==================================================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_003/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 14 items test_squeeze.py . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape0-0-pynative] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape0-0-pynative],max_mem:2.0M [WARNING] PARSER(168535,ffffbedb2f30,python3.9):2026-01-29-17:41:47.095.776 [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 = 2.28665, [30] [bootstrap]: 0.00144999 [type_inference]: 2.06354 [event_method]: 2.421e-05 [auto_monad]: 0.00011294 [graph_reusing]: 7e-06 [pre_auto_parallel]: 1.387e-05 [py_interpret_to_execute]: 0.00070669 [rewriter_before_opt_a]: 0.0001036 [expand_dump_flag]: 4.04002e-06 [jit_opt_a]: 0.216872, [2] [Cycle 1]: 0.00424226, [27] [switch_simplify]: 7.33e-05 [loop_unroll]: 2.804e-05 [a_1]: 0.00058575 [with_stream_mark]: 2.856e-05 [recompute_prepare]: 9.77999e-06 [updatestate_depend_eliminate]: 5.03002e-06 [updatestate_assign_eliminate]: 3.7e-06 [updatestate_loads_eliminate]: 3.18e-06 [parameter_eliminate]: 2.38998e-06 [specialize_transform]: 7.60998e-06 [updatestate_useless_node_eliminater]: 6.39999e-06 [accelerated_algorithm]: 7.15e-06 [meta_shard_fg_expand]: 2.21998e-06 [get_grad_eliminate_]: 7.31001e-06 [merge_forward]: 4.28999e-06 [cell_reuse_recompute_pass]: 1.42e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.136e-05 [j_node_and_user_rematch]: 1.168e-05 [meta_fg_expand]: 2.72001e-06 [replace_old_param]: 1.215e-05 [inline_without_move]: 6.39001e-06 [renormalize]: 0.00304364 [add_forward_monad_depend]: 1.733e-05 [auto_monad_grad]: 2.48002e-06 [auto_monad_eliminator]: 2.173e-05 [cse]: 5.089e-05 [replace_applicator]: 2.496e-05 [Cycle 2]: 0.00042205, [27] [switch_simplify]: 8.35001e-06 [loop_unroll]: 6.41e-06 [a_1]: 0.00013222 [with_stream_mark]: 1.843e-05 [recompute_prepare]: 7.02002e-06 [updatestate_depend_eliminate]: 3.68999e-06 [updatestate_assign_eliminate]: 3.51001e-06 [updatestate_loads_eliminate]: 2.83e-06 [parameter_eliminate]: 2.12001e-06 [specialize_transform]: 6.30002e-06 [updatestate_useless_node_eliminater]: 6.12001e-06 [accelerated_algorithm]: 6.91999e-06 [meta_shard_fg_expand]: 2.79999e-06 [get_grad_eliminate_]: 5.70001e-06 [merge_forward]: 4.13001e-06 [cell_reuse_recompute_pass]: 3.25002e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.996e-05 [j_node_and_user_rematch]: 9.99999e-06 [meta_fg_expand]: 3.09001e-06 [replace_old_param]: 1.101e-05 [inline_without_move]: 5.91e-06 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 1.45999e-06 [auto_monad_grad]: 1.39e-06 [auto_monad_eliminator]: 7e-06 [cse]: 1.586e-05 [replace_applicator]: 6.19999e-06 [py_interpret_to_execute_after_opt_a]: 1.682e-05 [rewriter_after_opt_a]: 6.77e-05 [convert_after_rewriter]: 8.35001e-06 [order_py_execute_after_rewriter]: 5.76e-06 [mutable_eliminate]: 0.00081681 [jit_opt_b]: 6.491e-05, [1] [Cycle 1]: 5.528e-05, [2] [frontend_op_eliminate]: 2.156e-05 [inline_after_opt_a]: 1.996e-05 [cconv]: 4.069e-05 [loop_unroll]: 0.00059494 [jit_opt_after_cconv]: 0.00021521, [1] [Cycle 1]: 0.00020635, [11] [c_1]: 3.11e-05 [parameter_eliminate]: 6.38e-06 [updatestate_depend_eliminate]: 1.213e-05 [updatestate_assign_eliminate]: 3.75e-06 [updatestate_loads_eliminate]: 3.53999e-06 [cse]: 4.312e-05 [call_graph_tuple_transform]: 3.03e-05 [tuple_list_get_item_eliminator]: 7.45e-06 [none_parameter_eliminate]: 2.69999e-06 [renormalize]: 1.48002e-06 [switch_simplify]: 7.06001e-06 [remove_dup_value]: 8.618e-05 [partial_unused_args_eliminate]: 2.52001e-06 [environ_conv]: 8.862e-05 [add_recomputation]: 7.734e-05 [cse_after_recomputation]: 3.719e-05, [1] [Cycle 1]: 2.984e-05, [1] [cse]: 1.903e-05 [auto_monad_reorder]: 2.837e-05 [get_jit_bprop_graph]: 3.07002e-06 [rewriter_after_jit_bprop_graph]: 0.00015901 [opt_after_jit_grad]: 0.00081838 [symbol_engine_optimizer]: 0.00010478, [1] [Cycle 1]: 9.48e-05, [6] [build]: 8.1e-06 [elim_shapecalc]: 1.168e-05 [elim_not_effective]: 1.983e-05 [opt_reshape]: 8.48999e-06 [fold_const_symbol]: 1.291e-05 [renormalize]: 8.10018e-07 [validate]: 8.632e-05 Sums bootstrap : 0.001450s : 0.07% type_inference : 2.063538s : 99.52% event_method : 0.000024s : 0.00% auto_monad : 0.000113s : 0.01% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000014s : 0.00% py_interpret_to_execute : 0.000707s : 0.03% rewriter_before_opt_a : 0.000104s : 0.00% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000082s : 0.00% jit_opt_a.loop_unroll : 0.000034s : 0.00% jit_opt_a.a_1 : 0.000718s : 0.03% 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 : 0.000009s : 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 : 0.000005s : 0.00% jit_opt_a.specialize_transform : 0.000014s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000013s : 0.00% jit_opt_a.accelerated_algorithm : 0.000014s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000013s : 0.00% jit_opt_a.merge_forward : 0.000008s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000041s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000022s : 0.00% jit_opt_a.meta_fg_expand : 0.000006s : 0.00% jit_opt_a.replace_old_param : 0.000023s : 0.00% jit_opt_a.inline_without_move : 0.000012s : 0.00% jit_opt_a.renormalize : 0.003044s : 0.15% jit_opt_a.add_forward_monad_depend : 0.000019s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000029s : 0.00% jit_opt_a.cse : 0.000067s : 0.00% jit_opt_a.replace_applicator : 0.000031s : 0.00% py_interpret_to_execute_after_opt_a : 0.000017s : 0.00% rewriter_after_opt_a : 0.000068s : 0.00% convert_after_rewriter : 0.000008s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000817s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000022s : 0.00% jit_opt_b.inline_after_opt_a : 0.000020s : 0.00% cconv : 0.000041s : 0.00% loop_unroll : 0.000595s : 0.03% jit_opt_after_cconv.c_1 : 0.000031s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.cse : 0.000043s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000030s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000007s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000086s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000089s : 0.00% add_recomputation : 0.000077s : 0.00% cse_after_recomputation.cse : 0.000019s : 0.00% auto_monad_reorder : 0.000028s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000159s : 0.01% opt_after_jit_grad : 0.000818s : 0.04% symbol_engine_optimizer.build : 0.000008s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000012s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000020s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000008s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000013s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000086s : 0.00% Time group info: ------[substitution.] 0.000236 23 1.10% : 0.000003s : 2: substitution.elim_not_effective 0.78% : 0.000002s : 2: substitution.fold_const_symbol 3.24% : 0.000008s : 4: substitution.graph_param_transform 83.14% : 0.000196s : 4: substitution.inline 1.82% : 0.000004s : 4: substitution.j_node_and_user_rematch 2.23% : 0.000005s : 4: substitution.remove_not_recompute_node 3.09% : 0.000007s : 2: substitution.replace_old_param 4.60% : 0.000011s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 2.063427 2 99.87% : 2.060829s : 1: type_inference.infer 0.13% : 0.002598s : 1: type_inference.specialize ------[replace.] 0.000059 5 84.34% : 0.000050s : 4: replace.inline 15.66% : 0.000009s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000204 5 95.08% : 0.000194s : 4: match.inline 4.92% : 0.000010s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000154 801 1.31% : 0.000002s : 12: predicate.accumulaten_eliminater 1.74% : 0.000003s : 4: predicate.ad_related_special_op_eliminate 1.22% : 0.000002s : 12: predicate.addn_check_dump 1.36% : 0.000002s : 12: predicate.addn_zero_filter 1.99% : 0.000003s : 12: predicate.arithmetic_simplify 1.34% : 0.000002s : 12: predicate.cast_eliminate 0.40% : 0.000001s : 4: predicate.check_bprop_eliminate 1.09% : 0.000002s : 12: predicate.compare_switch_simplify 1.47% : 0.000002s : 12: predicate.depend_value_elim 1.01% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.15% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.13% : 0.000002s : 12: predicate.dict_set_item_eliminator 1.94% : 0.000003s : 4: predicate.dumpgradient_eliminate 0.37% : 0.000001s : 4: predicate.elim_not_effective 0.69% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.11% : 0.000002s : 12: predicate.environ_add_const_eliminate 1.15% : 0.000002s : 12: predicate.environ_get_add_eliminate 1.08% : 0.000002s : 12: predicate.environ_get_depend_swap 1.31% : 0.000002s : 12: predicate.environ_get_eliminate 0.98% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.28% : 0.000000s : 4: predicate.fold_const_symbol 1.07% : 0.000002s : 8: predicate.get_grad_eliminate 0.25% : 0.000000s : 4: predicate.graph_param_transform 6.06% : 0.000009s : 25: predicate.inline 0.81% : 0.000001s : 8: predicate.inline_without_move 0.41% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.49% : 0.000002s : 8: predicate.less_batch_normalization 1.33% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.54% : 0.000002s : 17: predicate.load_eliminater 2.04% : 0.000003s : 4: predicate.loop_unroll_after_grad 3.10% : 0.000005s : 28: predicate.loop_unroll_before_grad 1.87% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.02% : 0.000002s : 12: predicate.merge_addn 0.95% : 0.000001s : 12: predicate.minmaximum_grad 2.07% : 0.000003s : 4: predicate.mutable_eliminate 0.52% : 0.000001s : 4: predicate.opt_reshape 1.99% : 0.000003s : 17: predicate.partial_eliminate 1.36% : 0.000002s : 12: predicate.print_const_string_wrapper 1.54% : 0.000002s : 12: predicate.reduce_eliminate 1.31% : 0.000002s : 13: predicate.redundant_stop_gradient_eliminater 0.60% : 0.000001s : 8: predicate.remove_not_recompute_node 1.74% : 0.000003s : 21: predicate.replace_applicator 1.08% : 0.000002s : 8: predicate.replace_old_param 0.28% : 0.000000s : 4: predicate.reset_defer_inline 1.29% : 0.000002s : 12: predicate.reshape_eliminate 1.30% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.92% : 0.000001s : 4: predicate.row_tensor_eliminate 1.31% : 0.000002s : 12: predicate.same_eliminate 0.58% : 0.000001s : 8: predicate.set_cell_output_no_recompute 0.99% : 0.000002s : 8: predicate.special_op_eliminate 1.08% : 0.000002s : 8: predicate.specialize_transform 1.24% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 1.50% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.43% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.49% : 0.000004s : 17: predicate.switch_defer_inline 1.78% : 0.000003s : 17: predicate.switch_layer_defer_inline 6.54% : 0.000010s : 49: predicate.switch_simplify 1.28% : 0.000002s : 12: predicate.tile_eliminate 1.24% : 0.000002s : 12: predicate.transpose_eliminate 1.63% : 0.000003s : 12: predicate.tuple_list_convert_item_index_to_positive 1.28% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 3.87% : 0.000006s : 21: predicate.tuple_list_get_item_eliminator 1.49% : 0.000002s : 12: predicate.tuple_list_set_item_eliminator 1.51% : 0.000002s : 13: predicate.tuple_to_list_eliminator_ 1.69% : 0.000003s : 17: predicate.updatestate_pure_node_eliminater 2.97% : 0.000005s : 25: predicate.updatestate_useless_node_eliminater 2.03% : 0.000003s : 12: predicate.value_based_eliminate 0.41% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.63% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003285 18 74.34% : 0.002442s : 12: func_graph_cloner_run.FuncGraphClonerGraph 25.66% : 0.000843s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.290521 72 0.00% : 0.000083s : 1: add_recomputation 0.01% : 0.000118s : 1: auto_monad 0.00% : 0.000032s : 1: auto_monad_reorder 0.06% : 0.001483s : 1: bootstrap 0.00% : 0.000046s : 1: cconv 0.00% : 0.000011s : 1: convert_after_rewriter 0.00% : 0.000039s : 1: cse_after_recomputation 0.00% : 0.000093s : 1: environ_conv 0.00% : 0.000031s : 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 9.47% : 0.216876s : 1: jit_opt_a 0.01% : 0.000219s : 1: jit_opt_after_cconv 0.00% : 0.000068s : 1: jit_opt_b 0.03% : 0.000608s : 1: loop_unroll 0.04% : 0.000830s : 1: mutable_eliminate 0.04% : 0.000983s : 26: opt.transform.jit_opt_a 0.00% : 0.000071s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000033s : 4: opt.transform.jit_opt_b 0.00% : 0.000020s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000021s : 1: opt.transform.mutable_eliminate 0.00% : 0.000039s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000048s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000836s : 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% : 0.000016s : 1: pre_auto_parallel 0.03% : 0.000718s : 1: py_interpret_to_execute 0.00% : 0.000020s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000090s : 1: remove_dup_value 0.09% : 0.002070s : 1: renormalize.infer 0.04% : 0.000959s : 1: renormalize.specialize 0.01% : 0.000164s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000071s : 1: rewriter_after_opt_a 0.00% : 0.000108s : 1: rewriter_before_opt_a 0.00% : 0.000109s : 1: symbol_engine_optimizer 90.09% : 2.063572s : 1: type_inference TotalTime = 1.66792, [30] [bootstrap]: 0.00059069 [type_inference]: 1.42098 [event_method]: 0.00064433 [auto_monad]: 0.00019153 [graph_reusing]: 1.072e-05 [pre_auto_parallel]: 3.8e-06 [py_interpret_to_execute]: 6.271e-05 [rewriter_before_opt_a]: 0.00016136 [expand_dump_flag]: 4.18001e-06 [jit_opt_a]: 0.018198, [2] [Cycle 1]: 0.011747, [27] [switch_simplify]: 0.0002485 [loop_unroll]: 6.232e-05 [a_1]: 0.00150233 [with_stream_mark]: 4.481e-05 [recompute_prepare]: 3.115e-05 [updatestate_depend_eliminate]: 1.062e-05 [updatestate_assign_eliminate]: 7.76001e-06 [updatestate_loads_eliminate]: 6.73e-06 [parameter_eliminate]: 3.38e-06 [specialize_transform]: 1.706e-05 [updatestate_useless_node_eliminater]: 1.463e-05 [accelerated_algorithm]: 1.504e-05 [meta_shard_fg_expand]: 4.52003e-06 [get_grad_eliminate_]: 1.402e-05 [merge_forward]: 1.03e-05 [cell_reuse_recompute_pass]: 1.25999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.582e-05 [j_node_and_user_rematch]: 4.436e-05 [meta_fg_expand]: 0.00240951 [replace_old_param]: 7.25e-05 [inline_without_move]: 0.00012097 [renormalize]: 0.00662767 [add_forward_monad_depend]: 2.322e-05 [auto_monad_grad]: 2.98998e-06 [auto_monad_eliminator]: 1.756e-05 [cse]: 3.446e-05 [replace_applicator]: 2.643e-05 [Cycle 2]: 0.00048456, [27] [switch_simplify]: 6.33e-06 [loop_unroll]: 4.84e-06 [a_1]: 5.665e-05 [with_stream_mark]: 1.427e-05 [recompute_prepare]: 4.35e-06 [updatestate_depend_eliminate]: 3.83999e-06 [updatestate_assign_eliminate]: 3.05998e-06 [updatestate_loads_eliminate]: 2.39999e-06 [parameter_eliminate]: 2.13002e-06 [specialize_transform]: 4.62998e-06 [updatestate_useless_node_eliminater]: 4.37e-06 [accelerated_algorithm]: 4.94e-06 [meta_shard_fg_expand]: 2.40002e-06 [get_grad_eliminate_]: 4.03001e-06 [merge_forward]: 4.38999e-06 [cell_reuse_recompute_pass]: 3.8e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.754e-05 [j_node_and_user_rematch]: 7.30998e-06 [meta_fg_expand]: 0.00015336 [replace_old_param]: 6.68998e-06 [inline_without_move]: 4.37e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 1.83002e-06 [auto_monad_grad]: 1.29e-06 [auto_monad_eliminator]: 6.28e-06 [cse]: 1.647e-05 [replace_applicator]: 4.53001e-06 [py_interpret_to_execute_after_opt_a]: 1.58e-05 [rewriter_after_opt_a]: 0.0003782 [convert_after_rewriter]: 1.239e-05 [order_py_execute_after_rewriter]: 6.14999e-06 [mutable_eliminate]: 0.00082817 [jit_opt_b]: 5.507e-05, [1] [Cycle 1]: 4.66e-05, [2] [frontend_op_eliminate]: 1.675e-05 [inline_after_opt_a]: 1.552e-05 [cconv]: 3.786e-05 [loop_unroll]: 0.00049754 [jit_opt_after_cconv]: 0.00016647, [1] [Cycle 1]: 0.0001591, [11] [c_1]: 1.79e-05 [parameter_eliminate]: 5.28002e-06 [updatestate_depend_eliminate]: 8e-06 [updatestate_assign_eliminate]: 2.43998e-06 [updatestate_loads_eliminate]: 3.91999e-06 [cse]: 3.335e-05 [call_graph_tuple_transform]: 1.981e-05 [tuple_list_get_item_eliminator]: 4.95999e-06 [none_parameter_eliminate]: 1.62001e-06 [renormalize]: 6.50005e-07 [switch_simplify]: 4.75999e-06 [remove_dup_value]: 1.815e-05 [partial_unused_args_eliminate]: 2.56e-06 [environ_conv]: 6.56e-06 [add_recomputation]: 4.903e-05 [cse_after_recomputation]: 2.375e-05, [1] [Cycle 1]: 1.718e-05, [1] [cse]: 9.57001e-06 [auto_monad_reorder]: 1.501e-05 [get_jit_bprop_graph]: 2.37001e-06 [rewriter_after_jit_bprop_graph]: 7.85e-06 [opt_after_jit_grad]: 0.224517 [symbol_engine_optimizer]: 0.00010178, [1] [Cycle 1]: 8.77e-05, [6] [build]: 7.95998e-06 [elim_shapecalc]: 8.03999e-06 [elim_not_effective]: 2.201e-05 [opt_reshape]: 5.44e-06 [fold_const_symbol]: 8.08999e-06 [renormalize]: 1.37e-06 [validate]: 4.865e-05 Sums bootstrap : 0.000591s : 0.04% type_inference : 1.420980s : 85.55% event_method : 0.000644s : 0.04% auto_monad : 0.000192s : 0.01% graph_reusing : 0.000011s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000063s : 0.00% rewriter_before_opt_a : 0.000161s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000255s : 0.02% jit_opt_a.loop_unroll : 0.000067s : 0.00% jit_opt_a.a_1 : 0.001559s : 0.09% jit_opt_a.with_stream_mark : 0.000059s : 0.00% jit_opt_a.recompute_prepare : 0.000036s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000014s : 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 : 0.000020s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000007s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000018s : 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 : 0.000053s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000052s : 0.00% jit_opt_a.meta_fg_expand : 0.002563s : 0.15% jit_opt_a.replace_old_param : 0.000079s : 0.00% jit_opt_a.inline_without_move : 0.000125s : 0.01% jit_opt_a.renormalize : 0.006628s : 0.40% jit_opt_a.add_forward_monad_depend : 0.000025s : 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 : 0.000031s : 0.00% py_interpret_to_execute_after_opt_a : 0.000016s : 0.00% rewriter_after_opt_a : 0.000378s : 0.02% convert_after_rewriter : 0.000012s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000828s : 0.05% jit_opt_b.frontend_op_eliminate : 0.000017s : 0.00% jit_opt_b.inline_after_opt_a : 0.000016s : 0.00% cconv : 0.000038s : 0.00% loop_unroll : 0.000498s : 0.03% jit_opt_after_cconv.c_1 : 0.000018s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.cse : 0.000033s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000020s : 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 : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000007s : 0.00% add_recomputation : 0.000049s : 0.00% cse_after_recomputation.cse : 0.000010s : 0.00% auto_monad_reorder : 0.000015s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.224517s : 13.52% symbol_engine_optimizer.build : 0.000008s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000008s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000022s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000005s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000008s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000049s : 0.00% Time group info: ------[substitution.] 0.000581 65 0.42% : 0.000002s : 1: substitution.elim_not_effective 0.22% : 0.000001s : 1: substitution.fold_const_symbol 0.86% : 0.000005s : 1: substitution.graph_param_transform 63.56% : 0.000370s : 13: substitution.inline 12.39% : 0.000072s : 2: substitution.inline_without_move 3.95% : 0.000023s : 9: substitution.j_node_and_user_rematch 0.74% : 0.000004s : 2: substitution.minmaximum_grad 5.39% : 0.000031s : 9: substitution.partial_eliminate 1.60% : 0.000009s : 9: substitution.remove_not_recompute_node 0.51% : 0.000003s : 1: substitution.replace_applicator 1.08% : 0.000006s : 6: substitution.replace_old_param 0.59% : 0.000003s : 1: substitution.set_cell_output_no_recompute 3.09% : 0.000018s : 3: substitution.switch_simplify 1.59% : 0.000009s : 2: substitution.tuple_list_convert_item_index_to_positive 1.07% : 0.000006s : 2: substitution.tuple_list_get_item_depend_reorder 2.93% : 0.000017s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.420837 2 99.68% : 1.416345s : 1: type_inference.infer 0.32% : 0.004492s : 1: type_inference.specialize ------[replace.] 0.000211 17 56.83% : 0.000120s : 13: replace.inline 38.34% : 0.000081s : 3: replace.switch_simplify 4.82% : 0.000010s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000381 17 94.87% : 0.000362s : 13: match.inline 4.15% : 0.000016s : 3: match.switch_simplify 0.98% : 0.000004s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000269 1539 1.55% : 0.000004s : 26: predicate.accumulaten_eliminater 1.44% : 0.000004s : 1: predicate.ad_related_special_op_eliminate 1.22% : 0.000003s : 26: predicate.addn_check_dump 1.34% : 0.000004s : 26: predicate.addn_zero_filter 2.01% : 0.000005s : 26: predicate.arithmetic_simplify 1.31% : 0.000004s : 26: predicate.cast_eliminate 0.27% : 0.000001s : 1: predicate.check_bprop_eliminate 1.30% : 0.000004s : 26: predicate.compare_switch_simplify 1.39% : 0.000004s : 26: predicate.depend_value_elim 1.40% : 0.000004s : 26: predicate.dict_get_item_const_eliminator 1.29% : 0.000003s : 26: predicate.dict_get_item_eliminator 1.42% : 0.000004s : 26: predicate.dict_set_item_eliminator 1.48% : 0.000004s : 1: predicate.dumpgradient_eliminate 0.24% : 0.000001s : 1: predicate.elim_not_effective 0.20% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 1.52% : 0.000004s : 26: predicate.environ_add_const_eliminate 1.24% : 0.000003s : 26: predicate.environ_get_add_eliminate 1.27% : 0.000003s : 26: predicate.environ_get_depend_swap 1.30% : 0.000003s : 26: predicate.environ_get_eliminate 1.25% : 0.000003s : 26: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 1: predicate.fold_const_symbol 0.86% : 0.000002s : 13: predicate.get_grad_eliminate 0.14% : 0.000000s : 1: predicate.graph_param_transform 4.91% : 0.000013s : 42: predicate.inline 3.06% : 0.000008s : 35: predicate.inline_without_move 0.37% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.11% : 0.000003s : 13: predicate.less_batch_normalization 1.39% : 0.000004s : 27: predicate.list_to_tuple_eliminator_ 1.80% : 0.000005s : 28: predicate.load_eliminater 0.59% : 0.000002s : 1: predicate.loop_unroll_after_grad 4.02% : 0.000011s : 67: predicate.loop_unroll_before_grad 1.77% : 0.000005s : 27: predicate.make_slice_get_slice_eliminator 1.32% : 0.000004s : 26: predicate.merge_addn 1.27% : 0.000003s : 26: predicate.minmaximum_grad 0.87% : 0.000002s : 1: predicate.mutable_eliminate 0.19% : 0.000001s : 1: predicate.opt_reshape 1.90% : 0.000005s : 28: predicate.partial_eliminate 1.28% : 0.000003s : 26: predicate.print_const_string_wrapper 1.72% : 0.000005s : 26: predicate.reduce_eliminate 1.46% : 0.000004s : 27: predicate.redundant_stop_gradient_eliminater 0.54% : 0.000001s : 13: predicate.remove_not_recompute_node 1.58% : 0.000004s : 29: predicate.replace_applicator 1.38% : 0.000004s : 35: predicate.replace_old_param 0.05% : 0.000000s : 1: predicate.reset_defer_inline 1.41% : 0.000004s : 26: predicate.reshape_eliminate 1.48% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.46% : 0.000001s : 1: predicate.row_tensor_eliminate 1.43% : 0.000004s : 26: predicate.same_eliminate 0.60% : 0.000002s : 13: predicate.set_cell_output_no_recompute 0.63% : 0.000002s : 2: predicate.special_op_eliminate 0.98% : 0.000003s : 13: predicate.specialize_transform 1.51% : 0.000004s : 26: predicate.split_environ_get_set_with_tuple_value 1.41% : 0.000004s : 26: predicate.stack_unstack_eliminate 0.10% : 0.000000s : 1: predicate.switch_call_monad_eliminater 3.03% : 0.000008s : 40: predicate.switch_defer_inline 2.47% : 0.000007s : 40: predicate.switch_layer_defer_inline 7.51% : 0.000020s : 114: predicate.switch_simplify 1.35% : 0.000004s : 26: predicate.tile_eliminate 1.36% : 0.000004s : 26: predicate.transpose_eliminate 1.55% : 0.000004s : 26: predicate.tuple_list_convert_item_index_to_positive 1.67% : 0.000004s : 26: predicate.tuple_list_get_item_depend_reorder 3.30% : 0.000009s : 29: predicate.tuple_list_get_item_eliminator 1.83% : 0.000005s : 26: predicate.tuple_list_set_item_eliminator 1.52% : 0.000004s : 27: predicate.tuple_to_list_eliminator_ 1.68% : 0.000005s : 28: predicate.updatestate_pure_node_eliminater 2.62% : 0.000007s : 41: predicate.updatestate_useless_node_eliminater 1.48% : 0.000004s : 26: predicate.value_based_eliminate 0.27% : 0.000001s : 1: predicate.virtual_view_grad_eliminate 0.29% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003863 37 83.07% : 0.003209s : 21: func_graph_cloner_run.FuncGraphClonerGraph 16.93% : 0.000654s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.676887 72 0.00% : 0.000052s : 1: add_recomputation 0.01% : 0.000202s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.04% : 0.000621s : 1: bootstrap 0.00% : 0.000041s : 1: cconv 0.00% : 0.000017s : 1: convert_after_rewriter 0.00% : 0.000026s : 1: cse_after_recomputation 0.00% : 0.000009s : 1: environ_conv 0.04% : 0.000658s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000013s : 1: graph_reusing 1.09% : 0.018202s : 1: jit_opt_a 0.01% : 0.000170s : 1: jit_opt_after_cconv 0.00% : 0.000058s : 1: jit_opt_b 0.03% : 0.000508s : 1: loop_unroll 0.05% : 0.000840s : 1: mutable_eliminate 0.14% : 0.002288s : 26: opt.transform.jit_opt_a 0.00% : 0.000043s : 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% : 0.000018s : 1: opt.transform.mutable_eliminate 0.00% : 0.000055s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000039s : 4: opt.transform.symbol_engine_opt 13.39% : 0.224551s : 1: opt_after_jit_grad 0.00% : 0.000009s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.00% : 0.000066s : 1: py_interpret_to_execute 0.00% : 0.000019s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000021s : 1: remove_dup_value 0.35% : 0.005904s : 1: renormalize.infer 0.04% : 0.000709s : 1: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000387s : 1: rewriter_after_opt_a 0.01% : 0.000165s : 1: rewriter_before_opt_a 0.01% : 0.000106s : 1: symbol_engine_optimizer 84.74% : 1.421006s : 1: type_inference . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape0-0-KBK] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape0-0-KBK],max_mem:4.0M . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape1-1-pynative] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape1-1-pynative],max_mem:4.0M TotalTime = 1.37363, [30] [bootstrap]: 0.00075669 [type_inference]: 1.23753 [event_method]: 2.414e-05 [auto_monad]: 8.363e-05 [graph_reusing]: 6.76e-06 [pre_auto_parallel]: 2.94999e-06 [py_interpret_to_execute]: 0.00062912 [rewriter_before_opt_a]: 9.33e-05 [expand_dump_flag]: 4.1e-06 [jit_opt_a]: 0.0108034, [2] [Cycle 1]: 0.00494658, [27] [switch_simplify]: 6.484e-05 [loop_unroll]: 2.673e-05 [a_1]: 0.00060328 [with_stream_mark]: 3.026e-05 [recompute_prepare]: 1.191e-05 [updatestate_depend_eliminate]: 4.89e-06 [updatestate_assign_eliminate]: 3.52997e-06 [updatestate_loads_eliminate]: 3.33e-06 [parameter_eliminate]: 1.87001e-06 [specialize_transform]: 8.25999e-06 [updatestate_useless_node_eliminater]: 6.58998e-06 [accelerated_algorithm]: 7.52998e-06 [meta_shard_fg_expand]: 2.68e-06 [get_grad_eliminate_]: 6.44001e-06 [merge_forward]: 4.24002e-06 [cell_reuse_recompute_pass]: 1.48002e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.897e-05 [j_node_and_user_rematch]: 1.14e-05 [meta_fg_expand]: 2.76e-06 [replace_old_param]: 1.127e-05 [inline_without_move]: 7.08e-06 [renormalize]: 0.00375889 [add_forward_monad_depend]: 2.047e-05 [auto_monad_grad]: 2.64001e-06 [auto_monad_eliminator]: 2.285e-05 [cse]: 3.679e-05 [replace_applicator]: 2.742e-05 [Cycle 2]: 0.00043335, [27] [switch_simplify]: 7.63999e-06 [loop_unroll]: 6.78e-06 [a_1]: 0.00013634 [with_stream_mark]: 1.83e-05 [recompute_prepare]: 6.55002e-06 [updatestate_depend_eliminate]: 4.88001e-06 [updatestate_assign_eliminate]: 3.37002e-06 [updatestate_loads_eliminate]: 3.36001e-06 [parameter_eliminate]: 1.91998e-06 [specialize_transform]: 6.14001e-06 [updatestate_useless_node_eliminater]: 6.31998e-06 [accelerated_algorithm]: 6.11998e-06 [meta_shard_fg_expand]: 2.11e-06 [get_grad_eliminate_]: 5.71e-06 [merge_forward]: 3.99002e-06 [cell_reuse_recompute_pass]: 3.41001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.26e-05 [j_node_and_user_rematch]: 1.082e-05 [meta_fg_expand]: 2.17001e-06 [replace_old_param]: 1.189e-05 [inline_without_move]: 6.56e-06 [renormalize]: 1.10012e-07 [add_forward_monad_depend]: 2.22999e-06 [auto_monad_grad]: 1.10001e-06 [auto_monad_eliminator]: 7.16001e-06 [cse]: 1.628e-05 [replace_applicator]: 6.03998e-06 [py_interpret_to_execute_after_opt_a]: 1.832e-05 [rewriter_after_opt_a]: 9.233e-05 [convert_after_rewriter]: 8.40001e-06 [order_py_execute_after_rewriter]: 5.16998e-06 [mutable_eliminate]: 0.00081539 [jit_opt_b]: 6.515e-05, [1] [Cycle 1]: 5.597e-05, [2] [frontend_op_eliminate]: 2.161e-05 [inline_after_opt_a]: 2.093e-05 [cconv]: 3.629e-05 [loop_unroll]: 0.00047866 [jit_opt_after_cconv]: 0.00030128, [1] [Cycle 1]: 0.00029347, [11] [c_1]: 2.793e-05 [parameter_eliminate]: 6.35002e-06 [updatestate_depend_eliminate]: 1.017e-05 [updatestate_assign_eliminate]: 3.10002e-06 [updatestate_loads_eliminate]: 0.00010463 [cse]: 3.624e-05 [call_graph_tuple_transform]: 2.826e-05 [tuple_list_get_item_eliminator]: 7.20998e-06 [none_parameter_eliminate]: 2.23002e-06 [renormalize]: 6.19999e-07 [switch_simplify]: 7.55e-06 [remove_dup_value]: 1.865e-05 [partial_unused_args_eliminate]: 2.58e-06 [environ_conv]: 1.111e-05 [add_recomputation]: 6.355e-05 [cse_after_recomputation]: 2.888e-05, [1] [Cycle 1]: 2.134e-05, [1] [cse]: 1.434e-05 [auto_monad_reorder]: 1.644e-05 [get_jit_bprop_graph]: 2.17001e-06 [rewriter_after_jit_bprop_graph]: 0.12036 [opt_after_jit_grad]: 0.0009107 [symbol_engine_optimizer]: 0.00010159, [1] [Cycle 1]: 9.231e-05, [6] [build]: 5.51998e-06 [elim_shapecalc]: 1.109e-05 [elim_not_effective]: 2.07e-05 [opt_reshape]: 8.66002e-06 [fold_const_symbol]: 1.211e-05 [renormalize]: 1.31002e-06 [validate]: 5.985e-05 Sums bootstrap : 0.000757s : 0.06% type_inference : 1.237532s : 90.50% event_method : 0.000024s : 0.00% auto_monad : 0.000084s : 0.01% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000629s : 0.05% rewriter_before_opt_a : 0.000093s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000072s : 0.01% jit_opt_a.loop_unroll : 0.000034s : 0.00% jit_opt_a.a_1 : 0.000740s : 0.05% jit_opt_a.with_stream_mark : 0.000049s : 0.00% jit_opt_a.recompute_prepare : 0.000018s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000007s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000007s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000014s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000013s : 0.00% jit_opt_a.accelerated_algorithm : 0.000014s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000012s : 0.00% jit_opt_a.merge_forward : 0.000008s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000042s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000022s : 0.00% jit_opt_a.meta_fg_expand : 0.000005s : 0.00% jit_opt_a.replace_old_param : 0.000023s : 0.00% jit_opt_a.inline_without_move : 0.000014s : 0.00% jit_opt_a.renormalize : 0.003759s : 0.27% jit_opt_a.add_forward_monad_depend : 0.000023s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000030s : 0.00% jit_opt_a.cse : 0.000053s : 0.00% jit_opt_a.replace_applicator : 0.000033s : 0.00% py_interpret_to_execute_after_opt_a : 0.000018s : 0.00% rewriter_after_opt_a : 0.000092s : 0.01% convert_after_rewriter : 0.000008s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000815s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000022s : 0.00% jit_opt_b.inline_after_opt_a : 0.000021s : 0.00% cconv : 0.000036s : 0.00% loop_unroll : 0.000479s : 0.04% jit_opt_after_cconv.c_1 : 0.000028s : 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 : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000105s : 0.01% jit_opt_after_cconv.cse : 0.000036s : 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 : 0.000008s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000011s : 0.00% add_recomputation : 0.000064s : 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 : 0.120360s : 8.80% opt_after_jit_grad : 0.000911s : 0.07% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000021s : 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 : 0.000060s : 0.00% Time group info: ------[substitution.] 0.000230 23 1.21% : 0.000003s : 2: substitution.elim_not_effective 0.88% : 0.000002s : 2: substitution.fold_const_symbol 2.90% : 0.000007s : 4: substitution.graph_param_transform 82.75% : 0.000190s : 4: substitution.inline 2.11% : 0.000005s : 4: substitution.j_node_and_user_rematch 2.44% : 0.000006s : 4: substitution.remove_not_recompute_node 3.10% : 0.000007s : 2: substitution.replace_old_param 4.61% : 0.000011s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.237417 2 99.77% : 1.234526s : 1: type_inference.infer 0.23% : 0.002891s : 1: type_inference.specialize ------[replace.] 0.000058 5 83.16% : 0.000048s : 4: replace.inline 16.84% : 0.000010s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000197 5 95.06% : 0.000187s : 4: match.inline 4.94% : 0.000010s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000150 801 1.12% : 0.000002s : 12: predicate.accumulaten_eliminater 1.98% : 0.000003s : 4: predicate.ad_related_special_op_eliminate 1.05% : 0.000002s : 12: predicate.addn_check_dump 1.58% : 0.000002s : 12: predicate.addn_zero_filter 2.56% : 0.000004s : 12: predicate.arithmetic_simplify 1.24% : 0.000002s : 12: predicate.cast_eliminate 0.64% : 0.000001s : 4: predicate.check_bprop_eliminate 1.02% : 0.000002s : 12: predicate.compare_switch_simplify 1.22% : 0.000002s : 12: predicate.depend_value_elim 1.18% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.50% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.41% : 0.000002s : 12: predicate.dict_set_item_eliminator 1.74% : 0.000003s : 4: predicate.dumpgradient_eliminate 0.62% : 0.000001s : 4: predicate.elim_not_effective 0.62% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.20% : 0.000002s : 12: predicate.environ_add_const_eliminate 1.28% : 0.000002s : 12: predicate.environ_get_add_eliminate 1.15% : 0.000002s : 12: predicate.environ_get_depend_swap 1.26% : 0.000002s : 12: predicate.environ_get_eliminate 1.25% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.25% : 0.000000s : 4: predicate.fold_const_symbol 0.96% : 0.000001s : 8: predicate.get_grad_eliminate 0.29% : 0.000000s : 4: predicate.graph_param_transform 5.81% : 0.000009s : 25: predicate.inline 0.98% : 0.000001s : 8: predicate.inline_without_move 0.43% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.09% : 0.000002s : 8: predicate.less_batch_normalization 1.65% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.60% : 0.000002s : 17: predicate.load_eliminater 1.35% : 0.000002s : 4: predicate.loop_unroll_after_grad 3.07% : 0.000005s : 28: predicate.loop_unroll_before_grad 2.01% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 0.94% : 0.000001s : 12: predicate.merge_addn 1.10% : 0.000002s : 12: predicate.minmaximum_grad 2.01% : 0.000003s : 4: predicate.mutable_eliminate 0.66% : 0.000001s : 4: predicate.opt_reshape 2.17% : 0.000003s : 17: predicate.partial_eliminate 1.24% : 0.000002s : 12: predicate.print_const_string_wrapper 1.54% : 0.000002s : 12: predicate.reduce_eliminate 1.48% : 0.000002s : 13: predicate.redundant_stop_gradient_eliminater 0.82% : 0.000001s : 8: predicate.remove_not_recompute_node 2.12% : 0.000003s : 21: predicate.replace_applicator 0.72% : 0.000001s : 8: predicate.replace_old_param 0.44% : 0.000001s : 4: predicate.reset_defer_inline 1.44% : 0.000002s : 12: predicate.reshape_eliminate 1.12% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.68% : 0.000001s : 4: predicate.row_tensor_eliminate 1.23% : 0.000002s : 12: predicate.same_eliminate 0.57% : 0.000001s : 8: predicate.set_cell_output_no_recompute 1.15% : 0.000002s : 8: predicate.special_op_eliminate 1.23% : 0.000002s : 8: predicate.specialize_transform 1.32% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 1.10% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.57% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.49% : 0.000004s : 17: predicate.switch_defer_inline 1.77% : 0.000003s : 17: predicate.switch_layer_defer_inline 6.30% : 0.000009s : 49: predicate.switch_simplify 1.08% : 0.000002s : 12: predicate.tile_eliminate 1.12% : 0.000002s : 12: predicate.transpose_eliminate 1.54% : 0.000002s : 12: predicate.tuple_list_convert_item_index_to_positive 1.12% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 4.25% : 0.000006s : 21: predicate.tuple_list_get_item_eliminator 1.45% : 0.000002s : 12: predicate.tuple_list_set_item_eliminator 1.56% : 0.000002s : 13: predicate.tuple_to_list_eliminator_ 1.45% : 0.000002s : 17: predicate.updatestate_pure_node_eliminater 2.54% : 0.000004s : 25: predicate.updatestate_useless_node_eliminater 1.48% : 0.000002s : 12: predicate.value_based_eliminate 0.41% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.68% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.002799 18 70.30% : 0.001968s : 12: func_graph_cloner_run.FuncGraphClonerGraph 29.70% : 0.000831s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.378462 72 0.00% : 0.000067s : 1: add_recomputation 0.01% : 0.000088s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.06% : 0.000791s : 1: bootstrap 0.00% : 0.000039s : 1: cconv 0.00% : 0.000011s : 1: convert_after_rewriter 0.00% : 0.000031s : 1: cse_after_recomputation 0.00% : 0.000014s : 1: environ_conv 0.00% : 0.000031s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000004s : 1: get_jit_bprop_graph 0.00% : 0.000009s : 1: graph_reusing 0.78% : 0.010807s : 1: jit_opt_a 0.02% : 0.000304s : 1: jit_opt_after_cconv 0.00% : 0.000069s : 1: jit_opt_b 0.04% : 0.000489s : 1: loop_unroll 0.06% : 0.000828s : 1: mutable_eliminate 0.07% : 0.001013s : 26: opt.transform.jit_opt_a 0.00% : 0.000067s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000034s : 4: opt.transform.jit_opt_b 0.00% : 0.000015s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000021s : 1: opt.transform.mutable_eliminate 0.00% : 0.000044s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000048s : 4: opt.transform.symbol_engine_opt 0.07% : 0.000927s : 1: opt_after_jit_grad 0.00% : 0.000007s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pre_auto_parallel 0.05% : 0.000639s : 1: py_interpret_to_execute 0.00% : 0.000021s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 0.21% : 0.002827s : 1: renormalize.infer 0.07% : 0.000916s : 1: renormalize.specialize 8.73% : 0.120381s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000097s : 1: rewriter_after_opt_a 0.01% : 0.000100s : 1: rewriter_before_opt_a 0.01% : 0.000105s : 1: symbol_engine_optimizer 89.78% : 1.237560s : 1: type_inference TotalTime = 1.54954, [30] [bootstrap]: 0.00040379 [type_inference]: 1.42078 [event_method]: 0.00099232 [auto_monad]: 0.0002647 [graph_reusing]: 1.242e-05 [pre_auto_parallel]: 4.35999e-06 [py_interpret_to_execute]: 9.497e-05 [rewriter_before_opt_a]: 0.00017624 [expand_dump_flag]: 4.64002e-06 [jit_opt_a]: 0.123509, [2] [Cycle 1]: 0.118969, [27] [switch_simplify]: 0.00023844 [loop_unroll]: 6.129e-05 [a_1]: 0.00144619 [with_stream_mark]: 2.164e-05 [recompute_prepare]: 2.343e-05 [updatestate_depend_eliminate]: 8.3e-06 [updatestate_assign_eliminate]: 6.00002e-06 [updatestate_loads_eliminate]: 6.12001e-06 [parameter_eliminate]: 1.79998e-06 [specialize_transform]: 1.549e-05 [updatestate_useless_node_eliminater]: 1.454e-05 [accelerated_algorithm]: 1.478e-05 [meta_shard_fg_expand]: 4.08999e-06 [get_grad_eliminate_]: 1.492e-05 [merge_forward]: 8.29002e-06 [cell_reuse_recompute_pass]: 8.10018e-07 [cell_reuse_handle_not_recompute_node_pass]: 3.051e-05 [j_node_and_user_rematch]: 2.648e-05 [meta_fg_expand]: 0.00222695 [replace_old_param]: 0.107684 [inline_without_move]: 0.00012845 [renormalize]: 0.00654467 [add_forward_monad_depend]: 8.24002e-06 [auto_monad_grad]: 3.11999e-06 [auto_monad_eliminator]: 1.877e-05 [cse]: 3.514e-05 [replace_applicator]: 2.668e-05 [Cycle 2]: 0.00047457, [27] [switch_simplify]: 6.41e-06 [loop_unroll]: 4.42e-06 [a_1]: 5.559e-05 [with_stream_mark]: 1.587e-05 [recompute_prepare]: 4.17e-06 [updatestate_depend_eliminate]: 3.76999e-06 [updatestate_assign_eliminate]: 2.59001e-06 [updatestate_loads_eliminate]: 2.59999e-06 [parameter_eliminate]: 2.29999e-06 [specialize_transform]: 4.18001e-06 [updatestate_useless_node_eliminater]: 3.68e-06 [accelerated_algorithm]: 4.29997e-06 [meta_shard_fg_expand]: 2.16e-06 [get_grad_eliminate_]: 4.27e-06 [merge_forward]: 3.65e-06 [cell_reuse_recompute_pass]: 3.73001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.767e-05 [j_node_and_user_rematch]: 7.48e-06 [meta_fg_expand]: 0.00015245 [replace_old_param]: 6.82002e-06 [inline_without_move]: 4.60999e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.19001e-06 [auto_monad_grad]: 1.20999e-06 [auto_monad_eliminator]: 6.97997e-06 [cse]: 1.669e-05 [replace_applicator]: 4.95001e-06 [py_interpret_to_execute_after_opt_a]: 1.55e-05 [rewriter_after_opt_a]: 0.00037235 [convert_after_rewriter]: 1.364e-05 [order_py_execute_after_rewriter]: 5.19998e-06 [mutable_eliminate]: 0.00093795 [jit_opt_b]: 5.576e-05, [1] [Cycle 1]: 4.605e-05, [2] [frontend_op_eliminate]: 1.429e-05 [inline_after_opt_a]: 1.82e-05 [cconv]: 4.056e-05 [loop_unroll]: 0.0005119 [jit_opt_after_cconv]: 0.00023259, [1] [Cycle 1]: 0.00022467, [11] [c_1]: 1.573e-05 [parameter_eliminate]: 5.46e-06 [updatestate_depend_eliminate]: 8.82999e-06 [updatestate_assign_eliminate]: 3.20998e-06 [updatestate_loads_eliminate]: 2.40002e-06 [cse]: 8.9e-05 [call_graph_tuple_transform]: 2.57e-05 [tuple_list_get_item_eliminator]: 5.29e-06 [none_parameter_eliminate]: 2.14e-06 [renormalize]: 3.89991e-07 [switch_simplify]: 5.38002e-06 [remove_dup_value]: 1.838e-05 [partial_unused_args_eliminate]: 2.68e-06 [environ_conv]: 6.14001e-06 [add_recomputation]: 4.845e-05 [cse_after_recomputation]: 2.562e-05, [1] [Cycle 1]: 1.909e-05, [1] [cse]: 1.162e-05 [auto_monad_reorder]: 1.462e-05 [get_jit_bprop_graph]: 2.37001e-06 [rewriter_after_jit_bprop_graph]: 7.85e-06 [opt_after_jit_grad]: 0.0005506 [symbol_engine_optimizer]: 7.927e-05, [1] [Cycle 1]: 7.093e-05, [6] [build]: 4.84998e-06 [elim_shapecalc]: 8.02e-06 [elim_not_effective]: 1.416e-05 [opt_reshape]: 4.94998e-06 [fold_const_symbol]: 6.88e-06 [renormalize]: 5.8001e-07 [validate]: 4.583e-05 Sums bootstrap : 0.000404s : 0.03% type_inference : 1.420784s : 91.99% event_method : 0.000992s : 0.06% auto_monad : 0.000265s : 0.02% graph_reusing : 0.000012s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000095s : 0.01% rewriter_before_opt_a : 0.000176s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000245s : 0.02% jit_opt_a.loop_unroll : 0.000066s : 0.00% jit_opt_a.a_1 : 0.001502s : 0.10% jit_opt_a.with_stream_mark : 0.000038s : 0.00% jit_opt_a.recompute_prepare : 0.000028s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000012s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000009s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000020s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000018s : 0.00% jit_opt_a.accelerated_algorithm : 0.000019s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000006s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000019s : 0.00% jit_opt_a.merge_forward : 0.000012s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000048s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000034s : 0.00% jit_opt_a.meta_fg_expand : 0.002379s : 0.15% jit_opt_a.replace_old_param : 0.107691s : 6.97% jit_opt_a.inline_without_move : 0.000133s : 0.01% jit_opt_a.renormalize : 0.006545s : 0.42% jit_opt_a.add_forward_monad_depend : 0.000010s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000026s : 0.00% jit_opt_a.cse : 0.000052s : 0.00% jit_opt_a.replace_applicator : 0.000032s : 0.00% py_interpret_to_execute_after_opt_a : 0.000016s : 0.00% rewriter_after_opt_a : 0.000372s : 0.02% convert_after_rewriter : 0.000014s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000938s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000014s : 0.00% jit_opt_b.inline_after_opt_a : 0.000018s : 0.00% cconv : 0.000041s : 0.00% loop_unroll : 0.000512s : 0.03% jit_opt_after_cconv.c_1 : 0.000016s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 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 : 0.000089s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000026s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000005s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000005s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000006s : 0.00% add_recomputation : 0.000048s : 0.00% cse_after_recomputation.cse : 0.000012s : 0.00% auto_monad_reorder : 0.000015s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000551s : 0.04% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000008s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000014s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000005s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000007s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000046s : 0.00% Time group info: ------[substitution.] 0.000533 65 0.40% : 0.000002s : 1: substitution.elim_not_effective 0.24% : 0.000001s : 1: substitution.fold_const_symbol 1.08% : 0.000006s : 1: substitution.graph_param_transform 70.75% : 0.000377s : 13: substitution.inline 9.41% : 0.000050s : 2: substitution.inline_without_move 1.57% : 0.000008s : 9: substitution.j_node_and_user_rematch 0.90% : 0.000005s : 2: substitution.minmaximum_grad 1.58% : 0.000008s : 9: substitution.partial_eliminate 1.59% : 0.000008s : 9: substitution.remove_not_recompute_node 0.50% : 0.000003s : 1: substitution.replace_applicator 2.50% : 0.000013s : 6: substitution.replace_old_param 0.60% : 0.000003s : 1: substitution.set_cell_output_no_recompute 3.04% : 0.000016s : 3: substitution.switch_simplify 1.88% : 0.000010s : 2: substitution.tuple_list_convert_item_index_to_positive 1.13% : 0.000006s : 2: substitution.tuple_list_get_item_depend_reorder 2.84% : 0.000015s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.420625 2 89.25% : 1.267861s : 1: type_inference.infer 10.75% : 0.152764s : 1: type_inference.specialize ------[replace.] 0.000206 17 56.17% : 0.000116s : 13: replace.inline 39.07% : 0.000080s : 3: replace.switch_simplify 4.76% : 0.000010s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000387 17 95.59% : 0.000370s : 13: match.inline 3.68% : 0.000014s : 3: match.switch_simplify 0.73% : 0.000003s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000271 1539 1.31% : 0.000004s : 26: predicate.accumulaten_eliminater 0.65% : 0.000002s : 1: predicate.ad_related_special_op_eliminate 1.18% : 0.000003s : 26: predicate.addn_check_dump 1.30% : 0.000004s : 26: predicate.addn_zero_filter 1.86% : 0.000005s : 26: predicate.arithmetic_simplify 1.45% : 0.000004s : 26: predicate.cast_eliminate 0.13% : 0.000000s : 1: predicate.check_bprop_eliminate 1.22% : 0.000003s : 26: predicate.compare_switch_simplify 1.20% : 0.000003s : 26: predicate.depend_value_elim 1.11% : 0.000003s : 26: predicate.dict_get_item_const_eliminator 1.43% : 0.000004s : 26: predicate.dict_get_item_eliminator 1.51% : 0.000004s : 26: predicate.dict_set_item_eliminator 0.57% : 0.000002s : 1: predicate.dumpgradient_eliminate 0.16% : 0.000000s : 1: predicate.elim_not_effective 0.28% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 1.39% : 0.000004s : 26: predicate.environ_add_const_eliminate 1.19% : 0.000003s : 26: predicate.environ_get_add_eliminate 1.29% : 0.000003s : 26: predicate.environ_get_depend_swap 1.32% : 0.000004s : 26: predicate.environ_get_eliminate 1.37% : 0.000004s : 26: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 1: predicate.fold_const_symbol 1.03% : 0.000003s : 13: predicate.get_grad_eliminate 0.13% : 0.000000s : 1: predicate.graph_param_transform 4.58% : 0.000012s : 42: predicate.inline 6.32% : 0.000017s : 35: predicate.inline_without_move 0.38% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.15% : 0.000003s : 13: predicate.less_batch_normalization 1.43% : 0.000004s : 27: predicate.list_to_tuple_eliminator_ 1.52% : 0.000004s : 28: predicate.load_eliminater 0.65% : 0.000002s : 1: predicate.loop_unroll_after_grad 3.63% : 0.000010s : 67: predicate.loop_unroll_before_grad 1.69% : 0.000005s : 27: predicate.make_slice_get_slice_eliminator 1.16% : 0.000003s : 26: predicate.merge_addn 1.47% : 0.000004s : 26: predicate.minmaximum_grad 0.92% : 0.000002s : 1: predicate.mutable_eliminate 0.27% : 0.000001s : 1: predicate.opt_reshape 1.98% : 0.000005s : 28: predicate.partial_eliminate 1.22% : 0.000003s : 26: predicate.print_const_string_wrapper 1.76% : 0.000005s : 26: predicate.reduce_eliminate 1.41% : 0.000004s : 27: predicate.redundant_stop_gradient_eliminater 0.51% : 0.000001s : 13: predicate.remove_not_recompute_node 1.49% : 0.000004s : 29: predicate.replace_applicator 2.01% : 0.000005s : 35: predicate.replace_old_param 0.28% : 0.000001s : 1: predicate.reset_defer_inline 1.33% : 0.000004s : 26: predicate.reshape_eliminate 1.32% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.42% : 0.000001s : 1: predicate.row_tensor_eliminate 1.35% : 0.000004s : 26: predicate.same_eliminate 0.46% : 0.000001s : 13: predicate.set_cell_output_no_recompute 0.26% : 0.000001s : 2: predicate.special_op_eliminate 0.85% : 0.000002s : 13: predicate.specialize_transform 2.03% : 0.000006s : 26: predicate.split_environ_get_set_with_tuple_value 1.42% : 0.000004s : 26: predicate.stack_unstack_eliminate 0.08% : 0.000000s : 1: predicate.switch_call_monad_eliminater 3.44% : 0.000009s : 40: predicate.switch_defer_inline 2.57% : 0.000007s : 40: predicate.switch_layer_defer_inline 7.58% : 0.000021s : 114: predicate.switch_simplify 1.36% : 0.000004s : 26: predicate.tile_eliminate 1.39% : 0.000004s : 26: predicate.transpose_eliminate 1.69% : 0.000005s : 26: predicate.tuple_list_convert_item_index_to_positive 1.44% : 0.000004s : 26: predicate.tuple_list_get_item_depend_reorder 2.91% : 0.000008s : 29: predicate.tuple_list_get_item_eliminator 1.72% : 0.000005s : 26: predicate.tuple_list_set_item_eliminator 1.61% : 0.000004s : 27: predicate.tuple_to_list_eliminator_ 1.38% : 0.000004s : 28: predicate.updatestate_pure_node_eliminater 2.43% : 0.000007s : 41: predicate.updatestate_useless_node_eliminater 1.75% : 0.000005s : 26: predicate.value_based_eliminate 0.08% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.20% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.004188 37 83.76% : 0.003508s : 21: func_graph_cloner_run.FuncGraphClonerGraph 16.24% : 0.000680s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.665897 72 0.00% : 0.000053s : 1: add_recomputation 0.02% : 0.000278s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.03% : 0.000439s : 1: bootstrap 0.00% : 0.000043s : 1: cconv 0.00% : 0.000017s : 1: convert_after_rewriter 0.00% : 0.000028s : 1: cse_after_recomputation 0.00% : 0.000008s : 1: environ_conv 0.06% : 0.001023s : 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 7.41% : 0.123514s : 1: jit_opt_a 0.01% : 0.000236s : 1: jit_opt_after_cconv 0.00% : 0.000059s : 1: jit_opt_b 0.03% : 0.000522s : 1: loop_unroll 0.06% : 0.000954s : 1: mutable_eliminate 6.59% : 0.109802s : 26: opt.transform.jit_opt_a 0.00% : 0.000047s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000022s : 4: opt.transform.jit_opt_b 0.00% : 0.000013s : 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% : 0.000030s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000562s : 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% : 0.000006s : 1: pre_auto_parallel 0.01% : 0.000100s : 1: py_interpret_to_execute 0.00% : 0.000018s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000021s : 1: remove_dup_value 0.35% : 0.005818s : 1: renormalize.infer 0.04% : 0.000708s : 1: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000382s : 1: rewriter_after_opt_a 0.01% : 0.000180s : 1: rewriter_before_opt_a 0.00% : 0.000082s : 1: symbol_engine_optimizer 85.29% : 1.420820s : 1: type_inference . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape1-1-KBK] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape1-1-KBK],max_mem:4.0M . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape2-2-pynative] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape2-2-pynative],max_mem:4.0M TotalTime = 1.33012, [30] [bootstrap]: 0.0007891 [type_inference]: 1.12556 [event_method]: 2.103e-05 [auto_monad]: 7.351e-05 [graph_reusing]: 6.48998e-06 [pre_auto_parallel]: 2.79001e-06 [py_interpret_to_execute]: 0.0004995 [rewriter_before_opt_a]: 8.145e-05 [expand_dump_flag]: 4.18001e-06 [jit_opt_a]: 0.200044, [2] [Cycle 1]: 0.194815, [27] [switch_simplify]: 6.167e-05 [loop_unroll]: 2.593e-05 [a_1]: 0.00065185 [with_stream_mark]: 3.15e-05 [recompute_prepare]: 1.016e-05 [updatestate_depend_eliminate]: 4.94e-06 [updatestate_assign_eliminate]: 3.41999e-06 [updatestate_loads_eliminate]: 3.04999e-06 [parameter_eliminate]: 2.29001e-06 [specialize_transform]: 6.97002e-06 [updatestate_useless_node_eliminater]: 6.21e-06 [accelerated_algorithm]: 7.29001e-06 [meta_shard_fg_expand]: 2.57001e-06 [get_grad_eliminate_]: 6.46999e-06 [merge_forward]: 3.89002e-06 [cell_reuse_recompute_pass]: 1.37999e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.78e-05 [j_node_and_user_rematch]: 1.088e-05 [meta_fg_expand]: 2.81e-06 [replace_old_param]: 1.132e-05 [inline_without_move]: 6.34999e-06 [renormalize]: 0.193603 [add_forward_monad_depend]: 1.72e-05 [auto_monad_grad]: 3.04001e-06 [auto_monad_eliminator]: 2.128e-05 [cse]: 3.785e-05 [replace_applicator]: 2.628e-05 [Cycle 2]: 0.00042543, [27] [switch_simplify]: 8.04002e-06 [loop_unroll]: 6.57002e-06 [a_1]: 0.00013786 [with_stream_mark]: 1.797e-05 [recompute_prepare]: 6.56e-06 [updatestate_depend_eliminate]: 4e-06 [updatestate_assign_eliminate]: 3.11001e-06 [updatestate_loads_eliminate]: 3.39001e-06 [parameter_eliminate]: 1.91e-06 [specialize_transform]: 6.15002e-06 [updatestate_useless_node_eliminater]: 5.88002e-06 [accelerated_algorithm]: 5.99999e-06 [meta_shard_fg_expand]: 2.56e-06 [get_grad_eliminate_]: 5.53002e-06 [merge_forward]: 4.54998e-06 [cell_reuse_recompute_pass]: 3.69002e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.182e-05 [j_node_and_user_rematch]: 1.017e-05 [meta_fg_expand]: 2.38002e-06 [replace_old_param]: 9.99999e-06 [inline_without_move]: 5.89999e-06 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 1.72999e-06 [auto_monad_grad]: 1.34e-06 [auto_monad_eliminator]: 6.29999e-06 [cse]: 1.52e-05 [replace_applicator]: 6.87002e-06 [py_interpret_to_execute_after_opt_a]: 1.675e-05 [rewriter_after_opt_a]: 3.923e-05 [convert_after_rewriter]: 7.06999e-06 [order_py_execute_after_rewriter]: 4.95999e-06 [mutable_eliminate]: 0.00077749 [jit_opt_b]: 6.688e-05, [1] [Cycle 1]: 5.626e-05, [2] [frontend_op_eliminate]: 2.256e-05 [inline_after_opt_a]: 1.981e-05 [cconv]: 3.385e-05 [loop_unroll]: 0.00057445 [jit_opt_after_cconv]: 0.00019138, [1] [Cycle 1]: 0.00018344, [11] [c_1]: 2.851e-05 [parameter_eliminate]: 5.04998e-06 [updatestate_depend_eliminate]: 1.16e-05 [updatestate_assign_eliminate]: 3.15998e-06 [updatestate_loads_eliminate]: 2.66e-06 [cse]: 3.728e-05 [call_graph_tuple_transform]: 2.593e-05 [tuple_list_get_item_eliminator]: 7.03998e-06 [none_parameter_eliminate]: 1.81e-06 [renormalize]: 9.5999e-07 [switch_simplify]: 6.69001e-06 [remove_dup_value]: 1.756e-05 [partial_unused_args_eliminate]: 2.27999e-06 [environ_conv]: 1.158e-05 [add_recomputation]: 5.815e-05 [cse_after_recomputation]: 2.849e-05, [1] [Cycle 1]: 2.201e-05, [1] [cse]: 1.527e-05 [auto_monad_reorder]: 4.19e-05 [get_jit_bprop_graph]: 2.09e-06 [rewriter_after_jit_bprop_graph]: 0.00018438 [opt_after_jit_grad]: 0.00057783 [symbol_engine_optimizer]: 8.775e-05, [1] [Cycle 1]: 8.073e-05, [6] [build]: 3.52002e-06 [elim_shapecalc]: 1.012e-05 [elim_not_effective]: 1.667e-05 [opt_reshape]: 7.61999e-06 [fold_const_symbol]: 1.056e-05 [renormalize]: 7.89994e-07 [validate]: 5.295e-05 Sums bootstrap : 0.000789s : 0.06% type_inference : 1.125564s : 84.98% event_method : 0.000021s : 0.00% auto_monad : 0.000074s : 0.01% graph_reusing : 0.000006s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000499s : 0.04% rewriter_before_opt_a : 0.000081s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000070s : 0.01% jit_opt_a.loop_unroll : 0.000033s : 0.00% jit_opt_a.a_1 : 0.000790s : 0.06% jit_opt_a.with_stream_mark : 0.000049s : 0.00% jit_opt_a.recompute_prepare : 0.000017s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000007s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000006s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000013s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000012s : 0.00% jit_opt_a.accelerated_algorithm : 0.000013s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000012s : 0.00% jit_opt_a.merge_forward : 0.000008s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000040s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000021s : 0.00% jit_opt_a.meta_fg_expand : 0.000005s : 0.00% jit_opt_a.replace_old_param : 0.000021s : 0.00% jit_opt_a.inline_without_move : 0.000012s : 0.00% jit_opt_a.renormalize : 0.193603s : 14.62% jit_opt_a.add_forward_monad_depend : 0.000019s : 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 : 0.000033s : 0.00% py_interpret_to_execute_after_opt_a : 0.000017s : 0.00% rewriter_after_opt_a : 0.000039s : 0.00% convert_after_rewriter : 0.000007s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000777s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000023s : 0.00% jit_opt_b.inline_after_opt_a : 0.000020s : 0.00% cconv : 0.000034s : 0.00% loop_unroll : 0.000574s : 0.04% jit_opt_after_cconv.c_1 : 0.000029s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 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 : 0.000037s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000026s : 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 : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000012s : 0.00% add_recomputation : 0.000058s : 0.00% cse_after_recomputation.cse : 0.000015s : 0.00% auto_monad_reorder : 0.000042s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000184s : 0.01% opt_after_jit_grad : 0.000578s : 0.04% symbol_engine_optimizer.build : 0.000004s : 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 : 0.000008s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000053s : 0.00% Time group info: ------[substitution.] 0.000220 23 1.13% : 0.000002s : 2: substitution.elim_not_effective 0.70% : 0.000002s : 2: substitution.fold_const_symbol 3.15% : 0.000007s : 4: substitution.graph_param_transform 82.81% : 0.000182s : 4: substitution.inline 2.02% : 0.000004s : 4: substitution.j_node_and_user_rematch 2.41% : 0.000005s : 4: substitution.remove_not_recompute_node 2.95% : 0.000006s : 2: substitution.replace_old_param 4.82% : 0.000011s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.125464 2 99.75% : 1.122705s : 1: type_inference.infer 0.25% : 0.002759s : 1: type_inference.specialize ------[replace.] 0.000132 5 92.83% : 0.000123s : 4: replace.inline 7.17% : 0.000009s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000189 5 94.82% : 0.000179s : 4: match.inline 5.18% : 0.000010s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000146 801 1.23% : 0.000002s : 12: predicate.accumulaten_eliminater 1.45% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 1.23% : 0.000002s : 12: predicate.addn_check_dump 1.26% : 0.000002s : 12: predicate.addn_zero_filter 1.89% : 0.000003s : 12: predicate.arithmetic_simplify 1.32% : 0.000002s : 12: predicate.cast_eliminate 0.41% : 0.000001s : 4: predicate.check_bprop_eliminate 0.96% : 0.000001s : 12: predicate.compare_switch_simplify 1.17% : 0.000002s : 12: predicate.depend_value_elim 0.99% : 0.000001s : 12: predicate.dict_get_item_const_eliminator 1.08% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.43% : 0.000002s : 12: predicate.dict_set_item_eliminator 1.48% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.36% : 0.000001s : 4: predicate.elim_not_effective 0.64% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.12% : 0.000002s : 12: predicate.environ_add_const_eliminate 1.12% : 0.000002s : 12: predicate.environ_get_add_eliminate 0.96% : 0.000001s : 12: predicate.environ_get_depend_swap 1.28% : 0.000002s : 12: predicate.environ_get_eliminate 1.15% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.25% : 0.000000s : 4: predicate.fold_const_symbol 1.01% : 0.000001s : 8: predicate.get_grad_eliminate 0.41% : 0.000001s : 4: predicate.graph_param_transform 6.28% : 0.000009s : 25: predicate.inline 0.99% : 0.000001s : 8: predicate.inline_without_move 0.43% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.10% : 0.000002s : 8: predicate.less_batch_normalization 1.26% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.82% : 0.000003s : 17: predicate.load_eliminater 2.35% : 0.000003s : 4: predicate.loop_unroll_after_grad 2.97% : 0.000004s : 28: predicate.loop_unroll_before_grad 2.05% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.03% : 0.000002s : 12: predicate.merge_addn 1.17% : 0.000002s : 12: predicate.minmaximum_grad 2.20% : 0.000003s : 4: predicate.mutable_eliminate 0.49% : 0.000001s : 4: predicate.opt_reshape 2.17% : 0.000003s : 17: predicate.partial_eliminate 1.14% : 0.000002s : 12: predicate.print_const_string_wrapper 1.67% : 0.000002s : 12: predicate.reduce_eliminate 1.44% : 0.000002s : 13: predicate.redundant_stop_gradient_eliminater 0.94% : 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 0.34% : 0.000001s : 4: predicate.reset_defer_inline 1.54% : 0.000002s : 12: predicate.reshape_eliminate 1.23% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 1.03% : 0.000002s : 4: predicate.row_tensor_eliminate 1.36% : 0.000002s : 12: predicate.same_eliminate 0.60% : 0.000001s : 8: predicate.set_cell_output_no_recompute 0.98% : 0.000001s : 8: predicate.special_op_eliminate 0.92% : 0.000001s : 8: predicate.specialize_transform 1.43% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 1.43% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.43% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.30% : 0.000003s : 17: predicate.switch_defer_inline 1.83% : 0.000003s : 17: predicate.switch_layer_defer_inline 6.67% : 0.000010s : 49: predicate.switch_simplify 1.19% : 0.000002s : 12: predicate.tile_eliminate 1.21% : 0.000002s : 12: predicate.transpose_eliminate 1.32% : 0.000002s : 12: predicate.tuple_list_convert_item_index_to_positive 1.35% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 4.27% : 0.000006s : 21: predicate.tuple_list_get_item_eliminator 1.78% : 0.000003s : 12: predicate.tuple_list_set_item_eliminator 1.33% : 0.000002s : 13: predicate.tuple_to_list_eliminator_ 1.46% : 0.000002s : 17: predicate.updatestate_pure_node_eliminater 2.70% : 0.000004s : 25: predicate.updatestate_useless_node_eliminater 1.59% : 0.000002s : 12: predicate.value_based_eliminate 0.38% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.82% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.002770 18 69.35% : 0.001921s : 12: func_graph_cloner_run.FuncGraphClonerGraph 30.65% : 0.000849s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.524830 72 0.00% : 0.000062s : 1: add_recomputation 0.01% : 0.000077s : 1: auto_monad 0.00% : 0.000045s : 1: auto_monad_reorder 0.05% : 0.000825s : 1: bootstrap 0.00% : 0.000037s : 1: cconv 0.00% : 0.000009s : 1: convert_after_rewriter 0.00% : 0.000031s : 1: cse_after_recomputation 0.00% : 0.000014s : 1: environ_conv 0.00% : 0.000026s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000004s : 1: get_jit_bprop_graph 0.00% : 0.000009s : 1: graph_reusing 13.12% : 0.200047s : 1: jit_opt_a 0.01% : 0.000194s : 1: jit_opt_after_cconv 0.00% : 0.000070s : 1: jit_opt_b 0.04% : 0.000585s : 1: loop_unroll 0.05% : 0.000792s : 1: mutable_eliminate 0.07% : 0.001050s : 26: opt.transform.jit_opt_a 0.00% : 0.000064s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000034s : 4: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000020s : 1: opt.transform.mutable_eliminate 0.00% : 0.000031s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000041s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000589s : 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 0.03% : 0.000507s : 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 12.63% : 0.192617s : 1: renormalize.infer 0.06% : 0.000971s : 1: renormalize.specialize 0.01% : 0.000190s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000042s : 1: rewriter_after_opt_a 0.01% : 0.000087s : 1: rewriter_before_opt_a 0.01% : 0.000091s : 1: symbol_engine_optimizer 73.82% : 1.125589s : 1: type_inference TotalTime = 1.32567, [30] [bootstrap]: 0.00035337 [type_inference]: 1.16094 [event_method]: 0.00074684 [auto_monad]: 0.00020129 [graph_reusing]: 1.111e-05 [pre_auto_parallel]: 4.46002e-06 [py_interpret_to_execute]: 7.04e-05 [rewriter_before_opt_a]: 0.00015905 [expand_dump_flag]: 4.17e-06 [jit_opt_a]: 0.160069, [2] [Cycle 1]: 0.15558, [27] [switch_simplify]: 0.00023593 [loop_unroll]: 6.238e-05 [a_1]: 0.00150641 [with_stream_mark]: 4.568e-05 [recompute_prepare]: 3.138e-05 [updatestate_depend_eliminate]: 1.014e-05 [updatestate_assign_eliminate]: 7.16999e-06 [updatestate_loads_eliminate]: 6.71e-06 [parameter_eliminate]: 3.46001e-06 [specialize_transform]: 1.68e-05 [updatestate_useless_node_eliminater]: 1.597e-05 [accelerated_algorithm]: 1.645e-05 [meta_shard_fg_expand]: 4.70001e-06 [get_grad_eliminate_]: 1.532e-05 [merge_forward]: 1.004e-05 [cell_reuse_recompute_pass]: 1.45999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.707e-05 [j_node_and_user_rematch]: 2.93e-05 [meta_fg_expand]: 0.00222809 [replace_old_param]: 7.864e-05 [inline_without_move]: 6.83e-05 [renormalize]: 0.150748 [add_forward_monad_depend]: 7.28e-06 [auto_monad_grad]: 3.31999e-06 [auto_monad_eliminator]: 1.841e-05 [cse]: 3.334e-05 [replace_applicator]: 2.689e-05 [Cycle 2]: 0.00046092, [27] [switch_simplify]: 6.34999e-06 [loop_unroll]: 5.17e-06 [a_1]: 5.691e-05 [with_stream_mark]: 1.559e-05 [recompute_prepare]: 4.25999e-06 [updatestate_depend_eliminate]: 3.28e-06 [updatestate_assign_eliminate]: 2.76e-06 [updatestate_loads_eliminate]: 2.73e-06 [parameter_eliminate]: 1.81e-06 [specialize_transform]: 4.27e-06 [updatestate_useless_node_eliminater]: 4e-06 [accelerated_algorithm]: 3.99002e-06 [meta_shard_fg_expand]: 2.40002e-06 [get_grad_eliminate_]: 3.58e-06 [merge_forward]: 3.9e-06 [cell_reuse_recompute_pass]: 4.13001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.81e-05 [j_node_and_user_rematch]: 7.88001e-06 [meta_fg_expand]: 0.00014096 [replace_old_param]: 7.1e-06 [inline_without_move]: 4.30999e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.12999e-06 [auto_monad_grad]: 1.12e-06 [auto_monad_eliminator]: 6.38e-06 [cse]: 1.48e-05 [replace_applicator]: 4.14002e-06 [py_interpret_to_execute_after_opt_a]: 1.433e-05 [rewriter_after_opt_a]: 0.00038985 [convert_after_rewriter]: 1.431e-05 [order_py_execute_after_rewriter]: 4.91002e-06 [mutable_eliminate]: 0.00082812 [jit_opt_b]: 5.229e-05, [1] [Cycle 1]: 4.254e-05, [2] [frontend_op_eliminate]: 1.386e-05 [inline_after_opt_a]: 1.684e-05 [cconv]: 3.781e-05 [loop_unroll]: 0.00056504 [jit_opt_after_cconv]: 0.00016865, [1] [Cycle 1]: 0.00016074, [11] [c_1]: 1.777e-05 [parameter_eliminate]: 5.76e-06 [updatestate_depend_eliminate]: 9.47001e-06 [updatestate_assign_eliminate]: 2.99001e-06 [updatestate_loads_eliminate]: 2.14999e-06 [cse]: 3.609e-05 [call_graph_tuple_transform]: 2.025e-05 [tuple_list_get_item_eliminator]: 4.37e-06 [none_parameter_eliminate]: 1.81003e-06 [renormalize]: 9.30013e-07 [switch_simplify]: 4.96002e-06 [remove_dup_value]: 1.839e-05 [partial_unused_args_eliminate]: 2.56e-06 [environ_conv]: 5.71e-06 [add_recomputation]: 4.507e-05 [cse_after_recomputation]: 2.295e-05, [1] [Cycle 1]: 1.647e-05, [1] [cse]: 1.013e-05 [auto_monad_reorder]: 1.498e-05 [get_jit_bprop_graph]: 2.22999e-06 [rewriter_after_jit_bprop_graph]: 8.77e-06 [opt_after_jit_grad]: 0.00054556 [symbol_engine_optimizer]: 7.437e-05, [1] [Cycle 1]: 6.616e-05, [6] [build]: 3.78001e-06 [elim_shapecalc]: 6.93998e-06 [elim_not_effective]: 1.168e-05 [opt_reshape]: 5.45001e-06 [fold_const_symbol]: 8.08999e-06 [renormalize]: 7.59988e-07 [validate]: 3.994e-05 Sums bootstrap : 0.000353s : 0.03% type_inference : 1.160937s : 87.90% event_method : 0.000747s : 0.06% auto_monad : 0.000201s : 0.02% graph_reusing : 0.000011s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000070s : 0.01% rewriter_before_opt_a : 0.000159s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000242s : 0.02% jit_opt_a.loop_unroll : 0.000068s : 0.01% jit_opt_a.a_1 : 0.001563s : 0.12% jit_opt_a.with_stream_mark : 0.000061s : 0.00% jit_opt_a.recompute_prepare : 0.000036s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000013s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.00% jit_opt_a.parameter_eliminate : 0.000005s : 0.00% jit_opt_a.specialize_transform : 0.000021s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000020s : 0.00% jit_opt_a.accelerated_algorithm : 0.000020s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000007s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000019s : 0.00% jit_opt_a.merge_forward : 0.000014s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000055s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000037s : 0.00% jit_opt_a.meta_fg_expand : 0.002369s : 0.18% jit_opt_a.replace_old_param : 0.000086s : 0.01% jit_opt_a.inline_without_move : 0.000073s : 0.01% jit_opt_a.renormalize : 0.150748s : 11.41% jit_opt_a.add_forward_monad_depend : 0.000009s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000025s : 0.00% jit_opt_a.cse : 0.000048s : 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 : 0.000390s : 0.03% convert_after_rewriter : 0.000014s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000828s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000014s : 0.00% jit_opt_b.inline_after_opt_a : 0.000017s : 0.00% cconv : 0.000038s : 0.00% loop_unroll : 0.000565s : 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 : 0.000009s : 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 : 0.000036s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000020s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000004s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000005s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000006s : 0.00% add_recomputation : 0.000045s : 0.00% cse_after_recomputation.cse : 0.000010s : 0.00% auto_monad_reorder : 0.000015s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.000546s : 0.04% symbol_engine_optimizer.build : 0.000004s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000007s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000012s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000005s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000008s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000040s : 0.00% Time group info: ------[substitution.] 0.000497 65 0.34% : 0.000002s : 1: substitution.elim_not_effective 0.33% : 0.000002s : 1: substitution.fold_const_symbol 1.02% : 0.000005s : 1: substitution.graph_param_transform 73.46% : 0.000365s : 13: substitution.inline 5.28% : 0.000026s : 2: substitution.inline_without_move 1.88% : 0.000009s : 9: substitution.j_node_and_user_rematch 0.89% : 0.000004s : 2: substitution.minmaximum_grad 1.83% : 0.000009s : 9: substitution.partial_eliminate 1.94% : 0.000010s : 9: substitution.remove_not_recompute_node 0.61% : 0.000003s : 1: substitution.replace_applicator 1.61% : 0.000008s : 6: substitution.replace_old_param 0.74% : 0.000004s : 1: substitution.set_cell_output_no_recompute 3.29% : 0.000016s : 3: substitution.switch_simplify 2.14% : 0.000011s : 2: substitution.tuple_list_convert_item_index_to_positive 1.28% : 0.000006s : 2: substitution.tuple_list_get_item_depend_reorder 3.35% : 0.000017s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.160808 2 99.58% : 1.155955s : 1: type_inference.infer 0.42% : 0.004853s : 1: type_inference.specialize ------[replace.] 0.000207 17 54.81% : 0.000113s : 13: replace.inline 40.16% : 0.000083s : 3: replace.switch_simplify 5.04% : 0.000010s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000376 17 95.13% : 0.000357s : 13: match.inline 3.87% : 0.000015s : 3: match.switch_simplify 0.99% : 0.000004s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000261 1539 1.42% : 0.000004s : 26: predicate.accumulaten_eliminater 0.43% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.26% : 0.000003s : 26: predicate.addn_check_dump 1.55% : 0.000004s : 26: predicate.addn_zero_filter 1.98% : 0.000005s : 26: predicate.arithmetic_simplify 1.43% : 0.000004s : 26: predicate.cast_eliminate 0.13% : 0.000000s : 1: predicate.check_bprop_eliminate 1.37% : 0.000004s : 26: predicate.compare_switch_simplify 1.31% : 0.000003s : 26: predicate.depend_value_elim 1.26% : 0.000003s : 26: predicate.dict_get_item_const_eliminator 1.41% : 0.000004s : 26: predicate.dict_get_item_eliminator 1.38% : 0.000004s : 26: predicate.dict_set_item_eliminator 0.53% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.10% : 0.000000s : 1: predicate.elim_not_effective 0.20% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 1.50% : 0.000004s : 26: predicate.environ_add_const_eliminate 1.35% : 0.000004s : 26: predicate.environ_get_add_eliminate 1.22% : 0.000003s : 26: predicate.environ_get_depend_swap 1.63% : 0.000004s : 26: predicate.environ_get_eliminate 1.33% : 0.000003s : 26: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 1: predicate.fold_const_symbol 0.89% : 0.000002s : 13: predicate.get_grad_eliminate 0.14% : 0.000000s : 1: predicate.graph_param_transform 5.04% : 0.000013s : 42: predicate.inline 2.47% : 0.000006s : 35: predicate.inline_without_move 0.38% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.22% : 0.000003s : 13: predicate.less_batch_normalization 1.53% : 0.000004s : 27: predicate.list_to_tuple_eliminator_ 1.73% : 0.000005s : 28: predicate.load_eliminater 1.09% : 0.000003s : 1: predicate.loop_unroll_after_grad 3.82% : 0.000010s : 67: predicate.loop_unroll_before_grad 1.86% : 0.000005s : 27: predicate.make_slice_get_slice_eliminator 1.24% : 0.000003s : 26: predicate.merge_addn 1.35% : 0.000004s : 26: predicate.minmaximum_grad 0.90% : 0.000002s : 1: predicate.mutable_eliminate 0.18% : 0.000000s : 1: predicate.opt_reshape 1.95% : 0.000005s : 28: predicate.partial_eliminate 1.38% : 0.000004s : 26: predicate.print_const_string_wrapper 1.77% : 0.000005s : 26: predicate.reduce_eliminate 1.51% : 0.000004s : 27: predicate.redundant_stop_gradient_eliminater 0.59% : 0.000002s : 13: predicate.remove_not_recompute_node 1.48% : 0.000004s : 29: predicate.replace_applicator 1.38% : 0.000004s : 35: predicate.replace_old_param 0.21% : 0.000001s : 1: predicate.reset_defer_inline 1.43% : 0.000004s : 26: predicate.reshape_eliminate 1.35% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.41% : 0.000001s : 1: predicate.row_tensor_eliminate 1.45% : 0.000004s : 26: predicate.same_eliminate 0.62% : 0.000002s : 13: predicate.set_cell_output_no_recompute 0.43% : 0.000001s : 2: predicate.special_op_eliminate 1.13% : 0.000003s : 13: predicate.specialize_transform 1.60% : 0.000004s : 26: predicate.split_environ_get_set_with_tuple_value 1.43% : 0.000004s : 26: predicate.stack_unstack_eliminate 0.09% : 0.000000s : 1: predicate.switch_call_monad_eliminater 3.26% : 0.000008s : 40: predicate.switch_defer_inline 2.52% : 0.000007s : 40: predicate.switch_layer_defer_inline 8.04% : 0.000021s : 114: predicate.switch_simplify 1.44% : 0.000004s : 26: predicate.tile_eliminate 1.41% : 0.000004s : 26: predicate.transpose_eliminate 1.80% : 0.000005s : 26: predicate.tuple_list_convert_item_index_to_positive 1.85% : 0.000005s : 26: predicate.tuple_list_get_item_depend_reorder 3.24% : 0.000008s : 29: predicate.tuple_list_get_item_eliminator 1.80% : 0.000005s : 26: predicate.tuple_list_set_item_eliminator 1.45% : 0.000004s : 27: predicate.tuple_to_list_eliminator_ 1.44% : 0.000004s : 28: predicate.updatestate_pure_node_eliminater 2.92% : 0.000008s : 41: predicate.updatestate_useless_node_eliminater 1.60% : 0.000004s : 26: predicate.value_based_eliminate 0.08% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.25% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003937 37 81.20% : 0.003197s : 21: func_graph_cloner_run.FuncGraphClonerGraph 18.80% : 0.000740s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.478661 72 0.00% : 0.000048s : 1: add_recomputation 0.01% : 0.000210s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.03% : 0.000384s : 1: bootstrap 0.00% : 0.000040s : 1: cconv 0.00% : 0.000018s : 1: convert_after_rewriter 0.00% : 0.000025s : 1: cse_after_recomputation 0.00% : 0.000008s : 1: environ_conv 0.05% : 0.000766s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000014s : 1: graph_reusing 10.83% : 0.160073s : 1: jit_opt_a 0.01% : 0.000172s : 1: jit_opt_after_cconv 0.00% : 0.000055s : 1: jit_opt_b 0.04% : 0.000577s : 1: loop_unroll 0.06% : 0.000840s : 1: mutable_eliminate 0.15% : 0.002222s : 26: opt.transform.jit_opt_a 0.00% : 0.000042s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000022s : 4: opt.transform.jit_opt_b 0.00% : 0.000014s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000019s : 1: opt.transform.mutable_eliminate 0.00% : 0.000019s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000028s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000556s : 1: opt_after_jit_grad 0.00% : 0.000007s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000007s : 1: pre_auto_parallel 0.00% : 0.000074s : 1: py_interpret_to_execute 0.00% : 0.000017s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000021s : 1: remove_dup_value 10.15% : 0.150032s : 1: renormalize.infer 0.05% : 0.000702s : 1: renormalize.specialize 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000399s : 1: rewriter_after_opt_a 0.01% : 0.000163s : 1: rewriter_before_opt_a 0.01% : 0.000077s : 1: symbol_engine_optimizer 78.51% : 1.160964s : 1: type_inference . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape2-2-KBK] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape2-2-KBK],max_mem:4.0M . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape3-0-pynative] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape3-0-pynative],max_mem:4.0M TotalTime = 1.50234, [30] [bootstrap]: 0.00164963 [type_inference]: 1.29742 [event_method]: 2.24e-05 [auto_monad]: 6.996e-05 [graph_reusing]: 6.35002e-06 [pre_auto_parallel]: 2.54001e-06 [py_interpret_to_execute]: 0.0006065 [rewriter_before_opt_a]: 7.671e-05 [expand_dump_flag]: 3.91999e-06 [jit_opt_a]: 0.199024, [2] [Cycle 1]: 0.194063, [27] [switch_simplify]: 5.873e-05 [loop_unroll]: 2.58e-05 [a_1]: 0.00056528 [with_stream_mark]: 2.419e-05 [recompute_prepare]: 1.132e-05 [updatestate_depend_eliminate]: 4.50999e-06 [updatestate_assign_eliminate]: 3.81999e-06 [updatestate_loads_eliminate]: 3.14999e-06 [parameter_eliminate]: 2.01e-06 [specialize_transform]: 8.89e-06 [updatestate_useless_node_eliminater]: 6.54999e-06 [accelerated_algorithm]: 6.69999e-06 [meta_shard_fg_expand]: 2.29999e-06 [get_grad_eliminate_]: 6.94999e-06 [merge_forward]: 4.00998e-06 [cell_reuse_recompute_pass]: 1.27e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.796e-05 [j_node_and_user_rematch]: 1.147e-05 [meta_fg_expand]: 2.61999e-06 [replace_old_param]: 1.075e-05 [inline_without_move]: 6.94999e-06 [renormalize]: 0.192922 [add_forward_monad_depend]: 1.835e-05 [auto_monad_grad]: 2.73998e-06 [auto_monad_eliminator]: 2.604e-05 [cse]: 4.045e-05 [replace_applicator]: 2.78e-05 [Cycle 2]: 0.0004531, [27] [switch_simplify]: 8.64e-06 [loop_unroll]: 7.13e-06 [a_1]: 0.00014877 [with_stream_mark]: 1.858e-05 [recompute_prepare]: 6.59001e-06 [updatestate_depend_eliminate]: 4.13999e-06 [updatestate_assign_eliminate]: 3.23e-06 [updatestate_loads_eliminate]: 2.99001e-06 [parameter_eliminate]: 1.89999e-06 [specialize_transform]: 6.54999e-06 [updatestate_useless_node_eliminater]: 5.93002e-06 [accelerated_algorithm]: 6.14001e-06 [meta_shard_fg_expand]: 2.46e-06 [get_grad_eliminate_]: 6.82002e-06 [merge_forward]: 4.07e-06 [cell_reuse_recompute_pass]: 4.10998e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.356e-05 [j_node_and_user_rematch]: 1.239e-05 [meta_fg_expand]: 3.83999e-06 [replace_old_param]: 1.085e-05 [inline_without_move]: 6.46e-06 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 1.50999e-06 [auto_monad_grad]: 1.20999e-06 [auto_monad_eliminator]: 7.16001e-06 [cse]: 1.647e-05 [replace_applicator]: 7.85e-06 [py_interpret_to_execute_after_opt_a]: 2.054e-05 [rewriter_after_opt_a]: 4.34e-05 [convert_after_rewriter]: 7.88999e-06 [order_py_execute_after_rewriter]: 5.09998e-06 [mutable_eliminate]: 0.00090736 [jit_opt_b]: 7.493e-05, [1] [Cycle 1]: 6.263e-05, [2] [frontend_op_eliminate]: 2.418e-05 [inline_after_opt_a]: 2.415e-05 [cconv]: 3.821e-05 [loop_unroll]: 0.0005672 [jit_opt_after_cconv]: 0.00021618, [1] [Cycle 1]: 0.00020739, [11] [c_1]: 2.94e-05 [parameter_eliminate]: 6.43e-06 [updatestate_depend_eliminate]: 1.207e-05 [updatestate_assign_eliminate]: 3.2e-06 [updatestate_loads_eliminate]: 3.55e-06 [cse]: 4.11e-05 [call_graph_tuple_transform]: 3.248e-05 [tuple_list_get_item_eliminator]: 6.96001e-06 [none_parameter_eliminate]: 2.04999e-06 [renormalize]: 9.39996e-07 [switch_simplify]: 7.67002e-06 [remove_dup_value]: 1.997e-05 [partial_unused_args_eliminate]: 4.55999e-06 [environ_conv]: 1.233e-05 [add_recomputation]: 6.674e-05 [cse_after_recomputation]: 3.317e-05, [1] [Cycle 1]: 2.623e-05, [1] [cse]: 1.623e-05 [auto_monad_reorder]: 1.957e-05 [get_jit_bprop_graph]: 2.54999e-06 [rewriter_after_jit_bprop_graph]: 0.00021743 [opt_after_jit_grad]: 0.0006952 [symbol_engine_optimizer]: 0.00010121, [1] [Cycle 1]: 9.078e-05, [6] [build]: 6.93e-06 [elim_shapecalc]: 9.43002e-06 [elim_not_effective]: 1.883e-05 [opt_reshape]: 8.47998e-06 [fold_const_symbol]: 1.207e-05 [renormalize]: 7.09988e-07 [validate]: 6.28e-05 Sums bootstrap : 0.001650s : 0.11% type_inference : 1.297422s : 86.67% event_method : 0.000022s : 0.00% auto_monad : 0.000070s : 0.00% graph_reusing : 0.000006s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000606s : 0.04% rewriter_before_opt_a : 0.000077s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000067s : 0.00% jit_opt_a.loop_unroll : 0.000033s : 0.00% jit_opt_a.a_1 : 0.000714s : 0.05% jit_opt_a.with_stream_mark : 0.000043s : 0.00% jit_opt_a.recompute_prepare : 0.000018s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000007s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000006s : 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 : 0.000012s : 0.00% jit_opt_a.accelerated_algorithm : 0.000013s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000014s : 0.00% jit_opt_a.merge_forward : 0.000008s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 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 : 0.000022s : 0.00% jit_opt_a.inline_without_move : 0.000013s : 0.00% jit_opt_a.renormalize : 0.192922s : 12.89% jit_opt_a.add_forward_monad_depend : 0.000020s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 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 : 0.000036s : 0.00% py_interpret_to_execute_after_opt_a : 0.000021s : 0.00% rewriter_after_opt_a : 0.000043s : 0.00% convert_after_rewriter : 0.000008s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000907s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000024s : 0.00% jit_opt_b.inline_after_opt_a : 0.000024s : 0.00% cconv : 0.000038s : 0.00% loop_unroll : 0.000567s : 0.04% jit_opt_after_cconv.c_1 : 0.000029s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 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 : 0.000041s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000032s : 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 : 0.000008s : 0.00% remove_dup_value : 0.000020s : 0.00% partial_unused_args_eliminate : 0.000005s : 0.00% environ_conv : 0.000012s : 0.00% add_recomputation : 0.000067s : 0.00% cse_after_recomputation.cse : 0.000016s : 0.00% auto_monad_reorder : 0.000020s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000217s : 0.01% opt_after_jit_grad : 0.000695s : 0.05% symbol_engine_optimizer.build : 0.000007s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000009s : 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 : 0.000012s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000063s : 0.00% Time group info: ------[substitution.] 0.000211 23 1.21% : 0.000003s : 2: substitution.elim_not_effective 0.79% : 0.000002s : 2: substitution.fold_const_symbol 4.60% : 0.000010s : 4: substitution.graph_param_transform 80.08% : 0.000169s : 4: substitution.inline 2.15% : 0.000005s : 4: substitution.j_node_and_user_rematch 3.30% : 0.000007s : 4: substitution.remove_not_recompute_node 2.69% : 0.000006s : 2: substitution.replace_old_param 5.18% : 0.000011s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.297333 2 99.79% : 1.294648s : 1: type_inference.infer 0.21% : 0.002685s : 1: type_inference.specialize ------[replace.] 0.000058 5 82.16% : 0.000047s : 4: replace.inline 17.84% : 0.000010s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000176 5 94.29% : 0.000166s : 4: match.inline 5.71% : 0.000010s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000150 801 1.39% : 0.000002s : 12: predicate.accumulaten_eliminater 1.78% : 0.000003s : 4: predicate.ad_related_special_op_eliminate 1.04% : 0.000002s : 12: predicate.addn_check_dump 1.21% : 0.000002s : 12: predicate.addn_zero_filter 2.15% : 0.000003s : 12: predicate.arithmetic_simplify 1.37% : 0.000002s : 12: predicate.cast_eliminate 0.45% : 0.000001s : 4: predicate.check_bprop_eliminate 1.29% : 0.000002s : 12: predicate.compare_switch_simplify 1.16% : 0.000002s : 12: predicate.depend_value_elim 1.13% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.21% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.33% : 0.000002s : 12: predicate.dict_set_item_eliminator 1.58% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.49% : 0.000001s : 4: predicate.elim_not_effective 0.57% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.22% : 0.000002s : 12: predicate.environ_add_const_eliminate 1.44% : 0.000002s : 12: predicate.environ_get_add_eliminate 1.21% : 0.000002s : 12: predicate.environ_get_depend_swap 1.54% : 0.000002s : 12: predicate.environ_get_eliminate 1.03% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.27% : 0.000000s : 4: predicate.fold_const_symbol 1.03% : 0.000002s : 8: predicate.get_grad_eliminate 0.39% : 0.000001s : 4: predicate.graph_param_transform 5.45% : 0.000008s : 25: predicate.inline 0.82% : 0.000001s : 8: predicate.inline_without_move 0.41% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.15% : 0.000002s : 8: predicate.less_batch_normalization 1.51% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.51% : 0.000002s : 17: predicate.load_eliminater 1.70% : 0.000003s : 4: predicate.loop_unroll_after_grad 3.07% : 0.000005s : 28: predicate.loop_unroll_before_grad 2.32% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.01% : 0.000002s : 12: predicate.merge_addn 1.01% : 0.000002s : 12: predicate.minmaximum_grad 2.18% : 0.000003s : 4: predicate.mutable_eliminate 0.65% : 0.000001s : 4: predicate.opt_reshape 2.11% : 0.000003s : 17: predicate.partial_eliminate 1.56% : 0.000002s : 12: predicate.print_const_string_wrapper 1.90% : 0.000003s : 12: predicate.reduce_eliminate 1.70% : 0.000003s : 13: predicate.redundant_stop_gradient_eliminater 0.68% : 0.000001s : 8: predicate.remove_not_recompute_node 2.00% : 0.000003s : 21: predicate.replace_applicator 0.67% : 0.000001s : 8: predicate.replace_old_param 0.45% : 0.000001s : 4: predicate.reset_defer_inline 1.24% : 0.000002s : 12: predicate.reshape_eliminate 1.36% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.92% : 0.000001s : 4: predicate.row_tensor_eliminate 1.09% : 0.000002s : 12: predicate.same_eliminate 0.59% : 0.000001s : 8: predicate.set_cell_output_no_recompute 0.93% : 0.000001s : 8: predicate.special_op_eliminate 0.93% : 0.000001s : 8: predicate.specialize_transform 1.41% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 1.20% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.58% : 0.000001s : 4: predicate.switch_call_monad_eliminater 1.98% : 0.000003s : 17: predicate.switch_defer_inline 1.61% : 0.000002s : 17: predicate.switch_layer_defer_inline 6.33% : 0.000009s : 49: predicate.switch_simplify 1.25% : 0.000002s : 12: predicate.tile_eliminate 1.27% : 0.000002s : 12: predicate.transpose_eliminate 1.35% : 0.000002s : 12: predicate.tuple_list_convert_item_index_to_positive 1.15% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 4.41% : 0.000007s : 21: predicate.tuple_list_get_item_eliminator 1.84% : 0.000003s : 12: predicate.tuple_list_set_item_eliminator 1.26% : 0.000002s : 13: predicate.tuple_to_list_eliminator_ 1.40% : 0.000002s : 17: predicate.updatestate_pure_node_eliminater 3.00% : 0.000004s : 25: predicate.updatestate_useless_node_eliminater 1.84% : 0.000003s : 12: predicate.value_based_eliminate 0.33% : 0.000000s : 4: predicate.virtual_view_grad_eliminate 0.62% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003025 18 65.04% : 0.001968s : 12: func_graph_cloner_run.FuncGraphClonerGraph 34.96% : 0.001058s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.696283 72 0.00% : 0.000073s : 1: add_recomputation 0.00% : 0.000073s : 1: auto_monad 0.00% : 0.000024s : 1: auto_monad_reorder 0.10% : 0.001688s : 1: bootstrap 0.00% : 0.000041s : 1: cconv 0.00% : 0.000011s : 1: convert_after_rewriter 0.00% : 0.000035s : 1: cse_after_recomputation 0.00% : 0.000015s : 1: environ_conv 0.00% : 0.000028s : 1: event_method 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000009s : 1: graph_reusing 11.73% : 0.199029s : 1: jit_opt_a 0.01% : 0.000219s : 1: jit_opt_after_cconv 0.00% : 0.000079s : 1: jit_opt_b 0.03% : 0.000581s : 1: loop_unroll 0.05% : 0.000932s : 1: mutable_eliminate 0.06% : 0.000985s : 26: opt.transform.jit_opt_a 0.00% : 0.000072s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000038s : 4: opt.transform.jit_opt_b 0.00% : 0.000020s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000027s : 1: opt.transform.mutable_eliminate 0.00% : 0.000040s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000044s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000711s : 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% : 0.000005s : 1: pre_auto_parallel 0.04% : 0.000617s : 1: py_interpret_to_execute 0.00% : 0.000024s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000023s : 1: remove_dup_value 11.30% : 0.191662s : 1: renormalize.infer 0.07% : 0.001244s : 1: renormalize.specialize 0.01% : 0.000227s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000047s : 1: rewriter_after_opt_a 0.00% : 0.000082s : 1: rewriter_before_opt_a 0.01% : 0.000105s : 1: symbol_engine_optimizer 76.49% : 1.297448s : 1: type_inference TotalTime = 1.25692, [30] [bootstrap]: 0.00037704 [type_inference]: 1.01969 [event_method]: 0.00087333 [auto_monad]: 0.00029133 [graph_reusing]: 1.164e-05 [pre_auto_parallel]: 4.18999e-06 [py_interpret_to_execute]: 8.234e-05 [rewriter_before_opt_a]: 0.00019425 [expand_dump_flag]: 5.49998e-06 [jit_opt_a]: 0.232307, [2] [Cycle 1]: 0.227525, [27] [switch_simplify]: 0.00026795 [loop_unroll]: 6.196e-05 [a_1]: 0.216844 [with_stream_mark]: 5.425e-05 [recompute_prepare]: 3.092e-05 [updatestate_depend_eliminate]: 1.094e-05 [updatestate_assign_eliminate]: 7.83001e-06 [updatestate_loads_eliminate]: 7.09001e-06 [parameter_eliminate]: 4.45999e-06 [specialize_transform]: 1.611e-05 [updatestate_useless_node_eliminater]: 1.475e-05 [accelerated_algorithm]: 1.524e-05 [meta_shard_fg_expand]: 9.37001e-06 [get_grad_eliminate_]: 1.431e-05 [merge_forward]: 1.015e-05 [cell_reuse_recompute_pass]: 1.90001e-06 [cell_reuse_handle_not_recompute_node_pass]: 4.734e-05 [j_node_and_user_rematch]: 3.064e-05 [meta_fg_expand]: 0.00232532 [replace_old_param]: 8.453e-05 [inline_without_move]: 7.201e-05 [renormalize]: 0.00715842 [add_forward_monad_depend]: 9.05999e-06 [auto_monad_grad]: 2.96999e-06 [auto_monad_eliminator]: 1.744e-05 [cse]: 3.437e-05 [replace_applicator]: 2.53e-05 [Cycle 2]: 0.00049907, [27] [switch_simplify]: 6.43003e-06 [loop_unroll]: 4.57e-06 [a_1]: 5.416e-05 [with_stream_mark]: 1.665e-05 [recompute_prepare]: 3.91999e-06 [updatestate_depend_eliminate]: 3.48999e-06 [updatestate_assign_eliminate]: 2.67001e-06 [updatestate_loads_eliminate]: 2.39999e-06 [parameter_eliminate]: 2.02999e-06 [specialize_transform]: 4.22998e-06 [updatestate_useless_node_eliminater]: 3.85e-06 [accelerated_algorithm]: 4.08999e-06 [meta_shard_fg_expand]: 1.96e-06 [get_grad_eliminate_]: 3.58999e-06 [merge_forward]: 3.98001e-06 [cell_reuse_recompute_pass]: 3.33e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.724e-05 [j_node_and_user_rematch]: 7.28e-06 [meta_fg_expand]: 0.00018448 [replace_old_param]: 7.04001e-06 [inline_without_move]: 4.02998e-06 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 1.99999e-06 [auto_monad_grad]: 1.26002e-06 [auto_monad_eliminator]: 6.63e-06 [cse]: 1.434e-05 [replace_applicator]: 4.40999e-06 [py_interpret_to_execute_after_opt_a]: 1.4e-05 [rewriter_after_opt_a]: 0.00039027 [convert_after_rewriter]: 1.282e-05 [order_py_execute_after_rewriter]: 4.88001e-06 [mutable_eliminate]: 0.00081266 [jit_opt_b]: 5.398e-05, [1] [Cycle 1]: 4.374e-05, [2] [frontend_op_eliminate]: 1.429e-05 [inline_after_opt_a]: 1.695e-05 [cconv]: 3.854e-05 [loop_unroll]: 0.00053375 [jit_opt_after_cconv]: 0.00016616, [1] [Cycle 1]: 0.00015848, [11] [c_1]: 1.602e-05 [parameter_eliminate]: 5.49e-06 [updatestate_depend_eliminate]: 9.81998e-06 [updatestate_assign_eliminate]: 2.68998e-06 [updatestate_loads_eliminate]: 2.30002e-06 [cse]: 3.421e-05 [call_graph_tuple_transform]: 2.107e-05 [tuple_list_get_item_eliminator]: 4.76002e-06 [none_parameter_eliminate]: 1.59998e-06 [renormalize]: 8.70001e-07 [switch_simplify]: 4.95001e-06 [remove_dup_value]: 1.849e-05 [partial_unused_args_eliminate]: 2.09e-06 [environ_conv]: 5.93002e-06 [add_recomputation]: 5.098e-05 [cse_after_recomputation]: 2.363e-05, [1] [Cycle 1]: 1.698e-05, [1] [cse]: 9.86e-06 [auto_monad_reorder]: 1.544e-05 [get_jit_bprop_graph]: 2.51e-06 [rewriter_after_jit_bprop_graph]: 7.86001e-06 [opt_after_jit_grad]: 0.00053448 [symbol_engine_optimizer]: 7.739e-05, [1] [Cycle 1]: 7.028e-05, [6] [build]: 4.07e-06 [elim_shapecalc]: 7.3e-06 [elim_not_effective]: 1.37e-05 [opt_reshape]: 6.04001e-06 [fold_const_symbol]: 7.18998e-06 [renormalize]: 5.29981e-07 [validate]: 4.255e-05 Sums bootstrap : 0.000377s : 0.03% type_inference : 1.019685s : 81.46% event_method : 0.000873s : 0.07% auto_monad : 0.000291s : 0.02% graph_reusing : 0.000012s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000082s : 0.01% rewriter_before_opt_a : 0.000194s : 0.02% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000274s : 0.02% jit_opt_a.loop_unroll : 0.000067s : 0.01% jit_opt_a.a_1 : 0.216898s : 17.33% jit_opt_a.with_stream_mark : 0.000071s : 0.01% jit_opt_a.recompute_prepare : 0.000035s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000014s : 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 : 0.000020s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000019s : 0.00% jit_opt_a.accelerated_algorithm : 0.000019s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000011s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000018s : 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 : 0.000065s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000038s : 0.00% jit_opt_a.meta_fg_expand : 0.002510s : 0.20% jit_opt_a.replace_old_param : 0.000092s : 0.01% jit_opt_a.inline_without_move : 0.000076s : 0.01% jit_opt_a.renormalize : 0.007159s : 0.57% 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 : 0.000049s : 0.00% jit_opt_a.replace_applicator : 0.000030s : 0.00% py_interpret_to_execute_after_opt_a : 0.000014s : 0.00% rewriter_after_opt_a : 0.000390s : 0.03% convert_after_rewriter : 0.000013s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000813s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000014s : 0.00% jit_opt_b.inline_after_opt_a : 0.000017s : 0.00% cconv : 0.000039s : 0.00% loop_unroll : 0.000534s : 0.04% jit_opt_after_cconv.c_1 : 0.000016s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000010s : 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 : 0.000034s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000021s : 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 : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000006s : 0.00% add_recomputation : 0.000051s : 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 : 0.000008s : 0.00% opt_after_jit_grad : 0.000534s : 0.04% symbol_engine_optimizer.build : 0.000004s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000007s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000014s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000006s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000007s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000043s : 0.00% Time group info: ------[substitution.] 0.000654 65 0.27% : 0.000002s : 1: substitution.elim_not_effective 0.20% : 0.000001s : 1: substitution.fold_const_symbol 0.96% : 0.000006s : 1: substitution.graph_param_transform 78.17% : 0.000511s : 13: substitution.inline 4.41% : 0.000029s : 2: substitution.inline_without_move 1.46% : 0.000010s : 9: substitution.j_node_and_user_rematch 0.74% : 0.000005s : 2: substitution.minmaximum_grad 1.38% : 0.000009s : 9: substitution.partial_eliminate 1.35% : 0.000009s : 9: substitution.remove_not_recompute_node 0.40% : 0.000003s : 1: substitution.replace_applicator 1.15% : 0.000008s : 6: substitution.replace_old_param 0.49% : 0.000003s : 1: substitution.set_cell_output_no_recompute 2.84% : 0.000019s : 3: substitution.switch_simplify 1.58% : 0.000010s : 2: substitution.tuple_list_convert_item_index_to_positive 0.92% : 0.000006s : 2: substitution.tuple_list_get_item_depend_reorder 3.69% : 0.000024s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.019518 2 99.51% : 1.014490s : 1: type_inference.infer 0.49% : 0.005027s : 1: type_inference.specialize ------[replace.] 0.000236 17 57.36% : 0.000135s : 13: replace.inline 37.66% : 0.000089s : 3: replace.switch_simplify 4.98% : 0.000012s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000530 17 94.78% : 0.000502s : 13: match.inline 3.11% : 0.000016s : 3: match.switch_simplify 2.10% : 0.000011s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000278 1539 1.35% : 0.000004s : 26: predicate.accumulaten_eliminater 0.41% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.24% : 0.000003s : 26: predicate.addn_check_dump 1.65% : 0.000005s : 26: predicate.addn_zero_filter 2.26% : 0.000006s : 26: predicate.arithmetic_simplify 1.37% : 0.000004s : 26: predicate.cast_eliminate 0.11% : 0.000000s : 1: predicate.check_bprop_eliminate 1.17% : 0.000003s : 26: predicate.compare_switch_simplify 1.42% : 0.000004s : 26: predicate.depend_value_elim 1.13% : 0.000003s : 26: predicate.dict_get_item_const_eliminator 1.53% : 0.000004s : 26: predicate.dict_get_item_eliminator 1.35% : 0.000004s : 26: predicate.dict_set_item_eliminator 0.29% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.14% : 0.000000s : 1: predicate.elim_not_effective 0.15% : 0.000000s : 1: predicate.elim_shapecalc_of_broadcastargs 1.29% : 0.000004s : 26: predicate.environ_add_const_eliminate 1.19% : 0.000003s : 26: predicate.environ_get_add_eliminate 1.34% : 0.000004s : 26: predicate.environ_get_depend_swap 1.36% : 0.000004s : 26: predicate.environ_get_eliminate 1.42% : 0.000004s : 26: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 1: predicate.fold_const_symbol 0.83% : 0.000002s : 13: predicate.get_grad_eliminate 0.06% : 0.000000s : 1: predicate.graph_param_transform 5.25% : 0.000015s : 42: predicate.inline 2.52% : 0.000007s : 35: predicate.inline_without_move 0.36% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.18% : 0.000003s : 13: predicate.less_batch_normalization 1.49% : 0.000004s : 27: predicate.list_to_tuple_eliminator_ 1.53% : 0.000004s : 28: predicate.load_eliminater 0.79% : 0.000002s : 1: predicate.loop_unroll_after_grad 3.80% : 0.000011s : 67: predicate.loop_unroll_before_grad 1.79% : 0.000005s : 27: predicate.make_slice_get_slice_eliminator 1.30% : 0.000004s : 26: predicate.merge_addn 1.29% : 0.000004s : 26: predicate.minmaximum_grad 0.71% : 0.000002s : 1: predicate.mutable_eliminate 0.21% : 0.000001s : 1: predicate.opt_reshape 1.99% : 0.000006s : 28: predicate.partial_eliminate 1.35% : 0.000004s : 26: predicate.print_const_string_wrapper 1.79% : 0.000005s : 26: predicate.reduce_eliminate 1.80% : 0.000005s : 27: predicate.redundant_stop_gradient_eliminater 0.57% : 0.000002s : 13: predicate.remove_not_recompute_node 1.46% : 0.000004s : 29: predicate.replace_applicator 1.35% : 0.000004s : 35: predicate.replace_old_param 0.18% : 0.000000s : 1: predicate.reset_defer_inline 1.35% : 0.000004s : 26: predicate.reshape_eliminate 1.36% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.46% : 0.000001s : 1: predicate.row_tensor_eliminate 1.32% : 0.000004s : 26: predicate.same_eliminate 0.46% : 0.000001s : 13: predicate.set_cell_output_no_recompute 0.31% : 0.000001s : 2: predicate.special_op_eliminate 0.86% : 0.000002s : 13: predicate.specialize_transform 1.56% : 0.000004s : 26: predicate.split_environ_get_set_with_tuple_value 1.35% : 0.000004s : 26: predicate.stack_unstack_eliminate 0.15% : 0.000000s : 1: predicate.switch_call_monad_eliminater 5.96% : 0.000017s : 40: predicate.switch_defer_inline 2.43% : 0.000007s : 40: predicate.switch_layer_defer_inline 7.58% : 0.000021s : 114: predicate.switch_simplify 1.24% : 0.000003s : 26: predicate.tile_eliminate 1.26% : 0.000004s : 26: predicate.transpose_eliminate 1.63% : 0.000005s : 26: predicate.tuple_list_convert_item_index_to_positive 1.58% : 0.000004s : 26: predicate.tuple_list_get_item_depend_reorder 3.73% : 0.000010s : 29: predicate.tuple_list_get_item_eliminator 1.85% : 0.000005s : 26: predicate.tuple_list_set_item_eliminator 1.47% : 0.000004s : 27: predicate.tuple_to_list_eliminator_ 1.72% : 0.000005s : 28: predicate.updatestate_pure_node_eliminater 2.44% : 0.000007s : 41: predicate.updatestate_useless_node_eliminater 1.92% : 0.000005s : 26: predicate.value_based_eliminate 0.07% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.14% : 0.000000s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.004509 37 84.07% : 0.003791s : 21: func_graph_cloner_run.FuncGraphClonerGraph 15.93% : 0.000718s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.481681 72 0.00% : 0.000055s : 1: add_recomputation 0.02% : 0.000308s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.03% : 0.000408s : 1: bootstrap 0.00% : 0.000041s : 1: cconv 0.00% : 0.000017s : 1: convert_after_rewriter 0.00% : 0.000026s : 1: cse_after_recomputation 0.00% : 0.000008s : 1: environ_conv 0.06% : 0.000891s : 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 15.68% : 0.232311s : 1: jit_opt_a 0.01% : 0.000169s : 1: jit_opt_after_cconv 0.00% : 0.000057s : 1: jit_opt_b 0.04% : 0.000545s : 1: loop_unroll 0.06% : 0.000826s : 1: mutable_eliminate 14.69% : 0.217587s : 26: opt.transform.jit_opt_a 0.00% : 0.000043s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000022s : 4: opt.transform.jit_opt_b 0.00% : 0.000014s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000017s : 1: opt.transform.mutable_eliminate 0.00% : 0.000020s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000030s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000545s : 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% : 0.000087s : 1: py_interpret_to_execute 0.00% : 0.000016s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 0.43% : 0.006337s : 1: renormalize.infer 0.05% : 0.000807s : 1: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000397s : 1: rewriter_after_opt_a 0.01% : 0.000199s : 1: rewriter_before_opt_a 0.01% : 0.000080s : 1: symbol_engine_optimizer 68.82% : 1.019722s : 1: type_inference . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape3-0-KBK] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape3-0-KBK],max_mem:4.0M . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape4-1-pynative] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape4-1-pynative],max_mem:4.0M TotalTime = 1.02311, [30] [bootstrap]: 0.00083413 [type_inference]: 1.00891 [event_method]: 2.356e-05 [auto_monad]: 7.406e-05 [graph_reusing]: 6.07001e-06 [pre_auto_parallel]: 2.49001e-06 [py_interpret_to_execute]: 0.00054939 [rewriter_before_opt_a]: 8.396e-05 [expand_dump_flag]: 4.1e-06 [jit_opt_a]: 0.00957217, [2] [Cycle 1]: 0.00411437, [27] [switch_simplify]: 6.05e-05 [loop_unroll]: 2.676e-05 [a_1]: 0.00057713 [with_stream_mark]: 3.212e-05 [recompute_prepare]: 1.24e-05 [updatestate_depend_eliminate]: 5.29e-06 [updatestate_assign_eliminate]: 3.96001e-06 [updatestate_loads_eliminate]: 3.81001e-06 [parameter_eliminate]: 1.90001e-06 [specialize_transform]: 7.98999e-06 [updatestate_useless_node_eliminater]: 6.54999e-06 [accelerated_algorithm]: 6.97002e-06 [meta_shard_fg_expand]: 2.54999e-06 [get_grad_eliminate_]: 6.78e-06 [merge_forward]: 5.17999e-06 [cell_reuse_recompute_pass]: 1.14998e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.92e-05 [j_node_and_user_rematch]: 1.127e-05 [meta_fg_expand]: 2.56e-06 [replace_old_param]: 1.175e-05 [inline_without_move]: 6.74001e-06 [renormalize]: 0.0029618 [add_forward_monad_depend]: 1.779e-05 [auto_monad_grad]: 3.53999e-06 [auto_monad_eliminator]: 2.302e-05 [cse]: 3.817e-05 [replace_applicator]: 2.484e-05 [Cycle 2]: 0.00043782, [27] [switch_simplify]: 7.53999e-06 [loop_unroll]: 6.73e-06 [a_1]: 0.00013203 [with_stream_mark]: 2.082e-05 [recompute_prepare]: 7.56001e-06 [updatestate_depend_eliminate]: 4.87e-06 [updatestate_assign_eliminate]: 3.26999e-06 [updatestate_loads_eliminate]: 2.94999e-06 [parameter_eliminate]: 2.01998e-06 [specialize_transform]: 6.43e-06 [updatestate_useless_node_eliminater]: 5.79e-06 [accelerated_algorithm]: 6.01e-06 [meta_shard_fg_expand]: 2.07999e-06 [get_grad_eliminate_]: 6.58e-06 [merge_forward]: 4.65001e-06 [cell_reuse_recompute_pass]: 3.61999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.213e-05 [j_node_and_user_rematch]: 1.07e-05 [meta_fg_expand]: 2.32999e-06 [replace_old_param]: 9.84001e-06 [inline_without_move]: 6.53e-06 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 1.62999e-06 [auto_monad_grad]: 1.64e-06 [auto_monad_eliminator]: 8.47e-06 [cse]: 1.69e-05 [replace_applicator]: 7.01001e-06 [py_interpret_to_execute_after_opt_a]: 1.722e-05 [rewriter_after_opt_a]: 4.088e-05 [convert_after_rewriter]: 6.91999e-06 [order_py_execute_after_rewriter]: 5.42001e-06 [mutable_eliminate]: 0.00076291 [jit_opt_b]: 6.724e-05, [1] [Cycle 1]: 5.636e-05, [2] [frontend_op_eliminate]: 2.257e-05 [inline_after_opt_a]: 2.119e-05 [cconv]: 3.603e-05 [loop_unroll]: 0.00047623 [jit_opt_after_cconv]: 0.00019772, [1] [Cycle 1]: 0.00019022, [11] [c_1]: 2.847e-05 [parameter_eliminate]: 4.58001e-06 [updatestate_depend_eliminate]: 1.011e-05 [updatestate_assign_eliminate]: 4.07e-06 [updatestate_loads_eliminate]: 2.73998e-06 [cse]: 3.559e-05 [call_graph_tuple_transform]: 2.84e-05 [tuple_list_get_item_eliminator]: 6.66e-06 [none_parameter_eliminate]: 1.74e-06 [renormalize]: 7.50006e-07 [switch_simplify]: 1.028e-05 [remove_dup_value]: 1.758e-05 [partial_unused_args_eliminate]: 2.34001e-06 [environ_conv]: 1.153e-05 [add_recomputation]: 5.976e-05 [cse_after_recomputation]: 2.963e-05, [1] [Cycle 1]: 2.04e-05, [1] [cse]: 1.374e-05 [auto_monad_reorder]: 1.615e-05 [get_jit_bprop_graph]: 2.00002e-06 [rewriter_after_jit_bprop_graph]: 0.00020412 [opt_after_jit_grad]: 0.00056267 [symbol_engine_optimizer]: 8.928e-05, [1] [Cycle 1]: 8.159e-05, [6] [build]: 5.17e-06 [elim_shapecalc]: 9.29e-06 [elim_not_effective]: 1.614e-05 [opt_reshape]: 8.61002e-06 [fold_const_symbol]: 1.049e-05 [renormalize]: 7.39994e-07 [validate]: 6.017e-05 Sums bootstrap : 0.000834s : 0.08% type_inference : 1.008909s : 99.18% event_method : 0.000024s : 0.00% auto_monad : 0.000074s : 0.01% graph_reusing : 0.000006s : 0.00% pre_auto_parallel : 0.000002s : 0.00% py_interpret_to_execute : 0.000549s : 0.05% rewriter_before_opt_a : 0.000084s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000068s : 0.01% jit_opt_a.loop_unroll : 0.000033s : 0.00% jit_opt_a.a_1 : 0.000709s : 0.07% jit_opt_a.with_stream_mark : 0.000053s : 0.01% 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 : 0.000007s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000014s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000012s : 0.00% jit_opt_a.accelerated_algorithm : 0.000013s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000013s : 0.00% jit_opt_a.merge_forward : 0.000010s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000041s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000022s : 0.00% jit_opt_a.meta_fg_expand : 0.000005s : 0.00% jit_opt_a.replace_old_param : 0.000022s : 0.00% jit_opt_a.inline_without_move : 0.000013s : 0.00% jit_opt_a.renormalize : 0.002962s : 0.29% jit_opt_a.add_forward_monad_depend : 0.000019s : 0.00% jit_opt_a.auto_monad_grad : 0.000005s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000031s : 0.00% jit_opt_a.cse : 0.000055s : 0.01% jit_opt_a.replace_applicator : 0.000032s : 0.00% py_interpret_to_execute_after_opt_a : 0.000017s : 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 : 0.000763s : 0.08% jit_opt_b.frontend_op_eliminate : 0.000023s : 0.00% jit_opt_b.inline_after_opt_a : 0.000021s : 0.00% cconv : 0.000036s : 0.00% loop_unroll : 0.000476s : 0.05% jit_opt_after_cconv.c_1 : 0.000028s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000010s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000036s : 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 : 0.000010s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000012s : 0.00% add_recomputation : 0.000060s : 0.01% 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 : 0.000204s : 0.02% opt_after_jit_grad : 0.000563s : 0.06% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000009s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000016s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000010s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000060s : 0.01% Time group info: ------[substitution.] 0.000227 23 0.89% : 0.000002s : 2: substitution.elim_not_effective 0.59% : 0.000001s : 2: substitution.fold_const_symbol 2.97% : 0.000007s : 4: substitution.graph_param_transform 83.25% : 0.000189s : 4: substitution.inline 2.10% : 0.000005s : 4: substitution.j_node_and_user_rematch 2.67% : 0.000006s : 4: substitution.remove_not_recompute_node 2.98% : 0.000007s : 2: substitution.replace_old_param 4.54% : 0.000010s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.008803 2 99.73% : 1.006100s : 1: type_inference.infer 0.27% : 0.002702s : 1: type_inference.specialize ------[replace.] 0.000057 5 84.54% : 0.000048s : 4: replace.inline 15.46% : 0.000009s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000195 5 95.11% : 0.000186s : 4: match.inline 4.89% : 0.000010s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000138 801 1.31% : 0.000002s : 12: predicate.accumulaten_eliminater 1.47% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.99% : 0.000001s : 12: predicate.addn_check_dump 1.10% : 0.000002s : 12: predicate.addn_zero_filter 1.71% : 0.000002s : 12: predicate.arithmetic_simplify 1.32% : 0.000002s : 12: predicate.cast_eliminate 0.61% : 0.000001s : 4: predicate.check_bprop_eliminate 1.03% : 0.000001s : 12: predicate.compare_switch_simplify 1.13% : 0.000002s : 12: predicate.depend_value_elim 1.09% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.18% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.17% : 0.000002s : 12: predicate.dict_set_item_eliminator 1.18% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.51% : 0.000001s : 4: predicate.elim_not_effective 0.60% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.26% : 0.000002s : 12: predicate.environ_add_const_eliminate 1.13% : 0.000002s : 12: predicate.environ_get_add_eliminate 1.08% : 0.000001s : 12: predicate.environ_get_depend_swap 1.39% : 0.000002s : 12: predicate.environ_get_eliminate 1.20% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.26% : 0.000000s : 4: predicate.fold_const_symbol 1.05% : 0.000001s : 8: predicate.get_grad_eliminate 0.26% : 0.000000s : 4: predicate.graph_param_transform 5.82% : 0.000008s : 25: predicate.inline 1.09% : 0.000002s : 8: predicate.inline_without_move 0.46% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.22% : 0.000002s : 8: predicate.less_batch_normalization 1.50% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.62% : 0.000002s : 17: predicate.load_eliminater 1.65% : 0.000002s : 4: predicate.loop_unroll_after_grad 3.18% : 0.000004s : 28: predicate.loop_unroll_before_grad 1.94% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.13% : 0.000002s : 12: predicate.merge_addn 1.16% : 0.000002s : 12: predicate.minmaximum_grad 1.81% : 0.000003s : 4: predicate.mutable_eliminate 0.70% : 0.000001s : 4: predicate.opt_reshape 2.36% : 0.000003s : 17: predicate.partial_eliminate 1.11% : 0.000002s : 12: predicate.print_const_string_wrapper 1.57% : 0.000002s : 12: predicate.reduce_eliminate 1.44% : 0.000002s : 13: predicate.redundant_stop_gradient_eliminater 0.79% : 0.000001s : 8: predicate.remove_not_recompute_node 2.58% : 0.000004s : 21: predicate.replace_applicator 0.59% : 0.000001s : 8: predicate.replace_old_param 0.53% : 0.000001s : 4: predicate.reset_defer_inline 1.37% : 0.000002s : 12: predicate.reshape_eliminate 1.18% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.79% : 0.000001s : 4: predicate.row_tensor_eliminate 1.29% : 0.000002s : 12: predicate.same_eliminate 0.61% : 0.000001s : 8: predicate.set_cell_output_no_recompute 1.28% : 0.000002s : 8: predicate.special_op_eliminate 1.06% : 0.000001s : 8: predicate.specialize_transform 1.40% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 1.24% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.44% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.28% : 0.000003s : 17: predicate.switch_defer_inline 2.05% : 0.000003s : 17: predicate.switch_layer_defer_inline 6.98% : 0.000010s : 49: predicate.switch_simplify 1.09% : 0.000002s : 12: predicate.tile_eliminate 1.33% : 0.000002s : 12: predicate.transpose_eliminate 1.35% : 0.000002s : 12: predicate.tuple_list_convert_item_index_to_positive 1.18% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 4.63% : 0.000006s : 21: predicate.tuple_list_get_item_eliminator 1.52% : 0.000002s : 12: predicate.tuple_list_set_item_eliminator 1.41% : 0.000002s : 13: predicate.tuple_to_list_eliminator_ 1.79% : 0.000002s : 17: predicate.updatestate_pure_node_eliminater 2.79% : 0.000004s : 25: predicate.updatestate_useless_node_eliminater 1.61% : 0.000002s : 12: predicate.value_based_eliminate 0.37% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.69% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.002726 18 71.50% : 0.001949s : 12: func_graph_cloner_run.FuncGraphClonerGraph 28.50% : 0.000777s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.027000 72 0.01% : 0.000064s : 1: add_recomputation 0.01% : 0.000078s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.09% : 0.000876s : 1: bootstrap 0.00% : 0.000039s : 1: cconv 0.00% : 0.000009s : 1: convert_after_rewriter 0.00% : 0.000032s : 1: cse_after_recomputation 0.00% : 0.000014s : 1: environ_conv 0.00% : 0.000030s : 1: event_method 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000004s : 1: get_jit_bprop_graph 0.00% : 0.000009s : 1: graph_reusing 0.93% : 0.009576s : 1: jit_opt_a 0.02% : 0.000201s : 1: jit_opt_after_cconv 0.01% : 0.000071s : 1: jit_opt_b 0.05% : 0.000487s : 1: loop_unroll 0.08% : 0.000780s : 1: mutable_eliminate 0.10% : 0.000976s : 26: opt.transform.jit_opt_a 0.01% : 0.000070s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000035s : 4: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000021s : 1: opt.transform.mutable_eliminate 0.00% : 0.000031s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000040s : 4: opt.transform.symbol_engine_opt 0.06% : 0.000576s : 1: opt_after_jit_grad 0.00% : 0.000008s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pre_auto_parallel 0.05% : 0.000559s : 1: py_interpret_to_execute 0.00% : 0.000020s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 0.20% : 0.002057s : 1: renormalize.infer 0.09% : 0.000890s : 1: renormalize.specialize 0.02% : 0.000212s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000046s : 1: rewriter_after_opt_a 0.01% : 0.000090s : 1: rewriter_before_opt_a 0.01% : 0.000093s : 1: symbol_engine_optimizer 98.24% : 1.008935s : 1: type_inference TotalTime = 1.19291, [30] [bootstrap]: 0.00034151 [type_inference]: 1.04292 [event_method]: 0.00071446 [auto_monad]: 0.00042983 [graph_reusing]: 1.16e-05 [pre_auto_parallel]: 4.38001e-06 [py_interpret_to_execute]: 0.00012136 [rewriter_before_opt_a]: 0.00018294 [expand_dump_flag]: 5.34998e-06 [jit_opt_a]: 0.145337, [2] [Cycle 1]: 0.140758, [27] [switch_simplify]: 0.00026027 [loop_unroll]: 6.51e-05 [a_1]: 0.00147132 [with_stream_mark]: 4.04e-05 [recompute_prepare]: 2.891e-05 [updatestate_depend_eliminate]: 1.106e-05 [updatestate_assign_eliminate]: 6.84001e-06 [updatestate_loads_eliminate]: 7.03998e-06 [parameter_eliminate]: 3.85e-06 [specialize_transform]: 1.684e-05 [updatestate_useless_node_eliminater]: 1.466e-05 [accelerated_algorithm]: 1.51e-05 [meta_shard_fg_expand]: 4.74998e-06 [get_grad_eliminate_]: 1.473e-05 [merge_forward]: 1.05e-05 [cell_reuse_recompute_pass]: 1.40999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.41e-05 [j_node_and_user_rematch]: 2.732e-05 [meta_fg_expand]: 0.00219718 [replace_old_param]: 7.943e-05 [inline_without_move]: 6.653e-05 [renormalize]: 0.135978 [add_forward_monad_depend]: 8.67998e-06 [auto_monad_grad]: 2.69999e-06 [auto_monad_eliminator]: 1.694e-05 [cse]: 2.908e-05 [replace_applicator]: 2.566e-05 [Cycle 2]: 0.00047546, [27] [switch_simplify]: 6.07999e-06 [loop_unroll]: 5.12e-06 [a_1]: 5.394e-05 [with_stream_mark]: 1.409e-05 [recompute_prepare]: 3.77002e-06 [updatestate_depend_eliminate]: 3.33998e-06 [updatestate_assign_eliminate]: 2.69999e-06 [updatestate_loads_eliminate]: 2.23002e-06 [parameter_eliminate]: 1.81e-06 [specialize_transform]: 4.16001e-06 [updatestate_useless_node_eliminater]: 3.56999e-06 [accelerated_algorithm]: 4.13999e-06 [meta_shard_fg_expand]: 2.24999e-06 [get_grad_eliminate_]: 3.8e-06 [merge_forward]: 3.91999e-06 [cell_reuse_recompute_pass]: 4.01001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.713e-05 [j_node_and_user_rematch]: 7.20003e-06 [meta_fg_expand]: 0.00016664 [replace_old_param]: 6.91999e-06 [inline_without_move]: 4.51002e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 1.92999e-06 [auto_monad_grad]: 1.24e-06 [auto_monad_eliminator]: 6.56e-06 [cse]: 1.357e-05 [replace_applicator]: 5.22e-06 [py_interpret_to_execute_after_opt_a]: 1.372e-05 [rewriter_after_opt_a]: 0.0003626 [convert_after_rewriter]: 1.165e-05 [order_py_execute_after_rewriter]: 4.94e-06 [mutable_eliminate]: 0.00075027 [jit_opt_b]: 6.44e-05, [1] [Cycle 1]: 5.532e-05, [2] [frontend_op_eliminate]: 1.339e-05 [inline_after_opt_a]: 2.919e-05 [cconv]: 3.279e-05 [loop_unroll]: 0.00047823 [jit_opt_after_cconv]: 0.00014861, [1] [Cycle 1]: 0.00014017, [11] [c_1]: 1.496e-05 [parameter_eliminate]: 5.31998e-06 [updatestate_depend_eliminate]: 7.36999e-06 [updatestate_assign_eliminate]: 2.12001e-06 [updatestate_loads_eliminate]: 1.96e-06 [cse]: 2.518e-05 [call_graph_tuple_transform]: 1.817e-05 [tuple_list_get_item_eliminator]: 4.37e-06 [none_parameter_eliminate]: 1.57001e-06 [renormalize]: 1.12e-06 [switch_simplify]: 4.47998e-06 [remove_dup_value]: 1.697e-05 [partial_unused_args_eliminate]: 2.75997e-06 [environ_conv]: 6.53998e-06 [add_recomputation]: 4.305e-05 [cse_after_recomputation]: 2.311e-05, [1] [Cycle 1]: 1.672e-05, [1] [cse]: 9.86e-06 [auto_monad_reorder]: 1.474e-05 [get_jit_bprop_graph]: 2.36e-06 [rewriter_after_jit_bprop_graph]: 6.74001e-06 [opt_after_jit_grad]: 0.00048514 [symbol_engine_optimizer]: 7.419e-05, [1] [Cycle 1]: 6.745e-05, [6] [build]: 4.42998e-06 [elim_shapecalc]: 7.35e-06 [elim_not_effective]: 1.175e-05 [opt_reshape]: 5.89e-06 [fold_const_symbol]: 6.73e-06 [renormalize]: 6.39993e-07 [validate]: 3.727e-05 Sums bootstrap : 0.000342s : 0.03% type_inference : 1.042918s : 87.79% event_method : 0.000714s : 0.06% auto_monad : 0.000430s : 0.04% graph_reusing : 0.000012s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000121s : 0.01% rewriter_before_opt_a : 0.000183s : 0.02% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000266s : 0.02% jit_opt_a.loop_unroll : 0.000070s : 0.01% jit_opt_a.a_1 : 0.001525s : 0.13% jit_opt_a.with_stream_mark : 0.000054s : 0.00% jit_opt_a.recompute_prepare : 0.000033s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000014s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.00% jit_opt_a.parameter_eliminate : 0.000006s : 0.00% jit_opt_a.specialize_transform : 0.000021s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000018s : 0.00% jit_opt_a.accelerated_algorithm : 0.000019s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000007s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000019s : 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 : 0.000051s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000035s : 0.00% jit_opt_a.meta_fg_expand : 0.002364s : 0.20% jit_opt_a.replace_old_param : 0.000086s : 0.01% jit_opt_a.inline_without_move : 0.000071s : 0.01% jit_opt_a.renormalize : 0.135978s : 11.45% 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 : 0.000043s : 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 : 0.000363s : 0.03% convert_after_rewriter : 0.000012s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000750s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000013s : 0.00% jit_opt_b.inline_after_opt_a : 0.000029s : 0.00% cconv : 0.000033s : 0.00% loop_unroll : 0.000478s : 0.04% jit_opt_after_cconv.c_1 : 0.000015s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000007s : 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 : 0.000025s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000018s : 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 : 0.000004s : 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 : 0.000043s : 0.00% cse_after_recomputation.cse : 0.000010s : 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 : 0.000485s : 0.04% symbol_engine_optimizer.build : 0.000004s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000007s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000012s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000006s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000007s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000037s : 0.00% Time group info: ------[substitution.] 0.000513 65 0.34% : 0.000002s : 1: substitution.elim_not_effective 0.21% : 0.000001s : 1: substitution.fold_const_symbol 1.02% : 0.000005s : 1: substitution.graph_param_transform 75.12% : 0.000385s : 13: substitution.inline 4.76% : 0.000024s : 2: substitution.inline_without_move 1.57% : 0.000008s : 9: substitution.j_node_and_user_rematch 0.78% : 0.000004s : 2: substitution.minmaximum_grad 1.58% : 0.000008s : 9: substitution.partial_eliminate 1.65% : 0.000008s : 9: substitution.remove_not_recompute_node 0.64% : 0.000003s : 1: substitution.replace_applicator 1.25% : 0.000006s : 6: substitution.replace_old_param 0.84% : 0.000004s : 1: substitution.set_cell_output_no_recompute 3.73% : 0.000019s : 3: substitution.switch_simplify 1.97% : 0.000010s : 2: substitution.tuple_list_convert_item_index_to_positive 1.26% : 0.000006s : 2: substitution.tuple_list_get_item_depend_reorder 3.30% : 0.000017s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.042748 2 99.48% : 1.037350s : 1: type_inference.infer 0.52% : 0.005398s : 1: type_inference.specialize ------[replace.] 0.000218 17 56.27% : 0.000122s : 13: replace.inline 39.48% : 0.000086s : 3: replace.switch_simplify 4.25% : 0.000009s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000399 17 94.70% : 0.000378s : 13: match.inline 4.36% : 0.000017s : 3: match.switch_simplify 0.94% : 0.000004s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000251 1539 1.34% : 0.000003s : 26: predicate.accumulaten_eliminater 0.40% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.26% : 0.000003s : 26: predicate.addn_check_dump 1.50% : 0.000004s : 26: predicate.addn_zero_filter 1.95% : 0.000005s : 26: predicate.arithmetic_simplify 1.44% : 0.000004s : 26: predicate.cast_eliminate 0.11% : 0.000000s : 1: predicate.check_bprop_eliminate 1.27% : 0.000003s : 26: predicate.compare_switch_simplify 1.33% : 0.000003s : 26: predicate.depend_value_elim 1.32% : 0.000003s : 26: predicate.dict_get_item_const_eliminator 1.48% : 0.000004s : 26: predicate.dict_get_item_eliminator 1.31% : 0.000003s : 26: predicate.dict_set_item_eliminator 0.46% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.10% : 0.000000s : 1: predicate.elim_not_effective 0.18% : 0.000000s : 1: predicate.elim_shapecalc_of_broadcastargs 1.44% : 0.000004s : 26: predicate.environ_add_const_eliminate 1.25% : 0.000003s : 26: predicate.environ_get_add_eliminate 1.30% : 0.000003s : 26: predicate.environ_get_depend_swap 1.33% : 0.000003s : 26: predicate.environ_get_eliminate 1.42% : 0.000004s : 26: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 1: predicate.fold_const_symbol 0.96% : 0.000002s : 13: predicate.get_grad_eliminate 0.16% : 0.000000s : 1: predicate.graph_param_transform 4.72% : 0.000012s : 42: predicate.inline 2.71% : 0.000007s : 35: predicate.inline_without_move 0.38% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.20% : 0.000003s : 13: predicate.less_batch_normalization 1.48% : 0.000004s : 27: predicate.list_to_tuple_eliminator_ 1.47% : 0.000004s : 28: predicate.load_eliminater 0.55% : 0.000001s : 1: predicate.loop_unroll_after_grad 4.44% : 0.000011s : 67: predicate.loop_unroll_before_grad 1.77% : 0.000004s : 27: predicate.make_slice_get_slice_eliminator 1.23% : 0.000003s : 26: predicate.merge_addn 1.51% : 0.000004s : 26: predicate.minmaximum_grad 0.88% : 0.000002s : 1: predicate.mutable_eliminate 0.16% : 0.000000s : 1: predicate.opt_reshape 2.05% : 0.000005s : 28: predicate.partial_eliminate 1.32% : 0.000003s : 26: predicate.print_const_string_wrapper 1.81% : 0.000005s : 26: predicate.reduce_eliminate 1.69% : 0.000004s : 27: predicate.redundant_stop_gradient_eliminater 0.60% : 0.000002s : 13: predicate.remove_not_recompute_node 1.45% : 0.000004s : 29: predicate.replace_applicator 1.38% : 0.000003s : 35: predicate.replace_old_param 0.18% : 0.000000s : 1: predicate.reset_defer_inline 1.51% : 0.000004s : 26: predicate.reshape_eliminate 1.43% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.25% : 0.000001s : 1: predicate.row_tensor_eliminate 1.34% : 0.000003s : 26: predicate.same_eliminate 0.54% : 0.000001s : 13: predicate.set_cell_output_no_recompute 0.36% : 0.000001s : 2: predicate.special_op_eliminate 1.08% : 0.000003s : 13: predicate.specialize_transform 1.67% : 0.000004s : 26: predicate.split_environ_get_set_with_tuple_value 1.50% : 0.000004s : 26: predicate.stack_unstack_eliminate 0.09% : 0.000000s : 1: predicate.switch_call_monad_eliminater 3.73% : 0.000009s : 40: predicate.switch_defer_inline 2.40% : 0.000006s : 40: predicate.switch_layer_defer_inline 8.66% : 0.000022s : 114: predicate.switch_simplify 1.67% : 0.000004s : 26: predicate.tile_eliminate 1.42% : 0.000004s : 26: predicate.transpose_eliminate 1.62% : 0.000004s : 26: predicate.tuple_list_convert_item_index_to_positive 1.54% : 0.000004s : 26: predicate.tuple_list_get_item_depend_reorder 3.30% : 0.000008s : 29: predicate.tuple_list_get_item_eliminator 1.85% : 0.000005s : 26: predicate.tuple_list_set_item_eliminator 1.60% : 0.000004s : 27: predicate.tuple_to_list_eliminator_ 1.47% : 0.000004s : 28: predicate.updatestate_pure_node_eliminater 2.53% : 0.000006s : 41: predicate.updatestate_useless_node_eliminater 1.66% : 0.000004s : 26: predicate.value_based_eliminate 0.23% : 0.000001s : 1: predicate.virtual_view_grad_eliminate 0.25% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.004394 37 80.69% : 0.003545s : 21: func_graph_cloner_run.FuncGraphClonerGraph 19.31% : 0.000849s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.331103 72 0.00% : 0.000046s : 1: add_recomputation 0.03% : 0.000446s : 1: auto_monad 0.00% : 0.000017s : 1: auto_monad_reorder 0.03% : 0.000369s : 1: bootstrap 0.00% : 0.000036s : 1: cconv 0.00% : 0.000015s : 1: convert_after_rewriter 0.00% : 0.000026s : 1: cse_after_recomputation 0.00% : 0.000009s : 1: environ_conv 0.06% : 0.000733s : 1: event_method 0.00% : 0.000008s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000016s : 1: graph_reusing 10.92% : 0.145342s : 1: jit_opt_a 0.01% : 0.000152s : 1: jit_opt_after_cconv 0.01% : 0.000067s : 1: jit_opt_b 0.04% : 0.000487s : 1: loop_unroll 0.06% : 0.000760s : 1: mutable_eliminate 0.17% : 0.002199s : 26: opt.transform.jit_opt_a 0.00% : 0.000038s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000034s : 4: opt.transform.jit_opt_b 0.00% : 0.000012s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000015s : 1: opt.transform.mutable_eliminate 0.00% : 0.000017s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000028s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000495s : 1: opt_after_jit_grad 0.00% : 0.000007s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000007s : 1: pre_auto_parallel 0.01% : 0.000127s : 1: py_interpret_to_execute 0.00% : 0.000016s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 10.16% : 0.135188s : 1: renormalize.infer 0.06% : 0.000774s : 1: renormalize.specialize 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000370s : 1: rewriter_after_opt_a 0.01% : 0.000187s : 1: rewriter_before_opt_a 0.01% : 0.000077s : 1: symbol_engine_optimizer 78.35% : 1.042947s : 1: type_inference . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape4-1-KBK] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape4-1-KBK],max_mem:4.0M . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape5-1-pynative] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape5-1-pynative],max_mem:4.0M TotalTime = 1.28592, [30] [bootstrap]: 0.00094127 [type_inference]: 1.03506 [event_method]: 2.311e-05 [auto_monad]: 7.951e-05 [graph_reusing]: 6.43998e-06 [pre_auto_parallel]: 2.48e-06 [py_interpret_to_execute]: 0.00079313 [rewriter_before_opt_a]: 9.187e-05 [expand_dump_flag]: 4.99e-06 [jit_opt_a]: 0.245061, [2] [Cycle 1]: 0.00530116, [27] [switch_simplify]: 7.218e-05 [loop_unroll]: 2.683e-05 [a_1]: 0.00064958 [with_stream_mark]: 3.309e-05 [recompute_prepare]: 1.411e-05 [updatestate_depend_eliminate]: 5.29e-06 [updatestate_assign_eliminate]: 4.08999e-06 [updatestate_loads_eliminate]: 3.26999e-06 [parameter_eliminate]: 2.44001e-06 [specialize_transform]: 8.42e-06 [updatestate_useless_node_eliminater]: 6.81999e-06 [accelerated_algorithm]: 7.25e-06 [meta_shard_fg_expand]: 3.07002e-06 [get_grad_eliminate_]: 7.13e-06 [merge_forward]: 4e-06 [cell_reuse_recompute_pass]: 1.97999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.012e-05 [j_node_and_user_rematch]: 1.274e-05 [meta_fg_expand]: 2.85002e-06 [replace_old_param]: 1.358e-05 [inline_without_move]: 6.98e-06 [renormalize]: 0.00400539 [add_forward_monad_depend]: 2.094e-05 [auto_monad_grad]: 3.06999e-06 [auto_monad_eliminator]: 2.617e-05 [cse]: 3.833e-05 [replace_applicator]: 3.032e-05 [Cycle 2]: 0.00054059, [27] [switch_simplify]: 8.62e-06 [loop_unroll]: 6.74999e-06 [a_1]: 0.00014214 [with_stream_mark]: 2.09e-05 [recompute_prepare]: 7.77998e-06 [updatestate_depend_eliminate]: 4.74e-06 [updatestate_assign_eliminate]: 3.39001e-06 [updatestate_loads_eliminate]: 2.81999e-06 [parameter_eliminate]: 2.49999e-06 [specialize_transform]: 6.54999e-06 [updatestate_useless_node_eliminater]: 6.19001e-06 [accelerated_algorithm]: 6.79001e-06 [meta_shard_fg_expand]: 2.49999e-06 [get_grad_eliminate_]: 6.84999e-06 [merge_forward]: 4.77e-06 [cell_reuse_recompute_pass]: 3.95998e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.283e-05 [j_node_and_user_rematch]: 1.109e-05 [meta_fg_expand]: 2.58998e-06 [replace_old_param]: 1.198e-05 [inline_without_move]: 6.49001e-06 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 2.37999e-06 [auto_monad_grad]: 1.35999e-06 [auto_monad_eliminator]: 1.083e-05 [cse]: 7.047e-05 [replace_applicator]: 1.294e-05 [py_interpret_to_execute_after_opt_a]: 2.199e-05 [rewriter_after_opt_a]: 5.063e-05 [convert_after_rewriter]: 9.79e-06 [order_py_execute_after_rewriter]: 5.30999e-06 [mutable_eliminate]: 0.00090139 [jit_opt_b]: 7.752e-05, [1] [Cycle 1]: 6.609e-05, [2] [frontend_op_eliminate]: 2.586e-05 [inline_after_opt_a]: 2.3e-05 [cconv]: 4.431e-05 [loop_unroll]: 0.00056872 [jit_opt_after_cconv]: 0.00020807, [1] [Cycle 1]: 0.00019939, [11] [c_1]: 3.038e-05 [parameter_eliminate]: 6.49001e-06 [updatestate_depend_eliminate]: 1.157e-05 [updatestate_assign_eliminate]: 3.08e-06 [updatestate_loads_eliminate]: 4.27e-06 [cse]: 3.919e-05 [call_graph_tuple_transform]: 2.927e-05 [tuple_list_get_item_eliminator]: 7.61001e-06 [none_parameter_eliminate]: 1.80001e-06 [renormalize]: 4.99975e-07 [switch_simplify]: 7.24001e-06 [remove_dup_value]: 1.838e-05 [partial_unused_args_eliminate]: 2.29001e-06 [environ_conv]: 1.165e-05 [add_recomputation]: 0.00010573 [cse_after_recomputation]: 3.806e-05, [1] [Cycle 1]: 2.943e-05, [1] [cse]: 1.866e-05 [auto_monad_reorder]: 1.725e-05 [get_jit_bprop_graph]: 2.05002e-06 [rewriter_after_jit_bprop_graph]: 0.00031482 [opt_after_jit_grad]: 0.00088131 [symbol_engine_optimizer]: 0.00010386, [1] [Cycle 1]: 9.32e-05, [6] [build]: 6.16e-06 [elim_shapecalc]: 1.045e-05 [elim_not_effective]: 2.014e-05 [opt_reshape]: 9.15001e-06 [fold_const_symbol]: 1.26e-05 [renormalize]: 6.59988e-07 [validate]: 6.456e-05 Sums bootstrap : 0.000941s : 0.09% type_inference : 1.035059s : 98.98% event_method : 0.000023s : 0.00% auto_monad : 0.000080s : 0.01% graph_reusing : 0.000006s : 0.00% pre_auto_parallel : 0.000002s : 0.00% py_interpret_to_execute : 0.000793s : 0.08% rewriter_before_opt_a : 0.000092s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000081s : 0.01% jit_opt_a.loop_unroll : 0.000034s : 0.00% jit_opt_a.a_1 : 0.000792s : 0.08% jit_opt_a.with_stream_mark : 0.000054s : 0.01% jit_opt_a.recompute_prepare : 0.000022s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000007s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000006s : 0.00% jit_opt_a.parameter_eliminate : 0.000005s : 0.00% jit_opt_a.specialize_transform : 0.000015s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000013s : 0.00% jit_opt_a.accelerated_algorithm : 0.000014s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000006s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000014s : 0.00% jit_opt_a.merge_forward : 0.000009s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000043s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000024s : 0.00% jit_opt_a.meta_fg_expand : 0.000005s : 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 : 0.004005s : 0.38% jit_opt_a.add_forward_monad_depend : 0.000023s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000037s : 0.00% jit_opt_a.cse : 0.000109s : 0.01% jit_opt_a.replace_applicator : 0.000043s : 0.00% py_interpret_to_execute_after_opt_a : 0.000022s : 0.00% rewriter_after_opt_a : 0.000051s : 0.00% convert_after_rewriter : 0.000010s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000901s : 0.09% jit_opt_b.frontend_op_eliminate : 0.000026s : 0.00% jit_opt_b.inline_after_opt_a : 0.000023s : 0.00% cconv : 0.000044s : 0.00% loop_unroll : 0.000569s : 0.05% jit_opt_after_cconv.c_1 : 0.000030s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 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 : 0.000039s : 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 : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000012s : 0.00% add_recomputation : 0.000106s : 0.01% cse_after_recomputation.cse : 0.000019s : 0.00% auto_monad_reorder : 0.000017s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000315s : 0.03% opt_after_jit_grad : 0.000881s : 0.08% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000010s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000020s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000013s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000065s : 0.01% Time group info: ------[substitution.] 0.000267 23 0.99% : 0.000003s : 2: substitution.elim_not_effective 0.75% : 0.000002s : 2: substitution.fold_const_symbol 2.44% : 0.000007s : 4: substitution.graph_param_transform 84.21% : 0.000225s : 4: substitution.inline 1.89% : 0.000005s : 4: substitution.j_node_and_user_rematch 2.45% : 0.000007s : 4: substitution.remove_not_recompute_node 3.30% : 0.000009s : 2: substitution.replace_old_param 3.98% : 0.000011s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.034933 2 99.69% : 1.031759s : 1: type_inference.infer 0.31% : 0.003174s : 1: type_inference.specialize ------[replace.] 0.000064 5 82.21% : 0.000052s : 4: replace.inline 17.79% : 0.000011s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000232 5 95.83% : 0.000222s : 4: match.inline 4.17% : 0.000010s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000153 801 1.47% : 0.000002s : 12: predicate.accumulaten_eliminater 1.26% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.98% : 0.000001s : 12: predicate.addn_check_dump 1.23% : 0.000002s : 12: predicate.addn_zero_filter 2.14% : 0.000003s : 12: predicate.arithmetic_simplify 1.29% : 0.000002s : 12: predicate.cast_eliminate 0.41% : 0.000001s : 4: predicate.check_bprop_eliminate 1.01% : 0.000002s : 12: predicate.compare_switch_simplify 1.22% : 0.000002s : 12: predicate.depend_value_elim 1.02% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.39% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.09% : 0.000002s : 12: predicate.dict_set_item_eliminator 1.20% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.48% : 0.000001s : 4: predicate.elim_not_effective 0.82% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.22% : 0.000002s : 12: predicate.environ_add_const_eliminate 1.04% : 0.000002s : 12: predicate.environ_get_add_eliminate 1.12% : 0.000002s : 12: predicate.environ_get_depend_swap 1.17% : 0.000002s : 12: predicate.environ_get_eliminate 1.05% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.24% : 0.000000s : 4: predicate.fold_const_symbol 1.35% : 0.000002s : 8: predicate.get_grad_eliminate 0.27% : 0.000000s : 4: predicate.graph_param_transform 6.39% : 0.000010s : 25: predicate.inline 0.86% : 0.000001s : 8: predicate.inline_without_move 0.41% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.30% : 0.000002s : 8: predicate.less_batch_normalization 1.26% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.58% : 0.000002s : 17: predicate.load_eliminater 1.58% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.81% : 0.000004s : 28: predicate.loop_unroll_before_grad 2.14% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 0.94% : 0.000001s : 12: predicate.merge_addn 1.12% : 0.000002s : 12: predicate.minmaximum_grad 2.39% : 0.000004s : 4: predicate.mutable_eliminate 0.58% : 0.000001s : 4: predicate.opt_reshape 1.97% : 0.000003s : 17: predicate.partial_eliminate 1.14% : 0.000002s : 12: predicate.print_const_string_wrapper 1.69% : 0.000003s : 12: predicate.reduce_eliminate 1.31% : 0.000002s : 13: predicate.redundant_stop_gradient_eliminater 0.69% : 0.000001s : 8: predicate.remove_not_recompute_node 2.11% : 0.000003s : 21: predicate.replace_applicator 0.71% : 0.000001s : 8: predicate.replace_old_param 0.33% : 0.000001s : 4: predicate.reset_defer_inline 1.49% : 0.000002s : 12: predicate.reshape_eliminate 1.27% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 1.26% : 0.000002s : 4: predicate.row_tensor_eliminate 1.44% : 0.000002s : 12: predicate.same_eliminate 0.67% : 0.000001s : 8: predicate.set_cell_output_no_recompute 0.92% : 0.000001s : 8: predicate.special_op_eliminate 0.79% : 0.000001s : 8: predicate.specialize_transform 1.45% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 1.24% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.41% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.18% : 0.000003s : 17: predicate.switch_defer_inline 1.75% : 0.000003s : 17: predicate.switch_layer_defer_inline 6.88% : 0.000011s : 49: predicate.switch_simplify 1.14% : 0.000002s : 12: predicate.tile_eliminate 1.35% : 0.000002s : 12: predicate.transpose_eliminate 1.41% : 0.000002s : 12: predicate.tuple_list_convert_item_index_to_positive 1.23% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 4.56% : 0.000007s : 21: predicate.tuple_list_get_item_eliminator 1.76% : 0.000003s : 12: predicate.tuple_list_set_item_eliminator 1.30% : 0.000002s : 13: predicate.tuple_to_list_eliminator_ 1.49% : 0.000002s : 17: predicate.updatestate_pure_node_eliminater 3.24% : 0.000005s : 25: predicate.updatestate_useless_node_eliminater 1.60% : 0.000002s : 12: predicate.value_based_eliminate 0.36% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 1.03% : 0.000002s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.002932 18 64.34% : 0.001886s : 12: func_graph_cloner_run.FuncGraphClonerGraph 35.66% : 0.001045s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.290979 72 0.01% : 0.000113s : 1: add_recomputation 0.01% : 0.000084s : 1: auto_monad 0.00% : 0.000021s : 1: auto_monad_reorder 0.08% : 0.000978s : 1: bootstrap 0.00% : 0.000047s : 1: cconv 0.00% : 0.000012s : 1: convert_after_rewriter 0.00% : 0.000041s : 1: cse_after_recomputation 0.00% : 0.000014s : 1: environ_conv 0.00% : 0.000030s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000004s : 1: get_jit_bprop_graph 0.00% : 0.000009s : 1: graph_reusing 18.98% : 0.245066s : 1: jit_opt_a 0.02% : 0.000212s : 1: jit_opt_after_cconv 0.01% : 0.000082s : 1: jit_opt_b 0.05% : 0.000582s : 1: loop_unroll 0.07% : 0.000921s : 1: mutable_eliminate 0.08% : 0.001090s : 26: opt.transform.jit_opt_a 0.01% : 0.000069s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000039s : 4: opt.transform.jit_opt_b 0.00% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000026s : 1: opt.transform.mutable_eliminate 0.00% : 0.000040s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000048s : 4: opt.transform.symbol_engine_opt 0.07% : 0.000900s : 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% : 0.000809s : 1: py_interpret_to_execute 0.00% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000021s : 1: remove_dup_value 0.19% : 0.002434s : 1: renormalize.infer 0.12% : 0.001554s : 1: renormalize.specialize 0.02% : 0.000322s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000055s : 1: rewriter_after_opt_a 0.01% : 0.000097s : 1: rewriter_before_opt_a 0.01% : 0.000107s : 1: symbol_engine_optimizer 80.18% : 1.035086s : 1: type_inference TotalTime = 1.80818, [30] [bootstrap]: 0.00035305 [type_inference]: 1.49695 [event_method]: 0.140165 [auto_monad]: 0.00021719 [graph_reusing]: 1.175e-05 [pre_auto_parallel]: 5.07999e-06 [py_interpret_to_execute]: 7.407e-05 [rewriter_before_opt_a]: 0.00018517 [expand_dump_flag]: 5.05999e-06 [jit_opt_a]: 0.0164028, [2] [Cycle 1]: 0.0115076, [27] [switch_simplify]: 0.00027158 [loop_unroll]: 6.079e-05 [a_1]: 0.00169783 [with_stream_mark]: 4.216e-05 [recompute_prepare]: 2.716e-05 [updatestate_depend_eliminate]: 1.02e-05 [updatestate_assign_eliminate]: 7.01999e-06 [updatestate_loads_eliminate]: 6.82002e-06 [parameter_eliminate]: 3.63e-06 [specialize_transform]: 1.631e-05 [updatestate_useless_node_eliminater]: 1.455e-05 [accelerated_algorithm]: 1.524e-05 [meta_shard_fg_expand]: 5.37001e-06 [get_grad_eliminate_]: 1.454e-05 [merge_forward]: 9.36e-06 [cell_reuse_recompute_pass]: 1.29998e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.285e-05 [j_node_and_user_rematch]: 2.757e-05 [meta_fg_expand]: 0.0024204 [replace_old_param]: 8.016e-05 [inline_without_move]: 6.992e-05 [renormalize]: 0.00630161 [add_forward_monad_depend]: 8.54e-06 [auto_monad_grad]: 3.11001e-06 [auto_monad_eliminator]: 1.728e-05 [cse]: 2.994e-05 [replace_applicator]: 2.392e-05 [Cycle 2]: 0.00048252, [27] [switch_simplify]: 6.09001e-06 [loop_unroll]: 5.09e-06 [a_1]: 5.836e-05 [with_stream_mark]: 1.599e-05 [recompute_prepare]: 4.69002e-06 [updatestate_depend_eliminate]: 3.58999e-06 [updatestate_assign_eliminate]: 3.06001e-06 [updatestate_loads_eliminate]: 2.43e-06 [parameter_eliminate]: 2.09e-06 [specialize_transform]: 4.34997e-06 [updatestate_useless_node_eliminater]: 4.28999e-06 [accelerated_algorithm]: 4.84e-06 [meta_shard_fg_expand]: 2.22001e-06 [get_grad_eliminate_]: 3.65e-06 [merge_forward]: 3.64002e-06 [cell_reuse_recompute_pass]: 4.25999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.016e-05 [j_node_and_user_rematch]: 6.83e-06 [meta_fg_expand]: 0.00015355 [replace_old_param]: 6.53e-06 [inline_without_move]: 4.39002e-06 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 2.21003e-06 [auto_monad_grad]: 2.14999e-06 [auto_monad_eliminator]: 6.24001e-06 [cse]: 1.602e-05 [replace_applicator]: 4.05e-06 [py_interpret_to_execute_after_opt_a]: 1.316e-05 [rewriter_after_opt_a]: 0.150841 [convert_after_rewriter]: 3.017e-05 [order_py_execute_after_rewriter]: 6.12999e-06 [mutable_eliminate]: 0.00086266 [jit_opt_b]: 6.408e-05, [1] [Cycle 1]: 5.163e-05, [2] [frontend_op_eliminate]: 1.615e-05 [inline_after_opt_a]: 2.121e-05 [cconv]: 4.521e-05 [loop_unroll]: 0.00052218 [jit_opt_after_cconv]: 0.00018648, [1] [Cycle 1]: 0.00017841, [11] [c_1]: 1.774e-05 [parameter_eliminate]: 6.61e-06 [updatestate_depend_eliminate]: 1.035e-05 [updatestate_assign_eliminate]: 3.09999e-06 [updatestate_loads_eliminate]: 2.34999e-06 [cse]: 4.336e-05 [call_graph_tuple_transform]: 2.343e-05 [tuple_list_get_item_eliminator]: 4.85001e-06 [none_parameter_eliminate]: 2.39001e-06 [renormalize]: 8.09989e-07 [switch_simplify]: 4.90999e-06 [remove_dup_value]: 1.938e-05 [partial_unused_args_eliminate]: 3.04001e-06 [environ_conv]: 7.53999e-06 [add_recomputation]: 5.079e-05 [cse_after_recomputation]: 8.258e-05, [1] [Cycle 1]: 7.534e-05, [1] [cse]: 6.511e-05 [auto_monad_reorder]: 1.561e-05 [get_jit_bprop_graph]: 2.62001e-06 [rewriter_after_jit_bprop_graph]: 8.52e-06 [opt_after_jit_grad]: 0.00059234 [symbol_engine_optimizer]: 8.649e-05, [1] [Cycle 1]: 7.652e-05, [6] [build]: 5.85002e-06 [elim_shapecalc]: 7.87e-06 [elim_not_effective]: 1.545e-05 [opt_reshape]: 5.47999e-06 [fold_const_symbol]: 7.68999e-06 [renormalize]: 3.30008e-07 [validate]: 4.398e-05 Sums bootstrap : 0.000353s : 0.02% type_inference : 1.496948s : 83.03% event_method : 0.140165s : 7.77% auto_monad : 0.000217s : 0.01% graph_reusing : 0.000012s : 0.00% pre_auto_parallel : 0.000005s : 0.00% py_interpret_to_execute : 0.000074s : 0.00% rewriter_before_opt_a : 0.000185s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000278s : 0.02% jit_opt_a.loop_unroll : 0.000066s : 0.00% jit_opt_a.a_1 : 0.001756s : 0.10% jit_opt_a.with_stream_mark : 0.000058s : 0.00% jit_opt_a.recompute_prepare : 0.000032s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000014s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.00% jit_opt_a.parameter_eliminate : 0.000006s : 0.00% jit_opt_a.specialize_transform : 0.000021s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000019s : 0.00% jit_opt_a.accelerated_algorithm : 0.000020s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000008s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000018s : 0.00% jit_opt_a.merge_forward : 0.000013s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000053s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000034s : 0.00% jit_opt_a.meta_fg_expand : 0.002574s : 0.14% jit_opt_a.replace_old_param : 0.000087s : 0.00% jit_opt_a.inline_without_move : 0.000074s : 0.00% jit_opt_a.renormalize : 0.006302s : 0.35% jit_opt_a.add_forward_monad_depend : 0.000011s : 0.00% jit_opt_a.auto_monad_grad : 0.000005s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000024s : 0.00% jit_opt_a.cse : 0.000046s : 0.00% jit_opt_a.replace_applicator : 0.000028s : 0.00% py_interpret_to_execute_after_opt_a : 0.000013s : 0.00% rewriter_after_opt_a : 0.150841s : 8.37% convert_after_rewriter : 0.000030s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000863s : 0.05% jit_opt_b.frontend_op_eliminate : 0.000016s : 0.00% jit_opt_b.inline_after_opt_a : 0.000021s : 0.00% cconv : 0.000045s : 0.00% loop_unroll : 0.000522s : 0.03% jit_opt_after_cconv.c_1 : 0.000018s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000007s : 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 : 0.000002s : 0.00% jit_opt_after_cconv.cse : 0.000043s : 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 : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000005s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000008s : 0.00% add_recomputation : 0.000051s : 0.00% cse_after_recomputation.cse : 0.000065s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.000592s : 0.03% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000008s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000015s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000005s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000008s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000044s : 0.00% Time group info: ------[substitution.] 0.000576 65 0.37% : 0.000002s : 1: substitution.elim_not_effective 0.20% : 0.000001s : 1: substitution.fold_const_symbol 0.89% : 0.000005s : 1: substitution.graph_param_transform 76.93% : 0.000443s : 13: substitution.inline 4.51% : 0.000026s : 2: substitution.inline_without_move 1.52% : 0.000009s : 9: substitution.j_node_and_user_rematch 0.76% : 0.000004s : 2: substitution.minmaximum_grad 1.78% : 0.000010s : 9: substitution.partial_eliminate 1.54% : 0.000009s : 9: substitution.remove_not_recompute_node 0.55% : 0.000003s : 1: substitution.replace_applicator 1.12% : 0.000006s : 6: substitution.replace_old_param 0.64% : 0.000004s : 1: substitution.set_cell_output_no_recompute 2.96% : 0.000017s : 3: substitution.switch_simplify 1.86% : 0.000011s : 2: substitution.tuple_list_convert_item_index_to_positive 1.13% : 0.000007s : 2: substitution.tuple_list_get_item_depend_reorder 3.26% : 0.000019s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.496797 2 98.82% : 1.479075s : 1: type_inference.infer 1.18% : 0.017722s : 1: type_inference.specialize ------[replace.] 0.000235 17 59.48% : 0.000140s : 13: replace.inline 36.44% : 0.000086s : 3: replace.switch_simplify 4.08% : 0.000010s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000453 17 95.83% : 0.000434s : 13: match.inline 3.37% : 0.000015s : 3: match.switch_simplify 0.81% : 0.000004s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000289 1539 1.25% : 0.000004s : 26: predicate.accumulaten_eliminater 0.61% : 0.000002s : 1: predicate.ad_related_special_op_eliminate 1.14% : 0.000003s : 26: predicate.addn_check_dump 1.29% : 0.000004s : 26: predicate.addn_zero_filter 1.69% : 0.000005s : 26: predicate.arithmetic_simplify 1.36% : 0.000004s : 26: predicate.cast_eliminate 0.15% : 0.000000s : 1: predicate.check_bprop_eliminate 1.12% : 0.000003s : 26: predicate.compare_switch_simplify 1.40% : 0.000004s : 26: predicate.depend_value_elim 1.22% : 0.000004s : 26: predicate.dict_get_item_const_eliminator 1.27% : 0.000004s : 26: predicate.dict_get_item_eliminator 1.32% : 0.000004s : 26: predicate.dict_set_item_eliminator 0.50% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.15% : 0.000000s : 1: predicate.elim_not_effective 0.29% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 1.39% : 0.000004s : 26: predicate.environ_add_const_eliminate 1.14% : 0.000003s : 26: predicate.environ_get_add_eliminate 1.14% : 0.000003s : 26: predicate.environ_get_depend_swap 1.39% : 0.000004s : 26: predicate.environ_get_eliminate 1.15% : 0.000003s : 26: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 1: predicate.fold_const_symbol 0.80% : 0.000002s : 13: predicate.get_grad_eliminate 0.07% : 0.000000s : 1: predicate.graph_param_transform 4.65% : 0.000013s : 42: predicate.inline 2.31% : 0.000007s : 35: predicate.inline_without_move 0.35% : 0.000001s : 13: predicate.j_node_and_user_rematch 0.97% : 0.000003s : 13: predicate.less_batch_normalization 1.32% : 0.000004s : 27: predicate.list_to_tuple_eliminator_ 1.44% : 0.000004s : 28: predicate.load_eliminater 0.69% : 0.000002s : 1: predicate.loop_unroll_after_grad 3.44% : 0.000010s : 67: predicate.loop_unroll_before_grad 1.72% : 0.000005s : 27: predicate.make_slice_get_slice_eliminator 1.21% : 0.000003s : 26: predicate.merge_addn 1.15% : 0.000003s : 26: predicate.minmaximum_grad 0.97% : 0.000003s : 1: predicate.mutable_eliminate 0.13% : 0.000000s : 1: predicate.opt_reshape 1.85% : 0.000005s : 28: predicate.partial_eliminate 1.17% : 0.000003s : 26: predicate.print_const_string_wrapper 1.74% : 0.000005s : 26: predicate.reduce_eliminate 1.33% : 0.000004s : 27: predicate.redundant_stop_gradient_eliminater 0.49% : 0.000001s : 13: predicate.remove_not_recompute_node 1.45% : 0.000004s : 29: predicate.replace_applicator 1.30% : 0.000004s : 35: predicate.replace_old_param 0.32% : 0.000001s : 1: predicate.reset_defer_inline 1.58% : 0.000005s : 26: predicate.reshape_eliminate 1.28% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.43% : 0.000001s : 1: predicate.row_tensor_eliminate 10.82% : 0.000031s : 26: predicate.same_eliminate 0.47% : 0.000001s : 13: predicate.set_cell_output_no_recompute 0.38% : 0.000001s : 2: predicate.special_op_eliminate 0.84% : 0.000002s : 13: predicate.specialize_transform 1.31% : 0.000004s : 26: predicate.split_environ_get_set_with_tuple_value 1.27% : 0.000004s : 26: predicate.stack_unstack_eliminate 0.15% : 0.000000s : 1: predicate.switch_call_monad_eliminater 2.99% : 0.000009s : 40: predicate.switch_defer_inline 2.41% : 0.000007s : 40: predicate.switch_layer_defer_inline 7.21% : 0.000021s : 114: predicate.switch_simplify 1.25% : 0.000004s : 26: predicate.tile_eliminate 1.19% : 0.000003s : 26: predicate.transpose_eliminate 1.56% : 0.000005s : 26: predicate.tuple_list_convert_item_index_to_positive 1.46% : 0.000004s : 26: predicate.tuple_list_get_item_depend_reorder 3.13% : 0.000009s : 29: predicate.tuple_list_get_item_eliminator 1.68% : 0.000005s : 26: predicate.tuple_list_set_item_eliminator 1.39% : 0.000004s : 27: predicate.tuple_to_list_eliminator_ 1.20% : 0.000003s : 28: predicate.updatestate_pure_node_eliminater 2.24% : 0.000006s : 41: predicate.updatestate_useless_node_eliminater 1.57% : 0.000005s : 26: predicate.value_based_eliminate 0.10% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.23% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.004018 37 84.17% : 0.003382s : 21: func_graph_cloner_run.FuncGraphClonerGraph 15.83% : 0.000636s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.816947 72 0.00% : 0.000055s : 1: add_recomputation 0.01% : 0.000229s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.02% : 0.000383s : 1: bootstrap 0.00% : 0.000048s : 1: cconv 0.00% : 0.000036s : 1: convert_after_rewriter 0.00% : 0.000085s : 1: cse_after_recomputation 0.00% : 0.000010s : 1: environ_conv 7.72% : 0.140204s : 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 0.90% : 0.016407s : 1: jit_opt_a 0.01% : 0.000190s : 1: jit_opt_after_cconv 0.00% : 0.000067s : 1: jit_opt_b 0.03% : 0.000534s : 1: loop_unroll 0.05% : 0.000878s : 1: mutable_eliminate 0.13% : 0.002440s : 26: opt.transform.jit_opt_a 0.00% : 0.000047s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000026s : 4: opt.transform.jit_opt_b 0.00% : 0.000015s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000025s : 1: opt.transform.mutable_eliminate 0.00% : 0.000027s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000032s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000606s : 1: opt_after_jit_grad 0.00% : 0.000009s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000007s : 1: pre_auto_parallel 0.00% : 0.000078s : 1: py_interpret_to_execute 0.00% : 0.000016s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000023s : 1: remove_dup_value 0.31% : 0.005591s : 1: renormalize.infer 0.04% : 0.000698s : 1: renormalize.specialize 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 8.30% : 0.150860s : 1: rewriter_after_opt_a 0.01% : 0.000190s : 1: rewriter_before_opt_a 0.00% : 0.000090s : 1: symbol_engine_optimizer 82.39% : 1.496981s : 1: type_inference . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape5-1-KBK] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape5-1-KBK],max_mem:4.0M . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape6-3-pynative] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape6-3-pynative],max_mem:4.0M TotalTime = 1.06308, [30] [bootstrap]: 0.00078227 [type_inference]: 0.952462 [event_method]: 2.395e-05 [auto_monad]: 7.934e-05 [graph_reusing]: 7.08e-06 [pre_auto_parallel]: 3.23e-06 [py_interpret_to_execute]: 0.00083983 [rewriter_before_opt_a]: 0.0001029 [expand_dump_flag]: 4.70001e-06 [jit_opt_a]: 0.105791, [2] [Cycle 1]: 0.00457847, [27] [switch_simplify]: 6.562e-05 [loop_unroll]: 2.82e-05 [a_1]: 0.00059201 [with_stream_mark]: 3.3e-05 [recompute_prepare]: 1.19e-05 [updatestate_depend_eliminate]: 5.09e-06 [updatestate_assign_eliminate]: 3.53e-06 [updatestate_loads_eliminate]: 3.46999e-06 [parameter_eliminate]: 1.91998e-06 [specialize_transform]: 7.93001e-06 [updatestate_useless_node_eliminater]: 7.12002e-06 [accelerated_algorithm]: 8.07e-06 [meta_shard_fg_expand]: 2.21e-06 [get_grad_eliminate_]: 6.64999e-06 [merge_forward]: 4.13001e-06 [cell_reuse_recompute_pass]: 1.35001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.819e-05 [j_node_and_user_rematch]: 1.127e-05 [meta_fg_expand]: 2.49999e-06 [replace_old_param]: 1.178e-05 [inline_without_move]: 7.51999e-06 [renormalize]: 0.00338166 [add_forward_monad_depend]: 1.603e-05 [auto_monad_grad]: 2.98e-06 [auto_monad_eliminator]: 2.476e-05 [cse]: 3.851e-05 [replace_applicator]: 2.759e-05 [Cycle 2]: 0.0004269, [27] [switch_simplify]: 7.67998e-06 [loop_unroll]: 6.24001e-06 [a_1]: 0.00013882 [with_stream_mark]: 1.974e-05 [recompute_prepare]: 6.12001e-06 [updatestate_depend_eliminate]: 4.05998e-06 [updatestate_assign_eliminate]: 2.91e-06 [updatestate_loads_eliminate]: 3.04999e-06 [parameter_eliminate]: 1.73002e-06 [specialize_transform]: 6.28e-06 [updatestate_useless_node_eliminater]: 6.13002e-06 [accelerated_algorithm]: 6.11e-06 [meta_shard_fg_expand]: 2.34999e-06 [get_grad_eliminate_]: 6.17999e-06 [merge_forward]: 4.2e-06 [cell_reuse_recompute_pass]: 3.04999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.241e-05 [j_node_and_user_rematch]: 1.04e-05 [meta_fg_expand]: 2.43e-06 [replace_old_param]: 1.11e-05 [inline_without_move]: 6.24001e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 1.89e-06 [auto_monad_grad]: 7.7e-07 [auto_monad_eliminator]: 7.25e-06 [cse]: 1.287e-05 [replace_applicator]: 7.38e-06 [py_interpret_to_execute_after_opt_a]: 1.701e-05 [rewriter_after_opt_a]: 4.712e-05 [convert_after_rewriter]: 8.32998e-06 [order_py_execute_after_rewriter]: 4.95001e-06 [mutable_eliminate]: 0.00080856 [jit_opt_b]: 6.354e-05, [1] [Cycle 1]: 5.37e-05, [2] [frontend_op_eliminate]: 2.033e-05 [inline_after_opt_a]: 1.94e-05 [cconv]: 3.506e-05 [loop_unroll]: 0.00050505 [jit_opt_after_cconv]: 0.00017713, [1] [Cycle 1]: 0.00016854, [11] [c_1]: 2.796e-05 [parameter_eliminate]: 4.53999e-06 [updatestate_depend_eliminate]: 8.95001e-06 [updatestate_assign_eliminate]: 2.83e-06 [updatestate_loads_eliminate]: 2.72001e-06 [cse]: 2.836e-05 [call_graph_tuple_transform]: 2.484e-05 [tuple_list_get_item_eliminator]: 6.88998e-06 [none_parameter_eliminate]: 1.79e-06 [renormalize]: 6.19999e-07 [switch_simplify]: 7.13998e-06 [remove_dup_value]: 1.759e-05 [partial_unused_args_eliminate]: 2.63998e-06 [environ_conv]: 1.162e-05 [add_recomputation]: 6.093e-05 [cse_after_recomputation]: 2.543e-05, [1] [Cycle 1]: 1.93e-05, [1] [cse]: 1.297e-05 [auto_monad_reorder]: 1.75e-05 [get_jit_bprop_graph]: 2.49999e-06 [rewriter_after_jit_bprop_graph]: 0.00018196 [opt_after_jit_grad]: 0.00057475 [symbol_engine_optimizer]: 8.968e-05, [1] [Cycle 1]: 8.227e-05, [6] [build]: 3.96001e-06 [elim_shapecalc]: 9.75002e-06 [elim_not_effective]: 1.502e-05 [opt_reshape]: 1.011e-05 [fold_const_symbol]: 1.195e-05 [renormalize]: 3.60014e-07 [validate]: 5.826e-05 Sums bootstrap : 0.000782s : 0.08% type_inference : 0.952462s : 99.06% event_method : 0.000024s : 0.00% auto_monad : 0.000079s : 0.01% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000840s : 0.09% rewriter_before_opt_a : 0.000103s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000073s : 0.01% jit_opt_a.loop_unroll : 0.000034s : 0.00% jit_opt_a.a_1 : 0.000731s : 0.08% jit_opt_a.with_stream_mark : 0.000053s : 0.01% jit_opt_a.recompute_prepare : 0.000018s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000006s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000007s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000014s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000013s : 0.00% jit_opt_a.accelerated_algorithm : 0.000014s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000013s : 0.00% jit_opt_a.merge_forward : 0.000008s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000041s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000022s : 0.00% jit_opt_a.meta_fg_expand : 0.000005s : 0.00% jit_opt_a.replace_old_param : 0.000023s : 0.00% jit_opt_a.inline_without_move : 0.000014s : 0.00% jit_opt_a.renormalize : 0.003382s : 0.35% jit_opt_a.add_forward_monad_depend : 0.000018s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000032s : 0.00% jit_opt_a.cse : 0.000051s : 0.01% jit_opt_a.replace_applicator : 0.000035s : 0.00% py_interpret_to_execute_after_opt_a : 0.000017s : 0.00% rewriter_after_opt_a : 0.000047s : 0.00% convert_after_rewriter : 0.000008s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000809s : 0.08% jit_opt_b.frontend_op_eliminate : 0.000020s : 0.00% jit_opt_b.inline_after_opt_a : 0.000019s : 0.00% cconv : 0.000035s : 0.00% loop_unroll : 0.000505s : 0.05% jit_opt_after_cconv.c_1 : 0.000028s : 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 : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000028s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000025s : 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 : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000012s : 0.00% add_recomputation : 0.000061s : 0.01% cse_after_recomputation.cse : 0.000013s : 0.00% auto_monad_reorder : 0.000017s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000182s : 0.02% opt_after_jit_grad : 0.000575s : 0.06% symbol_engine_optimizer.build : 0.000004s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000010s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000015s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000010s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000012s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000058s : 0.01% Time group info: ------[substitution.] 0.000229 23 0.94% : 0.000002s : 2: substitution.elim_not_effective 0.70% : 0.000002s : 2: substitution.fold_const_symbol 2.94% : 0.000007s : 4: substitution.graph_param_transform 82.67% : 0.000189s : 4: substitution.inline 2.01% : 0.000005s : 4: substitution.j_node_and_user_rematch 2.71% : 0.000006s : 4: substitution.remove_not_recompute_node 3.23% : 0.000007s : 2: substitution.replace_old_param 4.80% : 0.000011s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.952349 2 99.68% : 0.949321s : 1: type_inference.infer 0.32% : 0.003028s : 1: type_inference.specialize ------[replace.] 0.000057 5 83.03% : 0.000047s : 4: replace.inline 16.97% : 0.000010s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000197 5 94.86% : 0.000187s : 4: match.inline 5.14% : 0.000010s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000141 801 1.28% : 0.000002s : 12: predicate.accumulaten_eliminater 1.21% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 1.07% : 0.000002s : 12: predicate.addn_check_dump 1.45% : 0.000002s : 12: predicate.addn_zero_filter 2.23% : 0.000003s : 12: predicate.arithmetic_simplify 1.26% : 0.000002s : 12: predicate.cast_eliminate 0.48% : 0.000001s : 4: predicate.check_bprop_eliminate 1.02% : 0.000001s : 12: predicate.compare_switch_simplify 1.22% : 0.000002s : 12: predicate.depend_value_elim 1.08% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.41% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.11% : 0.000002s : 12: predicate.dict_set_item_eliminator 0.92% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.40% : 0.000001s : 4: predicate.elim_not_effective 0.66% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.28% : 0.000002s : 12: predicate.environ_add_const_eliminate 1.27% : 0.000002s : 12: predicate.environ_get_add_eliminate 1.34% : 0.000002s : 12: predicate.environ_get_depend_swap 1.35% : 0.000002s : 12: predicate.environ_get_eliminate 1.19% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.28% : 0.000000s : 4: predicate.fold_const_symbol 1.28% : 0.000002s : 8: predicate.get_grad_eliminate 0.28% : 0.000000s : 4: predicate.graph_param_transform 6.49% : 0.000009s : 25: predicate.inline 0.87% : 0.000001s : 8: predicate.inline_without_move 0.45% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.16% : 0.000002s : 8: predicate.less_batch_normalization 1.39% : 0.000002s : 13: predicate.list_to_tuple_eliminator_ 1.72% : 0.000002s : 17: predicate.load_eliminater 1.71% : 0.000002s : 4: predicate.loop_unroll_after_grad 3.14% : 0.000004s : 28: predicate.loop_unroll_before_grad 2.02% : 0.000003s : 16: predicate.make_slice_get_slice_eliminator 1.15% : 0.000002s : 12: predicate.merge_addn 1.11% : 0.000002s : 12: predicate.minmaximum_grad 1.84% : 0.000003s : 4: predicate.mutable_eliminate 0.62% : 0.000001s : 4: predicate.opt_reshape 2.23% : 0.000003s : 17: predicate.partial_eliminate 1.29% : 0.000002s : 12: predicate.print_const_string_wrapper 1.64% : 0.000002s : 12: predicate.reduce_eliminate 1.33% : 0.000002s : 13: predicate.redundant_stop_gradient_eliminater 0.79% : 0.000001s : 8: predicate.remove_not_recompute_node 2.26% : 0.000003s : 21: predicate.replace_applicator 0.78% : 0.000001s : 8: predicate.replace_old_param 0.54% : 0.000001s : 4: predicate.reset_defer_inline 1.38% : 0.000002s : 12: predicate.reshape_eliminate 1.21% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.72% : 0.000001s : 4: predicate.row_tensor_eliminate 1.16% : 0.000002s : 12: predicate.same_eliminate 0.65% : 0.000001s : 8: predicate.set_cell_output_no_recompute 0.97% : 0.000001s : 8: predicate.special_op_eliminate 0.94% : 0.000001s : 8: predicate.specialize_transform 1.53% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 1.31% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.45% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.39% : 0.000003s : 17: predicate.switch_defer_inline 1.82% : 0.000003s : 17: predicate.switch_layer_defer_inline 6.30% : 0.000009s : 49: predicate.switch_simplify 1.17% : 0.000002s : 12: predicate.tile_eliminate 1.19% : 0.000002s : 12: predicate.transpose_eliminate 1.40% : 0.000002s : 12: predicate.tuple_list_convert_item_index_to_positive 1.26% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 4.35% : 0.000006s : 21: predicate.tuple_list_get_item_eliminator 1.55% : 0.000002s : 12: predicate.tuple_list_set_item_eliminator 1.38% : 0.000002s : 13: predicate.tuple_to_list_eliminator_ 1.61% : 0.000002s : 17: predicate.updatestate_pure_node_eliminater 2.86% : 0.000004s : 25: predicate.updatestate_useless_node_eliminater 1.65% : 0.000002s : 12: predicate.value_based_eliminate 0.40% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.72% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.002640 18 66.62% : 0.001759s : 12: func_graph_cloner_run.FuncGraphClonerGraph 33.38% : 0.000881s : 6: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.067500 72 0.01% : 0.000065s : 1: add_recomputation 0.01% : 0.000083s : 1: auto_monad 0.00% : 0.000020s : 1: auto_monad_reorder 0.08% : 0.000812s : 1: bootstrap 0.00% : 0.000038s : 1: cconv 0.00% : 0.000011s : 1: convert_after_rewriter 0.00% : 0.000028s : 1: cse_after_recomputation 0.00% : 0.000014s : 1: environ_conv 0.00% : 0.000030s : 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 9.91% : 0.105795s : 1: jit_opt_a 0.02% : 0.000180s : 1: jit_opt_after_cconv 0.01% : 0.000066s : 1: jit_opt_b 0.05% : 0.000515s : 1: loop_unroll 0.08% : 0.000821s : 1: mutable_eliminate 0.09% : 0.001006s : 26: opt.transform.jit_opt_a 0.01% : 0.000063s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000033s : 4: opt.transform.jit_opt_b 0.00% : 0.000017s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000018s : 1: opt.transform.mutable_eliminate 0.00% : 0.000029s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000042s : 4: opt.transform.symbol_engine_opt 0.05% : 0.000585s : 1: opt_after_jit_grad 0.00% : 0.000007s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pre_auto_parallel 0.08% : 0.000854s : 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 0.21% : 0.002281s : 1: renormalize.infer 0.10% : 0.001085s : 1: renormalize.specialize 0.02% : 0.000186s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000050s : 1: rewriter_after_opt_a 0.01% : 0.000111s : 1: rewriter_before_opt_a 0.01% : 0.000093s : 1: symbol_engine_optimizer 89.23% : 0.952492s : 1: type_inference TotalTime = 1.15044, [30] [bootstrap]: 0.00032507 [type_inference]: 1.01807 [event_method]: 0.00088263 [auto_monad]: 0.00018831 [graph_reusing]: 1.084e-05 [pre_auto_parallel]: 4.12998e-06 [py_interpret_to_execute]: 6.735e-05 [rewriter_before_opt_a]: 0.00017256 [expand_dump_flag]: 4.23999e-06 [jit_opt_a]: 0.127688, [2] [Cycle 1]: 0.112271, [27] [switch_simplify]: 0.00024879 [loop_unroll]: 0.00014336 [a_1]: 0.00166917 [with_stream_mark]: 4.585e-05 [recompute_prepare]: 3.46e-05 [updatestate_depend_eliminate]: 1.081e-05 [updatestate_assign_eliminate]: 7.23e-06 [updatestate_loads_eliminate]: 6.64001e-06 [parameter_eliminate]: 4.18999e-06 [specialize_transform]: 1.587e-05 [updatestate_useless_node_eliminater]: 1.42e-05 [accelerated_algorithm]: 1.678e-05 [meta_shard_fg_expand]: 6.48998e-06 [get_grad_eliminate_]: 1.628e-05 [merge_forward]: 1.101e-05 [cell_reuse_recompute_pass]: 1.32999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.49e-05 [j_node_and_user_rematch]: 2.68e-05 [meta_fg_expand]: 0.00242041 [replace_old_param]: 7.724e-05 [inline_without_move]: 6.87e-05 [renormalize]: 0.00693331 [add_forward_monad_depend]: 7.45e-06 [auto_monad_grad]: 2.51e-06 [auto_monad_eliminator]: 1.86e-05 [cse]: 3.473e-05 [replace_applicator]: 2.621e-05 [Cycle 2]: 0.00049617, [27] [switch_simplify]: 6.65998e-06 [loop_unroll]: 5.54e-06 [a_1]: 5.692e-05 [with_stream_mark]: 1.398e-05 [recompute_prepare]: 5.55001e-06 [updatestate_depend_eliminate]: 3.29001e-06 [updatestate_assign_eliminate]: 2.58e-06 [updatestate_loads_eliminate]: 2.54999e-06 [parameter_eliminate]: 1.75001e-06 [specialize_transform]: 3.75e-06 [updatestate_useless_node_eliminater]: 3.7e-06 [accelerated_algorithm]: 4.38999e-06 [meta_shard_fg_expand]: 2.11998e-06 [get_grad_eliminate_]: 3.66999e-06 [merge_forward]: 3.48e-06 [cell_reuse_recompute_pass]: 3.14001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.921e-05 [j_node_and_user_rematch]: 7.60998e-06 [meta_fg_expand]: 0.0001699 [replace_old_param]: 8.22e-06 [inline_without_move]: 4.61002e-06 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 1.91e-06 [auto_monad_grad]: 1.67001e-06 [auto_monad_eliminator]: 7.49002e-06 [cse]: 1.503e-05 [replace_applicator]: 4.75001e-06 [py_interpret_to_execute_after_opt_a]: 1.439e-05 [rewriter_after_opt_a]: 0.00037778 [convert_after_rewriter]: 1.266e-05 [order_py_execute_after_rewriter]: 4.89e-06 [mutable_eliminate]: 0.00079798 [jit_opt_b]: 5.223e-05, [1] [Cycle 1]: 4.332e-05, [2] [frontend_op_eliminate]: 1.414e-05 [inline_after_opt_a]: 1.549e-05 [cconv]: 8.624e-05 [loop_unroll]: 0.00050186 [jit_opt_after_cconv]: 0.00018719, [1] [Cycle 1]: 0.00017961, [11] [c_1]: 1.74e-05 [parameter_eliminate]: 4.14997e-06 [updatestate_depend_eliminate]: 8.50999e-06 [updatestate_assign_eliminate]: 2.44999e-06 [updatestate_loads_eliminate]: 2.20002e-06 [cse]: 3.281e-05 [call_graph_tuple_transform]: 2.162e-05 [tuple_list_get_item_eliminator]: 4.55999e-06 [none_parameter_eliminate]: 2.31e-06 [renormalize]: 6.29982e-07 [switch_simplify]: 5.86e-06 [remove_dup_value]: 1.892e-05 [partial_unused_args_eliminate]: 2.28002e-06 [environ_conv]: 6.10002e-06 [add_recomputation]: 4.315e-05 [cse_after_recomputation]: 2.618e-05, [1] [Cycle 1]: 1.911e-05, [1] [cse]: 1.13e-05 [auto_monad_reorder]: 1.473e-05 [get_jit_bprop_graph]: 2.10002e-06 [rewriter_after_jit_bprop_graph]: 7.01001e-06 [opt_after_jit_grad]: 0.00051281 [symbol_engine_optimizer]: 7.425e-05, [1] [Cycle 1]: 6.663e-05, [6] [build]: 4.07998e-06 [elim_shapecalc]: 7.63001e-06 [elim_not_effective]: 1.247e-05 [opt_reshape]: 4.75999e-06 [fold_const_symbol]: 7.61001e-06 [renormalize]: 5.19998e-07 [validate]: 3.691e-05 Sums bootstrap : 0.000325s : 0.03% type_inference : 1.018069s : 98.40% event_method : 0.000883s : 0.09% auto_monad : 0.000188s : 0.02% graph_reusing : 0.000011s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000067s : 0.01% rewriter_before_opt_a : 0.000173s : 0.02% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000255s : 0.02% jit_opt_a.loop_unroll : 0.000149s : 0.01% jit_opt_a.a_1 : 0.001726s : 0.17% jit_opt_a.with_stream_mark : 0.000060s : 0.01% jit_opt_a.recompute_prepare : 0.000040s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000014s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.00% jit_opt_a.parameter_eliminate : 0.000006s : 0.00% jit_opt_a.specialize_transform : 0.000020s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000018s : 0.00% jit_opt_a.accelerated_algorithm : 0.000021s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000009s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000020s : 0.00% jit_opt_a.merge_forward : 0.000014s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000054s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000034s : 0.00% jit_opt_a.meta_fg_expand : 0.002590s : 0.25% jit_opt_a.replace_old_param : 0.000085s : 0.01% jit_opt_a.inline_without_move : 0.000073s : 0.01% jit_opt_a.renormalize : 0.006933s : 0.67% jit_opt_a.add_forward_monad_depend : 0.000009s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000026s : 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 : 0.000378s : 0.04% convert_after_rewriter : 0.000013s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000798s : 0.08% jit_opt_b.frontend_op_eliminate : 0.000014s : 0.00% jit_opt_b.inline_after_opt_a : 0.000015s : 0.00% cconv : 0.000086s : 0.01% loop_unroll : 0.000502s : 0.05% jit_opt_after_cconv.c_1 : 0.000017s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.cse : 0.000033s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000022s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000005s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000006s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000006s : 0.00% add_recomputation : 0.000043s : 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 : 0.000513s : 0.05% symbol_engine_optimizer.build : 0.000004s : 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 : 0.000005s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000008s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000037s : 0.00% Time group info: ------[substitution.] 0.000592 65 0.30% : 0.000002s : 1: substitution.elim_not_effective 0.16% : 0.000001s : 1: substitution.fold_const_symbol 0.86% : 0.000005s : 1: substitution.graph_param_transform 77.16% : 0.000457s : 13: substitution.inline 4.61% : 0.000027s : 2: substitution.inline_without_move 1.41% : 0.000008s : 9: substitution.j_node_and_user_rematch 0.81% : 0.000005s : 2: substitution.minmaximum_grad 1.72% : 0.000010s : 9: substitution.partial_eliminate 1.43% : 0.000008s : 9: substitution.remove_not_recompute_node 0.55% : 0.000003s : 1: substitution.replace_applicator 1.14% : 0.000007s : 6: substitution.replace_old_param 0.71% : 0.000004s : 1: substitution.set_cell_output_no_recompute 3.09% : 0.000018s : 3: substitution.switch_simplify 1.91% : 0.000011s : 2: substitution.tuple_list_convert_item_index_to_positive 1.07% : 0.000006s : 2: substitution.tuple_list_get_item_depend_reorder 3.06% : 0.000018s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.017911 2 99.48% : 1.012576s : 1: type_inference.infer 0.52% : 0.005335s : 1: type_inference.specialize ------[replace.] 0.000251 17 59.66% : 0.000150s : 13: replace.inline 35.09% : 0.000088s : 3: replace.switch_simplify 5.24% : 0.000013s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000470 17 95.38% : 0.000448s : 13: match.inline 3.53% : 0.000017s : 3: match.switch_simplify 1.09% : 0.000005s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000310 1539 1.24% : 0.000004s : 26: predicate.accumulaten_eliminater 0.42% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.05% : 0.000003s : 26: predicate.addn_check_dump 1.21% : 0.000004s : 26: predicate.addn_zero_filter 1.70% : 0.000005s : 26: predicate.arithmetic_simplify 1.59% : 0.000005s : 26: predicate.cast_eliminate 0.17% : 0.000001s : 1: predicate.check_bprop_eliminate 1.12% : 0.000003s : 26: predicate.compare_switch_simplify 1.10% : 0.000003s : 26: predicate.depend_value_elim 1.09% : 0.000003s : 26: predicate.dict_get_item_const_eliminator 1.28% : 0.000004s : 26: predicate.dict_get_item_eliminator 1.14% : 0.000004s : 26: predicate.dict_set_item_eliminator 0.26% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.15% : 0.000000s : 1: predicate.elim_not_effective 0.24% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 9.67% : 0.000030s : 26: predicate.environ_add_const_eliminate 1.23% : 0.000004s : 26: predicate.environ_get_add_eliminate 1.13% : 0.000004s : 26: predicate.environ_get_depend_swap 1.12% : 0.000003s : 26: predicate.environ_get_eliminate 1.05% : 0.000003s : 26: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 1: predicate.fold_const_symbol 0.72% : 0.000002s : 13: predicate.get_grad_eliminate 0.10% : 0.000000s : 1: predicate.graph_param_transform 4.63% : 0.000014s : 42: predicate.inline 2.10% : 0.000007s : 35: predicate.inline_without_move 0.30% : 0.000001s : 13: predicate.j_node_and_user_rematch 1.06% : 0.000003s : 13: predicate.less_batch_normalization 1.52% : 0.000005s : 27: predicate.list_to_tuple_eliminator_ 1.30% : 0.000004s : 28: predicate.load_eliminater 0.63% : 0.000002s : 1: predicate.loop_unroll_after_grad 10.03% : 0.000031s : 67: predicate.loop_unroll_before_grad 1.44% : 0.000004s : 27: predicate.make_slice_get_slice_eliminator 1.03% : 0.000003s : 26: predicate.merge_addn 1.14% : 0.000004s : 26: predicate.minmaximum_grad 0.80% : 0.000002s : 1: predicate.mutable_eliminate 0.12% : 0.000000s : 1: predicate.opt_reshape 1.63% : 0.000005s : 28: predicate.partial_eliminate 1.10% : 0.000003s : 26: predicate.print_const_string_wrapper 1.61% : 0.000005s : 26: predicate.reduce_eliminate 1.33% : 0.000004s : 27: predicate.redundant_stop_gradient_eliminater 0.48% : 0.000001s : 13: predicate.remove_not_recompute_node 1.24% : 0.000004s : 29: predicate.replace_applicator 1.29% : 0.000004s : 35: predicate.replace_old_param 0.09% : 0.000000s : 1: predicate.reset_defer_inline 1.20% : 0.000004s : 26: predicate.reshape_eliminate 1.17% : 0.000004s : 26: predicate.row_tensor_add_zeros_like 0.40% : 0.000001s : 1: predicate.row_tensor_eliminate 1.31% : 0.000004s : 26: predicate.same_eliminate 0.54% : 0.000002s : 13: predicate.set_cell_output_no_recompute 0.23% : 0.000001s : 2: predicate.special_op_eliminate 0.74% : 0.000002s : 13: predicate.specialize_transform 1.36% : 0.000004s : 26: predicate.split_environ_get_set_with_tuple_value 1.15% : 0.000004s : 26: predicate.stack_unstack_eliminate 0.14% : 0.000000s : 1: predicate.switch_call_monad_eliminater 2.85% : 0.000009s : 40: predicate.switch_defer_inline 2.20% : 0.000007s : 40: predicate.switch_layer_defer_inline 6.75% : 0.000021s : 114: predicate.switch_simplify 1.12% : 0.000003s : 26: predicate.tile_eliminate 1.14% : 0.000004s : 26: predicate.transpose_eliminate 1.78% : 0.000006s : 26: predicate.tuple_list_convert_item_index_to_positive 1.40% : 0.000004s : 26: predicate.tuple_list_get_item_depend_reorder 2.67% : 0.000008s : 29: predicate.tuple_list_get_item_eliminator 1.41% : 0.000004s : 26: predicate.tuple_list_set_item_eliminator 1.38% : 0.000004s : 27: predicate.tuple_to_list_eliminator_ 1.53% : 0.000005s : 28: predicate.updatestate_pure_node_eliminater 2.23% : 0.000007s : 41: predicate.updatestate_useless_node_eliminater 1.37% : 0.000004s : 26: predicate.value_based_eliminate 0.07% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.19% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.004101 37 80.79% : 0.003314s : 21: func_graph_cloner_run.FuncGraphClonerGraph 19.21% : 0.000788s : 16: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.159858 72 0.00% : 0.000046s : 1: add_recomputation 0.02% : 0.000197s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.03% : 0.000346s : 1: bootstrap 0.01% : 0.000090s : 1: cconv 0.00% : 0.000017s : 1: convert_after_rewriter 0.00% : 0.000029s : 1: cse_after_recomputation 0.00% : 0.000008s : 1: environ_conv 0.08% : 0.000902s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000014s : 1: graph_reusing 11.01% : 0.127691s : 1: jit_opt_a 0.02% : 0.000191s : 1: jit_opt_after_cconv 0.00% : 0.000055s : 1: jit_opt_b 0.04% : 0.000512s : 1: loop_unroll 0.07% : 0.000808s : 1: mutable_eliminate 0.21% : 0.002467s : 26: opt.transform.jit_opt_a 0.00% : 0.000045s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000022s : 4: opt.transform.jit_opt_b 0.00% : 0.000013s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000017s : 1: opt.transform.mutable_eliminate 0.00% : 0.000019s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000028s : 4: opt.transform.symbol_engine_opt 0.05% : 0.000523s : 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% : 0.000071s : 1: py_interpret_to_execute 0.00% : 0.000017s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 0.53% : 0.006196s : 1: renormalize.infer 0.06% : 0.000722s : 1: renormalize.specialize 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000384s : 1: rewriter_after_opt_a 0.02% : 0.000176s : 1: rewriter_before_opt_a 0.01% : 0.000077s : 1: symbol_engine_optimizer 87.78% : 1.018098s : 1: type_inference . [hook] pytest_runtest_teardown:test_squeeze_dimensions[input_shape6-3-KBK] tests/st/mint/test_squeeze.py::test_squeeze_dimensions[input_shape6-3-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 ================= 14 passed, 25 warnings in 333.87s (0:05:33) ==================