==================================================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_006/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_squeeze.py . [hook] pytest_runtest_teardown:test_squeeze_empty_tensor[pynative] tests/st/mint/test_squeeze.py::test_squeeze_empty_tensor[pynative],max_mem:2.0M [WARNING] PARSER(170630,ffffb0c7cf30,python3.9):2026-01-29-17:41:12.216.210 [mindspore/ccsrc/frontend/jit/ps/parse/data_converter.cc:661] CheckAPI] The mint interface squeeze was called, and the operators under this interface have different view capabilities on pynative and graph mode. Use this interface with caution in graph mode, as it may produce unexpected results. For more information, please refer to: https://www.mindspore.cn/docs/en/master/features/view.html TotalTime = 8.29454, [30] [bootstrap]: 0.00946173 [type_inference]: 8.10122 [event_method]: 2.516e-05 [auto_monad]: 0.00014111 [graph_reusing]: 7.53999e-06 [pre_auto_parallel]: 1.306e-05 [py_interpret_to_execute]: 0.163849 [rewriter_before_opt_a]: 0.00015009 [expand_dump_flag]: 5.87001e-06 [jit_opt_a]: 0.013979, [2] [Cycle 1]: 0.00421055, [27] [switch_simplify]: 7.566e-05 [loop_unroll]: 2.964e-05 [a_1]: 0.00061705 [with_stream_mark]: 3.138e-05 [recompute_prepare]: 1.208e-05 [updatestate_depend_eliminate]: 5.44998e-06 [updatestate_assign_eliminate]: 3.39001e-06 [updatestate_loads_eliminate]: 3.39001e-06 [parameter_eliminate]: 1.93002e-06 [specialize_transform]: 8.08001e-06 [updatestate_useless_node_eliminater]: 7.06999e-06 [accelerated_algorithm]: 7.36999e-06 [meta_shard_fg_expand]: 2.49001e-06 [get_grad_eliminate_]: 7.48e-06 [merge_forward]: 4.49002e-06 [cell_reuse_recompute_pass]: 1.13001e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.34e-05 [j_node_and_user_rematch]: 1.245e-05 [meta_fg_expand]: 3.26001e-06 [replace_old_param]: 1.209e-05 [inline_without_move]: 7.77e-06 [renormalize]: 0.00294763 [add_forward_monad_depend]: 1.81e-05 [auto_monad_grad]: 3.30998e-06 [auto_monad_eliminator]: 2.514e-05 [cse]: 3.708e-05 [replace_applicator]: 2.742e-05 [Cycle 2]: 0.0006389, [27] [switch_simplify]: 8.65001e-06 [loop_unroll]: 1.129e-05 [a_1]: 0.00016462 [with_stream_mark]: 2.213e-05 [recompute_prepare]: 9.34e-06 [updatestate_depend_eliminate]: 4.67e-06 [updatestate_assign_eliminate]: 5.46998e-06 [updatestate_loads_eliminate]: 3.71001e-06 [parameter_eliminate]: 2.32001e-06 [specialize_transform]: 9.84999e-06 [updatestate_useless_node_eliminater]: 7.61999e-06 [accelerated_algorithm]: 8.58001e-06 [meta_shard_fg_expand]: 2.69999e-06 [get_grad_eliminate_]: 6.52001e-06 [merge_forward]: 4.84e-06 [cell_reuse_recompute_pass]: 2.69999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.088e-05 [j_node_and_user_rematch]: 1.191e-05 [meta_fg_expand]: 2.63e-06 [replace_old_param]: 1.153e-05 [inline_without_move]: 7.33e-06 [renormalize]: 6.00121e-08 [add_forward_monad_depend]: 2.53e-06 [auto_monad_grad]: 2.19999e-06 [auto_monad_eliminator]: 1.169e-05 [cse]: 2.248e-05 [replace_applicator]: 9.72001e-06 [py_interpret_to_execute_after_opt_a]: 2.014e-05 [rewriter_after_opt_a]: 5.887e-05 [convert_after_rewriter]: 2.361e-05 [order_py_execute_after_rewriter]: 6.02001e-06 [mutable_eliminate]: 0.00086307 [jit_opt_b]: 0.00013758, [1] [Cycle 1]: 6.823e-05, [2] [frontend_op_eliminate]: 2.754e-05 [inline_after_opt_a]: 2.31e-05 [cconv]: 4.377e-05 [loop_unroll]: 0.00053893 [jit_opt_after_cconv]: 0.00024993, [1] [Cycle 1]: 0.00024186, [11] [c_1]: 3.309e-05 [parameter_eliminate]: 6.27001e-06 [updatestate_depend_eliminate]: 1.29e-05 [updatestate_assign_eliminate]: 5.80002e-06 [updatestate_loads_eliminate]: 3.99002e-06 [cse]: 3.73e-05 [call_graph_tuple_transform]: 3.045e-05 [tuple_list_get_item_eliminator]: 8e-06 [none_parameter_eliminate]: 2.62001e-06 [renormalize]: 7.50006e-07 [switch_simplify]: 7.45998e-06 [remove_dup_value]: 1.803e-05 [partial_unused_args_eliminate]: 2.81999e-06 [environ_conv]: 2.851e-05 [add_recomputation]: 6.617e-05 [cse_after_recomputation]: 2.826e-05, [1] [Cycle 1]: 2.079e-05, [1] [cse]: 1.374e-05 [auto_monad_reorder]: 2.547e-05 [get_jit_bprop_graph]: 2.55002e-06 [rewriter_after_jit_bprop_graph]: 0.00018612 [opt_after_jit_grad]: 0.00068261 [symbol_engine_optimizer]: 9.625e-05, [1] [Cycle 1]: 8.838e-05, [6] [build]: 6.21998e-06 [elim_shapecalc]: 1.06e-05 [elim_not_effective]: 1.877e-05 [opt_reshape]: 8.37998e-06 [fold_const_symbol]: 1.091e-05 [renormalize]: 5.49975e-07 [validate]: 8.502e-05 Sums bootstrap : 0.009462s : 0.11% type_inference : 8.101216s : 97.82% event_method : 0.000025s : 0.00% auto_monad : 0.000141s : 0.00% graph_reusing : 0.000008s : 0.00% pre_auto_parallel : 0.000013s : 0.00% py_interpret_to_execute : 0.163849s : 1.98% rewriter_before_opt_a : 0.000150s : 0.00% expand_dump_flag : 0.000006s : 0.00% jit_opt_a.switch_simplify : 0.000084s : 0.00% jit_opt_a.loop_unroll : 0.000041s : 0.00% jit_opt_a.a_1 : 0.000782s : 0.01% jit_opt_a.with_stream_mark : 0.000054s : 0.00% jit_opt_a.recompute_prepare : 0.000021s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000009s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000007s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000018s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000015s : 0.00% jit_opt_a.accelerated_algorithm : 0.000016s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000014s : 0.00% jit_opt_a.merge_forward : 0.000009s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000064s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000024s : 0.00% jit_opt_a.meta_fg_expand : 0.000006s : 0.00% jit_opt_a.replace_old_param : 0.000024s : 0.00% jit_opt_a.inline_without_move : 0.000015s : 0.00% jit_opt_a.renormalize : 0.002948s : 0.04% jit_opt_a.add_forward_monad_depend : 0.000021s : 0.00% jit_opt_a.auto_monad_grad : 0.000006s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000037s : 0.00% jit_opt_a.cse : 0.000060s : 0.00% jit_opt_a.replace_applicator : 0.000037s : 0.00% py_interpret_to_execute_after_opt_a : 0.000020s : 0.00% rewriter_after_opt_a : 0.000059s : 0.00% convert_after_rewriter : 0.000024s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000863s : 0.01% jit_opt_b.frontend_op_eliminate : 0.000028s : 0.00% jit_opt_b.inline_after_opt_a : 0.000023s : 0.00% cconv : 0.000044s : 0.00% loop_unroll : 0.000539s : 0.01% jit_opt_after_cconv.c_1 : 0.000033s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 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 : 0.000004s : 0.00% jit_opt_after_cconv.cse : 0.000037s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000030s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000029s : 0.00% add_recomputation : 0.000066s : 0.00% cse_after_recomputation.cse : 0.000014s : 0.00% auto_monad_reorder : 0.000025s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000186s : 0.00% opt_after_jit_grad : 0.000683s : 0.01% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000019s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000008s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000085s : 0.00% Time group info: ------[substitution.] 0.000251 23 1.15% : 0.000003s : 2: substitution.elim_not_effective 0.62% : 0.000002s : 2: substitution.fold_const_symbol 3.01% : 0.000008s : 4: substitution.graph_param_transform 76.33% : 0.000192s : 4: substitution.inline 1.94% : 0.000005s : 4: substitution.j_node_and_user_rematch 9.51% : 0.000024s : 4: substitution.remove_not_recompute_node 3.02% : 0.000008s : 2: substitution.replace_old_param 4.41% : 0.000011s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 8.101094 2 99.96% : 8.098120s : 1: type_inference.infer 0.04% : 0.002974s : 1: type_inference.specialize ------[replace.] 0.000059 5 84.72% : 0.000050s : 4: replace.inline 15.28% : 0.000009s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000199 5 94.83% : 0.000189s : 4: match.inline 5.17% : 0.000010s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000178 801 1.28% : 0.000002s : 12: predicate.accumulaten_eliminater 1.37% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 1.01% : 0.000002s : 12: predicate.addn_check_dump 1.31% : 0.000002s : 12: predicate.addn_zero_filter 1.90% : 0.000003s : 12: predicate.arithmetic_simplify 1.14% : 0.000002s : 12: predicate.cast_eliminate 0.42% : 0.000001s : 4: predicate.check_bprop_eliminate 1.04% : 0.000002s : 12: predicate.compare_switch_simplify 1.04% : 0.000002s : 12: predicate.depend_value_elim 1.31% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.17% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.23% : 0.000002s : 12: predicate.dict_set_item_eliminator 1.11% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.55% : 0.000001s : 4: predicate.elim_not_effective 0.60% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.05% : 0.000002s : 12: predicate.environ_add_const_eliminate 1.00% : 0.000002s : 12: predicate.environ_get_add_eliminate 0.96% : 0.000002s : 12: predicate.environ_get_depend_swap 1.14% : 0.000002s : 12: predicate.environ_get_eliminate 1.00% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.25% : 0.000000s : 4: predicate.fold_const_symbol 1.00% : 0.000002s : 8: predicate.get_grad_eliminate 0.25% : 0.000000s : 4: predicate.graph_param_transform 5.92% : 0.000011s : 25: predicate.inline 1.18% : 0.000002s : 8: predicate.inline_without_move 0.47% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.24% : 0.000002s : 8: predicate.less_batch_normalization 1.23% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.66% : 0.000003s : 17: predicate.load_eliminater 1.63% : 0.000003s : 4: predicate.loop_unroll_after_grad 3.38% : 0.000006s : 28: predicate.loop_unroll_before_grad 2.16% : 0.000004s : 16: predicate.make_slice_get_slice_eliminator 0.96% : 0.000002s : 12: predicate.merge_addn 1.15% : 0.000002s : 12: predicate.minmaximum_grad 1.97% : 0.000003s : 4: predicate.mutable_eliminate 0.55% : 0.000001s : 4: predicate.opt_reshape 2.13% : 0.000004s : 17: predicate.partial_eliminate 1.44% : 0.000003s : 12: predicate.print_const_string_wrapper 1.58% : 0.000003s : 12: predicate.reduce_eliminate 1.41% : 0.000003s : 13: predicate.redundant_stop_gradient_eliminater 0.81% : 0.000001s : 8: predicate.remove_not_recompute_node 2.10% : 0.000004s : 21: predicate.replace_applicator 0.65% : 0.000001s : 8: predicate.replace_old_param 0.48% : 0.000001s : 4: predicate.reset_defer_inline 1.19% : 0.000002s : 12: predicate.reshape_eliminate 1.08% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 1.13% : 0.000002s : 4: predicate.row_tensor_eliminate 1.15% : 0.000002s : 12: predicate.same_eliminate 0.63% : 0.000001s : 8: predicate.set_cell_output_no_recompute 0.99% : 0.000002s : 8: predicate.special_op_eliminate 1.13% : 0.000002s : 8: predicate.specialize_transform 1.84% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 1.15% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.56% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.03% : 0.000004s : 17: predicate.switch_defer_inline 1.87% : 0.000003s : 17: predicate.switch_layer_defer_inline 6.79% : 0.000012s : 49: predicate.switch_simplify 1.11% : 0.000002s : 12: predicate.tile_eliminate 1.32% : 0.000002s : 12: predicate.transpose_eliminate 1.44% : 0.000003s : 12: predicate.tuple_list_convert_item_index_to_positive 1.27% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 3.64% : 0.000006s : 21: predicate.tuple_list_get_item_eliminator 1.41% : 0.000003s : 12: predicate.tuple_list_set_item_eliminator 2.24% : 0.000004s : 13: predicate.tuple_to_list_eliminator_ 1.63% : 0.000003s : 17: predicate.updatestate_pure_node_eliminater 2.72% : 0.000005s : 25: predicate.updatestate_useless_node_eliminater 1.95% : 0.000003s : 12: predicate.value_based_eliminate 0.36% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 2.12% : 0.000004s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003814 18 79.43% : 0.003030s : 12: func_graph_cloner_run.FuncGraphClonerGraph 20.57% : 0.000785s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 8.296447 72 0.00% : 0.000070s : 1: add_recomputation 0.00% : 0.000147s : 1: auto_monad 0.00% : 0.000028s : 1: auto_monad_reorder 0.11% : 0.009505s : 1: bootstrap 0.00% : 0.000047s : 1: cconv 0.00% : 0.000027s : 1: convert_after_rewriter 0.00% : 0.000031s : 1: cse_after_recomputation 0.00% : 0.000031s : 1: environ_conv 0.00% : 0.000033s : 1: event_method 0.00% : 0.000009s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000010s : 1: graph_reusing 0.17% : 0.013984s : 1: jit_opt_a 0.00% : 0.000253s : 1: jit_opt_after_cconv 0.00% : 0.000142s : 1: jit_opt_b 0.01% : 0.000551s : 1: loop_unroll 0.01% : 0.000882s : 1: mutable_eliminate 0.01% : 0.001101s : 26: opt.transform.jit_opt_a 0.00% : 0.000074s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000041s : 4: opt.transform.jit_opt_b 0.00% : 0.000019s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000024s : 1: opt.transform.mutable_eliminate 0.00% : 0.000033s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000045s : 4: opt.transform.symbol_engine_opt 0.01% : 0.000697s : 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% : 0.000016s : 1: pre_auto_parallel 1.98% : 0.163887s : 1: py_interpret_to_execute 0.00% : 0.000023s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000021s : 1: remove_dup_value 0.02% : 0.002035s : 1: renormalize.infer 0.01% : 0.000899s : 1: renormalize.specialize 0.00% : 0.000191s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000063s : 1: rewriter_after_opt_a 0.00% : 0.000159s : 1: rewriter_before_opt_a 0.00% : 0.000100s : 1: symbol_engine_optimizer 97.65% : 8.101249s : 1: type_inference TotalTime = 1.97908, [30] [bootstrap]: 0.00050981 [type_inference]: 1.74809 [event_method]: 0.00088598 [auto_monad]: 0.00019462 [graph_reusing]: 1.187e-05 [pre_auto_parallel]: 4.43001e-06 [py_interpret_to_execute]: 5.684e-05 [rewriter_before_opt_a]: 0.00018797 [expand_dump_flag]: 4.84e-06 [jit_opt_a]: 0.226262, [2] [Cycle 1]: 0.0402549, [27] [switch_simplify]: 0.00026219 [loop_unroll]: 6.948e-05 [a_1]: 0.00158785 [with_stream_mark]: 4.263e-05 [recompute_prepare]: 3.254e-05 [updatestate_depend_eliminate]: 1.05e-05 [updatestate_assign_eliminate]: 7.53e-06 [updatestate_loads_eliminate]: 7.05e-06 [parameter_eliminate]: 3.23e-06 [specialize_transform]: 1.97e-05 [updatestate_useless_node_eliminater]: 1.653e-05 [accelerated_algorithm]: 1.644e-05 [meta_shard_fg_expand]: 5.72001e-06 [get_grad_eliminate_]: 1.771e-05 [merge_forward]: 1.012e-05 [cell_reuse_recompute_pass]: 1.89e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.85e-05 [j_node_and_user_rematch]: 3.008e-05 [meta_fg_expand]: 0.0306052 [replace_old_param]: 9.25e-05 [inline_without_move]: 7.895e-05 [renormalize]: 0.00686707 [add_forward_monad_depend]: 1.493e-05 [auto_monad_grad]: 2.85998e-06 [auto_monad_eliminator]: 1.896e-05 [cse]: 3.029e-05 [replace_applicator]: 2.244e-05 [Cycle 2]: 0.00052661, [27] [switch_simplify]: 6.80998e-06 [loop_unroll]: 6.04001e-06 [a_1]: 5.973e-05 [with_stream_mark]: 1.407e-05 [recompute_prepare]: 4.3e-06 [updatestate_depend_eliminate]: 3.53999e-06 [updatestate_assign_eliminate]: 2.81e-06 [updatestate_loads_eliminate]: 2.53e-06 [parameter_eliminate]: 1.87999e-06 [specialize_transform]: 4.65999e-06 [updatestate_useless_node_eliminater]: 4.49002e-06 [accelerated_algorithm]: 4.16001e-06 [meta_shard_fg_expand]: 3.03e-06 [get_grad_eliminate_]: 4.38001e-06 [merge_forward]: 3.97998e-06 [cell_reuse_recompute_pass]: 2.95002e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.831e-05 [j_node_and_user_rematch]: 8.13001e-06 [meta_fg_expand]: 0.00014493 [replace_old_param]: 6.34999e-06 [inline_without_move]: 4.64998e-06 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 2.18998e-06 [auto_monad_grad]: 1.74e-06 [auto_monad_eliminator]: 4.677e-05 [cse]: 1.671e-05 [replace_applicator]: 6.11998e-06 [py_interpret_to_execute_after_opt_a]: 1.541e-05 [rewriter_after_opt_a]: 0.00036642 [convert_after_rewriter]: 1.151e-05 [order_py_execute_after_rewriter]: 5.04e-06 [mutable_eliminate]: 0.00076855 [jit_opt_b]: 5.321e-05, [1] [Cycle 1]: 4.388e-05, [2] [frontend_op_eliminate]: 1.433e-05 [inline_after_opt_a]: 1.558e-05 [cconv]: 3e-05 [loop_unroll]: 0.00046963 [jit_opt_after_cconv]: 0.00014905, [1] [Cycle 1]: 0.00014133, [11] [c_1]: 1.627e-05 [parameter_eliminate]: 3.31001e-06 [updatestate_depend_eliminate]: 5.57001e-06 [updatestate_assign_eliminate]: 2.56e-06 [updatestate_loads_eliminate]: 2.61999e-06 [cse]: 2.061e-05 [call_graph_tuple_transform]: 1.677e-05 [tuple_list_get_item_eliminator]: 5.07999e-06 [none_parameter_eliminate]: 1.81e-06 [renormalize]: 6.89994e-07 [switch_simplify]: 5.54e-06 [remove_dup_value]: 1.655e-05 [partial_unused_args_eliminate]: 2.84001e-06 [environ_conv]: 6.54001e-06 [add_recomputation]: 4.128e-05 [cse_after_recomputation]: 2.221e-05, [1] [Cycle 1]: 1.617e-05, [1] [cse]: 9.04e-06 [auto_monad_reorder]: 1.488e-05 [get_jit_bprop_graph]: 2.59999e-06 [rewriter_after_jit_bprop_graph]: 5.32999e-06 [opt_after_jit_grad]: 0.00049073 [symbol_engine_optimizer]: 0.00010291, [1] [Cycle 1]: 9.596e-05, [6] [build]: 4.41002e-06 [elim_shapecalc]: 7.46999e-06 [elim_not_effective]: 1.121e-05 [opt_reshape]: 6.11e-06 [fold_const_symbol]: 9.34998e-06 [renormalize]: 4.39992e-07 [validate]: 3.811e-05 Sums bootstrap : 0.000510s : 0.03% type_inference : 1.748089s : 97.51% event_method : 0.000886s : 0.05% auto_monad : 0.000195s : 0.01% graph_reusing : 0.000012s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000057s : 0.00% rewriter_before_opt_a : 0.000188s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000269s : 0.02% jit_opt_a.loop_unroll : 0.000076s : 0.00% jit_opt_a.a_1 : 0.001648s : 0.09% jit_opt_a.with_stream_mark : 0.000057s : 0.00% jit_opt_a.recompute_prepare : 0.000037s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000014s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000010s : 0.00% jit_opt_a.parameter_eliminate : 0.000005s : 0.00% jit_opt_a.specialize_transform : 0.000024s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000021s : 0.00% jit_opt_a.accelerated_algorithm : 0.000021s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000009s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000022s : 0.00% jit_opt_a.merge_forward : 0.000014s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000057s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000038s : 0.00% jit_opt_a.meta_fg_expand : 0.030750s : 1.72% jit_opt_a.replace_old_param : 0.000099s : 0.01% jit_opt_a.inline_without_move : 0.000084s : 0.00% jit_opt_a.renormalize : 0.006867s : 0.38% jit_opt_a.add_forward_monad_depend : 0.000017s : 0.00% jit_opt_a.auto_monad_grad : 0.000005s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000066s : 0.00% jit_opt_a.cse : 0.000047s : 0.00% jit_opt_a.replace_applicator : 0.000029s : 0.00% py_interpret_to_execute_after_opt_a : 0.000015s : 0.00% rewriter_after_opt_a : 0.000366s : 0.02% convert_after_rewriter : 0.000012s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000769s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000014s : 0.00% jit_opt_b.inline_after_opt_a : 0.000016s : 0.00% cconv : 0.000030s : 0.00% loop_unroll : 0.000470s : 0.03% jit_opt_after_cconv.c_1 : 0.000016s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000021s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000017s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000005s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000006s : 0.00% remove_dup_value : 0.000017s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000007s : 0.00% add_recomputation : 0.000041s : 0.00% cse_after_recomputation.cse : 0.000009s : 0.00% auto_monad_reorder : 0.000015s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000491s : 0.03% symbol_engine_optimizer.build : 0.000004s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000007s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000011s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000006s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000009s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000038s : 0.00% Time group info: ------[substitution.] 0.000512 65 0.39% : 0.000002s : 1: substitution.elim_not_effective 0.40% : 0.000002s : 1: substitution.fold_const_symbol 1.01% : 0.000005s : 1: substitution.graph_param_transform 71.90% : 0.000368s : 13: substitution.inline 6.32% : 0.000032s : 2: substitution.inline_without_move 1.66% : 0.000009s : 9: substitution.j_node_and_user_rematch 0.86% : 0.000004s : 2: substitution.minmaximum_grad 1.92% : 0.000010s : 9: substitution.partial_eliminate 1.92% : 0.000010s : 9: substitution.remove_not_recompute_node 0.70% : 0.000004s : 1: substitution.replace_applicator 1.43% : 0.000007s : 6: substitution.replace_old_param 1.03% : 0.000005s : 1: substitution.set_cell_output_no_recompute 3.88% : 0.000020s : 3: substitution.switch_simplify 1.87% : 0.000010s : 2: substitution.tuple_list_convert_item_index_to_positive 1.21% : 0.000006s : 2: substitution.tuple_list_get_item_depend_reorder 3.50% : 0.000018s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.747943 2 99.67% : 1.742122s : 1: type_inference.infer 0.33% : 0.005821s : 1: type_inference.specialize ------[replace.] 0.000201 17 56.87% : 0.000114s : 13: replace.inline 37.48% : 0.000075s : 3: replace.switch_simplify 5.65% : 0.000011s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000380 17 94.40% : 0.000359s : 13: match.inline 4.58% : 0.000017s : 3: match.switch_simplify 1.02% : 0.000004s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000305 1539 1.48% : 0.000004s : 26: predicate.accumulaten_eliminater 0.45% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.29% : 0.000004s : 26: predicate.addn_check_dump 1.87% : 0.000006s : 26: predicate.addn_zero_filter 1.81% : 0.000006s : 26: predicate.arithmetic_simplify 1.42% : 0.000004s : 26: predicate.cast_eliminate 0.10% : 0.000000s : 1: predicate.check_bprop_eliminate 1.35% : 0.000004s : 26: predicate.compare_switch_simplify 1.49% : 0.000005s : 26: predicate.depend_value_elim 1.36% : 0.000004s : 26: predicate.dict_get_item_const_eliminator 1.40% : 0.000004s : 26: predicate.dict_get_item_eliminator 1.35% : 0.000004s : 26: predicate.dict_set_item_eliminator 0.35% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.07% : 0.000000s : 1: predicate.elim_not_effective 0.22% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 1.33% : 0.000004s : 26: predicate.environ_add_const_eliminate 1.36% : 0.000004s : 26: predicate.environ_get_add_eliminate 1.31% : 0.000004s : 26: predicate.environ_get_depend_swap 1.44% : 0.000004s : 26: predicate.environ_get_eliminate 1.45% : 0.000004s : 26: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 1: predicate.fold_const_symbol 1.08% : 0.000003s : 13: predicate.get_grad_eliminate 0.05% : 0.000000s : 1: predicate.graph_param_transform 4.29% : 0.000013s : 42: predicate.inline 2.66% : 0.000008s : 35: predicate.inline_without_move 0.42% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.09% : 0.000003s : 13: predicate.less_batch_normalization 1.69% : 0.000005s : 27: predicate.list_to_tuple_eliminator_ 1.67% : 0.000005s : 28: predicate.load_eliminater 0.40% : 0.000001s : 1: predicate.loop_unroll_after_grad 4.21% : 0.000013s : 67: predicate.loop_unroll_before_grad 1.88% : 0.000006s : 27: predicate.make_slice_get_slice_eliminator 1.58% : 0.000005s : 26: predicate.merge_addn 1.31% : 0.000004s : 26: predicate.minmaximum_grad 0.68% : 0.000002s : 1: predicate.mutable_eliminate 0.17% : 0.000001s : 1: predicate.opt_reshape 2.29% : 0.000007s : 28: predicate.partial_eliminate 1.39% : 0.000004s : 26: predicate.print_const_string_wrapper 1.89% : 0.000006s : 26: predicate.reduce_eliminate 1.63% : 0.000005s : 27: predicate.redundant_stop_gradient_eliminater 0.64% : 0.000002s : 13: predicate.remove_not_recompute_node 1.60% : 0.000005s : 29: predicate.replace_applicator 1.64% : 0.000005s : 35: predicate.replace_old_param 0.08% : 0.000000s : 1: predicate.reset_defer_inline 1.40% : 0.000004s : 26: predicate.reshape_eliminate 1.43% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.27% : 0.000001s : 1: predicate.row_tensor_eliminate 1.50% : 0.000005s : 26: predicate.same_eliminate 0.62% : 0.000002s : 13: predicate.set_cell_output_no_recompute 0.32% : 0.000001s : 2: predicate.special_op_eliminate 1.08% : 0.000003s : 13: predicate.specialize_transform 1.63% : 0.000005s : 26: predicate.split_environ_get_set_with_tuple_value 1.50% : 0.000005s : 26: predicate.stack_unstack_eliminate 0.13% : 0.000000s : 1: predicate.switch_call_monad_eliminater 2.90% : 0.000009s : 40: predicate.switch_defer_inline 2.59% : 0.000008s : 40: predicate.switch_layer_defer_inline 7.67% : 0.000023s : 114: predicate.switch_simplify 1.66% : 0.000005s : 26: predicate.tile_eliminate 1.61% : 0.000005s : 26: predicate.transpose_eliminate 1.62% : 0.000005s : 26: predicate.tuple_list_convert_item_index_to_positive 1.62% : 0.000005s : 26: predicate.tuple_list_get_item_depend_reorder 2.87% : 0.000009s : 29: predicate.tuple_list_get_item_eliminator 1.87% : 0.000006s : 26: predicate.tuple_list_set_item_eliminator 1.60% : 0.000005s : 27: predicate.tuple_to_list_eliminator_ 1.83% : 0.000006s : 28: predicate.updatestate_pure_node_eliminater 2.93% : 0.000009s : 41: predicate.updatestate_useless_node_eliminater 1.75% : 0.000005s : 26: predicate.value_based_eliminate 0.10% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.20% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.032411 37 97.59% : 0.031629s : 21: func_graph_cloner_run.FuncGraphClonerGraph 2.41% : 0.000781s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.988330 72 0.00% : 0.000044s : 1: add_recomputation 0.01% : 0.000203s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.03% : 0.000543s : 1: bootstrap 0.00% : 0.000033s : 1: cconv 0.00% : 0.000015s : 1: convert_after_rewriter 0.00% : 0.000025s : 1: cse_after_recomputation 0.00% : 0.000009s : 1: environ_conv 0.05% : 0.000903s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000015s : 1: graph_reusing 11.38% : 0.226266s : 1: jit_opt_a 0.01% : 0.000152s : 1: jit_opt_after_cconv 0.00% : 0.000056s : 1: jit_opt_b 0.02% : 0.000478s : 1: loop_unroll 0.04% : 0.000778s : 1: mutable_eliminate 0.12% : 0.002372s : 26: opt.transform.jit_opt_a 0.00% : 0.000039s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000022s : 4: opt.transform.jit_opt_b 0.00% : 0.000011s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000015s : 1: opt.transform.mutable_eliminate 0.00% : 0.000020s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000030s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000499s : 1: opt_after_jit_grad 0.00% : 0.000007s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000007s : 1: pre_auto_parallel 0.00% : 0.000060s : 1: py_interpret_to_execute 0.00% : 0.000018s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000019s : 1: remove_dup_value 0.31% : 0.006076s : 1: renormalize.infer 0.04% : 0.000776s : 1: renormalize.specialize 0.00% : 0.000008s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000373s : 1: rewriter_after_opt_a 0.01% : 0.000192s : 1: rewriter_before_opt_a 0.01% : 0.000106s : 1: symbol_engine_optimizer 87.92% : 1.748126s : 1: type_inference TotalTime = 1.50695, [30] [bootstrap]: 0.00030813 [type_inference]: 1.49365 [event_method]: 2.677e-05 [auto_monad]: 8.708e-05 [graph_reusing]: 7.48e-06 [pre_auto_parallel]: 2.97002e-06 [py_interpret_to_execute]: 0.00069896 [rewriter_before_opt_a]: 0.0001079 [expand_dump_flag]: 4.72e-06 [jit_opt_a]: 0.00914042, [2] [Cycle 1]: 0.00440989, [27] [switch_simplify]: 6.873e-05 [loop_unroll]: 2.883e-05 [a_1]: 0.00064129 [with_stream_mark]: 3.222e-05 [recompute_prepare]: 1.249e-05 [updatestate_depend_eliminate]: 4.99e-06 [updatestate_assign_eliminate]: 3.53999e-06 [updatestate_loads_eliminate]: 3.70998e-06 [parameter_eliminate]: 2.47001e-06 [specialize_transform]: 9.24e-06 [updatestate_useless_node_eliminater]: 7.68001e-06 [accelerated_algorithm]: 7.51999e-06 [meta_shard_fg_expand]: 2.33998e-06 [get_grad_eliminate_]: 7.55e-06 [merge_forward]: 5.17999e-06 [cell_reuse_recompute_pass]: 1.25999e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.871e-05 [j_node_and_user_rematch]: 1.287e-05 [meta_fg_expand]: 3.68e-06 [replace_old_param]: 1.335e-05 [inline_without_move]: 7.97998e-06 [renormalize]: 0.00317083 [add_forward_monad_depend]: 1.147e-05 [auto_monad_grad]: 3.04999e-06 [auto_monad_eliminator]: 2.436e-05 [cse]: 3.831e-05 [replace_applicator]: 2.672e-05 [Cycle 2]: 0.00048213, [27] [switch_simplify]: 9.58002e-06 [loop_unroll]: 7.3e-06 [a_1]: 0.00015052 [with_stream_mark]: 1.964e-05 [recompute_prepare]: 7.43e-06 [updatestate_depend_eliminate]: 4.10998e-06 [updatestate_assign_eliminate]: 3.6e-06 [updatestate_loads_eliminate]: 3.18998e-06 [parameter_eliminate]: 1.89999e-06 [specialize_transform]: 6.95998e-06 [updatestate_useless_node_eliminater]: 7.24001e-06 [accelerated_algorithm]: 6.78e-06 [meta_shard_fg_expand]: 2.77002e-06 [get_grad_eliminate_]: 6.59001e-06 [merge_forward]: 4.60999e-06 [cell_reuse_recompute_pass]: 3.01001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.21e-05 [j_node_and_user_rematch]: 1.18e-05 [meta_fg_expand]: 2.99999e-06 [replace_old_param]: 1.183e-05 [inline_without_move]: 6.74001e-06 [renormalize]: 7.99773e-08 [add_forward_monad_depend]: 1.91e-06 [auto_monad_grad]: 1.49998e-06 [auto_monad_eliminator]: 8.83001e-06 [cse]: 1.723e-05 [replace_applicator]: 8.78001e-06 [py_interpret_to_execute_after_opt_a]: 1.756e-05 [rewriter_after_opt_a]: 4.625e-05 [convert_after_rewriter]: 9.00001e-06 [order_py_execute_after_rewriter]: 6.28e-06 [mutable_eliminate]: 0.00080345 [jit_opt_b]: 7.168e-05, [1] [Cycle 1]: 6.184e-05, [2] [frontend_op_eliminate]: 2.448e-05 [inline_after_opt_a]: 2.174e-05 [cconv]: 4.074e-05 [loop_unroll]: 0.000492 [jit_opt_after_cconv]: 0.00030263, [1] [Cycle 1]: 0.0002949, [11] [c_1]: 3.347e-05 [parameter_eliminate]: 3.70998e-06 [updatestate_depend_eliminate]: 7.16999e-06 [updatestate_assign_eliminate]: 2.73e-06 [updatestate_loads_eliminate]: 4.97e-06 [cse]: 2.786e-05 [call_graph_tuple_transform]: 2.706e-05 [tuple_list_get_item_eliminator]: 8.03999e-06 [none_parameter_eliminate]: 2.04999e-06 [renormalize]: 7.7e-07 [switch_simplify]: 9.76e-06 [remove_dup_value]: 1.922e-05 [partial_unused_args_eliminate]: 2.86999e-06 [environ_conv]: 1.132e-05 [add_recomputation]: 6.081e-05 [cse_after_recomputation]: 3.107e-05, [1] [Cycle 1]: 2.398e-05, [1] [cse]: 1.68e-05 [auto_monad_reorder]: 1.884e-05 [get_jit_bprop_graph]: 2.31e-06 [rewriter_after_jit_bprop_graph]: 8.54e-06 [opt_after_jit_grad]: 0.00056434 [symbol_engine_optimizer]: 0.00010073, [1] [Cycle 1]: 9.325e-05, [6] [build]: 5.52999e-06 [elim_shapecalc]: 1.196e-05 [elim_not_effective]: 1.809e-05 [opt_reshape]: 8.83001e-06 [fold_const_symbol]: 1.328e-05 [renormalize]: 8.70001e-07 [validate]: 5.682e-05 Sums bootstrap : 0.000308s : 0.02% type_inference : 1.493645s : 99.46% event_method : 0.000027s : 0.00% auto_monad : 0.000087s : 0.01% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000699s : 0.05% rewriter_before_opt_a : 0.000108s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000078s : 0.01% jit_opt_a.loop_unroll : 0.000036s : 0.00% jit_opt_a.a_1 : 0.000792s : 0.05% jit_opt_a.with_stream_mark : 0.000052s : 0.00% jit_opt_a.recompute_prepare : 0.000020s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000007s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000007s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000016s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000015s : 0.00% jit_opt_a.accelerated_algorithm : 0.000014s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000014s : 0.00% jit_opt_a.merge_forward : 0.000010s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000041s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000025s : 0.00% jit_opt_a.meta_fg_expand : 0.000007s : 0.00% jit_opt_a.replace_old_param : 0.000025s : 0.00% jit_opt_a.inline_without_move : 0.000015s : 0.00% jit_opt_a.renormalize : 0.003171s : 0.21% jit_opt_a.add_forward_monad_depend : 0.000013s : 0.00% jit_opt_a.auto_monad_grad : 0.000005s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000033s : 0.00% jit_opt_a.cse : 0.000056s : 0.00% jit_opt_a.replace_applicator : 0.000036s : 0.00% py_interpret_to_execute_after_opt_a : 0.000018s : 0.00% rewriter_after_opt_a : 0.000046s : 0.00% convert_after_rewriter : 0.000009s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000803s : 0.05% jit_opt_b.frontend_op_eliminate : 0.000024s : 0.00% jit_opt_b.inline_after_opt_a : 0.000022s : 0.00% cconv : 0.000041s : 0.00% loop_unroll : 0.000492s : 0.03% jit_opt_after_cconv.c_1 : 0.000033s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.cse : 0.000028s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000027s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 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 : 0.000003s : 0.00% environ_conv : 0.000011s : 0.00% add_recomputation : 0.000061s : 0.00% cse_after_recomputation.cse : 0.000017s : 0.00% auto_monad_reorder : 0.000019s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.000564s : 0.04% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000012s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000018s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000013s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000057s : 0.00% Time group info: ------[substitution.] 0.000243 23 0.99% : 0.000002s : 2: substitution.elim_not_effective 0.78% : 0.000002s : 2: substitution.fold_const_symbol 3.16% : 0.000008s : 4: substitution.graph_param_transform 82.83% : 0.000201s : 4: substitution.inline 2.18% : 0.000005s : 4: substitution.j_node_and_user_rematch 2.49% : 0.000006s : 4: substitution.remove_not_recompute_node 2.82% : 0.000007s : 2: substitution.replace_old_param 4.75% : 0.000012s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.493532 2 99.79% : 1.490462s : 1: type_inference.infer 0.21% : 0.003070s : 1: type_inference.specialize ------[replace.] 0.000060 5 84.31% : 0.000051s : 4: replace.inline 15.69% : 0.000009s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000209 5 94.95% : 0.000198s : 4: match.inline 5.05% : 0.000011s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000167 801 1.25% : 0.000002s : 12: predicate.accumulaten_eliminater 1.10% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 1.04% : 0.000002s : 12: predicate.addn_check_dump 1.22% : 0.000002s : 12: predicate.addn_zero_filter 2.38% : 0.000004s : 12: predicate.arithmetic_simplify 1.31% : 0.000002s : 12: predicate.cast_eliminate 0.47% : 0.000001s : 4: predicate.check_bprop_eliminate 1.03% : 0.000002s : 12: predicate.compare_switch_simplify 1.34% : 0.000002s : 12: predicate.depend_value_elim 1.08% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.24% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.31% : 0.000002s : 12: predicate.dict_set_item_eliminator 0.84% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.34% : 0.000001s : 4: predicate.elim_not_effective 0.68% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.09% : 0.000002s : 12: predicate.environ_add_const_eliminate 1.21% : 0.000002s : 12: predicate.environ_get_add_eliminate 1.11% : 0.000002s : 12: predicate.environ_get_depend_swap 1.43% : 0.000002s : 12: predicate.environ_get_eliminate 1.14% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.32% : 0.000001s : 4: predicate.fold_const_symbol 1.10% : 0.000002s : 8: predicate.get_grad_eliminate 0.29% : 0.000000s : 4: predicate.graph_param_transform 5.88% : 0.000010s : 25: predicate.inline 0.98% : 0.000002s : 8: predicate.inline_without_move 0.49% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.18% : 0.000002s : 8: predicate.less_batch_normalization 1.71% : 0.000003s : 13: predicate.list_to_tuple_eliminator_ 1.76% : 0.000003s : 17: predicate.load_eliminater 1.40% : 0.000002s : 4: predicate.loop_unroll_after_grad 3.24% : 0.000005s : 28: predicate.loop_unroll_before_grad 2.04% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.06% : 0.000002s : 12: predicate.merge_addn 1.15% : 0.000002s : 12: predicate.minmaximum_grad 1.56% : 0.000003s : 4: predicate.mutable_eliminate 0.59% : 0.000001s : 4: predicate.opt_reshape 2.16% : 0.000004s : 17: predicate.partial_eliminate 1.16% : 0.000002s : 12: predicate.print_const_string_wrapper 1.86% : 0.000003s : 12: predicate.reduce_eliminate 1.41% : 0.000002s : 13: predicate.redundant_stop_gradient_eliminater 0.86% : 0.000001s : 8: predicate.remove_not_recompute_node 2.07% : 0.000003s : 21: predicate.replace_applicator 0.78% : 0.000001s : 8: predicate.replace_old_param 0.82% : 0.000001s : 4: predicate.reset_defer_inline 1.47% : 0.000002s : 12: predicate.reshape_eliminate 1.25% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.72% : 0.000001s : 4: predicate.row_tensor_eliminate 1.19% : 0.000002s : 12: predicate.same_eliminate 0.64% : 0.000001s : 8: predicate.set_cell_output_no_recompute 1.16% : 0.000002s : 8: predicate.special_op_eliminate 1.05% : 0.000002s : 8: predicate.specialize_transform 1.38% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 1.31% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.49% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.03% : 0.000003s : 17: predicate.switch_defer_inline 1.80% : 0.000003s : 17: predicate.switch_layer_defer_inline 6.69% : 0.000011s : 49: predicate.switch_simplify 1.14% : 0.000002s : 12: predicate.tile_eliminate 1.22% : 0.000002s : 12: predicate.transpose_eliminate 1.44% : 0.000002s : 12: predicate.tuple_list_convert_item_index_to_positive 1.35% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 4.69% : 0.000008s : 21: predicate.tuple_list_get_item_eliminator 1.64% : 0.000003s : 12: predicate.tuple_list_set_item_eliminator 1.63% : 0.000003s : 13: predicate.tuple_to_list_eliminator_ 1.47% : 0.000002s : 17: predicate.updatestate_pure_node_eliminater 2.81% : 0.000005s : 25: predicate.updatestate_useless_node_eliminater 1.71% : 0.000003s : 12: predicate.value_based_eliminate 0.42% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.82% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.002409 18 64.60% : 0.001556s : 12: func_graph_cloner_run.FuncGraphClonerGraph 35.40% : 0.000853s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.511285 72 0.00% : 0.000064s : 1: add_recomputation 0.01% : 0.000091s : 1: auto_monad 0.00% : 0.000022s : 1: auto_monad_reorder 0.02% : 0.000338s : 1: bootstrap 0.00% : 0.000044s : 1: cconv 0.00% : 0.000012s : 1: convert_after_rewriter 0.00% : 0.000034s : 1: cse_after_recomputation 0.00% : 0.000014s : 1: environ_conv 0.00% : 0.000034s : 1: event_method 0.00% : 0.000008s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000010s : 1: graph_reusing 0.61% : 0.009144s : 1: jit_opt_a 0.02% : 0.000307s : 1: jit_opt_after_cconv 0.00% : 0.000075s : 1: jit_opt_b 0.03% : 0.000501s : 1: loop_unroll 0.05% : 0.000815s : 1: mutable_eliminate 0.07% : 0.001085s : 26: opt.transform.jit_opt_a 0.00% : 0.000074s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000039s : 4: opt.transform.jit_opt_b 0.00% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000018s : 1: opt.transform.mutable_eliminate 0.00% : 0.000029s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000047s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000574s : 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% : 0.000005s : 1: pre_auto_parallel 0.05% : 0.000713s : 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 0.15% : 0.002205s : 1: renormalize.infer 0.06% : 0.000951s : 1: renormalize.specialize 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000050s : 1: rewriter_after_opt_a 0.01% : 0.000114s : 1: rewriter_before_opt_a 0.01% : 0.000104s : 1: symbol_engine_optimizer 98.83% : 1.493674s : 1: type_inference TotalTime = 1.60593, [30] [bootstrap]: 0.00033531 [type_inference]: 1.40019 [event_method]: 0.00084471 [auto_monad]: 0.00021184 [graph_reusing]: 1.206e-05 [pre_auto_parallel]: 4.63001e-06 [py_interpret_to_execute]: 9.658e-05 [rewriter_before_opt_a]: 0.00020216 [expand_dump_flag]: 5.87999e-06 [jit_opt_a]: 0.200851, [2] [Cycle 1]: 0.196025, [27] [switch_simplify]: 0.00027908 [loop_unroll]: 6.98e-05 [a_1]: 0.00179369 [with_stream_mark]: 4.862e-05 [recompute_prepare]: 3.827e-05 [updatestate_depend_eliminate]: 1.123e-05 [updatestate_assign_eliminate]: 7.68999e-06 [updatestate_loads_eliminate]: 7.25e-06 [parameter_eliminate]: 4.68999e-06 [specialize_transform]: 1.914e-05 [updatestate_useless_node_eliminater]: 1.656e-05 [accelerated_algorithm]: 1.66e-05 [meta_shard_fg_expand]: 6.59999e-06 [get_grad_eliminate_]: 1.747e-05 [merge_forward]: 1.018e-05 [cell_reuse_recompute_pass]: 1.47001e-06 [cell_reuse_handle_not_recompute_node_pass]: 4.001e-05 [j_node_and_user_rematch]: 3.518e-05 [meta_fg_expand]: 0.186692 [replace_old_param]: 0.00011367 [inline_without_move]: 8.137e-05 [renormalize]: 0.00629378 [add_forward_monad_depend]: 9.42999e-06 [auto_monad_grad]: 2.78e-06 [auto_monad_eliminator]: 1.863e-05 [cse]: 3.432e-05 [replace_applicator]: 2.49e-05 [Cycle 2]: 0.0005196, [27] [switch_simplify]: 6.74999e-06 [loop_unroll]: 5.15001e-06 [a_1]: 6.157e-05 [with_stream_mark]: 1.434e-05 [recompute_prepare]: 5.07999e-06 [updatestate_depend_eliminate]: 3.98999e-06 [updatestate_assign_eliminate]: 2.99999e-06 [updatestate_loads_eliminate]: 2.86e-06 [parameter_eliminate]: 1.94999e-06 [specialize_transform]: 4.23999e-06 [updatestate_useless_node_eliminater]: 4.55001e-06 [accelerated_algorithm]: 4.58001e-06 [meta_shard_fg_expand]: 2.53e-06 [get_grad_eliminate_]: 4.43001e-06 [merge_forward]: 3.8e-06 [cell_reuse_recompute_pass]: 2.92002e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.928e-05 [j_node_and_user_rematch]: 7.66001e-06 [meta_fg_expand]: 0.00018028 [replace_old_param]: 8.12e-06 [inline_without_move]: 4.72e-06 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 2.27001e-06 [auto_monad_grad]: 1.57999e-06 [auto_monad_eliminator]: 6.23e-06 [cse]: 1.451e-05 [replace_applicator]: 4.76997e-06 [py_interpret_to_execute_after_opt_a]: 1.687e-05 [rewriter_after_opt_a]: 0.00038404 [convert_after_rewriter]: 1.349e-05 [order_py_execute_after_rewriter]: 5.37001e-06 [mutable_eliminate]: 0.00081329 [jit_opt_b]: 5.586e-05, [1] [Cycle 1]: 4.701e-05, [2] [frontend_op_eliminate]: 1.585e-05 [inline_after_opt_a]: 1.651e-05 [cconv]: 3.375e-05 [loop_unroll]: 0.0007156 [jit_opt_after_cconv]: 0.00014762, [1] [Cycle 1]: 0.00014098, [11] [c_1]: 1.776e-05 [parameter_eliminate]: 3.42997e-06 [updatestate_depend_eliminate]: 6.19999e-06 [updatestate_assign_eliminate]: 2.19001e-06 [updatestate_loads_eliminate]: 2.17001e-06 [cse]: 2.2e-05 [call_graph_tuple_transform]: 1.815e-05 [tuple_list_get_item_eliminator]: 5.22e-06 [none_parameter_eliminate]: 1.62001e-06 [renormalize]: 4.00003e-07 [switch_simplify]: 5.20999e-06 [remove_dup_value]: 1.676e-05 [partial_unused_args_eliminate]: 2.19001e-06 [environ_conv]: 6.39001e-06 [add_recomputation]: 4.244e-05 [cse_after_recomputation]: 2.372e-05, [1] [Cycle 1]: 1.528e-05, [1] [cse]: 8.47e-06 [auto_monad_reorder]: 1.513e-05 [get_jit_bprop_graph]: 2.37001e-06 [rewriter_after_jit_bprop_graph]: 6.51999e-06 [opt_after_jit_grad]: 0.00049089 [symbol_engine_optimizer]: 7.615e-05, [1] [Cycle 1]: 6.857e-05, [6] [build]: 3.75e-06 [elim_shapecalc]: 7.09001e-06 [elim_not_effective]: 1.237e-05 [opt_reshape]: 4.88001e-06 [fold_const_symbol]: 7.38e-06 [renormalize]: 4.69998e-07 [validate]: 4.005e-05 Sums bootstrap : 0.000335s : 0.02% type_inference : 1.400190s : 87.47% event_method : 0.000845s : 0.05% auto_monad : 0.000212s : 0.01% graph_reusing : 0.000012s : 0.00% pre_auto_parallel : 0.000005s : 0.00% py_interpret_to_execute : 0.000097s : 0.01% rewriter_before_opt_a : 0.000202s : 0.01% expand_dump_flag : 0.000006s : 0.00% jit_opt_a.switch_simplify : 0.000286s : 0.02% jit_opt_a.loop_unroll : 0.000075s : 0.00% jit_opt_a.a_1 : 0.001855s : 0.12% jit_opt_a.with_stream_mark : 0.000063s : 0.00% jit_opt_a.recompute_prepare : 0.000043s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000015s : 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 : 0.000007s : 0.00% jit_opt_a.specialize_transform : 0.000023s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000021s : 0.00% jit_opt_a.accelerated_algorithm : 0.000021s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000009s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000022s : 0.00% jit_opt_a.merge_forward : 0.000014s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000059s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000043s : 0.00% jit_opt_a.meta_fg_expand : 0.186872s : 11.67% jit_opt_a.replace_old_param : 0.000122s : 0.01% jit_opt_a.inline_without_move : 0.000086s : 0.01% jit_opt_a.renormalize : 0.006294s : 0.39% 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 : 0.000025s : 0.00% jit_opt_a.cse : 0.000049s : 0.00% jit_opt_a.replace_applicator : 0.000030s : 0.00% py_interpret_to_execute_after_opt_a : 0.000017s : 0.00% rewriter_after_opt_a : 0.000384s : 0.02% convert_after_rewriter : 0.000013s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000813s : 0.05% jit_opt_b.frontend_op_eliminate : 0.000016s : 0.00% jit_opt_b.inline_after_opt_a : 0.000017s : 0.00% cconv : 0.000034s : 0.00% loop_unroll : 0.000716s : 0.04% jit_opt_after_cconv.c_1 : 0.000018s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.cse : 0.000022s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000018s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000005s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000005s : 0.00% remove_dup_value : 0.000017s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000006s : 0.00% add_recomputation : 0.000042s : 0.00% cse_after_recomputation.cse : 0.000008s : 0.00% auto_monad_reorder : 0.000015s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000491s : 0.03% symbol_engine_optimizer.build : 0.000004s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000007s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000012s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000005s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000007s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000040s : 0.00% Time group info: ------[substitution.] 0.000701 65 0.29% : 0.000002s : 1: substitution.elim_not_effective 0.19% : 0.000001s : 1: substitution.fold_const_symbol 0.76% : 0.000005s : 1: substitution.graph_param_transform 78.44% : 0.000550s : 13: substitution.inline 4.67% : 0.000033s : 2: substitution.inline_without_move 1.25% : 0.000009s : 9: substitution.j_node_and_user_rematch 0.67% : 0.000005s : 2: substitution.minmaximum_grad 1.64% : 0.000011s : 9: substitution.partial_eliminate 1.32% : 0.000009s : 9: substitution.remove_not_recompute_node 0.50% : 0.000004s : 1: substitution.replace_applicator 1.22% : 0.000009s : 6: substitution.replace_old_param 0.78% : 0.000005s : 1: substitution.set_cell_output_no_recompute 2.90% : 0.000020s : 3: substitution.switch_simplify 1.58% : 0.000011s : 2: substitution.tuple_list_convert_item_index_to_positive 1.06% : 0.000007s : 2: substitution.tuple_list_get_item_depend_reorder 2.72% : 0.000019s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.400020 2 99.59% : 1.394326s : 1: type_inference.infer 0.41% : 0.005694s : 1: type_inference.specialize ------[replace.] 0.000245 17 57.93% : 0.000142s : 13: replace.inline 36.70% : 0.000090s : 3: replace.switch_simplify 5.37% : 0.000013s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000563 17 96.06% : 0.000541s : 13: match.inline 3.14% : 0.000018s : 3: match.switch_simplify 0.80% : 0.000005s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000305 1539 1.43% : 0.000004s : 26: predicate.accumulaten_eliminater 0.32% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.37% : 0.000004s : 26: predicate.addn_check_dump 1.32% : 0.000004s : 26: predicate.addn_zero_filter 2.07% : 0.000006s : 26: predicate.arithmetic_simplify 1.40% : 0.000004s : 26: predicate.cast_eliminate 0.10% : 0.000000s : 1: predicate.check_bprop_eliminate 1.48% : 0.000005s : 26: predicate.compare_switch_simplify 1.30% : 0.000004s : 26: predicate.depend_value_elim 1.24% : 0.000004s : 26: predicate.dict_get_item_const_eliminator 1.34% : 0.000004s : 26: predicate.dict_get_item_eliminator 1.30% : 0.000004s : 26: predicate.dict_set_item_eliminator 0.37% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.06% : 0.000000s : 1: predicate.elim_not_effective 0.18% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 1.33% : 0.000004s : 26: predicate.environ_add_const_eliminate 1.36% : 0.000004s : 26: predicate.environ_get_add_eliminate 1.29% : 0.000004s : 26: predicate.environ_get_depend_swap 1.40% : 0.000004s : 26: predicate.environ_get_eliminate 1.31% : 0.000004s : 26: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 1: predicate.fold_const_symbol 1.14% : 0.000003s : 13: predicate.get_grad_eliminate 0.18% : 0.000001s : 1: predicate.graph_param_transform 4.93% : 0.000015s : 42: predicate.inline 2.82% : 0.000009s : 35: predicate.inline_without_move 0.40% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.32% : 0.000004s : 13: predicate.less_batch_normalization 1.51% : 0.000005s : 27: predicate.list_to_tuple_eliminator_ 1.59% : 0.000005s : 28: predicate.load_eliminater 0.56% : 0.000002s : 1: predicate.loop_unroll_after_grad 4.35% : 0.000013s : 67: predicate.loop_unroll_before_grad 1.72% : 0.000005s : 27: predicate.make_slice_get_slice_eliminator 1.30% : 0.000004s : 26: predicate.merge_addn 1.42% : 0.000004s : 26: predicate.minmaximum_grad 0.74% : 0.000002s : 1: predicate.mutable_eliminate 0.11% : 0.000000s : 1: predicate.opt_reshape 2.07% : 0.000006s : 28: predicate.partial_eliminate 1.41% : 0.000004s : 26: predicate.print_const_string_wrapper 1.79% : 0.000005s : 26: predicate.reduce_eliminate 1.82% : 0.000006s : 27: predicate.redundant_stop_gradient_eliminater 0.62% : 0.000002s : 13: predicate.remove_not_recompute_node 1.41% : 0.000004s : 29: predicate.replace_applicator 1.75% : 0.000005s : 35: predicate.replace_old_param 0.26% : 0.000001s : 1: predicate.reset_defer_inline 1.37% : 0.000004s : 26: predicate.reshape_eliminate 1.42% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.28% : 0.000001s : 1: predicate.row_tensor_eliminate 1.57% : 0.000005s : 26: predicate.same_eliminate 0.49% : 0.000001s : 13: predicate.set_cell_output_no_recompute 0.28% : 0.000001s : 2: predicate.special_op_eliminate 1.03% : 0.000003s : 13: predicate.specialize_transform 1.67% : 0.000005s : 26: predicate.split_environ_get_set_with_tuple_value 1.34% : 0.000004s : 26: predicate.stack_unstack_eliminate 0.10% : 0.000000s : 1: predicate.switch_call_monad_eliminater 3.23% : 0.000010s : 40: predicate.switch_defer_inline 2.34% : 0.000007s : 40: predicate.switch_layer_defer_inline 9.01% : 0.000028s : 114: predicate.switch_simplify 1.35% : 0.000004s : 26: predicate.tile_eliminate 1.37% : 0.000004s : 26: predicate.transpose_eliminate 1.67% : 0.000005s : 26: predicate.tuple_list_convert_item_index_to_positive 1.65% : 0.000005s : 26: predicate.tuple_list_get_item_depend_reorder 3.03% : 0.000009s : 29: predicate.tuple_list_get_item_eliminator 1.79% : 0.000005s : 26: predicate.tuple_list_set_item_eliminator 1.44% : 0.000004s : 27: predicate.tuple_to_list_eliminator_ 1.65% : 0.000005s : 28: predicate.updatestate_pure_node_eliminater 2.54% : 0.000008s : 41: predicate.updatestate_useless_node_eliminater 1.74% : 0.000005s : 26: predicate.value_based_eliminate 0.10% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.29% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003869 37 80.09% : 0.003098s : 21: func_graph_cloner_run.FuncGraphClonerGraph 19.91% : 0.000770s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.614881 72 0.00% : 0.000046s : 1: add_recomputation 0.01% : 0.000223s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.02% : 0.000367s : 1: bootstrap 0.00% : 0.000037s : 1: cconv 0.00% : 0.000017s : 1: convert_after_rewriter 0.00% : 0.000026s : 1: cse_after_recomputation 0.00% : 0.000009s : 1: environ_conv 0.05% : 0.000860s : 1: event_method 0.00% : 0.000009s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000015s : 1: graph_reusing 12.44% : 0.200855s : 1: jit_opt_a 0.01% : 0.000151s : 1: jit_opt_after_cconv 0.00% : 0.000059s : 1: jit_opt_b 0.04% : 0.000726s : 1: loop_unroll 0.05% : 0.000824s : 1: mutable_eliminate 0.16% : 0.002630s : 26: opt.transform.jit_opt_a 0.00% : 0.000041s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000024s : 4: opt.transform.jit_opt_b 0.00% : 0.000013s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000033s : 1: opt.transform.mutable_eliminate 0.00% : 0.000018s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000028s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000499s : 1: opt_after_jit_grad 0.00% : 0.000008s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000007s : 1: pre_auto_parallel 0.01% : 0.000101s : 1: py_interpret_to_execute 0.00% : 0.000019s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000019s : 1: remove_dup_value 0.34% : 0.005443s : 1: renormalize.infer 0.05% : 0.000835s : 1: renormalize.specialize 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000391s : 1: rewriter_after_opt_a 0.01% : 0.000206s : 1: rewriter_before_opt_a 0.00% : 0.000079s : 1: symbol_engine_optimizer 86.71% : 1.400227s : 1: type_inference TotalTime = 1.60092, [30] [bootstrap]: 0.00028991 [type_inference]: 1.40193 [event_method]: 2.184e-05 [auto_monad]: 8.166e-05 [graph_reusing]: 6.41e-06 [pre_auto_parallel]: 2.59001e-06 [py_interpret_to_execute]: 0.00054923 [rewriter_before_opt_a]: 9.33e-05 [expand_dump_flag]: 3.74002e-06 [jit_opt_a]: 0.194579, [2] [Cycle 1]: 0.190088, [27] [switch_simplify]: 6.507e-05 [loop_unroll]: 2.815e-05 [a_1]: 0.00070114 [with_stream_mark]: 3.138e-05 [recompute_prepare]: 1.382e-05 [updatestate_depend_eliminate]: 4.88001e-06 [updatestate_assign_eliminate]: 3.86001e-06 [updatestate_loads_eliminate]: 3.83001e-06 [parameter_eliminate]: 2.51e-06 [specialize_transform]: 9.04e-06 [updatestate_useless_node_eliminater]: 7.08e-06 [accelerated_algorithm]: 8.35999e-06 [meta_shard_fg_expand]: 2.36e-06 [get_grad_eliminate_]: 8.35999e-06 [merge_forward]: 4.38999e-06 [cell_reuse_recompute_pass]: 1.60001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.959e-05 [j_node_and_user_rematch]: 1.365e-05 [meta_fg_expand]: 3.18e-06 [replace_old_param]: 1.315e-05 [inline_without_move]: 7.31999e-06 [renormalize]: 0.188765 [add_forward_monad_depend]: 1.424e-05 [auto_monad_grad]: 3.02002e-06 [auto_monad_eliminator]: 2.704e-05 [cse]: 4.003e-05 [replace_applicator]: 3.02e-05 [Cycle 2]: 0.0005354, [27] [switch_simplify]: 8.85999e-06 [loop_unroll]: 8e-06 [a_1]: 0.00015634 [with_stream_mark]: 2.012e-05 [recompute_prepare]: 7.82e-06 [updatestate_depend_eliminate]: 4.75001e-06 [updatestate_assign_eliminate]: 3.36999e-06 [updatestate_loads_eliminate]: 2.98e-06 [parameter_eliminate]: 1.89e-06 [specialize_transform]: 8.05999e-06 [updatestate_useless_node_eliminater]: 7.78001e-06 [accelerated_algorithm]: 7.04001e-06 [meta_shard_fg_expand]: 3.50998e-06 [get_grad_eliminate_]: 6.78998e-06 [merge_forward]: 5.09998e-06 [cell_reuse_recompute_pass]: 3.85e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.487e-05 [j_node_and_user_rematch]: 1.259e-05 [meta_fg_expand]: 3.25e-06 [replace_old_param]: 1.169e-05 [inline_without_move]: 6.96001e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.21e-06 [auto_monad_grad]: 1.92999e-06 [auto_monad_eliminator]: 1.069e-05 [cse]: 1.675e-05 [replace_applicator]: 1.063e-05 [py_interpret_to_execute_after_opt_a]: 2.266e-05 [rewriter_after_opt_a]: 4.882e-05 [convert_after_rewriter]: 8.87999e-06 [order_py_execute_after_rewriter]: 5.86e-06 [mutable_eliminate]: 0.00083774 [jit_opt_b]: 7.731e-05, [1] [Cycle 1]: 6.688e-05, [2] [frontend_op_eliminate]: 2.896e-05 [inline_after_opt_a]: 2.237e-05 [cconv]: 3.688e-05 [loop_unroll]: 0.00055532 [jit_opt_after_cconv]: 0.00028877, [1] [Cycle 1]: 0.00027453, [11] [c_1]: 3.344e-05 [parameter_eliminate]: 6.04001e-06 [updatestate_depend_eliminate]: 1.371e-05 [updatestate_assign_eliminate]: 3.28e-06 [updatestate_loads_eliminate]: 2.52001e-06 [cse]: 9.211e-05 [call_graph_tuple_transform]: 3.181e-05 [tuple_list_get_item_eliminator]: 9.39e-06 [none_parameter_eliminate]: 2.27999e-06 [renormalize]: 3.29979e-07 [switch_simplify]: 8.97e-06 [remove_dup_value]: 2.321e-05 [partial_unused_args_eliminate]: 2.54999e-06 [environ_conv]: 1.666e-05 [add_recomputation]: 6.467e-05 [cse_after_recomputation]: 3.24e-05, [1] [Cycle 1]: 2.51e-05, [1] [cse]: 1.631e-05 [auto_monad_reorder]: 2.181e-05 [get_jit_bprop_graph]: 2.40002e-06 [rewriter_after_jit_bprop_graph]: 1.068e-05 [opt_after_jit_grad]: 0.00086445 [symbol_engine_optimizer]: 0.00011344, [1] [Cycle 1]: 0.00010466, [6] [build]: 6.67002e-06 [elim_shapecalc]: 1.353e-05 [elim_not_effective]: 2.284e-05 [opt_reshape]: 9.59999e-06 [fold_const_symbol]: 1.274e-05 [renormalize]: 1.00999e-06 [validate]: 6.664e-05 Sums bootstrap : 0.000290s : 0.02% type_inference : 1.401934s : 87.83% event_method : 0.000022s : 0.00% auto_monad : 0.000082s : 0.01% graph_reusing : 0.000006s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000549s : 0.03% rewriter_before_opt_a : 0.000093s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000074s : 0.00% jit_opt_a.loop_unroll : 0.000036s : 0.00% jit_opt_a.a_1 : 0.000857s : 0.05% jit_opt_a.with_stream_mark : 0.000052s : 0.00% jit_opt_a.recompute_prepare : 0.000022s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000007s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000007s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000017s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000015s : 0.00% jit_opt_a.accelerated_algorithm : 0.000015s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000006s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000015s : 0.00% jit_opt_a.merge_forward : 0.000009s : 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 : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000026s : 0.00% jit_opt_a.meta_fg_expand : 0.000006s : 0.00% jit_opt_a.replace_old_param : 0.000025s : 0.00% jit_opt_a.inline_without_move : 0.000014s : 0.00% jit_opt_a.renormalize : 0.188765s : 11.83% jit_opt_a.add_forward_monad_depend : 0.000016s : 0.00% jit_opt_a.auto_monad_grad : 0.000005s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000038s : 0.00% jit_opt_a.cse : 0.000057s : 0.00% jit_opt_a.replace_applicator : 0.000041s : 0.00% py_interpret_to_execute_after_opt_a : 0.000023s : 0.00% rewriter_after_opt_a : 0.000049s : 0.00% convert_after_rewriter : 0.000009s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000838s : 0.05% jit_opt_b.frontend_op_eliminate : 0.000029s : 0.00% jit_opt_b.inline_after_opt_a : 0.000022s : 0.00% cconv : 0.000037s : 0.00% loop_unroll : 0.000555s : 0.03% jit_opt_after_cconv.c_1 : 0.000033s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000014s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000092s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000032s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000009s : 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 : 0.000009s : 0.00% remove_dup_value : 0.000023s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000017s : 0.00% add_recomputation : 0.000065s : 0.00% cse_after_recomputation.cse : 0.000016s : 0.00% auto_monad_reorder : 0.000022s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000011s : 0.00% opt_after_jit_grad : 0.000864s : 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 : 0.000023s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000010s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000013s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000067s : 0.00% Time group info: ------[substitution.] 0.000250 23 1.43% : 0.000004s : 2: substitution.elim_not_effective 0.66% : 0.000002s : 2: substitution.fold_const_symbol 3.13% : 0.000008s : 4: substitution.graph_param_transform 82.08% : 0.000205s : 4: substitution.inline 1.99% : 0.000005s : 4: substitution.j_node_and_user_rematch 3.03% : 0.000008s : 4: substitution.remove_not_recompute_node 2.81% : 0.000007s : 2: substitution.replace_old_param 4.87% : 0.000012s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.401839 2 99.79% : 1.398908s : 1: type_inference.infer 0.21% : 0.002930s : 1: type_inference.specialize ------[replace.] 0.000067 5 82.52% : 0.000055s : 4: replace.inline 17.48% : 0.000012s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000212 5 94.77% : 0.000201s : 4: match.inline 5.23% : 0.000011s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000229 801 0.93% : 0.000002s : 12: predicate.accumulaten_eliminater 0.97% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 1.09% : 0.000003s : 12: predicate.addn_check_dump 0.86% : 0.000002s : 12: predicate.addn_zero_filter 1.36% : 0.000003s : 12: predicate.arithmetic_simplify 0.90% : 0.000002s : 12: predicate.cast_eliminate 0.37% : 0.000001s : 4: predicate.check_bprop_eliminate 0.82% : 0.000002s : 12: predicate.compare_switch_simplify 1.02% : 0.000002s : 12: predicate.depend_value_elim 0.88% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 0.98% : 0.000002s : 12: predicate.dict_get_item_eliminator 0.78% : 0.000002s : 12: predicate.dict_set_item_eliminator 1.16% : 0.000003s : 4: predicate.dumpgradient_eliminate 0.36% : 0.000001s : 4: predicate.elim_not_effective 0.56% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 0.86% : 0.000002s : 12: predicate.environ_add_const_eliminate 0.84% : 0.000002s : 12: predicate.environ_get_add_eliminate 0.78% : 0.000002s : 12: predicate.environ_get_depend_swap 0.83% : 0.000002s : 12: predicate.environ_get_eliminate 0.88% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.20% : 0.000000s : 4: predicate.fold_const_symbol 1.01% : 0.000002s : 8: predicate.get_grad_eliminate 0.31% : 0.000001s : 4: predicate.graph_param_transform 4.03% : 0.000009s : 25: predicate.inline 0.93% : 0.000002s : 8: predicate.inline_without_move 0.37% : 0.000001s : 8: predicate.j_node_and_user_rematch 0.85% : 0.000002s : 8: predicate.less_batch_normalization 0.99% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.27% : 0.000003s : 17: predicate.load_eliminater 1.55% : 0.000004s : 4: predicate.loop_unroll_after_grad 2.25% : 0.000005s : 28: predicate.loop_unroll_before_grad 1.51% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 0.73% : 0.000002s : 12: predicate.merge_addn 0.81% : 0.000002s : 12: predicate.minmaximum_grad 2.21% : 0.000005s : 4: predicate.mutable_eliminate 0.35% : 0.000001s : 4: predicate.opt_reshape 1.61% : 0.000004s : 17: predicate.partial_eliminate 0.94% : 0.000002s : 12: predicate.print_const_string_wrapper 1.29% : 0.000003s : 12: predicate.reduce_eliminate 0.97% : 0.000002s : 13: predicate.redundant_stop_gradient_eliminater 0.49% : 0.000001s : 8: predicate.remove_not_recompute_node 1.59% : 0.000004s : 21: predicate.replace_applicator 0.59% : 0.000001s : 8: predicate.replace_old_param 0.27% : 0.000001s : 4: predicate.reset_defer_inline 0.95% : 0.000002s : 12: predicate.reshape_eliminate 0.94% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.79% : 0.000002s : 4: predicate.row_tensor_eliminate 1.24% : 0.000003s : 12: predicate.same_eliminate 0.77% : 0.000002s : 8: predicate.set_cell_output_no_recompute 0.85% : 0.000002s : 8: predicate.special_op_eliminate 0.73% : 0.000002s : 8: predicate.specialize_transform 1.22% : 0.000003s : 12: predicate.split_environ_get_set_with_tuple_value 1.11% : 0.000003s : 12: predicate.stack_unstack_eliminate 0.46% : 0.000001s : 4: predicate.switch_call_monad_eliminater 25.37% : 0.000058s : 17: predicate.switch_defer_inline 1.45% : 0.000003s : 17: predicate.switch_layer_defer_inline 4.94% : 0.000011s : 49: predicate.switch_simplify 0.92% : 0.000002s : 12: predicate.tile_eliminate 0.88% : 0.000002s : 12: predicate.transpose_eliminate 1.19% : 0.000003s : 12: predicate.tuple_list_convert_item_index_to_positive 0.96% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 3.00% : 0.000007s : 21: predicate.tuple_list_get_item_eliminator 1.19% : 0.000003s : 12: predicate.tuple_list_set_item_eliminator 0.98% : 0.000002s : 13: predicate.tuple_to_list_eliminator_ 1.29% : 0.000003s : 17: predicate.updatestate_pure_node_eliminater 2.40% : 0.000006s : 25: predicate.updatestate_useless_node_eliminater 1.13% : 0.000003s : 12: predicate.value_based_eliminate 0.30% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.54% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.002952 18 60.41% : 0.001784s : 12: func_graph_cloner_run.FuncGraphClonerGraph 39.59% : 0.001169s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.790943 72 0.00% : 0.000069s : 1: add_recomputation 0.00% : 0.000086s : 1: auto_monad 0.00% : 0.000025s : 1: auto_monad_reorder 0.02% : 0.000314s : 1: bootstrap 0.00% : 0.000040s : 1: cconv 0.00% : 0.000012s : 1: convert_after_rewriter 0.00% : 0.000035s : 1: cse_after_recomputation 0.00% : 0.000020s : 1: environ_conv 0.00% : 0.000028s : 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 10.86% : 0.194584s : 1: jit_opt_a 0.02% : 0.000293s : 1: jit_opt_after_cconv 0.00% : 0.000080s : 1: jit_opt_b 0.03% : 0.000567s : 1: loop_unroll 0.05% : 0.000854s : 1: mutable_eliminate 0.06% : 0.001158s : 26: opt.transform.jit_opt_a 0.00% : 0.000078s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000043s : 4: opt.transform.jit_opt_b 0.00% : 0.000021s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000025s : 1: opt.transform.mutable_eliminate 0.00% : 0.000043s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000053s : 4: opt.transform.symbol_engine_opt 0.05% : 0.000878s : 1: opt_after_jit_grad 0.00% : 0.000008s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pre_auto_parallel 0.03% : 0.000557s : 1: py_interpret_to_execute 0.00% : 0.000026s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000026s : 1: remove_dup_value 10.46% : 0.187378s : 1: renormalize.infer 0.08% : 0.001363s : 1: renormalize.specialize 0.00% : 0.000013s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000054s : 1: rewriter_after_opt_a 0.01% : 0.000100s : 1: rewriter_before_opt_a 0.01% : 0.000118s : 1: symbol_engine_optimizer 78.28% : 1.401964s : 1: type_inference TotalTime = 1.63503, [30] [bootstrap]: 0.00034153 [type_inference]: 1.40951 [event_method]: 0.000862 [auto_monad]: 0.0002529 [graph_reusing]: 1.22e-05 [pre_auto_parallel]: 4.60001e-06 [py_interpret_to_execute]: 0.00010387 [rewriter_before_opt_a]: 0.00019622 [expand_dump_flag]: 5.82001e-06 [jit_opt_a]: 0.220679, [2] [Cycle 1]: 0.215871, [27] [switch_simplify]: 0.00025934 [loop_unroll]: 0.00015445 [a_1]: 0.00172569 [with_stream_mark]: 4.622e-05 [recompute_prepare]: 3.509e-05 [updatestate_depend_eliminate]: 1.098e-05 [updatestate_assign_eliminate]: 7.49002e-06 [updatestate_loads_eliminate]: 7.76001e-06 [parameter_eliminate]: 3.93001e-06 [specialize_transform]: 2.057e-05 [updatestate_useless_node_eliminater]: 1.797e-05 [accelerated_algorithm]: 1.778e-05 [meta_shard_fg_expand]: 7.93999e-06 [get_grad_eliminate_]: 1.69e-05 [merge_forward]: 1.064e-05 [cell_reuse_recompute_pass]: 1.39998e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.692e-05 [j_node_and_user_rematch]: 3.285e-05 [meta_fg_expand]: 0.00238943 [replace_old_param]: 8.533e-05 [inline_without_move]: 7.23e-05 [renormalize]: 0.00631975 [add_forward_monad_depend]: 8.44998e-06 [auto_monad_grad]: 2.59001e-06 [auto_monad_eliminator]: 1.695e-05 [cse]: 3.419e-05 [replace_applicator]: 2.615e-05 [Cycle 2]: 0.00051936, [27] [switch_simplify]: 6.43998e-06 [loop_unroll]: 5.36002e-06 [a_1]: 6.233e-05 [with_stream_mark]: 1.529e-05 [recompute_prepare]: 4.47e-06 [updatestate_depend_eliminate]: 3.35e-06 [updatestate_assign_eliminate]: 2.94999e-06 [updatestate_loads_eliminate]: 2.24001e-06 [parameter_eliminate]: 1.84998e-06 [specialize_transform]: 4.75999e-06 [updatestate_useless_node_eliminater]: 4.58999e-06 [accelerated_algorithm]: 4.37998e-06 [meta_shard_fg_expand]: 2.36998e-06 [get_grad_eliminate_]: 4.73001e-06 [merge_forward]: 3.68999e-06 [cell_reuse_recompute_pass]: 3.06001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.813e-05 [j_node_and_user_rematch]: 9.63997e-06 [meta_fg_expand]: 0.00015959 [replace_old_param]: 2.23e-05 [inline_without_move]: 5.81e-06 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 2.81999e-06 [auto_monad_grad]: 1.42999e-06 [auto_monad_eliminator]: 7.25e-06 [cse]: 1.839e-05 [replace_applicator]: 4.71002e-06 [py_interpret_to_execute_after_opt_a]: 1.719e-05 [rewriter_after_opt_a]: 0.00039307 [convert_after_rewriter]: 1.34e-05 [order_py_execute_after_rewriter]: 5.67001e-06 [mutable_eliminate]: 0.0008001 [jit_opt_b]: 5.7e-05, [1] [Cycle 1]: 4.749e-05, [2] [frontend_op_eliminate]: 1.474e-05 [inline_after_opt_a]: 1.853e-05 [cconv]: 3.81e-05 [loop_unroll]: 0.000497 [jit_opt_after_cconv]: 0.00017332, [1] [Cycle 1]: 0.00016533, [11] [c_1]: 1.818e-05 [parameter_eliminate]: 5.50001e-06 [updatestate_depend_eliminate]: 8.82e-06 [updatestate_assign_eliminate]: 2.49999e-06 [updatestate_loads_eliminate]: 2.49001e-06 [cse]: 3.248e-05 [call_graph_tuple_transform]: 2.206e-05 [tuple_list_get_item_eliminator]: 4.98001e-06 [none_parameter_eliminate]: 1.82001e-06 [renormalize]: 6.40022e-07 [switch_simplify]: 5.92999e-06 [remove_dup_value]: 1.848e-05 [partial_unused_args_eliminate]: 2.79001e-06 [environ_conv]: 6.88e-06 [add_recomputation]: 4.781e-05 [cse_after_recomputation]: 2.664e-05, [1] [Cycle 1]: 1.889e-05, [1] [cse]: 1.103e-05 [auto_monad_reorder]: 1.616e-05 [get_jit_bprop_graph]: 2.70002e-06 [rewriter_after_jit_bprop_graph]: 7.6e-06 [opt_after_jit_grad]: 0.00052904 [symbol_engine_optimizer]: 8.379e-05, [1] [Cycle 1]: 7.586e-05, [6] [build]: 5.04e-06 [elim_shapecalc]: 7.81001e-06 [elim_not_effective]: 1.404e-05 [opt_reshape]: 5.80002e-06 [fold_const_symbol]: 8.33999e-06 [renormalize]: 8.50006e-07 [validate]: 4.19e-05 Sums bootstrap : 0.000342s : 0.02% type_inference : 1.409514s : 98.87% event_method : 0.000862s : 0.06% auto_monad : 0.000253s : 0.02% graph_reusing : 0.000012s : 0.00% pre_auto_parallel : 0.000005s : 0.00% py_interpret_to_execute : 0.000104s : 0.01% rewriter_before_opt_a : 0.000196s : 0.01% expand_dump_flag : 0.000006s : 0.00% jit_opt_a.switch_simplify : 0.000266s : 0.02% jit_opt_a.loop_unroll : 0.000160s : 0.01% jit_opt_a.a_1 : 0.001788s : 0.13% jit_opt_a.with_stream_mark : 0.000062s : 0.00% jit_opt_a.recompute_prepare : 0.000040s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000014s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000010s : 0.00% jit_opt_a.parameter_eliminate : 0.000006s : 0.00% jit_opt_a.specialize_transform : 0.000025s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000023s : 0.00% jit_opt_a.accelerated_algorithm : 0.000022s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000010s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000022s : 0.00% jit_opt_a.merge_forward : 0.000014s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000055s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000042s : 0.00% jit_opt_a.meta_fg_expand : 0.002549s : 0.18% jit_opt_a.replace_old_param : 0.000108s : 0.01% jit_opt_a.inline_without_move : 0.000078s : 0.01% jit_opt_a.renormalize : 0.006320s : 0.44% jit_opt_a.add_forward_monad_depend : 0.000011s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000024s : 0.00% jit_opt_a.cse : 0.000053s : 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 : 0.000393s : 0.03% convert_after_rewriter : 0.000013s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000800s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000015s : 0.00% jit_opt_b.inline_after_opt_a : 0.000019s : 0.00% cconv : 0.000038s : 0.00% loop_unroll : 0.000497s : 0.03% jit_opt_after_cconv.c_1 : 0.000018s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.cse : 0.000032s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000022s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000005s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000006s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000007s : 0.00% add_recomputation : 0.000048s : 0.00% cse_after_recomputation.cse : 0.000011s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000529s : 0.04% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000008s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000014s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000006s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000008s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000042s : 0.00% Time group info: ------[substitution.] 0.000595 65 0.34% : 0.000002s : 1: substitution.elim_not_effective 0.20% : 0.000001s : 1: substitution.fold_const_symbol 0.98% : 0.000006s : 1: substitution.graph_param_transform 76.81% : 0.000457s : 13: substitution.inline 4.27% : 0.000025s : 2: substitution.inline_without_move 1.51% : 0.000009s : 9: substitution.j_node_and_user_rematch 0.95% : 0.000006s : 2: substitution.minmaximum_grad 1.69% : 0.000010s : 9: substitution.partial_eliminate 1.59% : 0.000009s : 9: substitution.remove_not_recompute_node 0.51% : 0.000003s : 1: substitution.replace_applicator 1.26% : 0.000007s : 6: substitution.replace_old_param 0.91% : 0.000005s : 1: substitution.set_cell_output_no_recompute 2.74% : 0.000016s : 3: substitution.switch_simplify 1.82% : 0.000011s : 2: substitution.tuple_list_convert_item_index_to_positive 1.27% : 0.000008s : 2: substitution.tuple_list_get_item_depend_reorder 3.15% : 0.000019s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.409338 2 99.60% : 1.403765s : 1: type_inference.infer 0.40% : 0.005573s : 1: type_inference.specialize ------[replace.] 0.000222 17 55.42% : 0.000123s : 13: replace.inline 38.65% : 0.000086s : 3: replace.switch_simplify 5.93% : 0.000013s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000466 17 95.97% : 0.000448s : 13: match.inline 3.08% : 0.000014s : 3: match.switch_simplify 0.95% : 0.000004s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000337 1539 1.38% : 0.000005s : 26: predicate.accumulaten_eliminater 0.52% : 0.000002s : 1: predicate.ad_related_special_op_eliminate 1.21% : 0.000004s : 26: predicate.addn_check_dump 1.37% : 0.000005s : 26: predicate.addn_zero_filter 2.08% : 0.000007s : 26: predicate.arithmetic_simplify 1.37% : 0.000005s : 26: predicate.cast_eliminate 0.11% : 0.000000s : 1: predicate.check_bprop_eliminate 1.40% : 0.000005s : 26: predicate.compare_switch_simplify 1.35% : 0.000005s : 26: predicate.depend_value_elim 1.35% : 0.000005s : 26: predicate.dict_get_item_const_eliminator 1.37% : 0.000005s : 26: predicate.dict_get_item_eliminator 1.40% : 0.000005s : 26: predicate.dict_set_item_eliminator 0.23% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.12% : 0.000000s : 1: predicate.elim_not_effective 0.15% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 1.23% : 0.000004s : 26: predicate.environ_add_const_eliminate 1.35% : 0.000005s : 26: predicate.environ_get_add_eliminate 1.28% : 0.000004s : 26: predicate.environ_get_depend_swap 1.38% : 0.000005s : 26: predicate.environ_get_eliminate 1.21% : 0.000004s : 26: predicate.environ_get_set_eliminate 0.03% : 0.000000s : 1: predicate.fold_const_symbol 1.08% : 0.000004s : 13: predicate.get_grad_eliminate 0.05% : 0.000000s : 1: predicate.graph_param_transform 4.92% : 0.000017s : 42: predicate.inline 2.42% : 0.000008s : 35: predicate.inline_without_move 0.37% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.14% : 0.000004s : 13: predicate.less_batch_normalization 1.47% : 0.000005s : 27: predicate.list_to_tuple_eliminator_ 1.69% : 0.000006s : 28: predicate.load_eliminater 0.58% : 0.000002s : 1: predicate.loop_unroll_after_grad 10.26% : 0.000035s : 67: predicate.loop_unroll_before_grad 1.71% : 0.000006s : 27: predicate.make_slice_get_slice_eliminator 1.16% : 0.000004s : 26: predicate.merge_addn 1.34% : 0.000005s : 26: predicate.minmaximum_grad 0.59% : 0.000002s : 1: predicate.mutable_eliminate 0.16% : 0.000001s : 1: predicate.opt_reshape 1.85% : 0.000006s : 28: predicate.partial_eliminate 1.47% : 0.000005s : 26: predicate.print_const_string_wrapper 1.61% : 0.000005s : 26: predicate.reduce_eliminate 1.45% : 0.000005s : 27: predicate.redundant_stop_gradient_eliminater 0.47% : 0.000002s : 13: predicate.remove_not_recompute_node 1.31% : 0.000004s : 29: predicate.replace_applicator 1.39% : 0.000005s : 35: predicate.replace_old_param 0.19% : 0.000001s : 1: predicate.reset_defer_inline 1.37% : 0.000005s : 26: predicate.reshape_eliminate 1.36% : 0.000005s : 26: predicate.row_tensor_add_zeros_like 0.23% : 0.000001s : 1: predicate.row_tensor_eliminate 1.30% : 0.000004s : 26: predicate.same_eliminate 0.50% : 0.000002s : 13: predicate.set_cell_output_no_recompute 0.24% : 0.000001s : 2: predicate.special_op_eliminate 0.95% : 0.000003s : 13: predicate.specialize_transform 1.53% : 0.000005s : 26: predicate.split_environ_get_set_with_tuple_value 1.36% : 0.000005s : 26: predicate.stack_unstack_eliminate 0.14% : 0.000000s : 1: predicate.switch_call_monad_eliminater 2.78% : 0.000009s : 40: predicate.switch_defer_inline 2.41% : 0.000008s : 40: predicate.switch_layer_defer_inline 7.19% : 0.000024s : 114: predicate.switch_simplify 1.48% : 0.000005s : 26: predicate.tile_eliminate 1.25% : 0.000004s : 26: predicate.transpose_eliminate 1.86% : 0.000006s : 26: predicate.tuple_list_convert_item_index_to_positive 1.52% : 0.000005s : 26: predicate.tuple_list_get_item_depend_reorder 2.84% : 0.000010s : 29: predicate.tuple_list_get_item_eliminator 1.70% : 0.000006s : 26: predicate.tuple_list_set_item_eliminator 1.34% : 0.000005s : 27: predicate.tuple_to_list_eliminator_ 1.54% : 0.000005s : 28: predicate.updatestate_pure_node_eliminater 2.78% : 0.000009s : 41: predicate.updatestate_useless_node_eliminater 1.46% : 0.000005s : 26: predicate.value_based_eliminate 0.09% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.21% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.004011 37 80.19% : 0.003216s : 21: func_graph_cloner_run.FuncGraphClonerGraph 19.81% : 0.000795s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.643954 72 0.00% : 0.000051s : 1: add_recomputation 0.02% : 0.000267s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.02% : 0.000373s : 1: bootstrap 0.00% : 0.000041s : 1: cconv 0.00% : 0.000017s : 1: convert_after_rewriter 0.00% : 0.000029s : 1: cse_after_recomputation 0.00% : 0.000010s : 1: environ_conv 0.05% : 0.000880s : 1: event_method 0.00% : 0.000009s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000016s : 1: graph_reusing 13.42% : 0.220684s : 1: jit_opt_a 0.01% : 0.000177s : 1: jit_opt_after_cconv 0.00% : 0.000060s : 1: jit_opt_b 0.03% : 0.000509s : 1: loop_unroll 0.05% : 0.000812s : 1: mutable_eliminate 0.16% : 0.002582s : 26: opt.transform.jit_opt_a 0.00% : 0.000047s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000023s : 4: opt.transform.jit_opt_b 0.00% : 0.000014s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000019s : 1: opt.transform.mutable_eliminate 0.00% : 0.000021s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000031s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000541s : 1: opt_after_jit_grad 0.00% : 0.000008s : 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% : 0.000109s : 1: py_interpret_to_execute 0.00% : 0.000020s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000021s : 1: remove_dup_value 0.34% : 0.005561s : 1: renormalize.infer 0.05% : 0.000744s : 1: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000401s : 1: rewriter_after_opt_a 0.01% : 0.000201s : 1: rewriter_before_opt_a 0.01% : 0.000087s : 1: symbol_engine_optimizer 85.74% : 1.409542s : 1: type_inference . [hook] pytest_runtest_teardown:test_squeeze_empty_tensor[KBK] tests/st/mint/test_squeeze.py::test_squeeze_empty_tensor[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 275.69s (0:04:35) ==================