: 0.00011331 [expand_dump_flag]: 3.49001e-06 [jit_opt_a]: 0.139761, [2] [Cycle 1]: 0.130514, [27] [switch_simplify]: 6.846e-05 [loop_unroll]: 2.601e-05 [a_1]: 0.00052871 [with_stream_mark]: 3.028e-05 [recompute_prepare]: 1.154e-05 [updatestate_depend_eliminate]: 6.68e-06 [updatestate_assign_eliminate]: 8.82e-06 [updatestate_loads_eliminate]: 5.19998e-06 [parameter_eliminate]: 2.39001e-06 [specialize_transform]: 1.048e-05 [updatestate_useless_node_eliminater]: 1.246e-05 [accelerated_algorithm]: 9.57999e-06 [meta_shard_fg_expand]: 2.79999e-06 [get_grad_eliminate_]: 8.93002e-06 [merge_forward]: 5.40999e-06 [cell_reuse_recompute_pass]: 1.62999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.619e-05 [j_node_and_user_rematch]: 1.504e-05 [meta_fg_expand]: 3.63e-06 [replace_old_param]: 1.563e-05 [inline_without_move]: 9.24e-06 [renormalize]: 0.129348 [add_forward_monad_depend]: 1.434e-05 [auto_monad_grad]: 2.94999e-06 [auto_monad_eliminator]: 2.439e-05 [cse]: 4.975e-05 [replace_applicator]: 2.275e-05 [Cycle 2]: 0.00056306, [27] [switch_simplify]: 1.182e-05 [loop_unroll]: 9.49e-06 [a_1]: 0.00022007 [with_stream_mark]: 1.87e-05 [recompute_prepare]: 9.12001e-06 [updatestate_depend_eliminate]: 5.54998e-06 [updatestate_assign_eliminate]: 5.94e-06 [updatestate_loads_eliminate]: 4.3e-06 [parameter_eliminate]: 2.26998e-06 [specialize_transform]: 8.90001e-06 [updatestate_useless_node_eliminater]: 1.109e-05 [accelerated_algorithm]: 8.96002e-06 [meta_shard_fg_expand]: 2.51998e-06 [get_grad_eliminate_]: 8.08999e-06 [merge_forward]: 5.30999e-06 [cell_reuse_recompute_pass]: 3.9e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.996e-05 [j_node_and_user_rematch]: 1.389e-05 [meta_fg_expand]: 2.99001e-06 [replace_old_param]: 1.187e-05 [inline_without_move]: 7.97998e-06 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 1.94999e-06 [auto_monad_grad]: 1.44e-06 [auto_monad_eliminator]: 1.189e-05 [cse]: 1.974e-05 [replace_applicator]: 8.52e-06 [py_interpret_to_execute_after_opt_a]: 1.668e-05 [rewriter_after_opt_a]: 0.00052937 [convert_after_rewriter]: 1.824e-05 [order_py_execute_after_rewriter]: 7.43e-06 [mutable_eliminate]: 0.00080464 [jit_opt_b]: 8.476e-05, [1] [Cycle 1]: 7.579e-05, [2] [frontend_op_eliminate]: 3.109e-05 [inline_after_opt_a]: 2.972e-05 [cconv]: 3.534e-05 [loop_unroll]: 0.00049782 [jit_opt_after_cconv]: 0.00022808, [1] [Cycle 1]: 0.0002199, [11] [c_1]: 5.159e-05 [parameter_eliminate]: 5.22e-06 [updatestate_depend_eliminate]: 9.25001e-06 [updatestate_assign_eliminate]: 4.63001e-06 [updatestate_loads_eliminate]: 4.80001e-06 [cse]: 3.598e-05 [call_graph_tuple_transform]: 2.716e-05 [tuple_list_get_item_eliminator]: 1.059e-05 [none_parameter_eliminate]: 1.53002e-06 [renormalize]: 7.80012e-07 [switch_simplify]: 1.016e-05 [remove_dup_value]: 2.102e-05 [partial_unused_args_eliminate]: 2.46e-06 [environ_conv]: 2.625e-05 [add_recomputation]: 9.146e-05 [cse_after_recomputation]: 3.387e-05, [1] [Cycle 1]: 2.631e-05, [1] [cse]: 1.834e-05 [auto_monad_reorder]: 3.608e-05 [get_jit_bprop_graph]: 2.73998e-06 [rewriter_after_jit_bprop_graph]: 0.00020547 [opt_after_jit_grad]: 0.00058449 [symbol_engine_optimizer]: 0.0001018, [1] [Cycle 1]: 9.449e-05, [6] [build]: 6.66999e-06 [elim_shapecalc]: 1.165e-05 [elim_not_effective]: 2.033e-05 [opt_reshape]: 9.69999e-06 [fold_const_symbol]: 1.454e-05 [renormalize]: 7.59988e-07 [validate]: 8.532e-05 Sums bootstrap : 0.000862s : 0.04% type_inference : 2.046665s : 93.77% event_method : 0.000022s : 0.00% auto_monad : 0.000327s : 0.01% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000013s : 0.00% py_interpret_to_execute : 0.000591s : 0.03% rewriter_before_opt_a : 0.000113s : 0.01% expand_dump_flag : 0.000003s : 0.00% jit_opt_a.switch_simplify : 0.000080s : 0.00% jit_opt_a.loop_unroll : 0.000036s : 0.00% jit_opt_a.a_1 : 0.000749s : 0.03% jit_opt_a.with_stream_mark : 0.000049s : 0.00% jit_opt_a.recompute_prepare : 0.000021s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000012s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000015s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.00% jit_opt_a.parameter_eliminate : 0.000005s : 0.00% jit_opt_a.specialize_transform : 0.000019s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000024s : 0.00% jit_opt_a.accelerated_algorithm : 0.000019s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000017s : 0.00% jit_opt_a.merge_forward : 0.000011s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000046s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000029s : 0.00% jit_opt_a.meta_fg_expand : 0.000007s : 0.00% jit_opt_a.replace_old_param : 0.000028s : 0.00% jit_opt_a.inline_without_move : 0.000017s : 0.00% jit_opt_a.renormalize : 0.129348s : 5.93% 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 : 0.000036s : 0.00% jit_opt_a.cse : 0.000069s : 0.00% jit_opt_a.replace_applicator : 0.000031s : 0.00% py_interpret_to_execute_after_opt_a : 0.000017s : 0.00% rewriter_after_opt_a : 0.000529s : 0.02% convert_after_rewriter : 0.000018s : 0.00% order_py_execute_after_rewriter : 0.000007s : 0.00% mutable_eliminate : 0.000805s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000031s : 0.00% jit_opt_b.inline_after_opt_a : 0.000030s : 0.00% cconv : 0.000035s : 0.00% loop_unroll : 0.000498s : 0.02% jit_opt_after_cconv.c_1 : 0.000052s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.cse : 0.000036s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000027s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000011s : 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 : 0.000010s : 0.00% remove_dup_value : 0.000021s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000026s : 0.00% add_recomputation : 0.000091s : 0.00% cse_after_recomputation.cse : 0.000018s : 0.00% auto_monad_reorder : 0.000036s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000205s : 0.01% opt_after_jit_grad : 0.000584s : 0.03% symbol_engine_optimizer.build : 0.000007s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000012s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000020s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000010s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000015s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000085s : 0.00% Time group info: ------[substitution.] 0.000246 45 4.99% : 0.000012s : 2: substitution.depend_value_elim 1.25% : 0.000003s : 4: substitution.elim_not_effective 0.81% : 0.000002s : 4: substitution.fold_const_symbol 3.29% : 0.000008s : 6: substitution.graph_param_transform 71.90% : 0.000177s : 3: substitution.inline 2.46% : 0.000006s : 8: substitution.j_node_and_user_rematch 3.42% : 0.000008s : 8: substitution.remove_not_recompute_node 2.93% : 0.000007s : 2: substitution.replace_old_param 4.52% : 0.000011s : 3: substitution.updatestate_pure_node_eliminater 4.43% : 0.000011s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 2.046477 2 87.78% : 1.796418s : 1: type_inference.infer 12.22% : 0.250058s : 1: type_inference.specialize ------[replace.] 0.000035 3 100.00% : 0.000035s : 3: replace.inline ------[match.] 0.000174 3 100.00% : 0.000174s : 3: match.inline ------[predicate.] 0.000171 970 1.39% : 0.000002s : 14: predicate.accumulaten_eliminater 1.90% : 0.000003s : 6: predicate.ad_related_special_op_eliminate 1.17% : 0.000002s : 14: predicate.addn_check_dump 1.56% : 0.000003s : 14: predicate.addn_zero_filter 2.09% : 0.000004s : 14: predicate.arithmetic_simplify 1.37% : 0.000002s : 14: predicate.cast_eliminate 0.52% : 0.000001s : 6: predicate.check_bprop_eliminate 1.08% : 0.000002s : 14: predicate.compare_switch_simplify 1.35% : 0.000002s : 14: predicate.depend_value_elim 1.10% : 0.000002s : 14: predicate.dict_get_item_const_eliminator 1.11% : 0.000002s : 14: predicate.dict_get_item_eliminator 1.17% : 0.000002s : 14: predicate.dict_set_item_eliminator 0.97% : 0.000002s : 6: predicate.dumpgradient_eliminate 0.61% : 0.000001s : 6: predicate.elim_not_effective 0.75% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.49% : 0.000003s : 14: predicate.environ_add_const_eliminate 1.14% : 0.000002s : 14: predicate.environ_get_add_eliminate 1.08% : 0.000002s : 14: predicate.environ_get_depend_swap 1.36% : 0.000002s : 14: predicate.environ_get_eliminate 1.06% : 0.000002s : 14: predicate.environ_get_set_eliminate 0.32% : 0.000001s : 6: predicate.fold_const_symbol 1.26% : 0.000002s : 12: predicate.get_grad_eliminate 0.31% : 0.000001s : 6: predicate.graph_param_transform 5.10% : 0.000009s : 29: predicate.inline 1.28% : 0.000002s : 12: predicate.inline_without_move 0.51% : 0.000001s : 12: predicate.j_node_and_user_rematch 1.45% : 0.000002s : 12: predicate.less_batch_normalization 1.33% : 0.000002s : 14: predicate.list_to_tuple_eliminator_ 1.64% : 0.000003s : 20: predicate.load_eliminater 1.41% : 0.000002s : 6: predicate.loop_unroll_after_grad 3.04% : 0.000005s : 30: predicate.loop_unroll_before_grad 2.08% : 0.000004s : 20: predicate.make_slice_get_slice_eliminator 1.11% : 0.000002s : 14: predicate.merge_addn 1.13% : 0.000002s : 14: predicate.minmaximum_grad 1.41% : 0.000002s : 6: predicate.mutable_eliminate 0.69% : 0.000001s : 6: predicate.opt_reshape 1.93% : 0.000003s : 20: predicate.partial_eliminate 1.40% : 0.000002s : 14: predicate.print_const_string_wrapper 1.82% : 0.000003s : 14: predicate.reduce_eliminate 1.26% : 0.000002s : 14: predicate.redundant_stop_gradient_eliminater 0.92% : 0.000002s : 12: predicate.remove_not_recompute_node 1.91% : 0.000003s : 26: predicate.replace_applicator 0.74% : 0.000001s : 12: predicate.replace_old_param 0.79% : 0.000001s : 6: predicate.reset_defer_inline 1.34% : 0.000002s : 14: predicate.reshape_eliminate 1.33% : 0.000002s : 14: predicate.row_tensor_add_zeros_like 0.92% : 0.000002s : 6: predicate.row_tensor_eliminate 1.21% : 0.000002s : 14: predicate.same_eliminate 0.69% : 0.000001s : 12: predicate.set_cell_output_no_recompute 1.32% : 0.000002s : 12: predicate.special_op_eliminate 1.39% : 0.000002s : 12: predicate.specialize_transform 1.61% : 0.000003s : 14: predicate.split_environ_get_set_with_tuple_value 1.24% : 0.000002s : 14: predicate.stack_unstack_eliminate 0.61% : 0.000001s : 6: predicate.switch_call_monad_eliminater 1.73% : 0.000003s : 17: predicate.switch_defer_inline 1.69% : 0.000003s : 17: predicate.switch_layer_defer_inline 5.93% : 0.000010s : 53: predicate.switch_simplify 1.21% : 0.000002s : 14: predicate.tile_eliminate 1.45% : 0.000002s : 14: predicate.transpose_eliminate 1.41% : 0.000002s : 14: predicate.tuple_list_convert_item_index_to_positive 1.41% : 0.000002s : 14: predicate.tuple_list_get_item_depend_reorder 3.43% : 0.000006s : 26: predicate.tuple_list_get_item_eliminator 1.56% : 0.000003s : 14: predicate.tuple_list_set_item_eliminator 1.30% : 0.000002s : 14: predicate.tuple_to_list_eliminator_ 1.76% : 0.000003s : 20: predicate.updatestate_pure_node_eliminater 3.12% : 0.000005s : 32: predicate.updatestate_useless_node_eliminater 1.92% : 0.000003s : 14: predicate.value_based_eliminate 0.51% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.78% : 0.000001s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003031 23 76.03% : 0.002304s : 18: func_graph_cloner_run.FuncGraphClonerGraph 23.97% : 0.000726s : 5: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.322555 72 0.00% : 0.000095s : 1: add_recomputation 0.01% : 0.000334s : 1: auto_monad 0.00% : 0.000039s : 1: auto_monad_reorder 0.04% : 0.000883s : 1: bootstrap 0.00% : 0.000038s : 1: cconv 0.00% : 0.000022s : 1: convert_after_rewriter 0.00% : 0.000037s : 1: cse_after_recomputation 0.00% : 0.000029s : 1: environ_conv 0.00% : 0.000028s : 1: event_method 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000010s : 1: graph_reusing 6.02% : 0.139764s : 1: jit_opt_a 0.01% : 0.000231s : 1: jit_opt_after_cconv 0.00% : 0.000088s : 1: jit_opt_b 0.02% : 0.000506s : 1: loop_unroll 0.04% : 0.000815s : 1: mutable_eliminate 0.05% : 0.001067s : 26: opt.transform.jit_opt_a 0.00% : 0.000095s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000052s : 4: opt.transform.jit_opt_b 0.00% : 0.000017s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000023s : 1: opt.transform.mutable_eliminate 0.00% : 0.000038s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000052s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000597s : 1: opt_after_jit_grad 0.00% : 0.000010s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000018s : 1: pre_auto_parallel 0.03% : 0.000600s : 1: py_interpret_to_execute 0.00% : 0.000019s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000024s : 1: remove_dup_value 5.53% : 0.128429s : 1: renormalize.infer 0.04% : 0.000909s : 1: renormalize.specialize 0.01% : 0.000211s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000537s : 1: rewriter_after_opt_a 0.01% : 0.000120s : 1: rewriter_before_opt_a 0.00% : 0.000105s : 1: symbol_engine_optimizer 88.12% : 2.046695s : 1: type_inference TotalTime = 1.11352, [30] [bootstrap]: 0.00052285 [type_inference]: 0.27492 [event_method]: 0.00042531 [auto_monad]: 0.0109684 [graph_reusing]: 1.892e-05 [pre_auto_parallel]: 5.43002e-06 [py_interpret_to_execute]: 8.986e-05 [rewriter_before_opt_a]: 0.00018651 [expand_dump_flag]: 5.53002e-06 [jit_opt_a]: 0.823068, [4] [Cycle 1]: 0.394856, [27] [switch_simplify]: 0.00024047 [loop_unroll]: 6.653e-05 [a_1]: 0.00151363 [with_stream_mark]: 4.161e-05 [recompute_prepare]: 3.206e-05 [updatestate_depend_eliminate]: 1.52e-05 [updatestate_assign_eliminate]: 1.071e-05 [updatestate_loads_eliminate]: 1.04e-05 [parameter_eliminate]: 2.87002e-06 [specialize_transform]: 2.172e-05 [updatestate_useless_node_eliminater]: 2.575e-05 [accelerated_algorithm]: 2.034e-05 [meta_shard_fg_expand]: 5.46e-06 [get_grad_eliminate_]: 2.055e-05 [merge_forward]: 1.289e-05 [cell_reuse_recompute_pass]: 1.72999e-06 [cell_reuse_handle_not_recompute_node_pass]: 4.083e-05 [j_node_and_user_rematch]: 3.479e-05 [meta_fg_expand]: 0.344744 [replace_old_param]: 0.00012457 [inline_without_move]: 0.00012251 [renormalize]: 0.0466315 [add_forward_monad_depend]: 3.331e-05 [auto_monad_grad]: 1.288e-05 [auto_monad_eliminator]: 0.00012418 [cse]: 0.00029574 [replace_applicator]: 0.00025797 [Cycle 2]: 0.421294, [27] [switch_simplify]: 0.00010213 [loop_unroll]: 9.206e-05 [a_1]: 0.00389493 [with_stream_mark]: 4.098e-05 [recompute_prepare]: 3.149e-05 [updatestate_depend_eliminate]: 1.415e-05 [updatestate_assign_eliminate]: 1.403e-05 [updatestate_loads_eliminate]: 1.2e-05 [parameter_eliminate]: 4.79e-06 [specialize_transform]: 1.978e-05 [updatestate_useless_node_eliminater]: 8.443e-05 [accelerated_algorithm]: 1.521e-05 [meta_shard_fg_expand]: 5.74e-06 [get_grad_eliminate_]: 1.34e-05 [merge_forward]: 8.58001e-06 [cell_reuse_recompute_pass]: 1.41998e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.907e-05 [j_node_and_user_rematch]: 2.264e-05 [meta_fg_expand]: 0.00015771 [replace_old_param]: 2.39e-05 [inline_without_move]: 1.37e-05 [renormalize]: 0.416226 [add_forward_monad_depend]: 1.332e-05 [auto_monad_grad]: 2.61e-06 [auto_monad_eliminator]: 3.644e-05 [cse]: 0.00011091 [replace_applicator]: 3.74e-05 [Cycle 3]: 0.00163933, [27] [switch_simplify]: 1.515e-05 [loop_unroll]: 1.326e-05 [a_1]: 0.0003666 [with_stream_mark]: 2.136e-05 [recompute_prepare]: 1.32e-05 [updatestate_depend_eliminate]: 4.999e-05 [updatestate_assign_eliminate]: 6.33002e-06 [updatestate_loads_eliminate]: 6.43e-06 [parameter_eliminate]: 2.16e-06 [specialize_transform]: 1.231e-05 [updatestate_useless_node_eliminater]: 1.424e-05 [accelerated_algorithm]: 1.129e-05 [meta_shard_fg_expand]: 2.82002e-06 [get_grad_eliminate_]: 1.062e-05 [merge_forward]: 5.94999e-06 [cell_reuse_recompute_pass]: 3.91999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.574e-05 [j_node_and_user_rematch]: 1.744e-05 [meta_fg_expand]: 4.45e-06 [replace_old_param]: 1.548e-05 [inline_without_move]: 1.061e-05 [renormalize]: 0.00076241 [add_forward_monad_depend]: 6.48998e-06 [auto_monad_grad]: 2.21e-06 [auto_monad_eliminator]: 1.818e-05 [cse]: 3.768e-05 [replace_applicator]: 2.003e-05 [Cycle 4]: 0.0006226, [27] [switch_simplify]: 1.303e-05 [loop_unroll]: 1.113e-05 [a_1]: 0.00025939 [with_stream_mark]: 1.405e-05 [recompute_prepare]: 1.028e-05 [updatestate_depend_eliminate]: 5.91e-06 [updatestate_assign_eliminate]: 5.44998e-06 [updatestate_loads_eliminate]: 5.32001e-06 [parameter_eliminate]: 1.10001e-06 [specialize_transform]: 1.026e-05 [updatestate_useless_node_eliminater]: 1.336e-05 [accelerated_algorithm]: 1.059e-05 [meta_shard_fg_expand]: 2.88e-06 [get_grad_eliminate_]: 9.91e-06 [merge_forward]: 5.12e-06 [cell_reuse_recompute_pass]: 1.62001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.196e-05 [j_node_and_user_rematch]: 1.732e-05 [meta_fg_expand]: 3.44001e-06 [replace_old_param]: 1.23e-05 [inline_without_move]: 1.013e-05 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 1.70001e-06 [auto_monad_grad]: 1.10001e-06 [auto_monad_eliminator]: 1.304e-05 [cse]: 2.395e-05 [replace_applicator]: 1.077e-05 [py_interpret_to_execute_after_opt_a]: 1.746e-05 [rewriter_after_opt_a]: 0.00020423 [convert_after_rewriter]: 1.216e-05 [order_py_execute_after_rewriter]: 8.23001e-06 [mutable_eliminate]: 0.00089775 [jit_opt_b]: 9.58e-05, [1] [Cycle 1]: 8.588e-05, [2] [frontend_op_eliminate]: 3.463e-05 [inline_after_opt_a]: 3.58e-05 [cconv]: 3.608e-05 [loop_unroll]: 0.00050081 [jit_opt_after_cconv]: 0.00027755, [1] [Cycle 1]: 0.0002691, [11] [c_1]: 7.03e-05 [parameter_eliminate]: 4.33001e-06 [updatestate_depend_eliminate]: 1.211e-05 [updatestate_assign_eliminate]: 6.06e-06 [updatestate_loads_eliminate]: 5.62999e-06 [cse]: 5.39e-05 [call_graph_tuple_transform]: 3.192e-05 [tuple_list_get_item_eliminator]: 1.152e-05 [none_parameter_eliminate]: 1.72001e-06 [renormalize]: 2.59985e-07 [switch_simplify]: 1.143e-05 [remove_dup_value]: 4.972e-05 [partial_unused_args_eliminate]: 2.99001e-06 [environ_conv]: 1.291e-05 [add_recomputation]: 9.287e-05 [cse_after_recomputation]: 3.608e-05, [1] [Cycle 1]: 2.845e-05, [1] [cse]: 2.024e-05 [auto_monad_reorder]: 3.612e-05 [get_jit_bprop_graph]: 2.30002e-06 [rewriter_after_jit_bprop_graph]: 6.50002e-06 [opt_after_jit_grad]: 0.00054207 [symbol_engine_optimizer]: 0.00011148, [1] [Cycle 1]: 0.00010427, [6] [build]: 7.13e-06 [elim_shapecalc]: 1.408e-05 [elim_not_effective]: 2.238e-05 [opt_reshape]: 1.143e-05 [fold_const_symbol]: 1.661e-05 [renormalize]: 6.50005e-07 [validate]: 6.746e-05 Sums bootstrap : 0.000523s : 0.05% type_inference : 0.274920s : 24.82% event_method : 0.000425s : 0.04% auto_monad : 0.010968s : 0.99% graph_reusing : 0.000019s : 0.00% pre_auto_parallel : 0.000005s : 0.00% py_interpret_to_execute : 0.000090s : 0.01% rewriter_before_opt_a : 0.000187s : 0.02% expand_dump_flag : 0.000006s : 0.00% jit_opt_a.switch_simplify : 0.000371s : 0.03% jit_opt_a.loop_unroll : 0.000183s : 0.02% jit_opt_a.a_1 : 0.006035s : 0.54% jit_opt_a.with_stream_mark : 0.000118s : 0.01% jit_opt_a.recompute_prepare : 0.000087s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000085s : 0.01% jit_opt_a.updatestate_assign_eliminate : 0.000037s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000034s : 0.00% jit_opt_a.parameter_eliminate : 0.000011s : 0.00% jit_opt_a.specialize_transform : 0.000064s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000138s : 0.01% jit_opt_a.accelerated_algorithm : 0.000057s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000017s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000054s : 0.00% jit_opt_a.merge_forward : 0.000033s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000009s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000118s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000092s : 0.01% jit_opt_a.meta_fg_expand : 0.344910s : 31.14% jit_opt_a.replace_old_param : 0.000176s : 0.02% jit_opt_a.inline_without_move : 0.000157s : 0.01% jit_opt_a.renormalize : 0.463620s : 41.86% jit_opt_a.add_forward_monad_depend : 0.000055s : 0.00% jit_opt_a.auto_monad_grad : 0.000019s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000192s : 0.02% jit_opt_a.cse : 0.000468s : 0.04% jit_opt_a.replace_applicator : 0.000326s : 0.03% py_interpret_to_execute_after_opt_a : 0.000017s : 0.00% rewriter_after_opt_a : 0.000204s : 0.02% convert_after_rewriter : 0.000012s : 0.00% order_py_execute_after_rewriter : 0.000008s : 0.00% mutable_eliminate : 0.000898s : 0.08% jit_opt_b.frontend_op_eliminate : 0.000035s : 0.00% jit_opt_b.inline_after_opt_a : 0.000036s : 0.00% cconv : 0.000036s : 0.00% loop_unroll : 0.000501s : 0.05% jit_opt_after_cconv.c_1 : 0.000070s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.cse : 0.000054s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000032s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000012s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000011s : 0.00% remove_dup_value : 0.000050s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000013s : 0.00% add_recomputation : 0.000093s : 0.01% cse_after_recomputation.cse : 0.000020s : 0.00% auto_monad_reorder : 0.000036s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000542s : 0.05% symbol_engine_optimizer.build : 0.000007s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000014s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000022s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000017s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000067s : 0.01% Time group info: ------[substitution.] 0.002682 271 1.55% : 0.000042s : 12: substitution.depend_value_elim 0.12% : 0.000003s : 5: substitution.elim_not_effective 0.09% : 0.000003s : 5: substitution.fold_const_symbol 31.88% : 0.000855s : 4: substitution.getattr_setattr_resolve 0.38% : 0.000010s : 8: substitution.graph_param_transform 47.77% : 0.001281s : 29: substitution.inline 1.40% : 0.000038s : 4: substitution.inline_without_move 0.64% : 0.000017s : 29: substitution.j_node_and_user_rematch 0.89% : 0.000024s : 13: substitution.minmaximum_grad 0.53% : 0.000014s : 14: substitution.partial_eliminate 0.91% : 0.000024s : 29: substitution.remove_not_recompute_node 2.39% : 0.000064s : 16: substitution.replace_applicator 0.72% : 0.000019s : 17: substitution.replace_old_param 0.26% : 0.000007s : 2: substitution.set_cell_output_no_recompute 0.59% : 0.000016s : 3: substitution.switch_simplify 1.69% : 0.000045s : 13: substitution.tuple_list_convert_item_index_to_positive 1.22% : 0.000033s : 13: substitution.tuple_list_get_item_depend_reorder 3.87% : 0.000104s : 30: substitution.tuple_list_get_item_eliminator 0.87% : 0.000023s : 9: substitution.updatestate_pure_node_eliminater 2.23% : 0.000060s : 16: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.274765 2 98.62% : 0.270975s : 1: type_inference.infer 1.38% : 0.003790s : 1: type_inference.specialize ------[replace.] 0.000836 54 8.08% : 0.000068s : 3: replace.getattr_setattr_resolve 47.85% : 0.000400s : 29: replace.inline 6.71% : 0.000056s : 1: replace.replace_applicator 9.35% : 0.000078s : 3: replace.switch_simplify 23.23% : 0.000194s : 17: replace.tuple_list_get_item_eliminator 4.77% : 0.000040s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.002145 54 37.10% : 0.000796s : 3: match.getattr_setattr_resolve 58.81% : 0.001262s : 29: match.inline 0.60% : 0.000013s : 1: match.replace_applicator 0.65% : 0.000014s : 3: match.switch_simplify 2.19% : 0.000047s : 17: match.tuple_list_get_item_eliminator 0.66% : 0.000014s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.000928 6048 1.51% : 0.000014s : 101: predicate.accumulaten_eliminater 0.26% : 0.000002s : 7: predicate.ad_related_special_op_eliminate 1.46% : 0.000014s : 101: predicate.addn_check_dump 1.57% : 0.000015s : 101: predicate.addn_zero_filter 2.14% : 0.000020s : 101: predicate.arithmetic_simplify 1.58% : 0.000015s : 101: predicate.cast_eliminate 0.14% : 0.000001s : 8: predicate.check_bprop_eliminate 1.46% : 0.000014s : 101: predicate.compare_switch_simplify 1.60% : 0.000015s : 101: predicate.depend_value_elim 1.44% : 0.000013s : 101: predicate.dict_get_item_const_eliminator 1.42% : 0.000013s : 101: predicate.dict_get_item_eliminator 1.41% : 0.000013s : 101: predicate.dict_set_item_eliminator 0.20% : 0.000002s : 7: predicate.dumpgradient_eliminate 0.09% : 0.000001s : 7: predicate.elim_not_effective 0.17% : 0.000002s : 7: predicate.elim_shapecalc_of_broadcastargs 1.62% : 0.000015s : 101: predicate.environ_add_const_eliminate 1.36% : 0.000013s : 101: predicate.environ_get_add_eliminate 1.41% : 0.000013s : 101: predicate.environ_get_depend_swap 1.53% : 0.000014s : 101: predicate.environ_get_eliminate 1.42% : 0.000013s : 101: predicate.environ_get_set_eliminate 0.06% : 0.000001s : 7: predicate.fold_const_symbol 0.86% : 0.000008s : 44: predicate.get_grad_eliminate 0.70% : 0.000006s : 20: predicate.getattr_setattr_resolve 0.11% : 0.000001s : 8: predicate.graph_param_transform 4.37% : 0.000041s : 163: predicate.inline 1.92% : 0.000018s : 105: predicate.inline_without_move 0.35% : 0.000003s : 44: predicate.j_node_and_user_rematch 1.03% : 0.000010s : 44: predicate.less_batch_normalization 1.81% : 0.000017s : 118: predicate.list_to_tuple_eliminator_ 2.01% : 0.000019s : 126: predicate.load_eliminater 0.29% : 0.000003s : 8: predicate.loop_unroll_after_grad 2.91% : 0.000027s : 187: predicate.loop_unroll_before_grad 1.64% : 0.000015s : 109: predicate.make_slice_get_slice_eliminator 1.50% : 0.000014s : 101: predicate.merge_addn 1.68% : 0.000016s : 101: predicate.minmaximum_grad 0.39% : 0.000004s : 8: predicate.mutable_eliminate 0.16% : 0.000001s : 7: predicate.opt_reshape 2.27% : 0.000021s : 126: predicate.partial_eliminate 1.46% : 0.000014s : 101: predicate.print_const_string_wrapper 1.89% : 0.000018s : 101: predicate.reduce_eliminate 1.88% : 0.000017s : 118: predicate.redundant_stop_gradient_eliminater 0.44% : 0.000004s : 44: predicate.remove_not_recompute_node 2.74% : 0.000025s : 243: predicate.replace_applicator 1.00% : 0.000009s : 105: predicate.replace_old_param 0.12% : 0.000001s : 8: predicate.reset_defer_inline 1.53% : 0.000014s : 101: predicate.reshape_eliminate 1.50% : 0.000014s : 101: predicate.row_tensor_add_zeros_like 0.26% : 0.000002s : 8: predicate.row_tensor_eliminate 1.48% : 0.000014s : 101: predicate.same_eliminate 0.52% : 0.000005s : 52: predicate.set_cell_output_no_recompute 0.30% : 0.000003s : 15: predicate.special_op_eliminate 0.89% : 0.000008s : 50: predicate.specialize_transform 1.74% : 0.000016s : 101: predicate.split_environ_get_set_with_tuple_value 1.58% : 0.000015s : 101: predicate.stack_unstack_eliminate 0.14% : 0.000001s : 8: predicate.switch_call_monad_eliminater 3.09% : 0.000029s : 147: predicate.switch_defer_inline 2.62% : 0.000024s : 147: predicate.switch_layer_defer_inline 6.00% : 0.000056s : 348: predicate.switch_simplify 1.46% : 0.000014s : 101: predicate.tile_eliminate 1.65% : 0.000015s : 101: predicate.transpose_eliminate 1.79% : 0.000017s : 101: predicate.tuple_list_convert_item_index_to_positive 1.69% : 0.000016s : 101: predicate.tuple_list_get_item_depend_reorder 3.35% : 0.000031s : 134: predicate.tuple_list_get_item_eliminator 1.97% : 0.000018s : 101: predicate.tuple_list_set_item_eliminator 1.80% : 0.000017s : 118: predicate.tuple_to_list_eliminator_ 2.05% : 0.000019s : 126: predicate.updatestate_pure_node_eliminater 3.03% : 0.000028s : 172: predicate.updatestate_useless_node_eliminater 1.91% : 0.000018s : 101: predicate.value_based_eliminate 0.11% : 0.000001s : 7: predicate.virtual_view_grad_eliminate 0.16% : 0.000001s : 8: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.007466 79 69.41% : 0.005182s : 42: func_graph_cloner_run.FuncGraphClonerGraph 4.67% : 0.000349s : 7: func_graph_cloner_run.FuncGraphClonerNode 25.92% : 0.001935s : 30: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.586033 104 0.01% : 0.000096s : 1: add_recomputation 0.69% : 0.011000s : 1: auto_monad 0.00% : 0.000039s : 1: auto_monad_reorder 0.03% : 0.000553s : 1: bootstrap 0.00% : 0.000039s : 1: cconv 0.00% : 0.000015s : 1: convert_after_rewriter 0.00% : 0.000039s : 1: cse_after_recomputation 0.00% : 0.000015s : 1: environ_conv 0.03% : 0.000437s : 1: event_method 0.00% : 0.000009s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000025s : 1: graph_reusing 51.90% : 0.823073s : 1: jit_opt_a 0.02% : 0.000281s : 1: jit_opt_after_cconv 0.01% : 0.000100s : 1: jit_opt_b 0.03% : 0.000511s : 1: loop_unroll 0.06% : 0.000911s : 1: mutable_eliminate 0.49% : 0.007775s : 52: opt.transform.jit_opt_a 0.01% : 0.000121s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000061s : 4: opt.transform.jit_opt_b 0.00% : 0.000020s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000026s : 1: opt.transform.mutable_eliminate 0.00% : 0.000038s : 1: opt.transform.opt_after_jit_grad 0.06% : 0.000987s : 2: opt.transform.opt_resolve 0.00% : 0.000060s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000553s : 1: opt_after_jit_grad 0.00% : 0.000011s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000009s : 1: pre_auto_parallel 0.01% : 0.000094s : 1: py_interpret_to_execute 0.00% : 0.000020s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000054s : 1: remove_dup_value 28.92% : 0.458650s : 3: renormalize.infer 0.31% : 0.004928s : 3: renormalize.specialize 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000210s : 1: rewriter_after_opt_a 0.01% : 0.000190s : 1: rewriter_before_opt_a 0.01% : 0.000115s : 1: symbol_engine_optimizer 17.34% : 0.274949s : 1: type_inference TotalTime = 0.575145, [30] [bootstrap]: 0.00034154 [type_inference]: 0.497513 [event_method]: 1.953e-05 [auto_monad]: 0.00017837 [graph_reusing]: 6.60997e-06 [pre_auto_parallel]: 2.77002e-06 [py_interpret_to_execute]: 0.00035351 [rewriter_before_opt_a]: 7.37e-05 [expand_dump_flag]: 4.04002e-06 [jit_opt_a]: 0.00866006, [2] [Cycle 1]: 0.00402055, [27] [switch_simplify]: 5.637e-05 [loop_unroll]: 2.489e-05 [a_1]: 0.00055604 [with_stream_mark]: 3.106e-05 [recompute_prepare]: 1.436e-05 [updatestate_depend_eliminate]: 7.26999e-06 [updatestate_assign_eliminate]: 5.61e-06 [updatestate_loads_eliminate]: 5.35001e-06 [parameter_eliminate]: 2.45002e-06 [specialize_transform]: 1.081e-05 [updatestate_useless_node_eliminater]: 1.285e-05 [accelerated_algorithm]: 8.80999e-06 [meta_shard_fg_expand]: 2.63003e-06 [get_grad_eliminate_]: 1e-05 [merge_forward]: 6.10002e-06 [cell_reuse_recompute_pass]: 2.24001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.269e-05 [j_node_and_user_rematch]: 1.547e-05 [meta_fg_expand]: 3.65e-06 [replace_old_param]: 1.476e-05 [inline_without_move]: 9.42999e-06 [renormalize]: 0.00285876 [add_forward_monad_depend]: 9.67999e-06 [auto_monad_grad]: 2.49001e-06 [auto_monad_eliminator]: 2.703e-05 [cse]: 3.919e-05 [replace_applicator]: 2.708e-05 [Cycle 2]: 0.00058419, [27] [switch_simplify]: 1.026e-05 [loop_unroll]: 9.77001e-06 [a_1]: 0.00021343 [with_stream_mark]: 1.824e-05 [recompute_prepare]: 9.59e-06 [updatestate_depend_eliminate]: 6.02001e-06 [updatestate_assign_eliminate]: 5.67999e-06 [updatestate_loads_eliminate]: 5.05001e-06 [parameter_eliminate]: 1.56998e-06 [specialize_transform]: 1.045e-05 [updatestate_useless_node_eliminater]: 1.257e-05 [accelerated_algorithm]: 9.72999e-06 [meta_shard_fg_expand]: 2.31998e-06 [get_grad_eliminate_]: 8.94998e-06 [merge_forward]: 6.40002e-06 [cell_reuse_recompute_pass]: 3.78001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.263e-05 [j_node_and_user_rematch]: 1.527e-05 [meta_fg_expand]: 3.05998e-06 [replace_old_param]: 1.396e-05 [inline_without_move]: 8.45999e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 1.98002e-06 [auto_monad_grad]: 1.64e-06 [auto_monad_eliminator]: 1.315e-05 [cse]: 2.351e-05 [replace_applicator]: 1.013e-05 [py_interpret_to_execute_after_opt_a]: 1.86e-05 [rewriter_after_opt_a]: 0.00050764 [convert_after_rewriter]: 1.606e-05 [order_py_execute_after_rewriter]: 7.49002e-06 [mutable_eliminate]: 0.00079279 [jit_opt_b]: 7.778e-05, [1] [Cycle 1]: 6.941e-05, [2] [frontend_op_eliminate]: 2.782e-05 [inline_after_opt_a]: 2.766e-05 [cconv]: 4.004e-05 [loop_unroll]: 0.0649729 [jit_opt_after_cconv]: 0.00027038, [1] [Cycle 1]: 0.0002584, [11] [c_1]: 6.79e-05 [parameter_eliminate]: 7.21001e-06 [updatestate_depend_eliminate]: 1.464e-05 [updatestate_assign_eliminate]: 6.14001e-06 [updatestate_loads_eliminate]: 4.62e-06 [cse]: 4.937e-05 [call_graph_tuple_transform]: 2.7e-05 [tuple_list_get_item_eliminator]: 1.108e-05 [none_parameter_eliminate]: 1.48002e-06 [renormalize]: 9.70002e-07 [switch_simplify]: 9.81998e-06 [remove_dup_value]: 2.753e-05 [partial_unused_args_eliminate]: 5.81e-06 [environ_conv]: 1.498e-05 [add_recomputation]: 7.925e-05 [cse_after_recomputation]: 3.256e-05, [1] [Cycle 1]: 2.586e-05, [1] [cse]: 1.79e-05 [auto_monad_reorder]: 2.975e-05 [get_jit_bprop_graph]: 2.19999e-06 [rewriter_after_jit_bprop_graph]: 9.70002e-06 [opt_after_jit_grad]: 0.00062205 [symbol_engine_optimizer]: 0.00010814, [1] [Cycle 1]: 0.00010027, [6] [build]: 6.58998e-06 [elim_shapecalc]: 1.329e-05 [elim_not_effective]: 2.123e-05 [opt_reshape]: 1.048e-05 [fold_const_symbol]: 1.568e-05 [renormalize]: 6.59988e-07 [validate]: 7.389e-05 Sums bootstrap : 0.000342s : 0.06% type_inference : 0.497513s : 87.24% event_method : 0.000020s : 0.00% auto_monad : 0.000178s : 0.03% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000354s : 0.06% rewriter_before_opt_a : 0.000074s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000067s : 0.01% jit_opt_a.loop_unroll : 0.000035s : 0.01% jit_opt_a.a_1 : 0.000769s : 0.13% jit_opt_a.with_stream_mark : 0.000049s : 0.01% jit_opt_a.recompute_prepare : 0.000024s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000013s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000011s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000010s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000021s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000025s : 0.00% jit_opt_a.accelerated_algorithm : 0.000019s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000019s : 0.00% jit_opt_a.merge_forward : 0.000013s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000045s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000031s : 0.01% jit_opt_a.meta_fg_expand : 0.000007s : 0.00% jit_opt_a.replace_old_param : 0.000029s : 0.01% jit_opt_a.inline_without_move : 0.000018s : 0.00% jit_opt_a.renormalize : 0.002859s : 0.50% jit_opt_a.add_forward_monad_depend : 0.000012s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000040s : 0.01% jit_opt_a.cse : 0.000063s : 0.01% jit_opt_a.replace_applicator : 0.000037s : 0.01% py_interpret_to_execute_after_opt_a : 0.000019s : 0.00% rewriter_after_opt_a : 0.000508s : 0.09% convert_after_rewriter : 0.000016s : 0.00% order_py_execute_after_rewriter : 0.000007s : 0.00% mutable_eliminate : 0.000793s : 0.14% jit_opt_b.frontend_op_eliminate : 0.000028s : 0.00% jit_opt_b.inline_after_opt_a : 0.000028s : 0.00% cconv : 0.000040s : 0.01% loop_unroll : 0.064973s : 11.39% jit_opt_after_cconv.c_1 : 0.000068s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000015s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.cse : 0.000049s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000027s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000011s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000001s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000010s : 0.00% remove_dup_value : 0.000028s : 0.00% partial_unused_args_eliminate : 0.000006s : 0.00% environ_conv : 0.000015s : 0.00% add_recomputation : 0.000079s : 0.01% cse_after_recomputation.cse : 0.000018s : 0.00% auto_monad_reorder : 0.000030s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000010s : 0.00% opt_after_jit_grad : 0.000622s : 0.11% symbol_engine_optimizer.build : 0.000007s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000013s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000021s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000010s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000016s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000074s : 0.01% Time group info: ------[substitution.] 0.000251 45 4.63% : 0.000012s : 2: substitution.depend_value_elim 1.34% : 0.000003s : 4: substitution.elim_not_effective 0.89% : 0.000002s : 4: substitution.fold_const_symbol 2.91% : 0.000007s : 6: substitution.graph_param_transform 71.15% : 0.000178s : 3: substitution.inline 2.26% : 0.000006s : 8: substitution.j_node_and_user_rematch 3.48% : 0.000009s : 8: substitution.remove_not_recompute_node 2.63% : 0.000007s : 2: substitution.replace_old_param 6.25% : 0.000016s : 3: substitution.updatestate_pure_node_eliminater 4.46% : 0.000011s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.497405 2 99.61% : 0.495456s : 1: type_inference.infer 0.39% : 0.001949s : 1: type_inference.specialize ------[replace.] 0.000038 3 100.00% : 0.000038s : 3: replace.inline ------[match.] 0.000176 3 100.00% : 0.000176s : 3: match.inline ------[predicate.] 0.000180 970 1.15% : 0.000002s : 14: predicate.accumulaten_eliminater 1.36% : 0.000002s : 6: predicate.ad_related_special_op_eliminate 1.13% : 0.000002s : 14: predicate.addn_check_dump 1.11% : 0.000002s : 14: predicate.addn_zero_filter 1.84% : 0.000003s : 14: predicate.arithmetic_simplify 1.09% : 0.000002s : 14: predicate.cast_eliminate 0.54% : 0.000001s : 6: predicate.check_bprop_eliminate 1.14% : 0.000002s : 14: predicate.compare_switch_simplify 1.32% : 0.000002s : 14: predicate.depend_value_elim 1.02% : 0.000002s : 14: predicate.dict_get_item_const_eliminator 1.25% : 0.000002s : 14: predicate.dict_get_item_eliminator 1.09% : 0.000002s : 14: predicate.dict_set_item_eliminator 0.82% : 0.000001s : 6: predicate.dumpgradient_eliminate 0.47% : 0.000001s : 6: predicate.elim_not_effective 0.78% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.20% : 0.000002s : 14: predicate.environ_add_const_eliminate 1.28% : 0.000002s : 14: predicate.environ_get_add_eliminate 0.98% : 0.000002s : 14: predicate.environ_get_depend_swap 1.21% : 0.000002s : 14: predicate.environ_get_eliminate 1.04% : 0.000002s : 14: predicate.environ_get_set_eliminate 0.29% : 0.000001s : 6: predicate.fold_const_symbol 1.32% : 0.000002s : 12: predicate.get_grad_eliminate 0.37% : 0.000001s : 6: predicate.graph_param_transform 5.30% : 0.000010s : 29: predicate.inline 1.14% : 0.000002s : 12: predicate.inline_without_move 0.52% : 0.000001s : 12: predicate.j_node_and_user_rematch 1.40% : 0.000003s : 12: predicate.less_batch_normalization 1.16% : 0.000002s : 14: predicate.list_to_tuple_eliminator_ 1.57% : 0.000003s : 20: predicate.load_eliminater 5.14% : 0.000009s : 6: predicate.loop_unroll_after_grad 2.80% : 0.000005s : 30: predicate.loop_unroll_before_grad 2.61% : 0.000005s : 20: predicate.make_slice_get_slice_eliminator 1.11% : 0.000002s : 14: predicate.merge_addn 0.97% : 0.000002s : 14: predicate.minmaximum_grad 2.27% : 0.000004s : 6: predicate.mutable_eliminate 0.69% : 0.000001s : 6: predicate.opt_reshape 1.93% : 0.000003s : 20: predicate.partial_eliminate 1.17% : 0.000002s : 14: predicate.print_const_string_wrapper 1.73% : 0.000003s : 14: predicate.reduce_eliminate 1.19% : 0.000002s : 14: predicate.redundant_stop_gradient_eliminater 0.78% : 0.000001s : 12: predicate.remove_not_recompute_node 1.85% : 0.000003s : 26: predicate.replace_applicator 0.83% : 0.000001s : 12: predicate.replace_old_param 0.38% : 0.000001s : 6: predicate.reset_defer_inline 1.21% : 0.000002s : 14: predicate.reshape_eliminate 1.27% : 0.000002s : 14: predicate.row_tensor_add_zeros_like 1.08% : 0.000002s : 6: predicate.row_tensor_eliminate 1.29% : 0.000002s : 14: predicate.same_eliminate 0.63% : 0.000001s : 12: predicate.set_cell_output_no_recompute 1.09% : 0.000002s : 12: predicate.special_op_eliminate 1.25% : 0.000002s : 12: predicate.specialize_transform 1.38% : 0.000002s : 14: predicate.split_environ_get_set_with_tuple_value 1.26% : 0.000002s : 14: predicate.stack_unstack_eliminate 0.78% : 0.000001s : 6: predicate.switch_call_monad_eliminater 2.07% : 0.000004s : 17: predicate.switch_defer_inline 1.55% : 0.000003s : 17: predicate.switch_layer_defer_inline 5.74% : 0.000010s : 53: predicate.switch_simplify 1.06% : 0.000002s : 14: predicate.tile_eliminate 1.18% : 0.000002s : 14: predicate.transpose_eliminate 1.32% : 0.000002s : 14: predicate.tuple_list_convert_item_index_to_positive 1.12% : 0.000002s : 14: predicate.tuple_list_get_item_depend_reorder 3.62% : 0.000007s : 26: predicate.tuple_list_get_item_eliminator 1.52% : 0.000003s : 14: predicate.tuple_list_set_item_eliminator 1.37% : 0.000002s : 14: predicate.tuple_to_list_eliminator_ 1.64% : 0.000003s : 20: predicate.updatestate_pure_node_eliminater 3.25% : 0.000006s : 32: predicate.updatestate_useless_node_eliminater 1.69% : 0.000003s : 14: predicate.value_based_eliminate 0.44% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.86% : 0.000002s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003025 27 75.30% : 0.002278s : 22: func_graph_cloner_run.FuncGraphClonerGraph 24.70% : 0.000747s : 5: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.579271 72 0.01% : 0.000084s : 1: add_recomputation 0.03% : 0.000186s : 1: auto_monad 0.01% : 0.000033s : 1: auto_monad_reorder 0.06% : 0.000368s : 1: bootstrap 0.01% : 0.000043s : 1: cconv 0.00% : 0.000020s : 1: convert_after_rewriter 0.01% : 0.000035s : 1: cse_after_recomputation 0.00% : 0.000018s : 1: environ_conv 0.00% : 0.000025s : 1: event_method 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000009s : 1: graph_reusing 1.50% : 0.008664s : 1: jit_opt_a 0.05% : 0.000275s : 1: jit_opt_after_cconv 0.01% : 0.000082s : 1: jit_opt_b 11.22% : 0.065002s : 1: loop_unroll 0.14% : 0.000807s : 1: mutable_eliminate 0.19% : 0.001102s : 26: opt.transform.jit_opt_a 0.02% : 0.000112s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000047s : 4: opt.transform.jit_opt_b 0.01% : 0.000050s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000026s : 1: opt.transform.mutable_eliminate 0.01% : 0.000036s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.000057s : 4: opt.transform.symbol_engine_opt 0.11% : 0.000633s : 1: opt_after_jit_grad 0.00% : 0.000010s : 1: order_py_execute_after_rewriter 0.00% : 0.000008s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pre_auto_parallel 0.06% : 0.000362s : 1: py_interpret_to_execute 0.00% : 0.000022s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000031s : 1: remove_dup_value 0.34% : 0.001992s : 1: renormalize.infer 0.15% : 0.000854s : 1: renormalize.specialize 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.09% : 0.000518s : 1: rewriter_after_opt_a 0.01% : 0.000081s : 1: rewriter_before_opt_a 0.02% : 0.000111s : 1: symbol_engine_optimizer 85.89% : 0.497540s : 1: type_inference TotalTime = 0.952533, [30] [bootstrap]: 0.00040945 [type_inference]: 0.51258 [event_method]: 0.00049755 [auto_monad]: 0.00030563 [graph_reusing]: 1.068e-05 [pre_auto_parallel]: 3.58e-06 [py_interpret_to_execute]: 6.293e-05 [rewriter_before_opt_a]: 0.00016409 [expand_dump_flag]: 4.42e-06 [jit_opt_a]: 0.435035, [4] [Cycle 1]: 0.275007, [27] [switch_simplify]: 0.00028204 [loop_unroll]: 7.755e-05 [a_1]: 0.00175847 [with_stream_mark]: 4.036e-05 [recompute_prepare]: 5.239e-05 [updatestate_depend_eliminate]: 1.658e-05 [updatestate_assign_eliminate]: 1.208e-05 [updatestate_loads_eliminate]: 9.94001e-06 [parameter_eliminate]: 3.43e-06 [specialize_transform]: 2.308e-05 [updatestate_useless_node_eliminater]: 2.573e-05 [accelerated_algorithm]: 2.18e-05 [meta_shard_fg_expand]: 7.06999e-06 [get_grad_eliminate_]: 2.016e-05 [merge_forward]: 1.271e-05 [cell_reuse_recompute_pass]: 1.24e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.984e-05 [j_node_and_user_rematch]: 3.644e-05 [meta_fg_expand]: 0.153732 [replace_old_param]: 0.00013323 [inline_without_move]: 0.00012829 [renormalize]: 0.117141 [add_forward_monad_depend]: 2.66e-05 [auto_monad_grad]: 1.238e-05 [auto_monad_eliminator]: 0.0001257 [cse]: 0.00056142 [replace_applicator]: 0.00031901 [Cycle 2]: 0.00824253, [27] [switch_simplify]: 0.00017745 [loop_unroll]: 9.317e-05 [a_1]: 0.00465044 [with_stream_mark]: 4.051e-05 [recompute_prepare]: 3.48e-05 [updatestate_depend_eliminate]: 1.46e-05 [updatestate_assign_eliminate]: 1.407e-05 [updatestate_loads_eliminate]: 1.223e-05 [parameter_eliminate]: 4.03001e-06 [specialize_transform]: 2.028e-05 [updatestate_useless_node_eliminater]: 8.703e-05 [accelerated_algorithm]: 1.535e-05 [meta_shard_fg_expand]: 5.82999e-06 [get_grad_eliminate_]: 1.393e-05 [merge_forward]: 7.8e-06 [cell_reuse_recompute_pass]: 1.70001e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.067e-05 [j_node_and_user_rematch]: 2.305e-05 [meta_fg_expand]: 0.00015721 [replace_old_param]: 2.574e-05 [inline_without_move]: 1.425e-05 [renormalize]: 0.00233283 [add_forward_monad_depend]: 1.179e-05 [auto_monad_grad]: 3.00002e-06 [auto_monad_eliminator]: 3.441e-05 [cse]: 0.00011491 [replace_applicator]: 3.402e-05 [Cycle 3]: 0.133266, [27] [switch_simplify]: 1.462e-05 [loop_unroll]: 1.292e-05 [a_1]: 0.00034296 [with_stream_mark]: 2.403e-05 [recompute_prepare]: 1.326e-05 [updatestate_depend_eliminate]: 5.466e-05 [updatestate_assign_eliminate]: 6.46e-06 [updatestate_loads_eliminate]: 6.27001e-06 [parameter_eliminate]: 2.43e-06 [specialize_transform]: 1.32e-05 [updatestate_useless_node_eliminater]: 1.46e-05 [accelerated_algorithm]: 1.198e-05 [meta_shard_fg_expand]: 2.81999e-06 [get_grad_eliminate_]: 1.097e-05 [merge_forward]: 3.973e-05 [cell_reuse_recompute_pass]: 1.132e-05 [cell_reuse_handle_not_recompute_node_pass]: 6.965e-05 [j_node_and_user_rematch]: 2.468e-05 [meta_fg_expand]: 7.38e-06 [replace_old_param]: 2.004e-05 [inline_without_move]: 1.232e-05 [renormalize]: 0.00103167 [add_forward_monad_depend]: 9.00999e-06 [auto_monad_grad]: 2.86999e-06 [auto_monad_eliminator]: 2.672e-05 [cse]: 5.475e-05 [replace_applicator]: 2.328e-05 [Cycle 4]: 0.00067816, [27] [switch_simplify]: 1.311e-05 [loop_unroll]: 1.092e-05 [a_1]: 0.00028241 [with_stream_mark]: 1.946e-05 [recompute_prepare]: 1.158e-05 [updatestate_depend_eliminate]: 7.08e-06 [updatestate_assign_eliminate]: 6.02001e-06 [updatestate_loads_eliminate]: 5.09998e-06 [parameter_eliminate]: 1.84e-06 [specialize_transform]: 1.221e-05 [updatestate_useless_node_eliminater]: 1.373e-05 [accelerated_algorithm]: 1.22e-05 [meta_shard_fg_expand]: 2.52001e-06 [get_grad_eliminate_]: 1.023e-05 [merge_forward]: 5.62001e-06 [cell_reuse_recompute_pass]: 2.11998e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.262e-05 [j_node_and_user_rematch]: 1.687e-05 [meta_fg_expand]: 3.68999e-06 [replace_old_param]: 1.254e-05 [inline_without_move]: 1.011e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 1.92999e-06 [auto_monad_grad]: 1.29998e-06 [auto_monad_eliminator]: 1.577e-05 [cse]: 2.63e-05 [replace_applicator]: 1.18e-05 [py_interpret_to_execute_after_opt_a]: 2.008e-05 [rewriter_after_opt_a]: 0.00021817 [convert_after_rewriter]: 1.346e-05 [order_py_execute_after_rewriter]: 7.54002e-06 [mutable_eliminate]: 0.00083177 [jit_opt_b]: 9.435e-05, [1] [Cycle 1]: 8.423e-05, [2] [frontend_op_eliminate]: 3.632e-05 [inline_after_opt_a]: 3.22e-05 [cconv]: 3.978e-05 [loop_unroll]: 0.00057679 [jit_opt_after_cconv]: 0.00027902, [1] [Cycle 1]: 0.00027107, [11] [c_1]: 7.184e-05 [parameter_eliminate]: 4.22e-06 [updatestate_depend_eliminate]: 1.328e-05 [updatestate_assign_eliminate]: 6.43998e-06 [updatestate_loads_eliminate]: 5.37001e-06 [cse]: 5.158e-05 [call_graph_tuple_transform]: 3.352e-05 [tuple_list_get_item_eliminator]: 1.236e-05 [none_parameter_eliminate]: 2.20002e-06 [renormalize]: 5.60016e-07 [switch_simplify]: 1.155e-05 [remove_dup_value]: 6.521e-05 [partial_unused_args_eliminate]: 3.26999e-06 [environ_conv]: 1.367e-05 [add_recomputation]: 9.357e-05 [cse_after_recomputation]: 4.073e-05, [1] [Cycle 1]: 3.312e-05, [1] [cse]: 2.399e-05 [auto_monad_reorder]: 4.097e-05 [get_jit_bprop_graph]: 2.36e-06 [rewriter_after_jit_bprop_graph]: 8.45001e-06 [opt_after_jit_grad]: 0.00062411 [symbol_engine_optimizer]: 0.00012378, [1] [Cycle 1]: 0.00011576, [6] [build]: 7.71999e-06 [elim_shapecalc]: 1.506e-05 [elim_not_effective]: 2.66e-05 [opt_reshape]: 1.236e-05 [fold_const_symbol]: 1.917e-05 [renormalize]: 5.10016e-07 [validate]: 7.575e-05 Sums bootstrap : 0.000409s : 0.05% type_inference : 0.512580s : 63.91% event_method : 0.000498s : 0.06% auto_monad : 0.000306s : 0.04% graph_reusing : 0.000011s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000063s : 0.01% rewriter_before_opt_a : 0.000164s : 0.02% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000487s : 0.06% jit_opt_a.loop_unroll : 0.000195s : 0.02% jit_opt_a.a_1 : 0.007034s : 0.88% jit_opt_a.with_stream_mark : 0.000124s : 0.02% jit_opt_a.recompute_prepare : 0.000112s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000093s : 0.01% jit_opt_a.updatestate_assign_eliminate : 0.000039s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000034s : 0.00% jit_opt_a.parameter_eliminate : 0.000012s : 0.00% jit_opt_a.specialize_transform : 0.000069s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000141s : 0.02% jit_opt_a.accelerated_algorithm : 0.000061s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000018s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000055s : 0.01% jit_opt_a.merge_forward : 0.000066s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000016s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000163s : 0.02% jit_opt_a.j_node_and_user_rematch : 0.000101s : 0.01% jit_opt_a.meta_fg_expand : 0.153901s : 19.19% jit_opt_a.replace_old_param : 0.000192s : 0.02% jit_opt_a.inline_without_move : 0.000165s : 0.02% jit_opt_a.renormalize : 0.120505s : 15.02% jit_opt_a.add_forward_monad_depend : 0.000049s : 0.01% jit_opt_a.auto_monad_grad : 0.000020s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000203s : 0.03% jit_opt_a.cse : 0.000757s : 0.09% jit_opt_a.replace_applicator : 0.000388s : 0.05% py_interpret_to_execute_after_opt_a : 0.000020s : 0.00% rewriter_after_opt_a : 0.000218s : 0.03% convert_after_rewriter : 0.000013s : 0.00% order_py_execute_after_rewriter : 0.000008s : 0.00% mutable_eliminate : 0.000832s : 0.10% jit_opt_b.frontend_op_eliminate : 0.000036s : 0.00% jit_opt_b.inline_after_opt_a : 0.000032s : 0.00% cconv : 0.000040s : 0.00% loop_unroll : 0.000577s : 0.07% jit_opt_after_cconv.c_1 : 0.000072s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.cse : 0.000052s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000034s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000012s : 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 : 0.000012s : 0.00% remove_dup_value : 0.000065s : 0.01% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000014s : 0.00% add_recomputation : 0.000094s : 0.01% cse_after_recomputation.cse : 0.000024s : 0.00% auto_monad_reorder : 0.000041s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000624s : 0.08% symbol_engine_optimizer.build : 0.000008s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000015s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000027s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000012s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000019s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000076s : 0.01% Time group info: ------[substitution.] 0.003095 271 1.63% : 0.000050s : 12: substitution.depend_value_elim 0.12% : 0.000004s : 5: substitution.elim_not_effective 0.08% : 0.000003s : 5: substitution.fold_const_symbol 26.31% : 0.000814s : 4: substitution.getattr_setattr_resolve 0.29% : 0.000009s : 8: substitution.graph_param_transform 50.02% : 0.001548s : 29: substitution.inline 1.33% : 0.000041s : 4: substitution.inline_without_move 0.62% : 0.000019s : 29: substitution.j_node_and_user_rematch 0.78% : 0.000024s : 13: substitution.minmaximum_grad 0.49% : 0.000015s : 14: substitution.partial_eliminate 0.80% : 0.000025s : 29: substitution.remove_not_recompute_node 2.62% : 0.000081s : 16: substitution.replace_applicator 0.76% : 0.000024s : 17: substitution.replace_old_param 0.24% : 0.000007s : 2: substitution.set_cell_output_no_recompute 1.18% : 0.000037s : 3: substitution.switch_simplify 5.14% : 0.000159s : 13: substitution.tuple_list_convert_item_index_to_positive 1.13% : 0.000035s : 13: substitution.tuple_list_get_item_depend_reorder 3.64% : 0.000113s : 30: substitution.tuple_list_get_item_eliminator 0.84% : 0.000026s : 9: substitution.updatestate_pure_node_eliminater 1.98% : 0.000061s : 16: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.512446 2 99.24% : 0.508576s : 1: type_inference.infer 0.76% : 0.003870s : 1: type_inference.specialize ------[replace.] 0.000964 54 6.98% : 0.000067s : 3: replace.getattr_setattr_resolve 48.73% : 0.000470s : 29: replace.inline 9.35% : 0.000090s : 1: replace.replace_applicator 9.17% : 0.000088s : 3: replace.switch_simplify 21.28% : 0.000205s : 17: replace.tuple_list_get_item_eliminator 4.49% : 0.000043s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.002408 54 31.66% : 0.000763s : 3: match.getattr_setattr_resolve 63.44% : 0.001528s : 29: match.inline 0.91% : 0.000022s : 1: match.replace_applicator 1.43% : 0.000034s : 3: match.switch_simplify 2.01% : 0.000048s : 17: match.tuple_list_get_item_eliminator 0.55% : 0.000013s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.000937 6048 1.61% : 0.000015s : 101: predicate.accumulaten_eliminater 0.34% : 0.000003s : 7: predicate.ad_related_special_op_eliminate 1.37% : 0.000013s : 101: predicate.addn_check_dump 1.52% : 0.000014s : 101: predicate.addn_zero_filter 2.13% : 0.000020s : 101: predicate.arithmetic_simplify 1.51% : 0.000014s : 101: predicate.cast_eliminate 0.13% : 0.000001s : 8: predicate.check_bprop_eliminate 1.43% : 0.000013s : 101: predicate.compare_switch_simplify 1.51% : 0.000014s : 101: predicate.depend_value_elim 1.36% : 0.000013s : 101: predicate.dict_get_item_const_eliminator 1.46% : 0.000014s : 101: predicate.dict_get_item_eliminator 1.51% : 0.000014s : 101: predicate.dict_set_item_eliminator 0.25% : 0.000002s : 7: predicate.dumpgradient_eliminate 0.09% : 0.000001s : 7: predicate.elim_not_effective 0.16% : 0.000001s : 7: predicate.elim_shapecalc_of_broadcastargs 1.42% : 0.000013s : 101: predicate.environ_add_const_eliminate 1.46% : 0.000014s : 101: predicate.environ_get_add_eliminate 1.57% : 0.000015s : 101: predicate.environ_get_depend_swap 1.46% : 0.000014s : 101: predicate.environ_get_eliminate 1.38% : 0.000013s : 101: predicate.environ_get_set_eliminate 0.07% : 0.000001s : 7: predicate.fold_const_symbol 0.81% : 0.000008s : 44: predicate.get_grad_eliminate 0.75% : 0.000007s : 20: predicate.getattr_setattr_resolve 0.10% : 0.000001s : 8: predicate.graph_param_transform 4.63% : 0.000043s : 163: predicate.inline 2.05% : 0.000019s : 105: predicate.inline_without_move 0.34% : 0.000003s : 44: predicate.j_node_and_user_rematch 1.06% : 0.000010s : 44: predicate.less_batch_normalization 1.75% : 0.000016s : 118: predicate.list_to_tuple_eliminator_ 1.83% : 0.000017s : 126: predicate.load_eliminater 0.37% : 0.000003s : 8: predicate.loop_unroll_after_grad 3.00% : 0.000028s : 187: predicate.loop_unroll_before_grad 1.61% : 0.000015s : 109: predicate.make_slice_get_slice_eliminator 1.53% : 0.000014s : 101: predicate.merge_addn 1.48% : 0.000014s : 101: predicate.minmaximum_grad 0.39% : 0.000004s : 8: predicate.mutable_eliminate 0.15% : 0.000001s : 7: predicate.opt_reshape 2.44% : 0.000023s : 126: predicate.partial_eliminate 1.33% : 0.000012s : 101: predicate.print_const_string_wrapper 1.85% : 0.000017s : 101: predicate.reduce_eliminate 1.77% : 0.000017s : 118: predicate.redundant_stop_gradient_eliminater 0.58% : 0.000005s : 44: predicate.remove_not_recompute_node 2.73% : 0.000026s : 243: predicate.replace_applicator 0.97% : 0.000009s : 105: predicate.replace_old_param 0.10% : 0.000001s : 8: predicate.reset_defer_inline 1.43% : 0.000013s : 101: predicate.reshape_eliminate 1.68% : 0.000016s : 101: predicate.row_tensor_add_zeros_like 0.21% : 0.000002s : 8: predicate.row_tensor_eliminate 1.74% : 0.000016s : 101: predicate.same_eliminate 0.52% : 0.000005s : 52: predicate.set_cell_output_no_recompute 0.29% : 0.000003s : 15: predicate.special_op_eliminate 0.93% : 0.000009s : 50: predicate.specialize_transform 1.72% : 0.000016s : 101: predicate.split_environ_get_set_with_tuple_value 1.48% : 0.000014s : 101: predicate.stack_unstack_eliminate 0.14% : 0.000001s : 8: predicate.switch_call_monad_eliminater 3.00% : 0.000028s : 147: predicate.switch_defer_inline 2.65% : 0.000025s : 147: predicate.switch_layer_defer_inline 5.95% : 0.000056s : 348: predicate.switch_simplify 1.49% : 0.000014s : 101: predicate.tile_eliminate 1.80% : 0.000017s : 101: predicate.transpose_eliminate 2.00% : 0.000019s : 101: predicate.tuple_list_convert_item_index_to_positive 1.75% : 0.000016s : 101: predicate.tuple_list_get_item_depend_reorder 3.27% : 0.000031s : 134: predicate.tuple_list_get_item_eliminator 1.92% : 0.000018s : 101: predicate.tuple_list_set_item_eliminator 1.62% : 0.000015s : 118: predicate.tuple_to_list_eliminator_ 2.06% : 0.000019s : 126: predicate.updatestate_pure_node_eliminater 2.87% : 0.000027s : 172: predicate.updatestate_useless_node_eliminater 1.84% : 0.000017s : 101: predicate.value_based_eliminate 0.11% : 0.000001s : 7: predicate.virtual_view_grad_eliminate 0.20% : 0.000002s : 8: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.008284 85 71.43% : 0.005918s : 48: func_graph_cloner_run.FuncGraphClonerGraph 5.30% : 0.000439s : 7: func_graph_cloner_run.FuncGraphClonerNode 23.27% : 0.001928s : 30: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.083193 104 0.01% : 0.000098s : 1: add_recomputation 0.03% : 0.000316s : 1: auto_monad 0.00% : 0.000044s : 1: auto_monad_reorder 0.04% : 0.000442s : 1: bootstrap 0.00% : 0.000043s : 1: cconv 0.00% : 0.000017s : 1: convert_after_rewriter 0.00% : 0.000044s : 1: cse_after_recomputation 0.00% : 0.000017s : 1: environ_conv 0.05% : 0.000514s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000014s : 1: graph_reusing 40.16% : 0.435040s : 1: jit_opt_a 0.03% : 0.000283s : 1: jit_opt_after_cconv 0.01% : 0.000098s : 1: jit_opt_b 0.05% : 0.000588s : 1: loop_unroll 0.08% : 0.000845s : 1: mutable_eliminate 0.84% : 0.009058s : 52: opt.transform.jit_opt_a 0.01% : 0.000124s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000060s : 4: opt.transform.jit_opt_b 0.00% : 0.000027s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000027s : 1: opt.transform.mutable_eliminate 0.00% : 0.000046s : 1: opt.transform.opt_after_jit_grad 0.09% : 0.000947s : 2: opt.transform.opt_resolve 0.01% : 0.000069s : 4: opt.transform.symbol_engine_opt 0.06% : 0.000636s : 1: opt_after_jit_grad 0.00% : 0.000010s : 1: order_py_execute_after_rewriter 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.01% : 0.000066s : 1: py_interpret_to_execute 0.00% : 0.000023s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000070s : 1: remove_dup_value 10.63% : 0.115186s : 3: renormalize.infer 0.49% : 0.005278s : 3: renormalize.specialize 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000224s : 1: rewriter_after_opt_a 0.02% : 0.000168s : 1: rewriter_before_opt_a 0.01% : 0.000128s : 1: symbol_engine_optimizer 47.32% : 0.512608s : 1: type_inference TotalTime = 0.615326, [30] [bootstrap]: 0.00034265 [type_inference]: 0.493151 [event_method]: 1.895e-05 [auto_monad]: 0.0001851 [graph_reusing]: 6.72002e-06 [pre_auto_parallel]: 2.53e-06 [py_interpret_to_execute]: 0.00047198 [rewriter_before_opt_a]: 7.563e-05 [expand_dump_flag]: 3.53999e-06 [jit_opt_a]: 0.117661, [2] [Cycle 1]: 0.00421682, [27] [switch_simplify]: 6.016e-05 [loop_unroll]: 2.472e-05 [a_1]: 0.00056206 [with_stream_mark]: 2.747e-05 [recompute_prepare]: 1.32e-05 [updatestate_depend_eliminate]: 6.91999e-06 [updatestate_assign_eliminate]: 5.86e-06 [updatestate_loads_eliminate]: 4.71002e-06 [parameter_eliminate]: 1.93002e-06 [specialize_transform]: 9.61e-06 [updatestate_useless_node_eliminater]: 1.177e-05 [accelerated_algorithm]: 9.96e-06 [meta_shard_fg_expand]: 2.73998e-06 [get_grad_eliminate_]: 9.36998e-06 [merge_forward]: 5.02e-06 [cell_reuse_recompute_pass]: 1.35001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.296e-05 [j_node_and_user_rematch]: 1.574e-05 [meta_fg_expand]: 3.72998e-06 [replace_old_param]: 1.457e-05 [inline_without_move]: 9.61e-06 [renormalize]: 0.003044 [add_forward_monad_depend]: 1.011e-05 [auto_monad_grad]: 2.76999e-06 [auto_monad_eliminator]: 2.569e-05 [cse]: 4.227e-05 [replace_applicator]: 2.583e-05 [Cycle 2]: 0.00055238, [27] [switch_simplify]: 1.042e-05 [loop_unroll]: 8.77e-06 [a_1]: 0.00021167 [with_stream_mark]: 1.78e-05 [recompute_prepare]: 9.07999e-06 [updatestate_depend_eliminate]: 6.13998e-06 [updatestate_assign_eliminate]: 5.34e-06 [updatestate_loads_eliminate]: 4.70999e-06 [parameter_eliminate]: 2.29001e-06 [specialize_transform]: 9.62001e-06 [updatestate_useless_node_eliminater]: 1.142e-05 [accelerated_algorithm]: 9.15001e-06 [meta_shard_fg_expand]: 2.51e-06 [get_grad_eliminate_]: 8.77999e-06 [merge_forward]: 5.59e-06 [cell_reuse_recompute_pass]: 3.61999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.116e-05 [j_node_and_user_rematch]: 1.419e-05 [meta_fg_expand]: 3.21999e-06 [replace_old_param]: 1.261e-05 [inline_without_move]: 8.46002e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 1.45999e-06 [auto_monad_grad]: 1.85001e-06 [auto_monad_eliminator]: 1.123e-05 [cse]: 1.846e-05 [replace_applicator]: 8.64e-06 [py_interpret_to_execute_after_opt_a]: 1.747e-05 [rewriter_after_opt_a]: 0.00054074 [convert_after_rewriter]: 1.458e-05 [order_py_execute_after_rewriter]: 6.71e-06 [mutable_eliminate]: 0.0007516 [jit_opt_b]: 7.398e-05, [1] [Cycle 1]: 6.578e-05, [2] [frontend_op_eliminate]: 2.618e-05 [inline_after_opt_a]: 2.666e-05 [cconv]: 5.075e-05 [loop_unroll]: 0.00055237 [jit_opt_after_cconv]: 0.00027025, [1] [Cycle 1]: 0.00026194, [11] [c_1]: 5.192e-05 [parameter_eliminate]: 3.18998e-06 [updatestate_depend_eliminate]: 8.45001e-06 [updatestate_assign_eliminate]: 5.80002e-06 [updatestate_loads_eliminate]: 4.3e-06 [cse]: 3.115e-05 [call_graph_tuple_transform]: 7.682e-05 [tuple_list_get_item_eliminator]: 1.116e-05 [none_parameter_eliminate]: 2.20002e-06 [renormalize]: 5.3001e-07 [switch_simplify]: 9.77001e-06 [remove_dup_value]: 1.927e-05 [partial_unused_args_eliminate]: 2.26e-06 [environ_conv]: 1.013e-05 [add_recomputation]: 6.996e-05 [cse_after_recomputation]: 3.196e-05, [1] [Cycle 1]: 2.483e-05, [1] [cse]: 1.82e-05 [auto_monad_reorder]: 2.662e-05 [get_jit_bprop_graph]: 1.973e-05 [rewriter_after_jit_bprop_graph]: 6.38003e-06 [opt_after_jit_grad]: 0.00051684 [symbol_engine_optimizer]: 0.00010799, [1] [Cycle 1]: 0.00010085, [6] [build]: 6.28998e-06 [elim_shapecalc]: 1.334e-05 [elim_not_effective]: 2.137e-05 [opt_reshape]: 1.119e-05 [fold_const_symbol]: 1.601e-05 [renormalize]: 6.39993e-07 [validate]: 6.451e-05 Sums bootstrap : 0.000343s : 0.07% type_inference : 0.493151s : 98.30% event_method : 0.000019s : 0.00% auto_monad : 0.000185s : 0.04% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000472s : 0.09% rewriter_before_opt_a : 0.000076s : 0.02% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000071s : 0.01% jit_opt_a.loop_unroll : 0.000033s : 0.01% jit_opt_a.a_1 : 0.000774s : 0.15% jit_opt_a.with_stream_mark : 0.000045s : 0.01% jit_opt_a.recompute_prepare : 0.000022s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000013s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000011s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000019s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000023s : 0.00% jit_opt_a.accelerated_algorithm : 0.000019s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000018s : 0.00% jit_opt_a.merge_forward : 0.000011s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000044s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000030s : 0.01% jit_opt_a.meta_fg_expand : 0.000007s : 0.00% jit_opt_a.replace_old_param : 0.000027s : 0.01% jit_opt_a.inline_without_move : 0.000018s : 0.00% jit_opt_a.renormalize : 0.003044s : 0.61% jit_opt_a.add_forward_monad_depend : 0.000012s : 0.00% jit_opt_a.auto_monad_grad : 0.000005s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000037s : 0.01% jit_opt_a.cse : 0.000061s : 0.01% jit_opt_a.replace_applicator : 0.000034s : 0.01% py_interpret_to_execute_after_opt_a : 0.000017s : 0.00% rewriter_after_opt_a : 0.000541s : 0.11% convert_after_rewriter : 0.000015s : 0.00% order_py_execute_after_rewriter : 0.000007s : 0.00% mutable_eliminate : 0.000752s : 0.15% jit_opt_b.frontend_op_eliminate : 0.000026s : 0.01% jit_opt_b.inline_after_opt_a : 0.000027s : 0.01% cconv : 0.000051s : 0.01% loop_unroll : 0.000552s : 0.11% jit_opt_after_cconv.c_1 : 0.000052s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.cse : 0.000031s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000077s : 0.02% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000011s : 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 : 0.000010s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000010s : 0.00% add_recomputation : 0.000070s : 0.01% cse_after_recomputation.cse : 0.000018s : 0.00% auto_monad_reorder : 0.000027s : 0.01% get_jit_bprop_graph : 0.000020s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000517s : 0.10% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000013s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000021s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000016s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000065s : 0.01% Time group info: ------[substitution.] 0.000250 45 4.23% : 0.000011s : 2: substitution.depend_value_elim 1.15% : 0.000003s : 4: substitution.elim_not_effective 0.91% : 0.000002s : 4: substitution.fold_const_symbol 3.23% : 0.000008s : 6: substitution.graph_param_transform 73.98% : 0.000185s : 3: substitution.inline 2.20% : 0.000005s : 8: substitution.j_node_and_user_rematch 3.36% : 0.000008s : 8: substitution.remove_not_recompute_node 2.92% : 0.000007s : 2: substitution.replace_old_param 3.96% : 0.000010s : 3: substitution.updatestate_pure_node_eliminater 4.06% : 0.000010s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.493046 2 99.61% : 0.491122s : 1: type_inference.infer 0.39% : 0.001924s : 1: type_inference.specialize ------[replace.] 0.000046 3 100.00% : 0.000046s : 3: replace.inline ------[match.] 0.000182 3 100.00% : 0.000182s : 3: match.inline ------[predicate.] 0.000170 970 1.57% : 0.000003s : 14: predicate.accumulaten_eliminater 1.41% : 0.000002s : 6: predicate.ad_related_special_op_eliminate 1.41% : 0.000002s : 14: predicate.addn_check_dump 1.38% : 0.000002s : 14: predicate.addn_zero_filter 1.99% : 0.000003s : 14: predicate.arithmetic_simplify 1.26% : 0.000002s : 14: predicate.cast_eliminate 0.62% : 0.000001s : 6: predicate.check_bprop_eliminate 1.06% : 0.000002s : 14: predicate.compare_switch_simplify 1.42% : 0.000002s : 14: predicate.depend_value_elim 1.05% : 0.000002s : 14: predicate.dict_get_item_const_eliminator 1.35% : 0.000002s : 14: predicate.dict_get_item_eliminator 1.04% : 0.000002s : 14: predicate.dict_set_item_eliminator 0.97% : 0.000002s : 6: predicate.dumpgradient_eliminate 0.39% : 0.000001s : 6: predicate.elim_not_effective 0.87% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.05% : 0.000002s : 14: predicate.environ_add_const_eliminate 1.13% : 0.000002s : 14: predicate.environ_get_add_eliminate 0.96% : 0.000002s : 14: predicate.environ_get_depend_swap 1.12% : 0.000002s : 14: predicate.environ_get_eliminate 1.04% : 0.000002s : 14: predicate.environ_get_set_eliminate 0.31% : 0.000001s : 6: predicate.fold_const_symbol 1.37% : 0.000002s : 12: predicate.get_grad_eliminate 0.56% : 0.000001s : 6: predicate.graph_param_transform 5.16% : 0.000009s : 29: predicate.inline 1.23% : 0.000002s : 12: predicate.inline_without_move 0.52% : 0.000001s : 12: predicate.j_node_and_user_rematch 1.55% : 0.000003s : 12: predicate.less_batch_normalization 1.21% : 0.000002s : 14: predicate.list_to_tuple_eliminator_ 1.90% : 0.000003s : 20: predicate.load_eliminater 1.57% : 0.000003s : 6: predicate.loop_unroll_after_grad 3.10% : 0.000005s : 30: predicate.loop_unroll_before_grad 1.88% : 0.000003s : 20: predicate.make_slice_get_slice_eliminator 1.03% : 0.000002s : 14: predicate.merge_addn 1.43% : 0.000002s : 14: predicate.minmaximum_grad 1.80% : 0.000003s : 6: predicate.mutable_eliminate 0.80% : 0.000001s : 6: predicate.opt_reshape 2.12% : 0.000004s : 20: predicate.partial_eliminate 1.15% : 0.000002s : 14: predicate.print_const_string_wrapper 1.79% : 0.000003s : 14: predicate.reduce_eliminate 1.47% : 0.000002s : 14: predicate.redundant_stop_gradient_eliminater 0.98% : 0.000002s : 12: predicate.remove_not_recompute_node 1.83% : 0.000003s : 26: predicate.replace_applicator 0.91% : 0.000002s : 12: predicate.replace_old_param 0.44% : 0.000001s : 6: predicate.reset_defer_inline 1.21% : 0.000002s : 14: predicate.reshape_eliminate 1.33% : 0.000002s : 14: predicate.row_tensor_add_zeros_like 0.76% : 0.000001s : 6: predicate.row_tensor_eliminate 1.30% : 0.000002s : 14: predicate.same_eliminate 0.72% : 0.000001s : 12: predicate.set_cell_output_no_recompute 1.16% : 0.000002s : 12: predicate.special_op_eliminate 1.25% : 0.000002s : 12: predicate.specialize_transform 1.47% : 0.000002s : 14: predicate.split_environ_get_set_with_tuple_value 1.25% : 0.000002s : 14: predicate.stack_unstack_eliminate 0.65% : 0.000001s : 6: predicate.switch_call_monad_eliminater 1.77% : 0.000003s : 17: predicate.switch_defer_inline 1.60% : 0.000003s : 17: predicate.switch_layer_defer_inline 6.21% : 0.000011s : 53: predicate.switch_simplify 1.21% : 0.000002s : 14: predicate.tile_eliminate 1.60% : 0.000003s : 14: predicate.transpose_eliminate 1.49% : 0.000003s : 14: predicate.tuple_list_convert_item_index_to_positive 1.30% : 0.000002s : 14: predicate.tuple_list_get_item_depend_reorder 3.92% : 0.000007s : 26: predicate.tuple_list_get_item_eliminator 1.53% : 0.000003s : 14: predicate.tuple_list_set_item_eliminator 1.43% : 0.000002s : 14: predicate.tuple_to_list_eliminator_ 1.56% : 0.000003s : 20: predicate.updatestate_pure_node_eliminater 3.28% : 0.000006s : 32: predicate.updatestate_useless_node_eliminater 1.64% : 0.000003s : 14: predicate.value_based_eliminate 0.47% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.69% : 0.000001s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003760 31 79.54% : 0.002990s : 26: func_graph_cloner_run.FuncGraphClonerGraph 20.46% : 0.000769s : 5: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.619640 72 0.01% : 0.000073s : 1: add_recomputation 0.03% : 0.000193s : 1: auto_monad 0.00% : 0.000029s : 1: auto_monad_reorder 0.06% : 0.000368s : 1: bootstrap 0.01% : 0.000056s : 1: cconv 0.00% : 0.000018s : 1: convert_after_rewriter 0.01% : 0.000034s : 1: cse_after_recomputation 0.00% : 0.000013s : 1: environ_conv 0.00% : 0.000025s : 1: event_method 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000024s : 1: get_jit_bprop_graph 0.00% : 0.000010s : 1: graph_reusing 18.99% : 0.117665s : 1: jit_opt_a 0.04% : 0.000274s : 1: jit_opt_after_cconv 0.01% : 0.000077s : 1: jit_opt_b 0.09% : 0.000561s : 1: loop_unroll 0.12% : 0.000761s : 1: mutable_eliminate 0.18% : 0.001097s : 26: opt.transform.jit_opt_a 0.02% : 0.000145s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000046s : 4: opt.transform.jit_opt_b 0.00% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000021s : 1: opt.transform.mutable_eliminate 0.01% : 0.000036s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.000058s : 4: opt.transform.symbol_engine_opt 0.08% : 0.000526s : 1: opt_after_jit_grad 0.00% : 0.000009s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pre_auto_parallel 0.08% : 0.000487s : 1: py_interpret_to_execute 0.00% : 0.000020s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 0.34% : 0.002125s : 1: renormalize.infer 0.15% : 0.000906s : 1: renormalize.specialize 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.09% : 0.000548s : 1: rewriter_after_opt_a 0.01% : 0.000081s : 1: rewriter_before_opt_a 0.02% : 0.000111s : 1: symbol_engine_optimizer 79.59% : 0.493179s : 1: type_inference TotalTime = 1.13124, [30] [bootstrap]: 0.00033211 [type_inference]: 0.809487 [event_method]: 0.00050919 [auto_monad]: 0.00029193 [graph_reusing]: 1.081e-05 [pre_auto_parallel]: 4.16001e-06 [py_interpret_to_execute]: 6.64e-05 [rewriter_before_opt_a]: 0.00015964 [expand_dump_flag]: 4.22e-06 [jit_opt_a]: 0.317023, [4] [Cycle 1]: 0.303983, [27] [switch_simplify]: 0.00022651 [loop_unroll]: 6.681e-05 [a_1]: 0.00158142 [with_stream_mark]: 4.129e-05 [recompute_prepare]: 3.548e-05 [updatestate_depend_eliminate]: 1.386e-05 [updatestate_assign_eliminate]: 1.1e-05 [updatestate_loads_eliminate]: 1.01e-05 [parameter_eliminate]: 3.13e-06 [specialize_transform]: 2.253e-05 [updatestate_useless_node_eliminater]: 2.56e-05 [accelerated_algorithm]: 2.045e-05 [meta_shard_fg_expand]: 5.28002e-06 [get_grad_eliminate_]: 2.003e-05 [merge_forward]: 1.196e-05 [cell_reuse_recompute_pass]: 1.19e-06 [cell_reuse_handle_not_recompute_node_pass]: 4.292e-05 [j_node_and_user_rematch]: 3.615e-05 [meta_fg_expand]: 0.057575 [replace_old_param]: 0.00013312 [inline_without_move]: 0.0001317 [renormalize]: 0.242959 [add_forward_monad_depend]: 2.416e-05 [auto_monad_grad]: 1.378e-05 [auto_monad_eliminator]: 0.00012006 [cse]: 0.00028325 [replace_applicator]: 0.00024427 [Cycle 2]: 0.00692989, [27] [switch_simplify]: 9.11e-05 [loop_unroll]: 8.802e-05 [a_1]: 0.0036146 [with_stream_mark]: 3.777e-05 [recompute_prepare]: 3.001e-05 [updatestate_depend_eliminate]: 1.342e-05 [updatestate_assign_eliminate]: 1.35e-05 [updatestate_loads_eliminate]: 1.25e-05 [parameter_eliminate]: 3.71999e-06 [specialize_transform]: 1.976e-05 [updatestate_useless_node_eliminater]: 7.463e-05 [accelerated_algorithm]: 1.506e-05 [meta_shard_fg_expand]: 3.4e-06 [get_grad_eliminate_]: 1.316e-05 [merge_forward]: 7.7e-06 [cell_reuse_recompute_pass]: 1.25001e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.09e-05 [j_node_and_user_rematch]: 2.325e-05 [meta_fg_expand]: 0.00014594 [replace_old_param]: 2.195e-05 [inline_without_move]: 1.367e-05 [renormalize]: 0.00221994 [add_forward_monad_depend]: 8.59998e-06 [auto_monad_grad]: 3.16999e-06 [auto_monad_eliminator]: 3.165e-05 [cse]: 0.00011117 [replace_applicator]: 3.047e-05 [Cycle 3]: 0.00156451, [27] [switch_simplify]: 1.455e-05 [loop_unroll]: 1.368e-05 [a_1]: 0.00041808 [with_stream_mark]: 2.344e-05 [recompute_prepare]: 1.483e-05 [updatestate_depend_eliminate]: 5.191e-05 [updatestate_assign_eliminate]: 6.12999e-06 [updatestate_loads_eliminate]: 5.29e-06 [parameter_eliminate]: 2.63e-06 [specialize_transform]: 1.283e-05 [updatestate_useless_node_eliminater]: 1.689e-05 [accelerated_algorithm]: 1.251e-05 [meta_shard_fg_expand]: 2.76e-06 [get_grad_eliminate_]: 1.046e-05 [merge_forward]: 6.20002e-06 [cell_reuse_recompute_pass]: 3.25e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.438e-05 [j_node_and_user_rematch]: 1.76e-05 [meta_fg_expand]: 4.32e-06 [replace_old_param]: 1.576e-05 [inline_without_move]: 1.079e-05 [renormalize]: 0.00062891 [add_forward_monad_depend]: 5.29e-06 [auto_monad_grad]: 2.19001e-06 [auto_monad_eliminator]: 1.92e-05 [cse]: 3.581e-05 [replace_applicator]: 1.834e-05 [Cycle 4]: 0.00064686, [27] [switch_simplify]: 1.16e-05 [loop_unroll]: 1.11e-05 [a_1]: 0.00025726 [with_stream_mark]: 1.141e-05 [recompute_prepare]: 2.985e-05 [updatestate_depend_eliminate]: 7.15e-06 [updatestate_assign_eliminate]: 5.17e-06 [updatestate_loads_eliminate]: 4.47998e-06 [parameter_eliminate]: 1.48002e-06 [specialize_transform]: 1.3e-05 [updatestate_useless_node_eliminater]: 1.543e-05 [accelerated_algorithm]: 1.081e-05 [meta_shard_fg_expand]: 2.39999e-06 [get_grad_eliminate_]: 9.97001e-06 [merge_forward]: 5.57001e-06 [cell_reuse_recompute_pass]: 1.39e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.071e-05 [j_node_and_user_rematch]: 1.669e-05 [meta_fg_expand]: 3.36999e-06 [replace_old_param]: 1.241e-05 [inline_without_move]: 9.82999e-06 [renormalize]: 7.00238e-08 [add_forward_monad_depend]: 1.67999e-06 [auto_monad_grad]: 8.70001e-07 [auto_monad_eliminator]: 1.362e-05 [cse]: 2.614e-05 [replace_applicator]: 1.122e-05 [py_interpret_to_execute_after_opt_a]: 1.602e-05 [rewriter_after_opt_a]: 0.00022792 [convert_after_rewriter]: 1.197e-05 [order_py_execute_after_rewriter]: 6.79999e-06 [mutable_eliminate]: 0.00088018 [jit_opt_b]: 8.57e-05, [1] [Cycle 1]: 7.718e-05, [2] [frontend_op_eliminate]: 3.409e-05 [inline_after_opt_a]: 3.007e-05 [cconv]: 2.877e-05 [loop_unroll]: 0.00051823 [jit_opt_after_cconv]: 0.00024782, [1] [Cycle 1]: 0.00024024, [11] [c_1]: 6.679e-05 [parameter_eliminate]: 2.68e-06 [updatestate_depend_eliminate]: 9.31e-06 [updatestate_assign_eliminate]: 6.61e-06 [updatestate_loads_eliminate]: 4.82e-06 [cse]: 3.8e-05 [call_graph_tuple_transform]: 2.922e-05 [tuple_list_get_item_eliminator]: 1.179e-05 [none_parameter_eliminate]: 1.57999e-06 [renormalize]: 4.30009e-07 [switch_simplify]: 1.111e-05 [remove_dup_value]: 5.267e-05 [partial_unused_args_eliminate]: 2.36e-06 [environ_conv]: 1.061e-05 [add_recomputation]: 8.152e-05 [cse_after_recomputation]: 3.628e-05, [1] [Cycle 1]: 2.913e-05, [1] [cse]: 2.142e-05 [auto_monad_reorder]: 3.856e-05 [get_jit_bprop_graph]: 1.66002e-06 [rewriter_after_jit_bprop_graph]: 6.66999e-06 [opt_after_jit_grad]: 0.000639 [symbol_engine_optimizer]: 0.00011809, [1] [Cycle 1]: 0.00011115, [6] [build]: 5.93002e-06 [elim_shapecalc]: 1.437e-05 [elim_not_effective]: 2.525e-05 [opt_reshape]: 1.285e-05 [fold_const_symbol]: 1.914e-05 [renormalize]: 3.19997e-07 [validate]: 6.603e-05 Sums bootstrap : 0.000332s : 0.03% type_inference : 0.809487s : 71.89% event_method : 0.000509s : 0.05% auto_monad : 0.000292s : 0.03% graph_reusing : 0.000011s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000066s : 0.01% rewriter_before_opt_a : 0.000160s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000344s : 0.03% jit_opt_a.loop_unroll : 0.000180s : 0.02% jit_opt_a.a_1 : 0.005871s : 0.52% jit_opt_a.with_stream_mark : 0.000114s : 0.01% jit_opt_a.recompute_prepare : 0.000110s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000086s : 0.01% jit_opt_a.updatestate_assign_eliminate : 0.000036s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000032s : 0.00% jit_opt_a.parameter_eliminate : 0.000011s : 0.00% jit_opt_a.specialize_transform : 0.000068s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000133s : 0.01% jit_opt_a.accelerated_algorithm : 0.000059s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000014s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000054s : 0.00% jit_opt_a.merge_forward : 0.000031s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000007s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000119s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000094s : 0.01% jit_opt_a.meta_fg_expand : 0.057729s : 5.13% jit_opt_a.replace_old_param : 0.000183s : 0.02% jit_opt_a.inline_without_move : 0.000166s : 0.01% jit_opt_a.renormalize : 0.245808s : 21.83% jit_opt_a.add_forward_monad_depend : 0.000040s : 0.00% jit_opt_a.auto_monad_grad : 0.000020s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000185s : 0.02% jit_opt_a.cse : 0.000456s : 0.04% jit_opt_a.replace_applicator : 0.000304s : 0.03% py_interpret_to_execute_after_opt_a : 0.000016s : 0.00% rewriter_after_opt_a : 0.000228s : 0.02% convert_after_rewriter : 0.000012s : 0.00% order_py_execute_after_rewriter : 0.000007s : 0.00% mutable_eliminate : 0.000880s : 0.08% jit_opt_b.frontend_op_eliminate : 0.000034s : 0.00% jit_opt_b.inline_after_opt_a : 0.000030s : 0.00% cconv : 0.000029s : 0.00% loop_unroll : 0.000518s : 0.05% jit_opt_after_cconv.c_1 : 0.000067s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.cse : 0.000038s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000029s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000012s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000011s : 0.00% remove_dup_value : 0.000053s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000011s : 0.00% add_recomputation : 0.000082s : 0.01% cse_after_recomputation.cse : 0.000021s : 0.00% auto_monad_reorder : 0.000039s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000639s : 0.06% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000014s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000025s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000013s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000019s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000066s : 0.01% Time group info: ------[substitution.] 0.002550 271 1.51% : 0.000038s : 12: substitution.depend_value_elim 0.14% : 0.000004s : 5: substitution.elim_not_effective 0.10% : 0.000003s : 5: substitution.fold_const_symbol 30.00% : 0.000765s : 4: substitution.getattr_setattr_resolve 0.32% : 0.000008s : 8: substitution.graph_param_transform 49.54% : 0.001263s : 29: substitution.inline 1.50% : 0.000038s : 4: substitution.inline_without_move 0.71% : 0.000018s : 29: substitution.j_node_and_user_rematch 0.93% : 0.000024s : 13: substitution.minmaximum_grad 0.56% : 0.000014s : 14: substitution.partial_eliminate 0.97% : 0.000025s : 29: substitution.remove_not_recompute_node 2.57% : 0.000065s : 16: substitution.replace_applicator 0.73% : 0.000018s : 17: substitution.replace_old_param 0.30% : 0.000008s : 2: substitution.set_cell_output_no_recompute 0.58% : 0.000015s : 3: substitution.switch_simplify 1.72% : 0.000044s : 13: substitution.tuple_list_convert_item_index_to_positive 1.20% : 0.000031s : 13: substitution.tuple_list_get_item_depend_reorder 3.67% : 0.000094s : 30: substitution.tuple_list_get_item_eliminator 0.84% : 0.000021s : 9: substitution.updatestate_pure_node_eliminater 2.13% : 0.000054s : 16: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.809346 2 99.55% : 0.805675s : 1: type_inference.infer 0.45% : 0.003671s : 1: type_inference.specialize ------[replace.] 0.000790 54 8.43% : 0.000067s : 3: replace.getattr_setattr_resolve 48.94% : 0.000386s : 29: replace.inline 6.89% : 0.000054s : 1: replace.replace_applicator 9.40% : 0.000074s : 3: replace.switch_simplify 22.22% : 0.000175s : 17: replace.tuple_list_get_item_eliminator 4.12% : 0.000033s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.002043 54 35.07% : 0.000717s : 3: match.getattr_setattr_resolve 60.93% : 0.001245s : 29: match.inline 0.69% : 0.000014s : 1: match.replace_applicator 0.64% : 0.000013s : 3: match.switch_simplify 2.05% : 0.000042s : 17: match.tuple_list_get_item_eliminator 0.63% : 0.000013s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.000888 6048 1.57% : 0.000014s : 101: predicate.accumulaten_eliminater 0.32% : 0.000003s : 7: predicate.ad_related_special_op_eliminate 1.39% : 0.000012s : 101: predicate.addn_check_dump 1.58% : 0.000014s : 101: predicate.addn_zero_filter 1.97% : 0.000017s : 101: predicate.arithmetic_simplify 1.54% : 0.000014s : 101: predicate.cast_eliminate 0.13% : 0.000001s : 8: predicate.check_bprop_eliminate 1.51% : 0.000013s : 101: predicate.compare_switch_simplify 1.50% : 0.000013s : 101: predicate.depend_value_elim 1.43% : 0.000013s : 101: predicate.dict_get_item_const_eliminator 1.48% : 0.000013s : 101: predicate.dict_get_item_eliminator 1.56% : 0.000014s : 101: predicate.dict_set_item_eliminator 0.21% : 0.000002s : 7: predicate.dumpgradient_eliminate 0.08% : 0.000001s : 7: predicate.elim_not_effective 0.16% : 0.000001s : 7: predicate.elim_shapecalc_of_broadcastargs 1.43% : 0.000013s : 101: predicate.environ_add_const_eliminate 1.52% : 0.000014s : 101: predicate.environ_get_add_eliminate 1.42% : 0.000013s : 101: predicate.environ_get_depend_swap 1.45% : 0.000013s : 101: predicate.environ_get_eliminate 1.47% : 0.000013s : 101: predicate.environ_get_set_eliminate 0.06% : 0.000001s : 7: predicate.fold_const_symbol 0.78% : 0.000007s : 44: predicate.get_grad_eliminate 0.74% : 0.000007s : 20: predicate.getattr_setattr_resolve 0.09% : 0.000001s : 8: predicate.graph_param_transform 4.28% : 0.000038s : 163: predicate.inline 2.14% : 0.000019s : 105: predicate.inline_without_move 0.37% : 0.000003s : 44: predicate.j_node_and_user_rematch 0.89% : 0.000008s : 44: predicate.less_batch_normalization 1.78% : 0.000016s : 118: predicate.list_to_tuple_eliminator_ 2.05% : 0.000018s : 126: predicate.load_eliminater 0.30% : 0.000003s : 8: predicate.loop_unroll_after_grad 2.97% : 0.000026s : 187: predicate.loop_unroll_before_grad 1.70% : 0.000015s : 109: predicate.make_slice_get_slice_eliminator 1.37% : 0.000012s : 101: predicate.merge_addn 1.46% : 0.000013s : 101: predicate.minmaximum_grad 0.31% : 0.000003s : 8: predicate.mutable_eliminate 0.18% : 0.000002s : 7: predicate.opt_reshape 2.39% : 0.000021s : 126: predicate.partial_eliminate 1.57% : 0.000014s : 101: predicate.print_const_string_wrapper 1.88% : 0.000017s : 101: predicate.reduce_eliminate 1.74% : 0.000015s : 118: predicate.redundant_stop_gradient_eliminater 0.48% : 0.000004s : 44: predicate.remove_not_recompute_node 2.79% : 0.000025s : 243: predicate.replace_applicator 1.06% : 0.000009s : 105: predicate.replace_old_param 0.10% : 0.000001s : 8: predicate.reset_defer_inline 1.62% : 0.000014s : 101: predicate.reshape_eliminate 1.48% : 0.000013s : 101: predicate.row_tensor_add_zeros_like 0.20% : 0.000002s : 8: predicate.row_tensor_eliminate 1.54% : 0.000014s : 101: predicate.same_eliminate 0.60% : 0.000005s : 52: predicate.set_cell_output_no_recompute 0.30% : 0.000003s : 15: predicate.special_op_eliminate 1.02% : 0.000009s : 50: predicate.specialize_transform 1.82% : 0.000016s : 101: predicate.split_environ_get_set_with_tuple_value 1.64% : 0.000015s : 101: predicate.stack_unstack_eliminate 0.14% : 0.000001s : 8: predicate.switch_call_monad_eliminater 3.19% : 0.000028s : 147: predicate.switch_defer_inline 2.68% : 0.000024s : 147: predicate.switch_layer_defer_inline 6.04% : 0.000054s : 348: predicate.switch_simplify 1.59% : 0.000014s : 101: predicate.tile_eliminate 1.50% : 0.000013s : 101: predicate.transpose_eliminate 1.82% : 0.000016s : 101: predicate.tuple_list_convert_item_index_to_positive 1.61% : 0.000014s : 101: predicate.tuple_list_get_item_depend_reorder 3.18% : 0.000028s : 134: predicate.tuple_list_get_item_eliminator 1.83% : 0.000016s : 101: predicate.tuple_list_set_item_eliminator 1.83% : 0.000016s : 118: predicate.tuple_to_list_eliminator_ 1.97% : 0.000017s : 126: predicate.updatestate_pure_node_eliminater 3.04% : 0.000027s : 172: predicate.updatestate_useless_node_eliminater 1.84% : 0.000016s : 101: predicate.value_based_eliminate 0.10% : 0.000001s : 7: predicate.virtual_view_grad_eliminate 0.18% : 0.000002s : 8: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.008951 91 75.91% : 0.006795s : 54: func_graph_cloner_run.FuncGraphClonerGraph 3.98% : 0.000356s : 7: func_graph_cloner_run.FuncGraphClonerNode 20.12% : 0.001801s : 30: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.385690 104 0.01% : 0.000085s : 1: add_recomputation 0.02% : 0.000303s : 1: auto_monad 0.00% : 0.000042s : 1: auto_monad_reorder 0.03% : 0.000364s : 1: bootstrap 0.00% : 0.000031s : 1: cconv 0.00% : 0.000015s : 1: convert_after_rewriter 0.00% : 0.000039s : 1: cse_after_recomputation 0.00% : 0.000013s : 1: environ_conv 0.04% : 0.000521s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000004s : 1: get_jit_bprop_graph 0.00% : 0.000014s : 1: graph_reusing 22.88% : 0.317027s : 1: jit_opt_a 0.02% : 0.000251s : 1: jit_opt_after_cconv 0.01% : 0.000089s : 1: jit_opt_b 0.04% : 0.000528s : 1: loop_unroll 0.06% : 0.000892s : 1: mutable_eliminate 0.55% : 0.007604s : 52: opt.transform.jit_opt_a 0.01% : 0.000114s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000057s : 4: opt.transform.jit_opt_b 0.00% : 0.000020s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000022s : 1: opt.transform.mutable_eliminate 0.00% : 0.000042s : 1: opt.transform.opt_after_jit_grad 0.06% : 0.000894s : 2: opt.transform.opt_resolve 0.00% : 0.000067s : 4: opt.transform.symbol_engine_opt 0.05% : 0.000649s : 1: opt_after_jit_grad 0.00% : 0.000009s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000007s : 1: pre_auto_parallel 0.01% : 0.000070s : 1: py_interpret_to_execute 0.00% : 0.000019s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000056s : 1: remove_dup_value 5.36% : 0.074262s : 3: renormalize.infer 12.38% : 0.171510s : 3: renormalize.specialize 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000232s : 1: rewriter_after_opt_a 0.01% : 0.000163s : 1: rewriter_before_opt_a 0.01% : 0.000121s : 1: symbol_engine_optimizer 58.42% : 0.809533s : 1: type_inference . [hook] pytest_runtest_teardown:test_permute_reverse_dims[KBK] tests/st/mint/test_permute.py::test_permute_reverse_dims[KBK],max_mem:4.0M =============================== warnings summary =============================== ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222: DeprecationWarning: invalid escape sequence \B """ ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170: DeprecationWarning: invalid escape sequence \c """ ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perlayer") -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 2 passed, 25 warnings in 286.85s (0:04:46) ==================