==================================================Ascend ============================= test session starts ============================== platform linux -- Python 3.9.19, pytest-6.2.5, py-1.11.0, pluggy-1.5.0 rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st/mint, configfile: ../../../../../../sault/virtual_test/virtualenv_004/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 2 items test_squeeze.py . [hook] pytest_runtest_teardown:test_squeeze_negative_dim[pynative] tests/st/mint/test_squeeze.py::test_squeeze_negative_dim[pynative],max_mem:2.0M [WARNING] PARSER(162003,ffffaf4bdf30,python3.9):2026-01-29-17:38:08.131.742 [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 = 1.31257, [30] [bootstrap]: 0.0005388 [type_inference]: 1.18683 [event_method]: 2.312e-05 [auto_monad]: 0.00012003 [graph_reusing]: 6.55002e-06 [pre_auto_parallel]: 1.129e-05 [py_interpret_to_execute]: 0.000648 [rewriter_before_opt_a]: 0.0001052 [expand_dump_flag]: 3.74002e-06 [jit_opt_a]: 0.107917, [2] [Cycle 1]: 0.0970441, [27] [switch_simplify]: 8.302e-05 [loop_unroll]: 2.725e-05 [a_1]: 0.00058779 [with_stream_mark]: 2.442e-05 [recompute_prepare]: 0.0911719 [updatestate_depend_eliminate]: 2.48e-05 [updatestate_assign_eliminate]: 4.12e-06 [updatestate_loads_eliminate]: 2.93e-06 [parameter_eliminate]: 9.18002e-06 [specialize_transform]: 2.311e-05 [updatestate_useless_node_eliminater]: 1.072e-05 [accelerated_algorithm]: 1.053e-05 [meta_shard_fg_expand]: 6.88e-06 [get_grad_eliminate_]: 9.34998e-06 [merge_forward]: 5.52001e-06 [cell_reuse_recompute_pass]: 3.3e-06 [cell_reuse_handle_not_recompute_node_pass]: 5.153e-05 [j_node_and_user_rematch]: 1.385e-05 [meta_fg_expand]: 4.13001e-06 [replace_old_param]: 1.555e-05 [inline_without_move]: 7.66999e-06 [renormalize]: 0.00451727 [add_forward_monad_depend]: 2.044e-05 [auto_monad_grad]: 3.01001e-06 [auto_monad_eliminator]: 2.207e-05 [cse]: 3.761e-05 [replace_applicator]: 2.329e-05 [Cycle 2]: 0.00041592, [27] [switch_simplify]: 7.7e-06 [loop_unroll]: 6.58e-06 [a_1]: 0.00013457 [with_stream_mark]: 1.69e-05 [recompute_prepare]: 7.01999e-06 [updatestate_depend_eliminate]: 3.95998e-06 [updatestate_assign_eliminate]: 3.06999e-06 [updatestate_loads_eliminate]: 3.30998e-06 [parameter_eliminate]: 1.44e-06 [specialize_transform]: 6.53e-06 [updatestate_useless_node_eliminater]: 6.30002e-06 [accelerated_algorithm]: 6.74001e-06 [meta_shard_fg_expand]: 2.36e-06 [get_grad_eliminate_]: 6.51e-06 [merge_forward]: 3.94002e-06 [cell_reuse_recompute_pass]: 2.37999e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.987e-05 [j_node_and_user_rematch]: 1.072e-05 [meta_fg_expand]: 2.30002e-06 [replace_old_param]: 1.03e-05 [inline_without_move]: 5.69e-06 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 1.02998e-06 [auto_monad_grad]: 6.59988e-07 [auto_monad_eliminator]: 5.79999e-06 [cse]: 1.53e-05 [replace_applicator]: 6.19001e-06 [py_interpret_to_execute_after_opt_a]: 1.701e-05 [rewriter_after_opt_a]: 7.12e-05 [convert_after_rewriter]: 7.91001e-06 [order_py_execute_after_rewriter]: 5.67999e-06 [mutable_eliminate]: 0.00082216 [jit_opt_b]: 9.044e-05, [1] [Cycle 1]: 5.969e-05, [2] [frontend_op_eliminate]: 2.349e-05 [inline_after_opt_a]: 2.105e-05 [cconv]: 3.45e-05 [loop_unroll]: 0.00053768 [jit_opt_after_cconv]: 0.00019522, [1] [Cycle 1]: 0.00018657, [11] [c_1]: 3.015e-05 [parameter_eliminate]: 4.25999e-06 [updatestate_depend_eliminate]: 1.004e-05 [updatestate_assign_eliminate]: 3.38999e-06 [updatestate_loads_eliminate]: 2.97002e-06 [cse]: 3.236e-05 [call_graph_tuple_transform]: 2.873e-05 [tuple_list_get_item_eliminator]: 7.6e-06 [none_parameter_eliminate]: 1.61002e-06 [renormalize]: 6.50005e-07 [switch_simplify]: 7.52002e-06 [remove_dup_value]: 1.746e-05 [partial_unused_args_eliminate]: 2.82002e-06 [environ_conv]: 8.37e-05 [add_recomputation]: 6.276e-05 [cse_after_recomputation]: 2.991e-05, [1] [Cycle 1]: 2.319e-05, [1] [cse]: 1.615e-05 [auto_monad_reorder]: 2.61e-05 [get_jit_bprop_graph]: 2.41998e-06 [rewriter_after_jit_bprop_graph]: 0.00013136 [opt_after_jit_grad]: 0.0135876 [symbol_engine_optimizer]: 0.00011467, [1] [Cycle 1]: 0.00010269, [6] [build]: 9.24e-06 [elim_shapecalc]: 1.095e-05 [elim_not_effective]: 2.623e-05 [opt_reshape]: 8.82e-06 [fold_const_symbol]: 1.2e-05 [renormalize]: 9.10019e-07 [validate]: 0.00014862 Sums bootstrap : 0.000539s : 0.04% type_inference : 1.186832s : 91.22% event_method : 0.000023s : 0.00% auto_monad : 0.000120s : 0.01% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000011s : 0.00% py_interpret_to_execute : 0.000648s : 0.05% rewriter_before_opt_a : 0.000105s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000091s : 0.01% jit_opt_a.loop_unroll : 0.000034s : 0.00% jit_opt_a.a_1 : 0.000722s : 0.06% jit_opt_a.with_stream_mark : 0.000041s : 0.00% jit_opt_a.recompute_prepare : 0.091179s : 7.01% jit_opt_a.updatestate_depend_eliminate : 0.000029s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000007s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000006s : 0.00% jit_opt_a.parameter_eliminate : 0.000011s : 0.00% jit_opt_a.specialize_transform : 0.000030s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000017s : 0.00% jit_opt_a.accelerated_algorithm : 0.000017s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000009s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000016s : 0.00% jit_opt_a.merge_forward : 0.000009s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000071s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000025s : 0.00% jit_opt_a.meta_fg_expand : 0.000006s : 0.00% jit_opt_a.replace_old_param : 0.000026s : 0.00% jit_opt_a.inline_without_move : 0.000013s : 0.00% jit_opt_a.renormalize : 0.004517s : 0.35% jit_opt_a.add_forward_monad_depend : 0.000021s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000028s : 0.00% jit_opt_a.cse : 0.000053s : 0.00% jit_opt_a.replace_applicator : 0.000029s : 0.00% py_interpret_to_execute_after_opt_a : 0.000017s : 0.00% rewriter_after_opt_a : 0.000071s : 0.01% convert_after_rewriter : 0.000008s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000822s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000023s : 0.00% jit_opt_b.inline_after_opt_a : 0.000021s : 0.00% cconv : 0.000034s : 0.00% loop_unroll : 0.000538s : 0.04% jit_opt_after_cconv.c_1 : 0.000030s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000010s : 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 : 0.000032s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000029s : 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 : 0.000008s : 0.00% remove_dup_value : 0.000017s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000084s : 0.01% add_recomputation : 0.000063s : 0.00% cse_after_recomputation.cse : 0.000016s : 0.00% auto_monad_reorder : 0.000026s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000131s : 0.01% opt_after_jit_grad : 0.013588s : 1.04% symbol_engine_optimizer.build : 0.000009s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000026s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000012s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000149s : 0.01% Time group info: ------[substitution.] 0.000251 23 1.36% : 0.000003s : 2: substitution.elim_not_effective 0.79% : 0.000002s : 2: substitution.fold_const_symbol 3.08% : 0.000008s : 4: substitution.graph_param_transform 76.66% : 0.000192s : 4: substitution.inline 2.33% : 0.000006s : 4: substitution.j_node_and_user_rematch 7.82% : 0.000020s : 4: substitution.remove_not_recompute_node 3.43% : 0.000009s : 2: substitution.replace_old_param 4.53% : 0.000011s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.186728 2 92.42% : 1.096811s : 1: type_inference.infer 7.58% : 0.089917s : 1: type_inference.specialize ------[replace.] 0.000062 5 83.11% : 0.000051s : 4: replace.inline 16.89% : 0.000010s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000200 5 94.71% : 0.000189s : 4: match.inline 5.29% : 0.000011s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000158 801 1.42% : 0.000002s : 12: predicate.accumulaten_eliminater 3.28% : 0.000005s : 4: predicate.ad_related_special_op_eliminate 0.99% : 0.000002s : 12: predicate.addn_check_dump 1.28% : 0.000002s : 12: predicate.addn_zero_filter 1.68% : 0.000003s : 12: predicate.arithmetic_simplify 1.33% : 0.000002s : 12: predicate.cast_eliminate 0.47% : 0.000001s : 4: predicate.check_bprop_eliminate 0.95% : 0.000001s : 12: predicate.compare_switch_simplify 1.15% : 0.000002s : 12: predicate.depend_value_elim 1.06% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.20% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.17% : 0.000002s : 12: predicate.dict_set_item_eliminator 2.76% : 0.000004s : 4: predicate.dumpgradient_eliminate 0.59% : 0.000001s : 4: predicate.elim_not_effective 0.58% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 0.98% : 0.000002s : 12: predicate.environ_add_const_eliminate 0.90% : 0.000001s : 12: predicate.environ_get_add_eliminate 1.21% : 0.000002s : 12: predicate.environ_get_depend_swap 1.26% : 0.000002s : 12: predicate.environ_get_eliminate 1.06% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.24% : 0.000000s : 4: predicate.fold_const_symbol 1.16% : 0.000002s : 8: predicate.get_grad_eliminate 0.35% : 0.000001s : 4: predicate.graph_param_transform 4.58% : 0.000007s : 25: predicate.inline 0.85% : 0.000001s : 8: predicate.inline_without_move 0.40% : 0.000001s : 8: predicate.j_node_and_user_rematch 2.12% : 0.000003s : 8: predicate.less_batch_normalization 1.18% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.40% : 0.000002s : 17: predicate.load_eliminater 1.50% : 0.000002s : 4: predicate.loop_unroll_after_grad 3.07% : 0.000005s : 28: predicate.loop_unroll_before_grad 1.97% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.01% : 0.000002s : 12: predicate.merge_addn 1.00% : 0.000002s : 12: predicate.minmaximum_grad 1.70% : 0.000003s : 4: predicate.mutable_eliminate 0.51% : 0.000001s : 4: predicate.opt_reshape 1.92% : 0.000003s : 17: predicate.partial_eliminate 1.20% : 0.000002s : 12: predicate.print_const_string_wrapper 1.76% : 0.000003s : 12: predicate.reduce_eliminate 1.33% : 0.000002s : 13: predicate.redundant_stop_gradient_eliminater 0.83% : 0.000001s : 8: predicate.remove_not_recompute_node 1.98% : 0.000003s : 21: predicate.replace_applicator 0.54% : 0.000001s : 8: predicate.replace_old_param 0.39% : 0.000001s : 4: predicate.reset_defer_inline 1.12% : 0.000002s : 12: predicate.reshape_eliminate 1.28% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.80% : 0.000001s : 4: predicate.row_tensor_eliminate 1.25% : 0.000002s : 12: predicate.same_eliminate 1.83% : 0.000003s : 8: predicate.set_cell_output_no_recompute 1.14% : 0.000002s : 8: predicate.special_op_eliminate 1.39% : 0.000002s : 8: predicate.specialize_transform 1.50% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 1.11% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.47% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.01% : 0.000003s : 17: predicate.switch_defer_inline 1.55% : 0.000002s : 17: predicate.switch_layer_defer_inline 6.25% : 0.000010s : 49: predicate.switch_simplify 1.28% : 0.000002s : 12: predicate.tile_eliminate 1.11% : 0.000002s : 12: predicate.transpose_eliminate 1.47% : 0.000002s : 12: predicate.tuple_list_convert_item_index_to_positive 1.20% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 4.36% : 0.000007s : 21: predicate.tuple_list_get_item_eliminator 1.64% : 0.000003s : 12: predicate.tuple_list_set_item_eliminator 1.32% : 0.000002s : 13: predicate.tuple_to_list_eliminator_ 1.52% : 0.000002s : 17: predicate.updatestate_pure_node_eliminater 2.83% : 0.000004s : 25: predicate.updatestate_useless_node_eliminater 2.14% : 0.000003s : 12: predicate.value_based_eliminate 0.39% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.72% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.142854 18 99.23% : 0.141755s : 12: func_graph_cloner_run.FuncGraphClonerGraph 0.77% : 0.001100s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.409197 72 0.00% : 0.000066s : 1: add_recomputation 0.01% : 0.000125s : 1: auto_monad 0.00% : 0.000029s : 1: auto_monad_reorder 0.04% : 0.000564s : 1: bootstrap 0.00% : 0.000037s : 1: cconv 0.00% : 0.000010s : 1: convert_after_rewriter 0.00% : 0.000032s : 1: cse_after_recomputation 0.01% : 0.000087s : 1: environ_conv 0.00% : 0.000028s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000009s : 1: graph_reusing 7.66% : 0.107922s : 1: jit_opt_a 0.01% : 0.000198s : 1: jit_opt_after_cconv 0.01% : 0.000094s : 1: jit_opt_b 0.04% : 0.000548s : 1: loop_unroll 0.06% : 0.000835s : 1: mutable_eliminate 6.54% : 0.092202s : 26: opt.transform.jit_opt_a 0.00% : 0.000069s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000036s : 4: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000018s : 1: opt.transform.mutable_eliminate 0.00% : 0.000059s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000053s : 4: opt.transform.symbol_engine_opt 0.97% : 0.013620s : 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% : 0.000013s : 1: pre_auto_parallel 0.05% : 0.000656s : 1: py_interpret_to_execute 0.00% : 0.000019s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 0.23% : 0.003175s : 1: renormalize.infer 0.09% : 0.001326s : 1: renormalize.specialize 0.01% : 0.000135s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000074s : 1: rewriter_after_opt_a 0.01% : 0.000112s : 1: rewriter_before_opt_a 0.01% : 0.000120s : 1: symbol_engine_optimizer 84.22% : 1.186864s : 1: type_inference TotalTime = 1.56303, [30] [bootstrap]: 0.00051892 [type_inference]: 1.34372 [event_method]: 0.00066332 [auto_monad]: 0.00026287 [graph_reusing]: 1.193e-05 [pre_auto_parallel]: 3.83001e-06 [py_interpret_to_execute]: 6e-05 [rewriter_before_opt_a]: 0.000177 [expand_dump_flag]: 4.85001e-06 [jit_opt_a]: 0.21439, [2] [Cycle 1]: 0.0127335, [27] [switch_simplify]: 0.00028438 [loop_unroll]: 6.373e-05 [a_1]: 0.00162084 [with_stream_mark]: 4.552e-05 [recompute_prepare]: 3.237e-05 [updatestate_depend_eliminate]: 1.178e-05 [updatestate_assign_eliminate]: 8.12e-06 [updatestate_loads_eliminate]: 7.36001e-06 [parameter_eliminate]: 3.91999e-06 [specialize_transform]: 1.746e-05 [updatestate_useless_node_eliminater]: 1.517e-05 [accelerated_algorithm]: 1.605e-05 [meta_shard_fg_expand]: 7.45e-06 [get_grad_eliminate_]: 1.535e-05 [merge_forward]: 9.84999e-06 [cell_reuse_recompute_pass]: 1.67001e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.435e-05 [j_node_and_user_rematch]: 2.842e-05 [meta_fg_expand]: 0.00249316 [replace_old_param]: 8.209e-05 [inline_without_move]: 7e-05 [renormalize]: 0.00743254 [add_forward_monad_depend]: 1.713e-05 [auto_monad_grad]: 3.41999e-06 [auto_monad_eliminator]: 1.899e-05 [cse]: 3.36e-05 [replace_applicator]: 2.536e-05 [Cycle 2]: 0.00057216, [27] [switch_simplify]: 7.21999e-06 [loop_unroll]: 5.00999e-06 [a_1]: 7.004e-05 [with_stream_mark]: 1.654e-05 [recompute_prepare]: 5.25999e-06 [updatestate_depend_eliminate]: 3.50998e-06 [updatestate_assign_eliminate]: 2.93e-06 [updatestate_loads_eliminate]: 2.12999e-06 [parameter_eliminate]: 1.87999e-06 [specialize_transform]: 4.76002e-06 [updatestate_useless_node_eliminater]: 3.61001e-06 [accelerated_algorithm]: 5.00999e-06 [meta_shard_fg_expand]: 2.21e-06 [get_grad_eliminate_]: 4.40999e-06 [merge_forward]: 3.85998e-06 [cell_reuse_recompute_pass]: 3.28e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.93e-05 [j_node_and_user_rematch]: 8.04002e-06 [meta_fg_expand]: 0.00022289 [replace_old_param]: 8.97e-06 [inline_without_move]: 4.90999e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.54001e-06 [auto_monad_grad]: 1.83002e-06 [auto_monad_eliminator]: 8.00999e-06 [cse]: 1.624e-05 [replace_applicator]: 5.19998e-06 [py_interpret_to_execute_after_opt_a]: 1.792e-05 [rewriter_after_opt_a]: 0.00044146 [convert_after_rewriter]: 1.433e-05 [order_py_execute_after_rewriter]: 5.20999e-06 [mutable_eliminate]: 0.00089 [jit_opt_b]: 6.343e-05, [1] [Cycle 1]: 5.25e-05, [2] [frontend_op_eliminate]: 1.728e-05 [inline_after_opt_a]: 2.021e-05 [cconv]: 3.894e-05 [loop_unroll]: 0.00049417 [jit_opt_after_cconv]: 0.00017494, [1] [Cycle 1]: 0.00016742, [11] [c_1]: 1.845e-05 [parameter_eliminate]: 6.24999e-06 [updatestate_depend_eliminate]: 8.40001e-06 [updatestate_assign_eliminate]: 3.2e-06 [updatestate_loads_eliminate]: 2.24001e-06 [cse]: 3.466e-05 [call_graph_tuple_transform]: 2.26e-05 [tuple_list_get_item_eliminator]: 5.23002e-06 [none_parameter_eliminate]: 2.06998e-06 [renormalize]: 4.50003e-07 [switch_simplify]: 5.69e-06 [remove_dup_value]: 1.678e-05 [partial_unused_args_eliminate]: 3.02002e-06 [environ_conv]: 6.55002e-06 [add_recomputation]: 4.783e-05 [cse_after_recomputation]: 2.46e-05, [1] [Cycle 1]: 1.737e-05, [1] [cse]: 1.011e-05 [auto_monad_reorder]: 1.533e-05 [get_jit_bprop_graph]: 2.63e-06 [rewriter_after_jit_bprop_graph]: 9.22999e-06 [opt_after_jit_grad]: 0.0005484 [symbol_engine_optimizer]: 8.408e-05, [1] [Cycle 1]: 7.616e-05, [6] [build]: 4.78001e-06 [elim_shapecalc]: 9.24998e-06 [elim_not_effective]: 1.452e-05 [opt_reshape]: 6.68e-06 [fold_const_symbol]: 8.17e-06 [renormalize]: 2.69996e-07 [validate]: 4.678e-05 Sums bootstrap : 0.000519s : 0.04% type_inference : 1.343716s : 98.73% event_method : 0.000663s : 0.05% auto_monad : 0.000263s : 0.02% graph_reusing : 0.000012s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000060s : 0.00% rewriter_before_opt_a : 0.000177s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000292s : 0.02% jit_opt_a.loop_unroll : 0.000069s : 0.01% jit_opt_a.a_1 : 0.001691s : 0.12% jit_opt_a.with_stream_mark : 0.000062s : 0.00% jit_opt_a.recompute_prepare : 0.000038s : 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 : 0.000009s : 0.00% jit_opt_a.parameter_eliminate : 0.000006s : 0.00% jit_opt_a.specialize_transform : 0.000022s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000019s : 0.00% jit_opt_a.accelerated_algorithm : 0.000021s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000010s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000020s : 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 : 0.000054s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000036s : 0.00% jit_opt_a.meta_fg_expand : 0.002716s : 0.20% jit_opt_a.replace_old_param : 0.000091s : 0.01% jit_opt_a.inline_without_move : 0.000075s : 0.01% jit_opt_a.renormalize : 0.007433s : 0.55% jit_opt_a.add_forward_monad_depend : 0.000020s : 0.00% jit_opt_a.auto_monad_grad : 0.000005s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000027s : 0.00% jit_opt_a.cse : 0.000050s : 0.00% jit_opt_a.replace_applicator : 0.000031s : 0.00% py_interpret_to_execute_after_opt_a : 0.000018s : 0.00% rewriter_after_opt_a : 0.000441s : 0.03% convert_after_rewriter : 0.000014s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000890s : 0.07% jit_opt_b.frontend_op_eliminate : 0.000017s : 0.00% jit_opt_b.inline_after_opt_a : 0.000020s : 0.00% cconv : 0.000039s : 0.00% loop_unroll : 0.000494s : 0.04% 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 : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.cse : 0.000035s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000023s : 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 : 0.000006s : 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 : 0.000048s : 0.00% cse_after_recomputation.cse : 0.000010s : 0.00% auto_monad_reorder : 0.000015s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.000548s : 0.04% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000009s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000015s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000007s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000008s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000047s : 0.00% Time group info: ------[substitution.] 0.000597 65 0.36% : 0.000002s : 1: substitution.elim_not_effective 0.22% : 0.000001s : 1: substitution.fold_const_symbol 0.93% : 0.000006s : 1: substitution.graph_param_transform 77.49% : 0.000463s : 13: substitution.inline 4.56% : 0.000027s : 2: substitution.inline_without_move 1.39% : 0.000008s : 9: substitution.j_node_and_user_rematch 0.68% : 0.000004s : 2: substitution.minmaximum_grad 1.55% : 0.000009s : 9: substitution.partial_eliminate 1.42% : 0.000008s : 9: substitution.remove_not_recompute_node 0.51% : 0.000003s : 1: substitution.replace_applicator 1.22% : 0.000007s : 6: substitution.replace_old_param 0.73% : 0.000004s : 1: substitution.set_cell_output_no_recompute 3.29% : 0.000020s : 3: substitution.switch_simplify 1.59% : 0.000009s : 2: substitution.tuple_list_convert_item_index_to_positive 1.13% : 0.000007s : 2: substitution.tuple_list_get_item_depend_reorder 2.92% : 0.000017s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.343569 2 99.58% : 1.337927s : 1: type_inference.infer 0.42% : 0.005642s : 1: type_inference.specialize ------[replace.] 0.000235 17 55.72% : 0.000131s : 13: replace.inline 39.58% : 0.000093s : 3: replace.switch_simplify 4.71% : 0.000011s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000475 17 95.37% : 0.000453s : 13: match.inline 3.69% : 0.000018s : 3: match.switch_simplify 0.94% : 0.000004s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000265 1539 1.39% : 0.000004s : 26: predicate.accumulaten_eliminater 0.53% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.45% : 0.000004s : 26: predicate.addn_check_dump 1.40% : 0.000004s : 26: predicate.addn_zero_filter 1.95% : 0.000005s : 26: predicate.arithmetic_simplify 1.61% : 0.000004s : 26: predicate.cast_eliminate 0.32% : 0.000001s : 1: predicate.check_bprop_eliminate 1.22% : 0.000003s : 26: predicate.compare_switch_simplify 1.35% : 0.000004s : 26: predicate.depend_value_elim 1.22% : 0.000003s : 26: predicate.dict_get_item_const_eliminator 1.47% : 0.000004s : 26: predicate.dict_get_item_eliminator 1.33% : 0.000004s : 26: predicate.dict_set_item_eliminator 0.57% : 0.000002s : 1: predicate.dumpgradient_eliminate 0.17% : 0.000000s : 1: predicate.elim_not_effective 0.45% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 1.36% : 0.000004s : 26: predicate.environ_add_const_eliminate 1.51% : 0.000004s : 26: predicate.environ_get_add_eliminate 1.30% : 0.000003s : 26: predicate.environ_get_depend_swap 1.46% : 0.000004s : 26: predicate.environ_get_eliminate 1.24% : 0.000003s : 26: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 1: predicate.fold_const_symbol 1.04% : 0.000003s : 13: predicate.get_grad_eliminate 0.14% : 0.000000s : 1: predicate.graph_param_transform 4.65% : 0.000012s : 42: predicate.inline 2.66% : 0.000007s : 35: predicate.inline_without_move 0.42% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.13% : 0.000003s : 13: predicate.less_batch_normalization 1.49% : 0.000004s : 27: predicate.list_to_tuple_eliminator_ 1.58% : 0.000004s : 28: predicate.load_eliminater 0.67% : 0.000002s : 1: predicate.loop_unroll_after_grad 3.82% : 0.000010s : 67: predicate.loop_unroll_before_grad 1.80% : 0.000005s : 27: predicate.make_slice_get_slice_eliminator 1.20% : 0.000003s : 26: predicate.merge_addn 1.42% : 0.000004s : 26: predicate.minmaximum_grad 1.24% : 0.000003s : 1: predicate.mutable_eliminate 0.20% : 0.000001s : 1: predicate.opt_reshape 1.94% : 0.000005s : 28: predicate.partial_eliminate 1.27% : 0.000003s : 26: predicate.print_const_string_wrapper 2.24% : 0.000006s : 26: predicate.reduce_eliminate 1.48% : 0.000004s : 27: predicate.redundant_stop_gradient_eliminater 0.51% : 0.000001s : 13: predicate.remove_not_recompute_node 1.58% : 0.000004s : 29: predicate.replace_applicator 1.51% : 0.000004s : 35: predicate.replace_old_param 0.34% : 0.000001s : 1: predicate.reset_defer_inline 1.29% : 0.000003s : 26: predicate.reshape_eliminate 1.35% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.28% : 0.000001s : 1: predicate.row_tensor_eliminate 1.47% : 0.000004s : 26: predicate.same_eliminate 0.46% : 0.000001s : 13: predicate.set_cell_output_no_recompute 0.34% : 0.000001s : 2: predicate.special_op_eliminate 1.01% : 0.000003s : 13: predicate.specialize_transform 1.54% : 0.000004s : 26: predicate.split_environ_get_set_with_tuple_value 1.33% : 0.000004s : 26: predicate.stack_unstack_eliminate 0.16% : 0.000000s : 1: predicate.switch_call_monad_eliminater 3.61% : 0.000010s : 40: predicate.switch_defer_inline 2.46% : 0.000007s : 40: predicate.switch_layer_defer_inline 7.95% : 0.000021s : 114: predicate.switch_simplify 1.28% : 0.000003s : 26: predicate.tile_eliminate 1.31% : 0.000003s : 26: predicate.transpose_eliminate 1.63% : 0.000004s : 26: predicate.tuple_list_convert_item_index_to_positive 1.58% : 0.000004s : 26: predicate.tuple_list_get_item_depend_reorder 3.56% : 0.000009s : 29: predicate.tuple_list_get_item_eliminator 2.20% : 0.000006s : 26: predicate.tuple_list_set_item_eliminator 1.45% : 0.000004s : 27: predicate.tuple_to_list_eliminator_ 1.49% : 0.000004s : 28: predicate.updatestate_pure_node_eliminater 2.54% : 0.000007s : 41: predicate.updatestate_useless_node_eliminater 1.58% : 0.000004s : 26: predicate.value_based_eliminate 0.10% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.38% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.004275 37 81.58% : 0.003487s : 21: func_graph_cloner_run.FuncGraphClonerGraph 18.42% : 0.000788s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.572883 72 0.00% : 0.000051s : 1: add_recomputation 0.02% : 0.000272s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.04% : 0.000551s : 1: bootstrap 0.00% : 0.000042s : 1: cconv 0.00% : 0.000018s : 1: convert_after_rewriter 0.00% : 0.000028s : 1: cse_after_recomputation 0.00% : 0.000009s : 1: environ_conv 0.04% : 0.000677s : 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 13.63% : 0.214396s : 1: jit_opt_a 0.01% : 0.000179s : 1: jit_opt_after_cconv 0.00% : 0.000067s : 1: jit_opt_b 0.03% : 0.000505s : 1: loop_unroll 0.06% : 0.000902s : 1: mutable_eliminate 0.15% : 0.002403s : 26: opt.transform.jit_opt_a 0.00% : 0.000046s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000026s : 4: opt.transform.jit_opt_b 0.00% : 0.000012s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000020s : 1: opt.transform.mutable_eliminate 0.00% : 0.000023s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000034s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000560s : 1: opt_after_jit_grad 0.00% : 0.000007s : 1: order_py_execute_after_rewriter 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.00% : 0.000063s : 1: py_interpret_to_execute 0.00% : 0.000021s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 0.41% : 0.006381s : 1: renormalize.infer 0.07% : 0.001035s : 1: renormalize.specialize 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000449s : 1: rewriter_after_opt_a 0.01% : 0.000181s : 1: rewriter_before_opt_a 0.01% : 0.000088s : 1: symbol_engine_optimizer 85.43% : 1.343748s : 1: type_inference TotalTime = 1.36582, [30] [bootstrap]: 0.00034619 [type_inference]: 1.22356 [event_method]: 2.189e-05 [auto_monad]: 8.023e-05 [graph_reusing]: 7.01999e-06 [pre_auto_parallel]: 2.74999e-06 [py_interpret_to_execute]: 0.0005863 [rewriter_before_opt_a]: 9.08e-05 [expand_dump_flag]: 4.00998e-06 [jit_opt_a]: 0.138213, [2] [Cycle 1]: 0.133514, [27] [switch_simplify]: 6.38e-05 [loop_unroll]: 2.755e-05 [a_1]: 0.00061195 [with_stream_mark]: 2.836e-05 [recompute_prepare]: 9.89001e-06 [updatestate_depend_eliminate]: 5.05999e-06 [updatestate_assign_eliminate]: 3.73001e-06 [updatestate_loads_eliminate]: 2.96001e-06 [parameter_eliminate]: 1.89e-06 [specialize_transform]: 8.45001e-06 [updatestate_useless_node_eliminater]: 7.26999e-06 [accelerated_algorithm]: 6.41e-06 [meta_shard_fg_expand]: 2.39001e-06 [get_grad_eliminate_]: 7.03e-06 [merge_forward]: 4.48999e-06 [cell_reuse_recompute_pass]: 1.26997e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.871e-05 [j_node_and_user_rematch]: 1.077e-05 [meta_fg_expand]: 2.71e-06 [replace_old_param]: 1.246e-05 [inline_without_move]: 8.19002e-06 [renormalize]: 0.132307 [add_forward_monad_depend]: 1.362e-05 [auto_monad_grad]: 2.94999e-06 [auto_monad_eliminator]: 2.856e-05 [cse]: 3.962e-05 [replace_applicator]: 2.903e-05 [Cycle 2]: 0.00050577, [27] [switch_simplify]: 9.18002e-06 [loop_unroll]: 7.06001e-06 [a_1]: 0.00014428 [with_stream_mark]: 1.855e-05 [recompute_prepare]: 6.73e-06 [updatestate_depend_eliminate]: 4.45e-06 [updatestate_assign_eliminate]: 3.36999e-06 [updatestate_loads_eliminate]: 3.24001e-06 [parameter_eliminate]: 2.28998e-06 [specialize_transform]: 6.61999e-06 [updatestate_useless_node_eliminater]: 6.64001e-06 [accelerated_algorithm]: 6.94999e-06 [meta_shard_fg_expand]: 2.09999e-06 [get_grad_eliminate_]: 6.40002e-06 [merge_forward]: 4.79e-06 [cell_reuse_recompute_pass]: 4.90001e-06 [cell_reuse_handle_not_recompute_node_pass]: 7.16e-05 [j_node_and_user_rematch]: 1.261e-05 [meta_fg_expand]: 3.31001e-06 [replace_old_param]: 1.182e-05 [inline_without_move]: 6.36e-06 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 2.37001e-06 [auto_monad_grad]: 2.11e-06 [auto_monad_eliminator]: 7.66999e-06 [cse]: 1.865e-05 [replace_applicator]: 7.2e-06 [py_interpret_to_execute_after_opt_a]: 2.146e-05 [rewriter_after_opt_a]: 4.737e-05 [convert_after_rewriter]: 7.4e-06 [order_py_execute_after_rewriter]: 5.84999e-06 [mutable_eliminate]: 0.00082686 [jit_opt_b]: 7.312e-05, [1] [Cycle 1]: 5.954e-05, [2] [frontend_op_eliminate]: 2.519e-05 [inline_after_opt_a]: 2.116e-05 [cconv]: 3.788e-05 [loop_unroll]: 0.00047999 [jit_opt_after_cconv]: 0.00033761, [1] [Cycle 1]: 0.00033038, [11] [c_1]: 2.971e-05 [parameter_eliminate]: 4.22003e-06 [updatestate_depend_eliminate]: 7.84002e-06 [updatestate_assign_eliminate]: 3.05998e-06 [updatestate_loads_eliminate]: 2.31e-06 [cse]: 2.913e-05 [call_graph_tuple_transform]: 0.00017422 [tuple_list_get_item_eliminator]: 7.93001e-06 [none_parameter_eliminate]: 2.26e-06 [renormalize]: 9.20001e-07 [switch_simplify]: 8.05e-06 [remove_dup_value]: 1.944e-05 [partial_unused_args_eliminate]: 2.36e-06 [environ_conv]: 1.062e-05 [add_recomputation]: 6.332e-05 [cse_after_recomputation]: 2.923e-05, [1] [Cycle 1]: 2.302e-05, [1] [cse]: 1.641e-05 [auto_monad_reorder]: 1.891e-05 [get_jit_bprop_graph]: 2.58e-06 [rewriter_after_jit_bprop_graph]: 8.12e-06 [opt_after_jit_grad]: 0.00052722 [symbol_engine_optimizer]: 9.58e-05, [1] [Cycle 1]: 8.815e-05, [6] [build]: 5.17999e-06 [elim_shapecalc]: 1.046e-05 [elim_not_effective]: 1.671e-05 [opt_reshape]: 9.29998e-06 [fold_const_symbol]: 1.173e-05 [renormalize]: 5.40022e-07 [validate]: 5.548e-05 Sums bootstrap : 0.000346s : 0.03% type_inference : 1.223563s : 89.91% event_method : 0.000022s : 0.00% auto_monad : 0.000080s : 0.01% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000586s : 0.04% rewriter_before_opt_a : 0.000091s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000073s : 0.01% jit_opt_a.loop_unroll : 0.000035s : 0.00% jit_opt_a.a_1 : 0.000756s : 0.06% jit_opt_a.with_stream_mark : 0.000047s : 0.00% jit_opt_a.recompute_prepare : 0.000017s : 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 : 0.000006s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000015s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000014s : 0.00% jit_opt_a.accelerated_algorithm : 0.000013s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000004s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000013s : 0.00% jit_opt_a.merge_forward : 0.000009s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000090s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000023s : 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 : 0.132307s : 9.72% 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 : 0.000036s : 0.00% jit_opt_a.cse : 0.000058s : 0.00% jit_opt_a.replace_applicator : 0.000036s : 0.00% py_interpret_to_execute_after_opt_a : 0.000021s : 0.00% rewriter_after_opt_a : 0.000047s : 0.00% convert_after_rewriter : 0.000007s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000827s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000025s : 0.00% jit_opt_b.inline_after_opt_a : 0.000021s : 0.00% cconv : 0.000038s : 0.00% loop_unroll : 0.000480s : 0.04% jit_opt_after_cconv.c_1 : 0.000030s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.cse : 0.000029s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000174s : 0.01% 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 : 0.000008s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000011s : 0.00% add_recomputation : 0.000063s : 0.00% cse_after_recomputation.cse : 0.000016s : 0.00% auto_monad_reorder : 0.000019s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000527s : 0.04% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000010s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000017s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000012s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000055s : 0.00% Time group info: ------[substitution.] 0.000430 23 0.52% : 0.000002s : 2: substitution.elim_not_effective 0.46% : 0.000002s : 2: substitution.fold_const_symbol 35.43% : 0.000152s : 4: substitution.graph_param_transform 45.55% : 0.000196s : 4: substitution.inline 1.13% : 0.000005s : 4: substitution.j_node_and_user_rematch 12.75% : 0.000055s : 4: substitution.remove_not_recompute_node 1.78% : 0.000008s : 2: substitution.replace_old_param 2.37% : 0.000010s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.223313 2 99.69% : 1.219532s : 1: type_inference.infer 0.31% : 0.003782s : 1: type_inference.specialize ------[replace.] 0.000067 5 83.48% : 0.000056s : 4: replace.inline 16.52% : 0.000011s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000202 5 95.41% : 0.000193s : 4: match.inline 4.59% : 0.000009s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000146 801 1.26% : 0.000002s : 12: predicate.accumulaten_eliminater 1.15% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 1.32% : 0.000002s : 12: predicate.addn_check_dump 1.27% : 0.000002s : 12: predicate.addn_zero_filter 2.59% : 0.000004s : 12: predicate.arithmetic_simplify 1.26% : 0.000002s : 12: predicate.cast_eliminate 0.57% : 0.000001s : 4: predicate.check_bprop_eliminate 0.94% : 0.000001s : 12: predicate.compare_switch_simplify 1.24% : 0.000002s : 12: predicate.depend_value_elim 1.16% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.48% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.12% : 0.000002s : 12: predicate.dict_set_item_eliminator 0.99% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.30% : 0.000000s : 4: predicate.elim_not_effective 0.76% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.35% : 0.000002s : 12: predicate.environ_add_const_eliminate 1.06% : 0.000002s : 12: predicate.environ_get_add_eliminate 1.06% : 0.000002s : 12: predicate.environ_get_depend_swap 1.41% : 0.000002s : 12: predicate.environ_get_eliminate 1.04% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.27% : 0.000000s : 4: predicate.fold_const_symbol 1.10% : 0.000002s : 8: predicate.get_grad_eliminate 0.30% : 0.000000s : 4: predicate.graph_param_transform 5.25% : 0.000008s : 25: predicate.inline 1.05% : 0.000002s : 8: predicate.inline_without_move 0.46% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.30% : 0.000002s : 8: predicate.less_batch_normalization 1.57% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.72% : 0.000003s : 17: predicate.load_eliminater 1.62% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.86% : 0.000004s : 28: predicate.loop_unroll_before_grad 2.12% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.04% : 0.000002s : 12: predicate.merge_addn 0.98% : 0.000001s : 12: predicate.minmaximum_grad 2.27% : 0.000003s : 4: predicate.mutable_eliminate 0.42% : 0.000001s : 4: predicate.opt_reshape 1.99% : 0.000003s : 17: predicate.partial_eliminate 1.31% : 0.000002s : 12: predicate.print_const_string_wrapper 1.86% : 0.000003s : 12: predicate.reduce_eliminate 1.32% : 0.000002s : 13: predicate.redundant_stop_gradient_eliminater 0.72% : 0.000001s : 8: predicate.remove_not_recompute_node 2.04% : 0.000003s : 21: predicate.replace_applicator 0.75% : 0.000001s : 8: predicate.replace_old_param 0.49% : 0.000001s : 4: predicate.reset_defer_inline 1.30% : 0.000002s : 12: predicate.reshape_eliminate 1.34% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.96% : 0.000001s : 4: predicate.row_tensor_eliminate 1.68% : 0.000002s : 12: predicate.same_eliminate 0.68% : 0.000001s : 8: predicate.set_cell_output_no_recompute 1.16% : 0.000002s : 8: predicate.special_op_eliminate 0.94% : 0.000001s : 8: predicate.specialize_transform 1.52% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 1.50% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.44% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.21% : 0.000003s : 17: predicate.switch_defer_inline 1.84% : 0.000003s : 17: predicate.switch_layer_defer_inline 6.69% : 0.000010s : 49: predicate.switch_simplify 1.22% : 0.000002s : 12: predicate.tile_eliminate 1.28% : 0.000002s : 12: predicate.transpose_eliminate 1.61% : 0.000002s : 12: predicate.tuple_list_convert_item_index_to_positive 1.33% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 3.81% : 0.000006s : 21: predicate.tuple_list_get_item_eliminator 1.56% : 0.000002s : 12: predicate.tuple_list_set_item_eliminator 1.57% : 0.000002s : 13: predicate.tuple_to_list_eliminator_ 1.63% : 0.000002s : 17: predicate.updatestate_pure_node_eliminater 2.73% : 0.000004s : 25: predicate.updatestate_useless_node_eliminater 1.54% : 0.000002s : 12: predicate.value_based_eliminate 0.36% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.94% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.134821 18 98.72% : 0.133090s : 12: func_graph_cloner_run.FuncGraphClonerGraph 1.28% : 0.001732s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.499423 72 0.00% : 0.000067s : 1: add_recomputation 0.01% : 0.000084s : 1: auto_monad 0.00% : 0.000022s : 1: auto_monad_reorder 0.02% : 0.000372s : 1: bootstrap 0.00% : 0.000040s : 1: cconv 0.00% : 0.000010s : 1: convert_after_rewriter 0.00% : 0.000032s : 1: cse_after_recomputation 0.00% : 0.000013s : 1: environ_conv 0.00% : 0.000028s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000009s : 1: graph_reusing 9.22% : 0.138218s : 1: jit_opt_a 0.02% : 0.000341s : 1: jit_opt_after_cconv 0.01% : 0.000076s : 1: jit_opt_b 0.03% : 0.000489s : 1: loop_unroll 0.06% : 0.000839s : 1: mutable_eliminate 0.07% : 0.001084s : 26: opt.transform.jit_opt_a 0.01% : 0.000216s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000038s : 4: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000019s : 1: opt.transform.mutable_eliminate 0.00% : 0.000030s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000044s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000537s : 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 0.04% : 0.000595s : 1: py_interpret_to_execute 0.00% : 0.000024s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 8.70% : 0.130397s : 1: renormalize.infer 0.13% : 0.001886s : 1: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000051s : 1: rewriter_after_opt_a 0.01% : 0.000096s : 1: rewriter_before_opt_a 0.01% : 0.000099s : 1: symbol_engine_optimizer 81.60% : 1.223588s : 1: type_inference TotalTime = 1.98937, [30] [bootstrap]: 0.00032569 [type_inference]: 1.6524 [event_method]: 0.0010153 [auto_monad]: 0.00022372 [graph_reusing]: 1.174e-05 [pre_auto_parallel]: 4.16001e-06 [py_interpret_to_execute]: 8.223e-05 [rewriter_before_opt_a]: 0.0002446 [expand_dump_flag]: 5.15001e-06 [jit_opt_a]: 0.331893, [2] [Cycle 1]: 0.314388, [27] [switch_simplify]: 0.00030736 [loop_unroll]: 6.758e-05 [a_1]: 0.00169648 [with_stream_mark]: 4.433e-05 [recompute_prepare]: 3.397e-05 [updatestate_depend_eliminate]: 1.148e-05 [updatestate_assign_eliminate]: 7.93001e-06 [updatestate_loads_eliminate]: 8.30999e-06 [parameter_eliminate]: 3.68999e-06 [specialize_transform]: 1.93e-05 [updatestate_useless_node_eliminater]: 1.63e-05 [accelerated_algorithm]: 1.824e-05 [meta_shard_fg_expand]: 7.4e-06 [get_grad_eliminate_]: 1.759e-05 [merge_forward]: 1.152e-05 [cell_reuse_recompute_pass]: 1.52001e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.903e-05 [j_node_and_user_rematch]: 3.272e-05 [meta_fg_expand]: 0.0114933 [replace_old_param]: 8.821e-05 [inline_without_move]: 7.53e-05 [renormalize]: 0.299966 [add_forward_monad_depend]: 9.10999e-06 [auto_monad_grad]: 2.76e-06 [auto_monad_eliminator]: 1.787e-05 [cse]: 3.26e-05 [replace_applicator]: 2.491e-05 [Cycle 2]: 0.00068044, [27] [switch_simplify]: 6.20002e-06 [loop_unroll]: 5.14998e-06 [a_1]: 6.54e-05 [with_stream_mark]: 1.47e-05 [recompute_prepare]: 4.94e-06 [updatestate_depend_eliminate]: 3.23998e-06 [updatestate_assign_eliminate]: 3.06999e-06 [updatestate_loads_eliminate]: 2.26998e-06 [parameter_eliminate]: 2.48e-06 [specialize_transform]: 4.40999e-06 [updatestate_useless_node_eliminater]: 3.71999e-06 [accelerated_algorithm]: 4.53001e-06 [meta_shard_fg_expand]: 2.24999e-06 [get_grad_eliminate_]: 3.66999e-06 [merge_forward]: 3.73999e-06 [cell_reuse_recompute_pass]: 3.34001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.845e-05 [j_node_and_user_rematch]: 7.83001e-06 [meta_fg_expand]: 0.0002238 [replace_old_param]: 6.41998e-06 [inline_without_move]: 4.05e-06 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 2.29001e-06 [auto_monad_grad]: 1.37e-06 [auto_monad_eliminator]: 5.89e-06 [cse]: 1.872e-05 [replace_applicator]: 7.6e-06 [py_interpret_to_execute_after_opt_a]: 1.719e-05 [rewriter_after_opt_a]: 0.00045941 [convert_after_rewriter]: 1.35e-05 [order_py_execute_after_rewriter]: 5.90002e-06 [mutable_eliminate]: 0.00089744 [jit_opt_b]: 5.475e-05, [1] [Cycle 1]: 4.64e-05, [2] [frontend_op_eliminate]: 1.497e-05 [inline_after_opt_a]: 1.702e-05 [cconv]: 3.126e-05 [loop_unroll]: 0.00046972 [jit_opt_after_cconv]: 0.00014737, [1] [Cycle 1]: 0.0001403, [11] [c_1]: 1.768e-05 [parameter_eliminate]: 3.62002e-06 [updatestate_depend_eliminate]: 6.07999e-06 [updatestate_assign_eliminate]: 1.99e-06 [updatestate_loads_eliminate]: 1.84998e-06 [cse]: 2.444e-05 [call_graph_tuple_transform]: 1.872e-05 [tuple_list_get_item_eliminator]: 4.60001e-06 [none_parameter_eliminate]: 1.60001e-06 [renormalize]: 1.07e-06 [switch_simplify]: 5.17999e-06 [remove_dup_value]: 1.611e-05 [partial_unused_args_eliminate]: 4.57e-06 [environ_conv]: 6.86999e-06 [add_recomputation]: 4.848e-05 [cse_after_recomputation]: 2.61e-05, [1] [Cycle 1]: 1.808e-05, [1] [cse]: 1.055e-05 [auto_monad_reorder]: 1.548e-05 [get_jit_bprop_graph]: 2.42001e-06 [rewriter_after_jit_bprop_graph]: 6.86999e-06 [opt_after_jit_grad]: 0.00050878 [symbol_engine_optimizer]: 8.714e-05, [1] [Cycle 1]: 7.957e-05, [6] [build]: 4.57e-06 [elim_shapecalc]: 8.72e-06 [elim_not_effective]: 1.478e-05 [opt_reshape]: 6.25997e-06 [fold_const_symbol]: 8.39998e-06 [renormalize]: 9.80013e-07 [validate]: 4.383e-05 Sums bootstrap : 0.000326s : 0.02% type_inference : 1.652398s : 83.81% event_method : 0.001015s : 0.05% auto_monad : 0.000224s : 0.01% graph_reusing : 0.000012s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000082s : 0.00% rewriter_before_opt_a : 0.000245s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000314s : 0.02% jit_opt_a.loop_unroll : 0.000073s : 0.00% jit_opt_a.a_1 : 0.001762s : 0.09% jit_opt_a.with_stream_mark : 0.000059s : 0.00% jit_opt_a.recompute_prepare : 0.000039s : 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 : 0.000011s : 0.00% jit_opt_a.parameter_eliminate : 0.000006s : 0.00% jit_opt_a.specialize_transform : 0.000024s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000020s : 0.00% jit_opt_a.accelerated_algorithm : 0.000023s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000010s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000021s : 0.00% jit_opt_a.merge_forward : 0.000015s : 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 : 0.000041s : 0.00% jit_opt_a.meta_fg_expand : 0.011717s : 0.59% jit_opt_a.replace_old_param : 0.000095s : 0.00% jit_opt_a.inline_without_move : 0.000079s : 0.00% jit_opt_a.renormalize : 0.299966s : 15.22% 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 : 0.000051s : 0.00% jit_opt_a.replace_applicator : 0.000033s : 0.00% py_interpret_to_execute_after_opt_a : 0.000017s : 0.00% rewriter_after_opt_a : 0.000459s : 0.02% convert_after_rewriter : 0.000013s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000897s : 0.05% jit_opt_b.frontend_op_eliminate : 0.000015s : 0.00% jit_opt_b.inline_after_opt_a : 0.000017s : 0.00% cconv : 0.000031s : 0.00% loop_unroll : 0.000470s : 0.02% jit_opt_after_cconv.c_1 : 0.000018s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 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 : 0.000024s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000019s : 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 : 0.000005s : 0.00% remove_dup_value : 0.000016s : 0.00% partial_unused_args_eliminate : 0.000005s : 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 : 0.000015s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000509s : 0.03% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000009s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000015s : 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 : 0.000044s : 0.00% Time group info: ------[substitution.] 0.000601 65 0.36% : 0.000002s : 1: substitution.elim_not_effective 0.23% : 0.000001s : 1: substitution.fold_const_symbol 0.93% : 0.000006s : 1: substitution.graph_param_transform 74.04% : 0.000445s : 13: substitution.inline 4.58% : 0.000028s : 2: substitution.inline_without_move 1.67% : 0.000010s : 9: substitution.j_node_and_user_rematch 1.12% : 0.000007s : 2: substitution.minmaximum_grad 1.73% : 0.000010s : 9: substitution.partial_eliminate 1.54% : 0.000009s : 9: substitution.remove_not_recompute_node 0.63% : 0.000004s : 1: substitution.replace_applicator 1.10% : 0.000007s : 6: substitution.replace_old_param 0.77% : 0.000005s : 1: substitution.set_cell_output_no_recompute 3.84% : 0.000023s : 3: substitution.switch_simplify 2.22% : 0.000013s : 2: substitution.tuple_list_convert_item_index_to_positive 1.56% : 0.000009s : 2: substitution.tuple_list_get_item_depend_reorder 3.69% : 0.000022s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.652218 2 99.62% : 1.645876s : 1: type_inference.infer 0.38% : 0.006342s : 1: type_inference.specialize ------[replace.] 0.000239 17 52.68% : 0.000126s : 13: replace.inline 42.07% : 0.000100s : 3: replace.switch_simplify 5.25% : 0.000013s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000463 17 94.04% : 0.000436s : 13: match.inline 4.45% : 0.000021s : 3: match.switch_simplify 1.51% : 0.000007s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000285 1539 1.48% : 0.000004s : 26: predicate.accumulaten_eliminater 0.37% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.50% : 0.000004s : 26: predicate.addn_check_dump 1.47% : 0.000004s : 26: predicate.addn_zero_filter 1.94% : 0.000006s : 26: predicate.arithmetic_simplify 1.49% : 0.000004s : 26: predicate.cast_eliminate 0.07% : 0.000000s : 1: predicate.check_bprop_eliminate 1.43% : 0.000004s : 26: predicate.compare_switch_simplify 1.40% : 0.000004s : 26: predicate.depend_value_elim 1.37% : 0.000004s : 26: predicate.dict_get_item_const_eliminator 1.52% : 0.000004s : 26: predicate.dict_get_item_eliminator 1.40% : 0.000004s : 26: predicate.dict_set_item_eliminator 0.39% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.14% : 0.000000s : 1: predicate.elim_not_effective 0.22% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 1.61% : 0.000005s : 26: predicate.environ_add_const_eliminate 1.36% : 0.000004s : 26: predicate.environ_get_add_eliminate 1.24% : 0.000004s : 26: predicate.environ_get_depend_swap 1.42% : 0.000004s : 26: predicate.environ_get_eliminate 1.24% : 0.000004s : 26: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 1: predicate.fold_const_symbol 0.94% : 0.000003s : 13: predicate.get_grad_eliminate 0.18% : 0.000001s : 1: predicate.graph_param_transform 4.74% : 0.000014s : 42: predicate.inline 2.39% : 0.000007s : 35: predicate.inline_without_move 0.43% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.22% : 0.000003s : 13: predicate.less_batch_normalization 1.43% : 0.000004s : 27: predicate.list_to_tuple_eliminator_ 1.83% : 0.000005s : 28: predicate.load_eliminater 0.55% : 0.000002s : 1: predicate.loop_unroll_after_grad 3.93% : 0.000011s : 67: predicate.loop_unroll_before_grad 1.94% : 0.000006s : 27: predicate.make_slice_get_slice_eliminator 1.25% : 0.000004s : 26: predicate.merge_addn 1.37% : 0.000004s : 26: predicate.minmaximum_grad 0.77% : 0.000002s : 1: predicate.mutable_eliminate 0.21% : 0.000001s : 1: predicate.opt_reshape 1.73% : 0.000005s : 28: predicate.partial_eliminate 1.44% : 0.000004s : 26: predicate.print_const_string_wrapper 1.95% : 0.000006s : 26: predicate.reduce_eliminate 1.49% : 0.000004s : 27: predicate.redundant_stop_gradient_eliminater 0.50% : 0.000001s : 13: predicate.remove_not_recompute_node 1.33% : 0.000004s : 29: predicate.replace_applicator 1.40% : 0.000004s : 35: predicate.replace_old_param 0.16% : 0.000000s : 1: predicate.reset_defer_inline 1.38% : 0.000004s : 26: predicate.reshape_eliminate 1.58% : 0.000005s : 26: predicate.row_tensor_add_zeros_like 0.32% : 0.000001s : 1: predicate.row_tensor_eliminate 1.39% : 0.000004s : 26: predicate.same_eliminate 0.45% : 0.000001s : 13: predicate.set_cell_output_no_recompute 0.30% : 0.000001s : 2: predicate.special_op_eliminate 0.84% : 0.000002s : 13: predicate.specialize_transform 1.60% : 0.000005s : 26: predicate.split_environ_get_set_with_tuple_value 1.37% : 0.000004s : 26: predicate.stack_unstack_eliminate 0.10% : 0.000000s : 1: predicate.switch_call_monad_eliminater 3.07% : 0.000009s : 40: predicate.switch_defer_inline 2.51% : 0.000007s : 40: predicate.switch_layer_defer_inline 9.30% : 0.000027s : 114: predicate.switch_simplify 1.35% : 0.000004s : 26: predicate.tile_eliminate 1.33% : 0.000004s : 26: predicate.transpose_eliminate 1.87% : 0.000005s : 26: predicate.tuple_list_convert_item_index_to_positive 1.72% : 0.000005s : 26: predicate.tuple_list_get_item_depend_reorder 3.21% : 0.000009s : 29: predicate.tuple_list_get_item_eliminator 2.08% : 0.000006s : 26: predicate.tuple_list_set_item_eliminator 1.34% : 0.000004s : 27: predicate.tuple_to_list_eliminator_ 1.67% : 0.000005s : 28: predicate.updatestate_pure_node_eliminater 2.80% : 0.000008s : 41: predicate.updatestate_useless_node_eliminater 1.84% : 0.000005s : 26: predicate.value_based_eliminate 0.09% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.18% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.004486 37 79.59% : 0.003571s : 21: func_graph_cloner_run.FuncGraphClonerGraph 20.41% : 0.000916s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.291852 72 0.00% : 0.000053s : 1: add_recomputation 0.01% : 0.000235s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.02% : 0.000356s : 1: bootstrap 0.00% : 0.000034s : 1: cconv 0.00% : 0.000018s : 1: convert_after_rewriter 0.00% : 0.000029s : 1: cse_after_recomputation 0.00% : 0.000010s : 1: environ_conv 0.05% : 0.001034s : 1: event_method 0.00% : 0.000008s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000015s : 1: graph_reusing 14.48% : 0.331898s : 1: jit_opt_a 0.01% : 0.000150s : 1: jit_opt_after_cconv 0.00% : 0.000058s : 1: jit_opt_b 0.02% : 0.000479s : 1: loop_unroll 0.04% : 0.000908s : 1: mutable_eliminate 0.11% : 0.002529s : 26: opt.transform.jit_opt_a 0.00% : 0.000042s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000024s : 4: opt.transform.jit_opt_b 0.00% : 0.000012s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000017s : 1: opt.transform.mutable_eliminate 0.00% : 0.000021s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000033s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000520s : 1: opt_after_jit_grad 0.00% : 0.000008s : 1: order_py_execute_after_rewriter 0.00% : 0.000007s : 1: partial_unused_args_eliminate 0.00% : 0.000007s : 1: pre_auto_parallel 0.00% : 0.000088s : 1: py_interpret_to_execute 0.00% : 0.000021s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000019s : 1: remove_dup_value 13.04% : 0.298946s : 1: renormalize.infer 0.04% : 0.001007s : 1: renormalize.specialize 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000467s : 1: rewriter_after_opt_a 0.01% : 0.000250s : 1: rewriter_before_opt_a 0.00% : 0.000090s : 1: symbol_engine_optimizer 72.10% : 1.652427s : 1: type_inference TotalTime = 1.43163, [30] [bootstrap]: 0.00033089 [type_inference]: 1.39181 [event_method]: 2.514e-05 [auto_monad]: 8.808e-05 [graph_reusing]: 7.03998e-06 [pre_auto_parallel]: 2.94999e-06 [py_interpret_to_execute]: 0.00093549 [rewriter_before_opt_a]: 0.0001098 [expand_dump_flag]: 4.3e-06 [jit_opt_a]: 0.0352163, [2] [Cycle 1]: 0.0300963, [27] [switch_simplify]: 7.985e-05 [loop_unroll]: 2.684e-05 [a_1]: 0.00064641 [with_stream_mark]: 3.131e-05 [recompute_prepare]: 1.276e-05 [updatestate_depend_eliminate]: 5.29e-06 [updatestate_assign_eliminate]: 3.8e-06 [updatestate_loads_eliminate]: 3.08e-06 [parameter_eliminate]: 2.48998e-06 [specialize_transform]: 9.37001e-06 [updatestate_useless_node_eliminater]: 6.91999e-06 [accelerated_algorithm]: 8.31002e-06 [meta_shard_fg_expand]: 3.6e-06 [get_grad_eliminate_]: 6.49999e-06 [merge_forward]: 5.14e-06 [cell_reuse_recompute_pass]: 1.19e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.937e-05 [j_node_and_user_rematch]: 1.295e-05 [meta_fg_expand]: 2.84999e-06 [replace_old_param]: 1.335e-05 [inline_without_move]: 6.73e-06 [renormalize]: 0.0288254 [add_forward_monad_depend]: 1.235e-05 [auto_monad_grad]: 2.22999e-06 [auto_monad_eliminator]: 2.549e-05 [cse]: 4.057e-05 [replace_applicator]: 3.018e-05 [Cycle 2]: 0.00044324, [27] [switch_simplify]: 8.81002e-06 [loop_unroll]: 7.32997e-06 [a_1]: 0.00014748 [with_stream_mark]: 1.954e-05 [recompute_prepare]: 6.76e-06 [updatestate_depend_eliminate]: 4.21001e-06 [updatestate_assign_eliminate]: 3.13e-06 [updatestate_loads_eliminate]: 2.63e-06 [parameter_eliminate]: 1.94e-06 [specialize_transform]: 6.53e-06 [updatestate_useless_node_eliminater]: 5.96998e-06 [accelerated_algorithm]: 6.79001e-06 [meta_shard_fg_expand]: 2.66e-06 [get_grad_eliminate_]: 5.66998e-06 [merge_forward]: 5.00001e-06 [cell_reuse_recompute_pass]: 3.09001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.223e-05 [j_node_and_user_rematch]: 1.065e-05 [meta_fg_expand]: 2.74999e-06 [replace_old_param]: 1.147e-05 [inline_without_move]: 6.28e-06 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 1.74998e-06 [auto_monad_grad]: 1.17e-06 [auto_monad_eliminator]: 7.03e-06 [cse]: 1.654e-05 [replace_applicator]: 6.54001e-06 [py_interpret_to_execute_after_opt_a]: 2.124e-05 [rewriter_after_opt_a]: 4.124e-05 [convert_after_rewriter]: 7.27002e-06 [order_py_execute_after_rewriter]: 5.15001e-06 [mutable_eliminate]: 0.00080569 [jit_opt_b]: 7.038e-05, [1] [Cycle 1]: 6.091e-05, [2] [frontend_op_eliminate]: 2.411e-05 [inline_after_opt_a]: 2.18e-05 [cconv]: 3.823e-05 [loop_unroll]: 0.00055959 [jit_opt_after_cconv]: 0.00019714, [1] [Cycle 1]: 0.00018932, [11] [c_1]: 3.106e-05 [parameter_eliminate]: 5.06002e-06 [updatestate_depend_eliminate]: 9.49e-06 [updatestate_assign_eliminate]: 2.81e-06 [updatestate_loads_eliminate]: 4.02e-06 [cse]: 3.713e-05 [call_graph_tuple_transform]: 2.808e-05 [tuple_list_get_item_eliminator]: 6.94999e-06 [none_parameter_eliminate]: 1.79998e-06 [renormalize]: 7.00005e-07 [switch_simplify]: 7.25e-06 [remove_dup_value]: 1.74e-05 [partial_unused_args_eliminate]: 2.37001e-06 [environ_conv]: 1.138e-05 [add_recomputation]: 5.906e-05 [cse_after_recomputation]: 2.704e-05, [1] [Cycle 1]: 2.126e-05, [1] [cse]: 1.422e-05 [auto_monad_reorder]: 1.638e-05 [get_jit_bprop_graph]: 2.41998e-06 [rewriter_after_jit_bprop_graph]: 8.45999e-06 [opt_after_jit_grad]: 0.00061209 [symbol_engine_optimizer]: 9.978e-05, [1] [Cycle 1]: 9.213e-05, [6] [build]: 4.96002e-06 [elim_shapecalc]: 1.093e-05 [elim_not_effective]: 1.879e-05 [opt_reshape]: 8.45001e-06 [fold_const_symbol]: 1.26e-05 [renormalize]: 5.19998e-07 [validate]: 6.201e-05 Sums bootstrap : 0.000331s : 0.02% type_inference : 1.391807s : 97.60% event_method : 0.000025s : 0.00% auto_monad : 0.000088s : 0.01% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000935s : 0.07% rewriter_before_opt_a : 0.000110s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000089s : 0.01% jit_opt_a.loop_unroll : 0.000034s : 0.00% jit_opt_a.a_1 : 0.000794s : 0.06% jit_opt_a.with_stream_mark : 0.000051s : 0.00% jit_opt_a.recompute_prepare : 0.000020s : 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 : 0.000006s : 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 : 0.000013s : 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_ : 0.000012s : 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 : 0.000042s : 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 : 0.000025s : 0.00% jit_opt_a.inline_without_move : 0.000013s : 0.00% jit_opt_a.renormalize : 0.028825s : 2.02% jit_opt_a.add_forward_monad_depend : 0.000014s : 0.00% jit_opt_a.auto_monad_grad : 0.000003s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000033s : 0.00% jit_opt_a.cse : 0.000057s : 0.00% jit_opt_a.replace_applicator : 0.000037s : 0.00% py_interpret_to_execute_after_opt_a : 0.000021s : 0.00% rewriter_after_opt_a : 0.000041s : 0.00% convert_after_rewriter : 0.000007s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000806s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000024s : 0.00% jit_opt_b.inline_after_opt_a : 0.000022s : 0.00% cconv : 0.000038s : 0.00% loop_unroll : 0.000560s : 0.04% jit_opt_after_cconv.c_1 : 0.000031s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000003s : 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 : 0.000028s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000007s : 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 : 0.000007s : 0.00% remove_dup_value : 0.000017s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000011s : 0.00% add_recomputation : 0.000059s : 0.00% cse_after_recomputation.cse : 0.000014s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000612s : 0.04% symbol_engine_optimizer.build : 0.000005s : 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 : 0.000013s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000062s : 0.00% Time group info: ------[substitution.] 0.000253 23 1.10% : 0.000003s : 2: substitution.elim_not_effective 0.71% : 0.000002s : 2: substitution.fold_const_symbol 2.74% : 0.000007s : 4: substitution.graph_param_transform 83.18% : 0.000211s : 4: substitution.inline 1.86% : 0.000005s : 4: substitution.j_node_and_user_rematch 3.02% : 0.000008s : 4: substitution.remove_not_recompute_node 2.72% : 0.000007s : 2: substitution.replace_old_param 4.68% : 0.000012s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.391694 2 99.71% : 1.387706s : 1: type_inference.infer 0.29% : 0.003988s : 1: type_inference.specialize ------[replace.] 0.000064 5 83.00% : 0.000053s : 4: replace.inline 17.00% : 0.000011s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000218 5 95.09% : 0.000208s : 4: match.inline 4.91% : 0.000011s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000149 801 1.29% : 0.000002s : 12: predicate.accumulaten_eliminater 1.28% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 1.04% : 0.000002s : 12: predicate.addn_check_dump 1.45% : 0.000002s : 12: predicate.addn_zero_filter 2.27% : 0.000003s : 12: predicate.arithmetic_simplify 1.45% : 0.000002s : 12: predicate.cast_eliminate 0.46% : 0.000001s : 4: predicate.check_bprop_eliminate 1.03% : 0.000002s : 12: predicate.compare_switch_simplify 1.15% : 0.000002s : 12: predicate.depend_value_elim 1.18% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.33% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.34% : 0.000002s : 12: predicate.dict_set_item_eliminator 1.07% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.64% : 0.000001s : 4: predicate.elim_not_effective 0.60% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.08% : 0.000002s : 12: predicate.environ_add_const_eliminate 1.17% : 0.000002s : 12: predicate.environ_get_add_eliminate 1.16% : 0.000002s : 12: predicate.environ_get_depend_swap 1.23% : 0.000002s : 12: predicate.environ_get_eliminate 1.35% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.25% : 0.000000s : 4: predicate.fold_const_symbol 0.99% : 0.000001s : 8: predicate.get_grad_eliminate 0.42% : 0.000001s : 4: predicate.graph_param_transform 6.17% : 0.000009s : 25: predicate.inline 0.96% : 0.000001s : 8: predicate.inline_without_move 0.42% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.43% : 0.000002s : 8: predicate.less_batch_normalization 1.30% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.41% : 0.000002s : 17: predicate.load_eliminater 1.45% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.97% : 0.000004s : 28: predicate.loop_unroll_before_grad 2.34% : 0.000004s : 16: predicate.make_slice_get_slice_eliminator 1.08% : 0.000002s : 12: predicate.merge_addn 1.02% : 0.000002s : 12: predicate.minmaximum_grad 1.96% : 0.000003s : 4: predicate.mutable_eliminate 0.54% : 0.000001s : 4: predicate.opt_reshape 1.92% : 0.000003s : 17: predicate.partial_eliminate 1.25% : 0.000002s : 12: predicate.print_const_string_wrapper 1.76% : 0.000003s : 12: predicate.reduce_eliminate 1.55% : 0.000002s : 13: predicate.redundant_stop_gradient_eliminater 0.65% : 0.000001s : 8: predicate.remove_not_recompute_node 1.99% : 0.000003s : 21: predicate.replace_applicator 0.72% : 0.000001s : 8: predicate.replace_old_param 0.46% : 0.000001s : 4: predicate.reset_defer_inline 1.31% : 0.000002s : 12: predicate.reshape_eliminate 1.07% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.87% : 0.000001s : 4: predicate.row_tensor_eliminate 1.38% : 0.000002s : 12: predicate.same_eliminate 0.54% : 0.000001s : 8: predicate.set_cell_output_no_recompute 1.07% : 0.000002s : 8: predicate.special_op_eliminate 0.86% : 0.000001s : 8: predicate.specialize_transform 1.51% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 1.14% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.42% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.80% : 0.000004s : 17: predicate.switch_defer_inline 1.74% : 0.000003s : 17: predicate.switch_layer_defer_inline 6.23% : 0.000009s : 49: predicate.switch_simplify 1.29% : 0.000002s : 12: predicate.tile_eliminate 1.28% : 0.000002s : 12: predicate.transpose_eliminate 2.02% : 0.000003s : 12: predicate.tuple_list_convert_item_index_to_positive 1.31% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 3.90% : 0.000006s : 21: predicate.tuple_list_get_item_eliminator 1.57% : 0.000002s : 12: predicate.tuple_list_set_item_eliminator 1.51% : 0.000002s : 13: predicate.tuple_to_list_eliminator_ 1.89% : 0.000003s : 17: predicate.updatestate_pure_node_eliminater 2.99% : 0.000004s : 25: predicate.updatestate_useless_node_eliminater 1.53% : 0.000002s : 12: predicate.value_based_eliminate 0.33% : 0.000000s : 4: predicate.virtual_view_grad_eliminate 0.85% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003284 18 54.08% : 0.001776s : 12: func_graph_cloner_run.FuncGraphClonerGraph 45.92% : 0.001508s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.461398 72 0.00% : 0.000062s : 1: add_recomputation 0.01% : 0.000093s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.02% : 0.000353s : 1: bootstrap 0.00% : 0.000041s : 1: cconv 0.00% : 0.000009s : 1: convert_after_rewriter 0.00% : 0.000030s : 1: cse_after_recomputation 0.00% : 0.000014s : 1: environ_conv 0.00% : 0.000032s : 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 2.41% : 0.035221s : 1: jit_opt_a 0.01% : 0.000200s : 1: jit_opt_after_cconv 0.01% : 0.000073s : 1: jit_opt_b 0.04% : 0.000570s : 1: loop_unroll 0.06% : 0.000817s : 1: mutable_eliminate 0.07% : 0.001076s : 26: opt.transform.jit_opt_a 0.00% : 0.000070s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000037s : 4: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000019s : 1: opt.transform.mutable_eliminate 0.00% : 0.000033s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000046s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000623s : 1: opt_after_jit_grad 0.00% : 0.000007s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pre_auto_parallel 0.06% : 0.000948s : 1: py_interpret_to_execute 0.00% : 0.000024s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 1.86% : 0.027121s : 1: renormalize.infer 0.12% : 0.001682s : 1: renormalize.specialize 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000045s : 1: rewriter_after_opt_a 0.01% : 0.000118s : 1: rewriter_before_opt_a 0.01% : 0.000103s : 1: symbol_engine_optimizer 95.24% : 1.391835s : 1: type_inference TotalTime = 1.34665, [30] [bootstrap]: 0.00031694 [type_inference]: 1.15934 [event_method]: 0.00081263 [auto_monad]: 0.00024302 [graph_reusing]: 1.108e-05 [pre_auto_parallel]: 4.33001e-06 [py_interpret_to_execute]: 0.0001073 [rewriter_before_opt_a]: 0.0001608 [expand_dump_flag]: 3.56999e-06 [jit_opt_a]: 0.182453, [2] [Cycle 1]: 0.177814, [27] [switch_simplify]: 0.0002107 [loop_unroll]: 6.125e-05 [a_1]: 0.166039 [with_stream_mark]: 5.005e-05 [recompute_prepare]: 4.124e-05 [updatestate_depend_eliminate]: 1.253e-05 [updatestate_assign_eliminate]: 8.18001e-06 [updatestate_loads_eliminate]: 7.21001e-06 [parameter_eliminate]: 4.70999e-06 [specialize_transform]: 2.015e-05 [updatestate_useless_node_eliminater]: 1.695e-05 [accelerated_algorithm]: 2.12e-05 [meta_shard_fg_expand]: 1.109e-05 [get_grad_eliminate_]: 1.764e-05 [merge_forward]: 1.091e-05 [cell_reuse_recompute_pass]: 1.71e-06 [cell_reuse_handle_not_recompute_node_pass]: 4.43e-05 [j_node_and_user_rematch]: 3.473e-05 [meta_fg_expand]: 0.00275034 [replace_old_param]: 9.677e-05 [inline_without_move]: 8.206e-05 [renormalize]: 0.00778712 [add_forward_monad_depend]: 9.92001e-06 [auto_monad_grad]: 3.04999e-06 [auto_monad_eliminator]: 1.922e-05 [cse]: 3.466e-05 [replace_applicator]: 2.583e-05 [Cycle 2]: 0.00053321, [27] [switch_simplify]: 6.28002e-06 [loop_unroll]: 5.76e-06 [a_1]: 6.818e-05 [with_stream_mark]: 1.512e-05 [recompute_prepare]: 4.85999e-06 [updatestate_depend_eliminate]: 3.66001e-06 [updatestate_assign_eliminate]: 2.52001e-06 [updatestate_loads_eliminate]: 2.39001e-06 [parameter_eliminate]: 1.87001e-06 [specialize_transform]: 4.35e-06 [updatestate_useless_node_eliminater]: 4.57998e-06 [accelerated_algorithm]: 5.44998e-06 [meta_shard_fg_expand]: 2.02999e-06 [get_grad_eliminate_]: 3.66001e-06 [merge_forward]: 3.76001e-06 [cell_reuse_recompute_pass]: 3.63999e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.781e-05 [j_node_and_user_rematch]: 8.33999e-06 [meta_fg_expand]: 0.0001936 [replace_old_param]: 7.41001e-06 [inline_without_move]: 4.22998e-06 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 2.68e-06 [auto_monad_grad]: 1.52001e-06 [auto_monad_eliminator]: 6.16e-06 [cse]: 1.531e-05 [replace_applicator]: 5.09998e-06 [py_interpret_to_execute_after_opt_a]: 1.388e-05 [rewriter_after_opt_a]: 0.00043255 [convert_after_rewriter]: 1.313e-05 [order_py_execute_after_rewriter]: 4.80001e-06 [mutable_eliminate]: 0.00082763 [jit_opt_b]: 5.985e-05, [1] [Cycle 1]: 4.969e-05, [2] [frontend_op_eliminate]: 1.771e-05 [inline_after_opt_a]: 1.751e-05 [cconv]: 3.312e-05 [loop_unroll]: 0.00053847 [jit_opt_after_cconv]: 0.00019618, [1] [Cycle 1]: 0.00018735, [11] [c_1]: 1.776e-05 [parameter_eliminate]: 5.69e-06 [updatestate_depend_eliminate]: 1.011e-05 [updatestate_assign_eliminate]: 2.33002e-06 [updatestate_loads_eliminate]: 2.37999e-06 [cse]: 3.622e-05 [call_graph_tuple_transform]: 2.382e-05 [tuple_list_get_item_eliminator]: 4.47e-06 [none_parameter_eliminate]: 1.57999e-06 [renormalize]: 9.50007e-07 [switch_simplify]: 7.63001e-06 [remove_dup_value]: 1.851e-05 [partial_unused_args_eliminate]: 2.41998e-06 [environ_conv]: 7.2e-06 [add_recomputation]: 4.642e-05 [cse_after_recomputation]: 2.596e-05, [1] [Cycle 1]: 1.91e-05, [1] [cse]: 1.104e-05 [auto_monad_reorder]: 1.563e-05 [get_jit_bprop_graph]: 2.23998e-06 [rewriter_after_jit_bprop_graph]: 9.79e-06 [opt_after_jit_grad]: 0.00056433 [symbol_engine_optimizer]: 8.046e-05, [1] [Cycle 1]: 7.245e-05, [6] [build]: 5.20999e-06 [elim_shapecalc]: 8.23001e-06 [elim_not_effective]: 1.246e-05 [opt_reshape]: 5.97999e-06 [fold_const_symbol]: 8.30999e-06 [renormalize]: 8.09989e-07 [validate]: 4.34e-05 Sums bootstrap : 0.000317s : 0.02% type_inference : 1.159339s : 86.41% event_method : 0.000813s : 0.06% auto_monad : 0.000243s : 0.02% graph_reusing : 0.000011s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000107s : 0.01% rewriter_before_opt_a : 0.000161s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000217s : 0.02% jit_opt_a.loop_unroll : 0.000067s : 0.00% jit_opt_a.a_1 : 0.166108s : 12.38% jit_opt_a.with_stream_mark : 0.000065s : 0.00% jit_opt_a.recompute_prepare : 0.000046s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000016s : 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 : 0.000025s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000022s : 0.00% jit_opt_a.accelerated_algorithm : 0.000027s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000013s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000021s : 0.00% jit_opt_a.merge_forward : 0.000015s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000062s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000043s : 0.00% jit_opt_a.meta_fg_expand : 0.002944s : 0.22% jit_opt_a.replace_old_param : 0.000104s : 0.01% jit_opt_a.inline_without_move : 0.000086s : 0.01% jit_opt_a.renormalize : 0.007787s : 0.58% 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 : 0.000025s : 0.00% jit_opt_a.cse : 0.000050s : 0.00% jit_opt_a.replace_applicator : 0.000031s : 0.00% py_interpret_to_execute_after_opt_a : 0.000014s : 0.00% rewriter_after_opt_a : 0.000433s : 0.03% convert_after_rewriter : 0.000013s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000828s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000018s : 0.00% jit_opt_b.inline_after_opt_a : 0.000018s : 0.00% cconv : 0.000033s : 0.00% loop_unroll : 0.000538s : 0.04% 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 : 0.000010s : 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 : 0.000036s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000024s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000004s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000008s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000007s : 0.00% add_recomputation : 0.000046s : 0.00% cse_after_recomputation.cse : 0.000011s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000010s : 0.00% opt_after_jit_grad : 0.000564s : 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 : 0.000012s : 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 : 0.000043s : 0.00% Time group info: ------[substitution.] 0.000741 65 0.24% : 0.000002s : 1: substitution.elim_not_effective 0.14% : 0.000001s : 1: substitution.fold_const_symbol 0.77% : 0.000006s : 1: substitution.graph_param_transform 79.58% : 0.000590s : 13: substitution.inline 4.36% : 0.000032s : 2: substitution.inline_without_move 1.31% : 0.000010s : 9: substitution.j_node_and_user_rematch 0.58% : 0.000004s : 2: substitution.minmaximum_grad 2.02% : 0.000015s : 9: substitution.partial_eliminate 1.27% : 0.000009s : 9: substitution.remove_not_recompute_node 0.50% : 0.000004s : 1: substitution.replace_applicator 1.00% : 0.000007s : 6: substitution.replace_old_param 0.68% : 0.000005s : 1: substitution.set_cell_output_no_recompute 2.14% : 0.000016s : 3: substitution.switch_simplify 1.53% : 0.000011s : 2: substitution.tuple_list_convert_item_index_to_positive 0.93% : 0.000007s : 2: substitution.tuple_list_get_item_depend_reorder 2.97% : 0.000022s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.159209 2 99.49% : 1.153252s : 1: type_inference.infer 0.51% : 0.005956s : 1: type_inference.specialize ------[replace.] 0.000242 17 67.29% : 0.000163s : 13: replace.inline 26.65% : 0.000064s : 3: replace.switch_simplify 6.06% : 0.000015s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000599 17 96.70% : 0.000579s : 13: match.inline 2.25% : 0.000013s : 3: match.switch_simplify 1.05% : 0.000006s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000311 1539 1.48% : 0.000005s : 26: predicate.accumulaten_eliminater 0.47% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.29% : 0.000004s : 26: predicate.addn_check_dump 1.55% : 0.000005s : 26: predicate.addn_zero_filter 1.85% : 0.000006s : 26: predicate.arithmetic_simplify 1.32% : 0.000004s : 26: predicate.cast_eliminate 0.16% : 0.000000s : 1: predicate.check_bprop_eliminate 1.18% : 0.000004s : 26: predicate.compare_switch_simplify 1.53% : 0.000005s : 26: predicate.depend_value_elim 1.19% : 0.000004s : 26: predicate.dict_get_item_const_eliminator 4.96% : 0.000015s : 26: predicate.dict_get_item_eliminator 1.26% : 0.000004s : 26: predicate.dict_set_item_eliminator 0.51% : 0.000002s : 1: predicate.dumpgradient_eliminate 0.22% : 0.000001s : 1: predicate.elim_not_effective 0.12% : 0.000000s : 1: predicate.elim_shapecalc_of_broadcastargs 1.24% : 0.000004s : 26: predicate.environ_add_const_eliminate 1.17% : 0.000004s : 26: predicate.environ_get_add_eliminate 1.11% : 0.000003s : 26: predicate.environ_get_depend_swap 1.55% : 0.000005s : 26: predicate.environ_get_eliminate 1.24% : 0.000004s : 26: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 1: predicate.fold_const_symbol 0.86% : 0.000003s : 13: predicate.get_grad_eliminate 0.11% : 0.000000s : 1: predicate.graph_param_transform 5.40% : 0.000017s : 42: predicate.inline 2.59% : 0.000008s : 35: predicate.inline_without_move 0.30% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.25% : 0.000004s : 13: predicate.less_batch_normalization 1.51% : 0.000005s : 27: predicate.list_to_tuple_eliminator_ 1.52% : 0.000005s : 28: predicate.load_eliminater 0.64% : 0.000002s : 1: predicate.loop_unroll_after_grad 3.41% : 0.000011s : 67: predicate.loop_unroll_before_grad 1.64% : 0.000005s : 27: predicate.make_slice_get_slice_eliminator 1.16% : 0.000004s : 26: predicate.merge_addn 1.19% : 0.000004s : 26: predicate.minmaximum_grad 1.00% : 0.000003s : 1: predicate.mutable_eliminate 0.14% : 0.000000s : 1: predicate.opt_reshape 1.70% : 0.000005s : 28: predicate.partial_eliminate 1.45% : 0.000005s : 26: predicate.print_const_string_wrapper 2.34% : 0.000007s : 26: predicate.reduce_eliminate 1.53% : 0.000005s : 27: predicate.redundant_stop_gradient_eliminater 0.58% : 0.000002s : 13: predicate.remove_not_recompute_node 1.37% : 0.000004s : 29: predicate.replace_applicator 1.31% : 0.000004s : 35: predicate.replace_old_param 0.21% : 0.000001s : 1: predicate.reset_defer_inline 1.27% : 0.000004s : 26: predicate.reshape_eliminate 1.51% : 0.000005s : 26: predicate.row_tensor_add_zeros_like 0.39% : 0.000001s : 1: predicate.row_tensor_eliminate 1.47% : 0.000005s : 26: predicate.same_eliminate 0.57% : 0.000002s : 13: predicate.set_cell_output_no_recompute 0.35% : 0.000001s : 2: predicate.special_op_eliminate 1.19% : 0.000004s : 13: predicate.specialize_transform 1.74% : 0.000005s : 26: predicate.split_environ_get_set_with_tuple_value 1.28% : 0.000004s : 26: predicate.stack_unstack_eliminate 0.08% : 0.000000s : 1: predicate.switch_call_monad_eliminater 4.74% : 0.000015s : 40: predicate.switch_defer_inline 2.33% : 0.000007s : 40: predicate.switch_layer_defer_inline 6.38% : 0.000020s : 114: predicate.switch_simplify 1.29% : 0.000004s : 26: predicate.tile_eliminate 1.17% : 0.000004s : 26: predicate.transpose_eliminate 1.80% : 0.000006s : 26: predicate.tuple_list_convert_item_index_to_positive 1.43% : 0.000004s : 26: predicate.tuple_list_get_item_depend_reorder 3.10% : 0.000010s : 29: predicate.tuple_list_get_item_eliminator 1.97% : 0.000006s : 26: predicate.tuple_list_set_item_eliminator 1.35% : 0.000004s : 27: predicate.tuple_to_list_eliminator_ 1.28% : 0.000004s : 28: predicate.updatestate_pure_node_eliminater 2.41% : 0.000007s : 41: predicate.updatestate_useless_node_eliminater 1.93% : 0.000006s : 26: predicate.value_based_eliminate 0.06% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.26% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.004217 37 81.25% : 0.003426s : 21: func_graph_cloner_run.FuncGraphClonerGraph 18.75% : 0.000791s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.521259 72 0.00% : 0.000051s : 1: add_recomputation 0.02% : 0.000253s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.02% : 0.000345s : 1: bootstrap 0.00% : 0.000036s : 1: cconv 0.00% : 0.000017s : 1: convert_after_rewriter 0.00% : 0.000028s : 1: cse_after_recomputation 0.00% : 0.000009s : 1: environ_conv 0.05% : 0.000822s : 1: event_method 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000014s : 1: graph_reusing 11.99% : 0.182458s : 1: jit_opt_a 0.01% : 0.000200s : 1: jit_opt_after_cconv 0.00% : 0.000063s : 1: jit_opt_b 0.04% : 0.000549s : 1: loop_unroll 0.06% : 0.000840s : 1: mutable_eliminate 10.96% : 0.166805s : 26: opt.transform.jit_opt_a 0.00% : 0.000049s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000026s : 4: opt.transform.jit_opt_b 0.00% : 0.000012s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000021s : 1: opt.transform.mutable_eliminate 0.00% : 0.000023s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000030s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000579s : 1: opt_after_jit_grad 0.00% : 0.000007s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.01% : 0.000112s : 1: py_interpret_to_execute 0.00% : 0.000016s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000021s : 1: remove_dup_value 0.45% : 0.006836s : 1: renormalize.infer 0.06% : 0.000935s : 1: renormalize.specialize 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000441s : 1: rewriter_after_opt_a 0.01% : 0.000165s : 1: rewriter_before_opt_a 0.01% : 0.000084s : 1: symbol_engine_optimizer 76.21% : 1.159358s : 1: type_inference . [hook] pytest_runtest_teardown:test_squeeze_negative_dim[KBK] tests/st/mint/test_squeeze.py::test_squeeze_negative_dim[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 101.46s (0:01:41) ==================