==================================================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_005/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 10 items test_reshape.py [WARNING] PARSER(167441,ffffaefa6f30,python3.9):2026-01-29-17:40:20.154.042 [mindspore/ccsrc/frontend/jit/ps/parse/data_converter.cc:661] CheckAPI] The mint interface reshape 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 = 46.9597, [33] [bootstrap]: 0.00059124 [type_inference]: 1.0511 [event_method]: 0.00035184 [auto_monad]: 0.00018157 [graph_reusing]: 9.61e-06 [pre_auto_parallel]: 1.304e-05 [py_interpret_to_execute]: 5.64e-05 [rewriter_before_opt_a]: 0.00016773 [expand_dump_flag]: 4.28999e-06 [jit_opt_a]: 1.89485, [3] [Cycle 1]: 1.8228, [27] [switch_simplify]: 0.00011469 [loop_unroll]: 6.209e-05 [a_1]: 0.00131387 [with_stream_mark]: 4.249e-05 [recompute_prepare]: 3.486e-05 [updatestate_depend_eliminate]: 8.62e-06 [updatestate_assign_eliminate]: 5.85002e-06 [updatestate_loads_eliminate]: 1.033e-05 [parameter_eliminate]: 4.85999e-06 [specialize_transform]: 1.82e-05 [updatestate_useless_node_eliminater]: 1.167e-05 [accelerated_algorithm]: 1.323e-05 [meta_shard_fg_expand]: 5.15999e-06 [get_grad_eliminate_]: 1.168e-05 [merge_forward]: 7.48e-06 [cell_reuse_recompute_pass]: 1.23002e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.482e-05 [j_node_and_user_rematch]: 1.994e-05 [meta_fg_expand]: 0.844964, [1] [Cycle 1]: 0.44047, [1] [resolve]: 0.440413 [replace_old_param]: 0.00019469 [inline_without_move]: 0.129787 [renormalize]: 0.844585 [add_forward_monad_depend]: 3.783e-05 [auto_monad_grad]: 0.00042726 [auto_monad_eliminator]: 8.295e-05 [cse]: 0.00029957 [replace_applicator]: 0.00017726 [Cycle 2]: 0.0100984, [27] [switch_simplify]: 0.00016141 [loop_unroll]: 5.996e-05 [a_1]: 0.00140364 [with_stream_mark]: 3.331e-05 [recompute_prepare]: 2.461e-05 [updatestate_depend_eliminate]: 1.228e-05 [updatestate_assign_eliminate]: 7.63001e-06 [updatestate_loads_eliminate]: 7.16999e-06 [parameter_eliminate]: 3.4e-06 [specialize_transform]: 2.163e-05 [updatestate_useless_node_eliminater]: 1.648e-05 [accelerated_algorithm]: 6.459e-05 [meta_shard_fg_expand]: 7e-06 [get_grad_eliminate_]: 1.457e-05 [merge_forward]: 7.66999e-06 [cell_reuse_recompute_pass]: 1.24e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.15e-05 [j_node_and_user_rematch]: 2.377e-05 [meta_fg_expand]: 0.00041358 [replace_old_param]: 3.871e-05 [inline_without_move]: 2.33e-05 [renormalize]: 0.00720609 [add_forward_monad_depend]: 1.543e-05 [auto_monad_grad]: 4.79e-06 [auto_monad_eliminator]: 4.112e-05 [cse]: 7.6e-05 [replace_applicator]: 5.485e-05 [Cycle 3]: 0.00111692, [27] [switch_simplify]: 1.79e-05 [loop_unroll]: 1.709e-05 [a_1]: 0.00047989 [with_stream_mark]: 2.883e-05 [recompute_prepare]: 2.486e-05 [updatestate_depend_eliminate]: 1.057e-05 [updatestate_assign_eliminate]: 7.46999e-06 [updatestate_loads_eliminate]: 7.15998e-06 [parameter_eliminate]: 3.56001e-06 [specialize_transform]: 2.325e-05 [updatestate_useless_node_eliminater]: 1.532e-05 [accelerated_algorithm]: 2.358e-05 [meta_shard_fg_expand]: 4.62e-06 [get_grad_eliminate_]: 6.144e-05 [merge_forward]: 1.046e-05 [cell_reuse_recompute_pass]: 1.22999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.453e-05 [j_node_and_user_rematch]: 2.629e-05 [meta_fg_expand]: 7.36999e-06 [replace_old_param]: 2.255e-05 [inline_without_move]: 1.991e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 3.19001e-06 [auto_monad_grad]: 3.63999e-06 [auto_monad_eliminator]: 2.242e-05 [cse]: 5.269e-05 [replace_applicator]: 2.297e-05 [py_interpret_to_execute_after_opt_a]: 2.977e-05 [rewriter_after_opt_a]: 0.00088006 [convert_after_rewriter]: 3.124e-05 [order_py_execute_after_rewriter]: 1.116e-05 [mutable_eliminate]: 0.0438248 [jit_opt_b]: 0.00158289, [2] [Cycle 1]: 0.00150828, [2] [frontend_op_eliminate]: 0.00110679 [inline_after_opt_a]: 0.00034928 [Cycle 2]: 5.073e-05, [2] [frontend_op_eliminate]: 2.032e-05 [inline_after_opt_a]: 1.524e-05 [cconv]: 3.492e-05 [loop_unroll]: 0.000944 [jit_opt_after_cconv]: 0.00022702, [1] [Cycle 1]: 0.00021579, [11] [c_1]: 3.243e-05 [parameter_eliminate]: 9.59e-06 [updatestate_depend_eliminate]: 1.301e-05 [updatestate_assign_eliminate]: 5.20001e-06 [updatestate_loads_eliminate]: 2.92002e-06 [cse]: 4.639e-05 [call_graph_tuple_transform]: 2.888e-05 [tuple_list_get_item_eliminator]: 8.47e-06 [none_parameter_eliminate]: 1.72001e-06 [renormalize]: 7.2e-07 [switch_simplify]: 7.77e-06 [remove_dup_value]: 2.203e-05 [partial_unused_args_eliminate]: 2.86999e-06 [environ_conv]: 3.08e-05 [add_recomputation]: 6.474e-05 [cse_after_recomputation]: 3.311e-05, [1] [Cycle 1]: 2.537e-05, [1] [cse]: 1.6e-05 [auto_monad_reorder]: 2.893e-05 [get_jit_bprop_graph]: 3.85e-06 [rewriter_after_jit_bprop_graph]: 6.45002e-06 [opt_after_jit_grad]: 0.141041 [symbol_engine_optimizer]: 0.00012603, [1] [Cycle 1]: 0.00011258, [6] [build]: 8.03999e-06 [elim_shapecalc]: 1.261e-05 [elim_not_effective]: 2.449e-05 [opt_reshape]: 1.147e-05 [fold_const_symbol]: 1.199e-05 [renormalize]: 1.08001e-06 [validate]: 9.244e-05 [backend_pass]: 1.36998e-06 [task_emit]: 43.8207 [execute]: 1.556e-05 Sums bootstrap : 0.000591s : 0.00% type_inference : 1.051100s : 2.26% event_method : 0.000352s : 0.00% auto_monad : 0.000182s : 0.00% graph_reusing : 0.000010s : 0.00% pre_auto_parallel : 0.000013s : 0.00% py_interpret_to_execute : 0.000056s : 0.00% rewriter_before_opt_a : 0.000168s : 0.00% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000294s : 0.00% jit_opt_a.loop_unroll : 0.000139s : 0.00% jit_opt_a.a_1 : 0.003197s : 0.01% jit_opt_a.with_stream_mark : 0.000105s : 0.00% jit_opt_a.recompute_prepare : 0.000084s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000031s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000021s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000025s : 0.00% jit_opt_a.parameter_eliminate : 0.000012s : 0.00% jit_opt_a.specialize_transform : 0.000063s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000043s : 0.00% jit_opt_a.accelerated_algorithm : 0.000101s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000017s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000088s : 0.00% jit_opt_a.merge_forward : 0.000026s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000101s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000070s : 0.00% jit_opt_a.meta_fg_expand : 0.000421s : 0.00% jit_opt_a.meta_fg_expand.resolve : 0.440413s : 0.95% jit_opt_a.replace_old_param : 0.000256s : 0.00% jit_opt_a.inline_without_move : 0.129830s : 0.28% jit_opt_a.renormalize : 0.851791s : 1.83% jit_opt_a.add_forward_monad_depend : 0.000056s : 0.00% jit_opt_a.auto_monad_grad : 0.000436s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000146s : 0.00% jit_opt_a.cse : 0.000428s : 0.00% jit_opt_a.replace_applicator : 0.000255s : 0.00% py_interpret_to_execute_after_opt_a : 0.000030s : 0.00% rewriter_after_opt_a : 0.000880s : 0.00% convert_after_rewriter : 0.000031s : 0.00% order_py_execute_after_rewriter : 0.000011s : 0.00% mutable_eliminate : 0.043825s : 0.09% jit_opt_b.frontend_op_eliminate : 0.001127s : 0.00% jit_opt_b.inline_after_opt_a : 0.000365s : 0.00% cconv : 0.000035s : 0.00% loop_unroll : 0.000944s : 0.00% jit_opt_after_cconv.c_1 : 0.000032s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000010s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000046s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000029s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000008s : 0.00% remove_dup_value : 0.000022s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000031s : 0.00% add_recomputation : 0.000065s : 0.00% cse_after_recomputation.cse : 0.000016s : 0.00% auto_monad_reorder : 0.000029s : 0.00% get_jit_bprop_graph : 0.000004s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.141041s : 0.30% symbol_engine_optimizer.build : 0.000008s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000013s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000024s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000012s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000092s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 43.820681s : 94.26% execute : 0.000016s : 0.00% Time group info: ------[substitution.] 0.569319 220 0.00% : 0.000004s : 2: substitution.elim_not_effective 0.00% : 0.000002s : 2: substitution.fold_const_symbol 77.03% : 0.438535s : 37: substitution.getattr_setattr_resolve 0.00% : 0.000007s : 4: substitution.graph_param_transform 0.15% : 0.000847s : 27: substitution.inline 22.75% : 0.129533s : 19: substitution.inline_without_move 0.00% : 0.000012s : 21: substitution.j_node_and_user_rematch 0.01% : 0.000046s : 4: substitution.less_batch_normalization 0.00% : 0.000010s : 4: substitution.minmaximum_grad 0.00% : 0.000001s : 1: substitution.opt_reshape 0.00% : 0.000004s : 2: substitution.partial_eliminate 0.00% : 0.000017s : 21: substitution.remove_not_recompute_node 0.01% : 0.000084s : 21: substitution.replace_applicator 0.00% : 0.000022s : 20: substitution.replace_old_param 0.00% : 0.000012s : 1: substitution.reset_defer_inline 0.01% : 0.000032s : 5: substitution.reshape_eliminate 0.00% : 0.000017s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000008s : 2: substitution.specialize_transform 0.00% : 0.000016s : 4: substitution.switch_simplify 0.00% : 0.000010s : 1: substitution.transpose_eliminate 0.00% : 0.000022s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000013s : 4: substitution.tuple_list_get_item_depend_reorder 0.01% : 0.000066s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.051001 2 99.71% : 1.047983s : 1: type_inference.infer 0.29% : 0.003017s : 1: type_inference.specialize ------[replace.] 0.001104 65 66.18% : 0.000731s : 30: replace.getattr_setattr_resolve 22.41% : 0.000247s : 25: replace.inline 5.52% : 0.000061s : 4: replace.switch_simplify 0.72% : 0.000008s : 1: replace.transpose_eliminate 5.17% : 0.000057s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.439148 65 99.80% : 0.438276s : 30: match.getattr_setattr_resolve 0.19% : 0.000825s : 25: match.inline 0.00% : 0.000013s : 4: match.switch_simplify 0.00% : 0.000009s : 1: match.transpose_eliminate 0.01% : 0.000025s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000806 4204 1.09% : 0.000009s : 57: predicate.accumulaten_eliminater 0.69% : 0.000006s : 4: predicate.ad_related_special_op_eliminate 0.90% : 0.000007s : 57: predicate.addn_check_dump 1.06% : 0.000009s : 57: predicate.addn_zero_filter 1.47% : 0.000012s : 57: predicate.arithmetic_simplify 1.17% : 0.000009s : 58: predicate.cast_eliminate 0.32% : 0.000003s : 16: predicate.check_bprop_eliminate 0.91% : 0.000007s : 57: predicate.compare_switch_simplify 0.99% : 0.000008s : 57: predicate.depend_value_elim 1.04% : 0.000008s : 58: predicate.dict_get_item_const_eliminator 1.03% : 0.000008s : 58: predicate.dict_get_item_eliminator 1.04% : 0.000008s : 58: predicate.dict_set_item_eliminator 0.44% : 0.000004s : 4: predicate.dumpgradient_eliminate 0.11% : 0.000001s : 4: predicate.elim_not_effective 0.15% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.19% : 0.000010s : 58: predicate.environ_add_const_eliminate 1.06% : 0.000009s : 58: predicate.environ_get_add_eliminate 0.96% : 0.000008s : 58: predicate.environ_get_depend_swap 1.10% : 0.000009s : 58: predicate.environ_get_eliminate 0.97% : 0.000008s : 58: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 4: predicate.fold_const_symbol 0.79% : 0.000006s : 33: predicate.get_grad_eliminate 16.26% : 0.000131s : 336: predicate.getattr_setattr_resolve 0.04% : 0.000000s : 4: predicate.graph_param_transform 3.40% : 0.000027s : 111: predicate.inline 7.29% : 0.000059s : 177: predicate.inline_without_move 0.34% : 0.000003s : 33: predicate.j_node_and_user_rematch 1.04% : 0.000008s : 33: predicate.less_batch_normalization 1.07% : 0.000009s : 61: predicate.list_to_tuple_eliminator_ 1.19% : 0.000010s : 65: predicate.load_eliminater 0.50% : 0.000004s : 4: predicate.loop_unroll_after_grad 2.71% : 0.000022s : 142: predicate.loop_unroll_before_grad 1.29% : 0.000010s : 62: predicate.make_slice_get_slice_eliminator 0.98% : 0.000008s : 57: predicate.merge_addn 1.02% : 0.000008s : 57: predicate.minmaximum_grad 1.86% : 0.000015s : 12: predicate.mutable_eliminate 0.16% : 0.000001s : 4: predicate.opt_reshape 1.40% : 0.000011s : 65: predicate.partial_eliminate 1.19% : 0.000010s : 57: predicate.print_const_string_wrapper 1.28% : 0.000010s : 58: predicate.reduce_eliminate 1.10% : 0.000009s : 61: predicate.redundant_stop_gradient_eliminater 0.39% : 0.000003s : 33: predicate.remove_not_recompute_node 2.07% : 0.000017s : 153: predicate.replace_applicator 1.78% : 0.000014s : 177: predicate.replace_old_param 0.39% : 0.000003s : 24: predicate.reset_defer_inline 1.27% : 0.000010s : 58: predicate.reshape_eliminate 1.09% : 0.000009s : 57: predicate.row_tensor_add_zeros_like 0.55% : 0.000004s : 16: predicate.row_tensor_eliminate 1.08% : 0.000009s : 57: predicate.same_eliminate 0.44% : 0.000004s : 33: predicate.set_cell_output_no_recompute 0.75% : 0.000006s : 20: predicate.special_op_eliminate 0.76% : 0.000006s : 33: predicate.specialize_transform 1.12% : 0.000009s : 57: predicate.split_environ_get_set_with_tuple_value 0.98% : 0.000008s : 57: predicate.stack_unstack_eliminate 0.09% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.15% : 0.000017s : 85: predicate.switch_defer_inline 1.78% : 0.000014s : 85: predicate.switch_layer_defer_inline 4.98% : 0.000040s : 239: predicate.switch_simplify 1.11% : 0.000009s : 58: predicate.tile_eliminate 1.01% : 0.000008s : 58: predicate.transpose_eliminate 1.29% : 0.000010s : 58: predicate.tuple_list_convert_item_index_to_positive 1.26% : 0.000010s : 58: predicate.tuple_list_get_item_depend_reorder 2.61% : 0.000021s : 93: predicate.tuple_list_get_item_eliminator 1.46% : 0.000012s : 58: predicate.tuple_list_set_item_eliminator 1.10% : 0.000009s : 61: predicate.tuple_to_list_eliminator_ 1.14% : 0.000009s : 65: predicate.updatestate_pure_node_eliminater 2.07% : 0.000017s : 98: predicate.updatestate_useless_node_eliminater 1.39% : 0.000011s : 57: predicate.value_based_eliminate 0.08% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 1.11% : 0.000009s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.184140 79 98.42% : 0.181238s : 44: func_graph_cloner_run.FuncGraphClonerGraph 1.58% : 0.002902s : 35: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 48.386294 103 0.00% : 0.000070s : 1: add_recomputation 0.00% : 0.000190s : 1: auto_monad 0.00% : 0.000033s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.00% : 0.000619s : 1: bootstrap 0.00% : 0.000038s : 1: cconv 0.00% : 0.000037s : 1: convert_after_rewriter 0.00% : 0.000035s : 1: cse_after_recomputation 0.00% : 0.000036s : 1: environ_conv 0.00% : 0.000364s : 1: event_method 0.00% : 0.000030s : 1: execute 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 3.92% : 1.894854s : 1: jit_opt_a 0.00% : 0.000232s : 1: jit_opt_after_cconv 0.00% : 0.001590s : 1: jit_opt_b 0.00% : 0.000961s : 1: loop_unroll 0.09% : 0.043856s : 1: mutable_eliminate 0.28% : 0.134427s : 39: opt.transform.jit_opt_a 0.00% : 0.000072s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.001454s : 14: opt.transform.jit_opt_b 0.00% : 0.000025s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000065s : 1: opt.transform.mutable_eliminate 0.00% : 0.000053s : 1: opt.transform.opt_after_jit_grad 0.91% : 0.440058s : 2: opt.transform.opt_resolve 0.00% : 0.000057s : 4: opt.transform.symbol_engine_opt 0.29% : 0.141065s : 1: opt_after_jit_grad 0.00% : 0.000014s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000015s : 1: pre_auto_parallel 0.00% : 0.000060s : 1: py_interpret_to_execute 0.00% : 0.000034s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000025s : 1: remove_dup_value 1.40% : 0.677315s : 2: renormalize.infer 0.36% : 0.174436s : 2: renormalize.specialize 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000890s : 1: rewriter_after_opt_a 0.00% : 0.000173s : 1: rewriter_before_opt_a 0.00% : 0.000130s : 1: symbol_engine_optimizer 90.57% : 43.821674s : 1: task_emit 2.17% : 1.051122s : 1: type_inference 0.00% : 0.000143s : 1: validate . [hook] pytest_runtest_teardown:test_reshape_vmap[8-pynative] tests/st/mint/test_reshape.py::test_reshape_vmap[8-pynative],max_mem:4.0M [WARNING] ME(167441:281473617391408,MainProcess):2026-01-29-17:41:20.931.996 [mindspore/graph/api.py:1147] The func .after_vmap at 0xffff9cb9ed30> should be wrapped by jit only once. TotalTime = 1.61008, [33] [bootstrap]: 0.00098233 [type_inference]: 0.830681 [event_method]: 0.00040133 [auto_monad]: 0.00015004 [graph_reusing]: 9.60001e-06 [pre_auto_parallel]: 4.22998e-06 [py_interpret_to_execute]: 5.704e-05 [rewriter_before_opt_a]: 0.0001466 [expand_dump_flag]: 3.9e-06 [jit_opt_a]: 0.737262, [3] [Cycle 1]: 0.708295, [27] [switch_simplify]: 0.0001245 [loop_unroll]: 6.514e-05 [a_1]: 0.00141788 [with_stream_mark]: 4.138e-05 [recompute_prepare]: 2.42e-05 [updatestate_depend_eliminate]: 8.32e-06 [updatestate_assign_eliminate]: 5.22e-06 [updatestate_loads_eliminate]: 4.49002e-06 [parameter_eliminate]: 1.689e-05 [specialize_transform]: 6.514e-05 [updatestate_useless_node_eliminater]: 1.778e-05 [accelerated_algorithm]: 1.616e-05 [meta_shard_fg_expand]: 9.02e-06 [get_grad_eliminate_]: 1.2e-05 [merge_forward]: 2.747e-05 [cell_reuse_recompute_pass]: 4.23999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.91e-05 [j_node_and_user_rematch]: 1.894e-05 [meta_fg_expand]: 0.28472, [1] [Cycle 1]: 0.274088, [1] [resolve]: 0.274037 [replace_old_param]: 0.00022758 [inline_without_move]: 0.00032659 [renormalize]: 0.290762 [add_forward_monad_depend]: 3.676e-05 [auto_monad_grad]: 0.00106038 [auto_monad_eliminator]: 8.409e-05 [cse]: 0.00018858 [replace_applicator]: 0.00017497 [Cycle 2]: 0.022055, [27] [switch_simplify]: 0.00018827 [loop_unroll]: 5.764e-05 [a_1]: 0.00144152 [with_stream_mark]: 3.768e-05 [recompute_prepare]: 2.86e-05 [updatestate_depend_eliminate]: 1.055e-05 [updatestate_assign_eliminate]: 7.47998e-06 [updatestate_loads_eliminate]: 6.66999e-06 [parameter_eliminate]: 3.60998e-06 [specialize_transform]: 2.338e-05 [updatestate_useless_node_eliminater]: 1.563e-05 [accelerated_algorithm]: 7.552e-05 [meta_shard_fg_expand]: 5.47999e-06 [get_grad_eliminate_]: 1.534e-05 [merge_forward]: 8.07e-06 [cell_reuse_recompute_pass]: 1.20001e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.289e-05 [j_node_and_user_rematch]: 2.49e-05 [meta_fg_expand]: 0.00035773 [replace_old_param]: 3.317e-05 [inline_without_move]: 2.14e-05 [renormalize]: 0.0192159 [add_forward_monad_depend]: 1.398e-05 [auto_monad_grad]: 4.53999e-06 [auto_monad_eliminator]: 3.874e-05 [cse]: 7.34e-05 [replace_applicator]: 5.009e-05 [Cycle 3]: 0.00113849, [27] [switch_simplify]: 1.675e-05 [loop_unroll]: 1.53e-05 [a_1]: 0.00044721 [with_stream_mark]: 2.504e-05 [recompute_prepare]: 2.253e-05 [updatestate_depend_eliminate]: 1.065e-05 [updatestate_assign_eliminate]: 7.06001e-06 [updatestate_loads_eliminate]: 6.90002e-06 [parameter_eliminate]: 3.43e-06 [specialize_transform]: 2.05e-05 [updatestate_useless_node_eliminater]: 1.5e-05 [accelerated_algorithm]: 2.147e-05 [meta_shard_fg_expand]: 5.15999e-06 [get_grad_eliminate_]: 1.438e-05 [merge_forward]: 9.20999e-06 [cell_reuse_recompute_pass]: 1.37999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.011e-05 [j_node_and_user_rematch]: 2.57e-05 [meta_fg_expand]: 6.31998e-06 [replace_old_param]: 0.00015256 [inline_without_move]: 2.198e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 3.39001e-06 [auto_monad_grad]: 2.93e-06 [auto_monad_eliminator]: 2.213e-05 [cse]: 5.394e-05 [replace_applicator]: 2.271e-05 [py_interpret_to_execute_after_opt_a]: 3.03e-05 [rewriter_after_opt_a]: 0.00078874 [convert_after_rewriter]: 2.79e-05 [order_py_execute_after_rewriter]: 1.147e-05 [mutable_eliminate]: 0.0008406 [jit_opt_b]: 0.00040856, [2] [Cycle 1]: 0.0003512, [2] [frontend_op_eliminate]: 4.981e-05 [inline_after_opt_a]: 0.00028228 [Cycle 2]: 4.498e-05, [2] [frontend_op_eliminate]: 1.81e-05 [inline_after_opt_a]: 1.469e-05 [cconv]: 3.397e-05 [loop_unroll]: 0.00050606 [jit_opt_after_cconv]: 0.00018923, [1] [Cycle 1]: 0.0001821, [11] [c_1]: 2.935e-05 [parameter_eliminate]: 6.21e-06 [updatestate_depend_eliminate]: 8.74e-06 [updatestate_assign_eliminate]: 3.08e-06 [updatestate_loads_eliminate]: 2.54999e-06 [cse]: 3.597e-05 [call_graph_tuple_transform]: 2.301e-05 [tuple_list_get_item_eliminator]: 7.34002e-06 [none_parameter_eliminate]: 1.50999e-06 [renormalize]: 7.30011e-07 [switch_simplify]: 7.18e-06 [remove_dup_value]: 2.026e-05 [partial_unused_args_eliminate]: 2.43998e-06 [environ_conv]: 1.054e-05 [add_recomputation]: 6.172e-05 [cse_after_recomputation]: 2.832e-05, [1] [Cycle 1]: 2.024e-05, [1] [cse]: 1.37e-05 [auto_monad_reorder]: 1.601e-05 [get_jit_bprop_graph]: 1.81998e-06 [rewriter_after_jit_bprop_graph]: 8.29998e-06 [opt_after_jit_grad]: 0.00050258 [symbol_engine_optimizer]: 0.00014956, [1] [Cycle 1]: 0.00014094, [6] [build]: 4.48001e-06 [elim_shapecalc]: 9.51e-06 [elim_not_effective]: 1.548e-05 [opt_reshape]: 6.662e-05 [fold_const_symbol]: 1.136e-05 [renormalize]: 2.40019e-07 [validate]: 6.326e-05 [backend_pass]: 1.22e-06 [task_emit]: 0.0363238 [execute]: 1.135e-05 Sums bootstrap : 0.000982s : 0.07% type_inference : 0.830681s : 56.74% event_method : 0.000401s : 0.03% auto_monad : 0.000150s : 0.01% graph_reusing : 0.000010s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000057s : 0.00% rewriter_before_opt_a : 0.000147s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000330s : 0.02% jit_opt_a.loop_unroll : 0.000138s : 0.01% jit_opt_a.a_1 : 0.003307s : 0.23% jit_opt_a.with_stream_mark : 0.000104s : 0.01% jit_opt_a.recompute_prepare : 0.000075s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000030s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000020s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000018s : 0.00% jit_opt_a.parameter_eliminate : 0.000024s : 0.00% jit_opt_a.specialize_transform : 0.000109s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000048s : 0.00% jit_opt_a.accelerated_algorithm : 0.000113s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000020s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000042s : 0.00% jit_opt_a.merge_forward : 0.000045s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000007s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000102s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000070s : 0.00% jit_opt_a.meta_fg_expand : 0.000364s : 0.02% jit_opt_a.meta_fg_expand.resolve : 0.274037s : 18.72% jit_opt_a.replace_old_param : 0.000413s : 0.03% jit_opt_a.inline_without_move : 0.000370s : 0.03% jit_opt_a.renormalize : 0.309978s : 21.17% jit_opt_a.add_forward_monad_depend : 0.000054s : 0.00% jit_opt_a.auto_monad_grad : 0.001068s : 0.07% jit_opt_a.auto_monad_eliminator : 0.000145s : 0.01% jit_opt_a.cse : 0.000316s : 0.02% jit_opt_a.replace_applicator : 0.000248s : 0.02% py_interpret_to_execute_after_opt_a : 0.000030s : 0.00% rewriter_after_opt_a : 0.000789s : 0.05% convert_after_rewriter : 0.000028s : 0.00% order_py_execute_after_rewriter : 0.000011s : 0.00% mutable_eliminate : 0.000841s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000068s : 0.00% jit_opt_b.inline_after_opt_a : 0.000297s : 0.02% cconv : 0.000034s : 0.00% loop_unroll : 0.000506s : 0.03% 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 : 0.000009s : 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 : 0.000036s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000023s : 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 : 0.000020s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000011s : 0.00% add_recomputation : 0.000062s : 0.00% cse_after_recomputation.cse : 0.000014s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000503s : 0.03% 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 : 0.000067s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000063s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.036324s : 2.48% execute : 0.000011s : 0.00% Time group info: ------[substitution.] 0.273736 220 0.00% : 0.000004s : 2: substitution.elim_not_effective 0.00% : 0.000001s : 2: substitution.fold_const_symbol 99.47% : 0.272275s : 37: substitution.getattr_setattr_resolve 0.00% : 0.000007s : 4: substitution.graph_param_transform 0.31% : 0.000854s : 27: substitution.inline 0.05% : 0.000150s : 19: substitution.inline_without_move 0.01% : 0.000014s : 21: substitution.j_node_and_user_rematch 0.02% : 0.000053s : 4: substitution.less_batch_normalization 0.00% : 0.000009s : 4: substitution.minmaximum_grad 0.02% : 0.000057s : 1: substitution.opt_reshape 0.00% : 0.000003s : 2: substitution.partial_eliminate 0.01% : 0.000018s : 21: substitution.remove_not_recompute_node 0.03% : 0.000084s : 21: substitution.replace_applicator 0.01% : 0.000023s : 20: substitution.replace_old_param 0.00% : 0.000007s : 1: substitution.reset_defer_inline 0.01% : 0.000035s : 5: substitution.reshape_eliminate 0.00% : 0.000013s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.01% : 0.000018s : 4: substitution.switch_simplify 0.00% : 0.000011s : 1: substitution.transpose_eliminate 0.01% : 0.000019s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000013s : 4: substitution.tuple_list_get_item_depend_reorder 0.02% : 0.000060s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.830539 2 99.57% : 0.827006s : 1: type_inference.infer 0.43% : 0.003533s : 1: type_inference.specialize ------[replace.] 0.001105 65 65.83% : 0.000727s : 30: replace.getattr_setattr_resolve 21.29% : 0.000235s : 25: replace.inline 7.52% : 0.000083s : 4: replace.switch_simplify 0.56% : 0.000006s : 1: replace.transpose_eliminate 4.80% : 0.000053s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.272885 65 99.68% : 0.272008s : 30: match.getattr_setattr_resolve 0.30% : 0.000830s : 25: match.inline 0.00% : 0.000014s : 4: match.switch_simplify 0.00% : 0.000010s : 1: match.transpose_eliminate 0.01% : 0.000023s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000789 4204 1.10% : 0.000009s : 57: predicate.accumulaten_eliminater 0.22% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.98% : 0.000008s : 57: predicate.addn_check_dump 1.09% : 0.000009s : 57: predicate.addn_zero_filter 1.96% : 0.000015s : 57: predicate.arithmetic_simplify 1.16% : 0.000009s : 58: predicate.cast_eliminate 0.31% : 0.000002s : 16: predicate.check_bprop_eliminate 0.91% : 0.000007s : 57: predicate.compare_switch_simplify 0.95% : 0.000008s : 57: predicate.depend_value_elim 0.94% : 0.000007s : 58: predicate.dict_get_item_const_eliminator 1.20% : 0.000009s : 58: predicate.dict_get_item_eliminator 1.03% : 0.000008s : 58: predicate.dict_set_item_eliminator 0.18% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.06% : 0.000001s : 4: predicate.elim_not_effective 0.10% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.04% : 0.000008s : 58: predicate.environ_add_const_eliminate 0.93% : 0.000007s : 58: predicate.environ_get_add_eliminate 0.93% : 0.000007s : 58: predicate.environ_get_depend_swap 0.99% : 0.000008s : 58: predicate.environ_get_eliminate 0.96% : 0.000008s : 58: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 4: predicate.fold_const_symbol 0.82% : 0.000006s : 33: predicate.get_grad_eliminate 17.07% : 0.000135s : 336: predicate.getattr_setattr_resolve 0.05% : 0.000000s : 4: predicate.graph_param_transform 3.56% : 0.000028s : 111: predicate.inline 4.34% : 0.000034s : 177: predicate.inline_without_move 0.31% : 0.000002s : 33: predicate.j_node_and_user_rematch 1.54% : 0.000012s : 33: predicate.less_batch_normalization 1.29% : 0.000010s : 61: predicate.list_to_tuple_eliminator_ 1.19% : 0.000009s : 65: predicate.load_eliminater 0.23% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.70% : 0.000021s : 142: predicate.loop_unroll_before_grad 1.16% : 0.000009s : 62: predicate.make_slice_get_slice_eliminator 0.93% : 0.000007s : 57: predicate.merge_addn 0.98% : 0.000008s : 57: predicate.minmaximum_grad 0.65% : 0.000005s : 12: predicate.mutable_eliminate 0.15% : 0.000001s : 4: predicate.opt_reshape 1.46% : 0.000012s : 65: predicate.partial_eliminate 1.05% : 0.000008s : 57: predicate.print_const_string_wrapper 1.49% : 0.000012s : 58: predicate.reduce_eliminate 1.07% : 0.000008s : 61: predicate.redundant_stop_gradient_eliminater 0.46% : 0.000004s : 33: predicate.remove_not_recompute_node 2.11% : 0.000017s : 153: predicate.replace_applicator 1.99% : 0.000016s : 177: predicate.replace_old_param 0.33% : 0.000003s : 24: predicate.reset_defer_inline 1.20% : 0.000009s : 58: predicate.reshape_eliminate 1.06% : 0.000008s : 57: predicate.row_tensor_add_zeros_like 0.46% : 0.000004s : 16: predicate.row_tensor_eliminate 1.04% : 0.000008s : 57: predicate.same_eliminate 0.46% : 0.000004s : 33: predicate.set_cell_output_no_recompute 0.45% : 0.000004s : 20: predicate.special_op_eliminate 1.92% : 0.000015s : 33: predicate.specialize_transform 1.13% : 0.000009s : 57: predicate.split_environ_get_set_with_tuple_value 1.54% : 0.000012s : 57: predicate.stack_unstack_eliminate 0.08% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.30% : 0.000018s : 85: predicate.switch_defer_inline 1.66% : 0.000013s : 85: predicate.switch_layer_defer_inline 4.93% : 0.000039s : 239: predicate.switch_simplify 1.15% : 0.000009s : 58: predicate.tile_eliminate 1.11% : 0.000009s : 58: predicate.transpose_eliminate 1.29% : 0.000010s : 58: predicate.tuple_list_convert_item_index_to_positive 1.20% : 0.000009s : 58: predicate.tuple_list_get_item_depend_reorder 4.86% : 0.000038s : 93: predicate.tuple_list_get_item_eliminator 1.38% : 0.000011s : 58: predicate.tuple_list_set_item_eliminator 1.31% : 0.000010s : 61: predicate.tuple_to_list_eliminator_ 1.10% : 0.000009s : 65: predicate.updatestate_pure_node_eliminater 2.39% : 0.000019s : 98: predicate.updatestate_useless_node_eliminater 1.45% : 0.000011s : 57: predicate.value_based_eliminate 0.07% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.42% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.136520 79 97.85% : 0.133582s : 44: func_graph_cloner_run.FuncGraphClonerGraph 2.15% : 0.002938s : 35: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.199588 103 0.00% : 0.000065s : 1: add_recomputation 0.01% : 0.000157s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: backend_pass 0.05% : 0.001041s : 1: bootstrap 0.00% : 0.000037s : 1: cconv 0.00% : 0.000032s : 1: convert_after_rewriter 0.00% : 0.000031s : 1: cse_after_recomputation 0.00% : 0.000013s : 1: environ_conv 0.02% : 0.000418s : 1: event_method 0.00% : 0.000017s : 1: execute 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000004s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 33.52% : 0.737267s : 1: jit_opt_a 0.01% : 0.000192s : 1: jit_opt_after_cconv 0.02% : 0.000412s : 1: jit_opt_b 0.02% : 0.000516s : 1: loop_unroll 0.04% : 0.000852s : 1: mutable_eliminate 0.24% : 0.005272s : 39: opt.transform.jit_opt_a 0.00% : 0.000062s : 4: opt.transform.jit_opt_after_cconv 0.02% : 0.000339s : 14: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000033s : 1: opt.transform.mutable_eliminate 0.00% : 0.000028s : 1: opt.transform.opt_after_jit_grad 12.45% : 0.273788s : 2: opt.transform.opt_resolve 0.00% : 0.000100s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000512s : 1: opt_after_jit_grad 0.00% : 0.000014s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.00% : 0.000060s : 1: py_interpret_to_execute 0.00% : 0.000033s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000023s : 1: remove_dup_value 13.70% : 0.301292s : 2: renormalize.infer 0.39% : 0.008645s : 2: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.04% : 0.000798s : 1: rewriter_after_opt_a 0.01% : 0.000150s : 1: rewriter_before_opt_a 0.01% : 0.000152s : 1: symbol_engine_optimizer 1.65% : 0.036349s : 1: task_emit 37.77% : 0.830709s : 1: type_inference 0.00% : 0.000095s : 1: validate . [hook] pytest_runtest_teardown:test_reshape_vmap[8-KBK] tests/st/mint/test_reshape.py::test_reshape_vmap[8-KBK],max_mem:4.0M TotalTime = 1.70413, [33] [bootstrap]: 0.00081655 [type_inference]: 0.545262 [event_method]: 0.00038816 [auto_monad]: 0.00013873 [graph_reusing]: 9.84999e-06 [pre_auto_parallel]: 3.61999e-06 [py_interpret_to_execute]: 5.781e-05 [rewriter_before_opt_a]: 0.00014743 [expand_dump_flag]: 4.02002e-06 [jit_opt_a]: 1.14452, [3] [Cycle 1]: 0.998476, [27] [switch_simplify]: 0.00010825 [loop_unroll]: 5.927e-05 [a_1]: 0.00136393 [with_stream_mark]: 2.627e-05 [recompute_prepare]: 2.039e-05 [updatestate_depend_eliminate]: 7.12997e-06 [updatestate_assign_eliminate]: 4.68001e-06 [updatestate_loads_eliminate]: 4.17998e-06 [parameter_eliminate]: 3.18e-06 [specialize_transform]: 1.321e-05 [updatestate_useless_node_eliminater]: 1.127e-05 [accelerated_algorithm]: 1.237e-05 [meta_shard_fg_expand]: 4.95999e-06 [get_grad_eliminate_]: 1.238e-05 [merge_forward]: 5.00999e-06 [cell_reuse_recompute_pass]: 1.20999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.226e-05 [j_node_and_user_rematch]: 1.842e-05 [meta_fg_expand]: 0.361156, [1] [Cycle 1]: 0.216261, [1] [resolve]: 0.216206 [replace_old_param]: 0.00018169 [inline_without_move]: 0.00029125 [renormalize]: 0.617012 [add_forward_monad_depend]: 5.786e-05 [auto_monad_grad]: 0.00108519 [auto_monad_eliminator]: 9.09e-05 [cse]: 0.0002004 [replace_applicator]: 0.0001838 [Cycle 2]: 0.139612, [27] [switch_simplify]: 0.00020206 [loop_unroll]: 5.901e-05 [a_1]: 0.00158053 [with_stream_mark]: 4.039e-05 [recompute_prepare]: 4.991e-05 [updatestate_depend_eliminate]: 1.109e-05 [updatestate_assign_eliminate]: 7.63999e-06 [updatestate_loads_eliminate]: 7.16999e-06 [parameter_eliminate]: 3.89002e-06 [specialize_transform]: 2.629e-05 [updatestate_useless_node_eliminater]: 1.561e-05 [accelerated_algorithm]: 0.00014125 [meta_shard_fg_expand]: 1.03e-05 [get_grad_eliminate_]: 1.848e-05 [merge_forward]: 1.089e-05 [cell_reuse_recompute_pass]: 1.49998e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.0002352 [j_node_and_user_rematch]: 3.075e-05 [meta_fg_expand]: 0.0003457 [replace_old_param]: 3.658e-05 [inline_without_move]: 2.446e-05 [renormalize]: 0.136267 [add_forward_monad_depend]: 1.56e-05 [auto_monad_grad]: 5.24998e-06 [auto_monad_eliminator]: 3.938e-05 [cse]: 7.158e-05 [replace_applicator]: 5.064e-05 [Cycle 3]: 0.00141644, [27] [switch_simplify]: 1.648e-05 [loop_unroll]: 1.493e-05 [a_1]: 0.00043358 [with_stream_mark]: 2.576e-05 [recompute_prepare]: 2.277e-05 [updatestate_depend_eliminate]: 9.93002e-06 [updatestate_assign_eliminate]: 6.89999e-06 [updatestate_loads_eliminate]: 6.68e-06 [parameter_eliminate]: 3.07002e-06 [specialize_transform]: 1.902e-05 [updatestate_useless_node_eliminater]: 1.405e-05 [accelerated_algorithm]: 2.027e-05 [meta_shard_fg_expand]: 3.97002e-06 [get_grad_eliminate_]: 1.568e-05 [merge_forward]: 7.68999e-06 [cell_reuse_recompute_pass]: 1.07e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.013e-05 [j_node_and_user_rematch]: 2.361e-05 [meta_fg_expand]: 6.20002e-06 [replace_old_param]: 1.978e-05 [inline_without_move]: 0.00043398 [renormalize]: 3.9002e-07 [add_forward_monad_depend]: 6.53998e-06 [auto_monad_grad]: 3.65998e-06 [auto_monad_eliminator]: 2.823e-05 [cse]: 5.681e-05 [replace_applicator]: 2.447e-05 [py_interpret_to_execute_after_opt_a]: 2.999e-05 [rewriter_after_opt_a]: 0.0007595 [convert_after_rewriter]: 2.344e-05 [order_py_execute_after_rewriter]: 9.54e-06 [mutable_eliminate]: 0.00085684 [jit_opt_b]: 0.00042462, [2] [Cycle 1]: 0.00036604, [2] [frontend_op_eliminate]: 4.918e-05 [inline_after_opt_a]: 0.00029638 [Cycle 2]: 4.401e-05, [2] [frontend_op_eliminate]: 1.843e-05 [inline_after_opt_a]: 1.365e-05 [cconv]: 3.163e-05 [loop_unroll]: 0.00055577 [jit_opt_after_cconv]: 0.00020673, [1] [Cycle 1]: 0.00019875, [11] [c_1]: 2.901e-05 [parameter_eliminate]: 8.36002e-06 [updatestate_depend_eliminate]: 1.148e-05 [updatestate_assign_eliminate]: 4.45999e-06 [updatestate_loads_eliminate]: 3.23e-06 [cse]: 4.215e-05 [call_graph_tuple_transform]: 2.528e-05 [tuple_list_get_item_eliminator]: 9.04e-06 [none_parameter_eliminate]: 2.20002e-06 [renormalize]: 8.49977e-07 [switch_simplify]: 7.16999e-06 [remove_dup_value]: 1.949e-05 [partial_unused_args_eliminate]: 2.34001e-06 [environ_conv]: 1.159e-05 [add_recomputation]: 5.949e-05 [cse_after_recomputation]: 2.757e-05, [1] [Cycle 1]: 2.098e-05, [1] [cse]: 1.457e-05 [auto_monad_reorder]: 1.824e-05 [get_jit_bprop_graph]: 3.33e-06 [rewriter_after_jit_bprop_graph]: 8.82e-06 [opt_after_jit_grad]: 0.00054992 [symbol_engine_optimizer]: 9.38e-05, [1] [Cycle 1]: 8.524e-05, [6] [build]: 4.98001e-06 [elim_shapecalc]: 1.171e-05 [elim_not_effective]: 1.604e-05 [opt_reshape]: 1.078e-05 [fold_const_symbol]: 1.105e-05 [renormalize]: 6.39993e-07 [validate]: 5.704e-05 [backend_pass]: 1.22e-06 [task_emit]: 0.00868914 [execute]: 1.046e-05 Sums bootstrap : 0.000817s : 0.05% type_inference : 0.545262s : 35.48% event_method : 0.000388s : 0.03% auto_monad : 0.000139s : 0.01% graph_reusing : 0.000010s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000058s : 0.00% rewriter_before_opt_a : 0.000147s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000327s : 0.02% jit_opt_a.loop_unroll : 0.000133s : 0.01% jit_opt_a.a_1 : 0.003378s : 0.22% jit_opt_a.with_stream_mark : 0.000092s : 0.01% jit_opt_a.recompute_prepare : 0.000093s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000028s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000019s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000018s : 0.00% jit_opt_a.parameter_eliminate : 0.000010s : 0.00% jit_opt_a.specialize_transform : 0.000059s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000041s : 0.00% jit_opt_a.accelerated_algorithm : 0.000174s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000019s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000047s : 0.00% jit_opt_a.merge_forward : 0.000024s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000288s : 0.02% jit_opt_a.j_node_and_user_rematch : 0.000073s : 0.00% jit_opt_a.meta_fg_expand : 0.000352s : 0.02% jit_opt_a.meta_fg_expand.resolve : 0.216206s : 14.07% jit_opt_a.replace_old_param : 0.000238s : 0.02% jit_opt_a.inline_without_move : 0.000750s : 0.05% jit_opt_a.renormalize : 0.753279s : 49.02% jit_opt_a.add_forward_monad_depend : 0.000080s : 0.01% jit_opt_a.auto_monad_grad : 0.001094s : 0.07% jit_opt_a.auto_monad_eliminator : 0.000159s : 0.01% jit_opt_a.cse : 0.000329s : 0.02% jit_opt_a.replace_applicator : 0.000259s : 0.02% py_interpret_to_execute_after_opt_a : 0.000030s : 0.00% rewriter_after_opt_a : 0.000759s : 0.05% convert_after_rewriter : 0.000023s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000857s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000068s : 0.00% jit_opt_b.inline_after_opt_a : 0.000310s : 0.02% cconv : 0.000032s : 0.00% loop_unroll : 0.000556s : 0.04% jit_opt_after_cconv.c_1 : 0.000029s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000011s : 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 : 0.000042s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000025s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000009s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000012s : 0.00% add_recomputation : 0.000059s : 0.00% cse_after_recomputation.cse : 0.000015s : 0.00% auto_monad_reorder : 0.000018s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.000550s : 0.04% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000012s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000016s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000057s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.008689s : 0.57% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 0.216166 220 0.00% : 0.000003s : 2: substitution.elim_not_effective 0.00% : 0.000002s : 2: substitution.fold_const_symbol 99.24% : 0.214526s : 37: substitution.getattr_setattr_resolve 0.00% : 0.000007s : 4: substitution.graph_param_transform 0.42% : 0.000910s : 27: substitution.inline 0.06% : 0.000137s : 19: substitution.inline_without_move 0.01% : 0.000013s : 21: substitution.j_node_and_user_rematch 0.03% : 0.000058s : 4: substitution.less_batch_normalization 0.00% : 0.000010s : 4: substitution.minmaximum_grad 0.00% : 0.000001s : 1: substitution.opt_reshape 0.00% : 0.000003s : 2: substitution.partial_eliminate 0.10% : 0.000207s : 21: substitution.remove_not_recompute_node 0.04% : 0.000086s : 21: substitution.replace_applicator 0.01% : 0.000022s : 20: substitution.replace_old_param 0.00% : 0.000008s : 1: substitution.reset_defer_inline 0.02% : 0.000034s : 5: substitution.reshape_eliminate 0.01% : 0.000013s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.01% : 0.000017s : 4: substitution.switch_simplify 0.00% : 0.000010s : 1: substitution.transpose_eliminate 0.01% : 0.000019s : 4: substitution.tuple_list_convert_item_index_to_positive 0.01% : 0.000014s : 4: substitution.tuple_list_get_item_depend_reorder 0.03% : 0.000061s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.545123 2 99.41% : 0.541894s : 1: type_inference.infer 0.59% : 0.003229s : 1: type_inference.specialize ------[replace.] 0.001095 65 63.31% : 0.000693s : 30: replace.getattr_setattr_resolve 22.80% : 0.000250s : 25: replace.inline 8.42% : 0.000092s : 4: replace.switch_simplify 0.85% : 0.000009s : 1: replace.transpose_eliminate 4.63% : 0.000051s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.215223 65 99.57% : 0.214294s : 30: match.getattr_setattr_resolve 0.41% : 0.000883s : 25: match.inline 0.01% : 0.000014s : 4: match.switch_simplify 0.00% : 0.000009s : 1: match.transpose_eliminate 0.01% : 0.000023s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000787 4204 0.99% : 0.000008s : 57: predicate.accumulaten_eliminater 0.25% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.94% : 0.000007s : 57: predicate.addn_check_dump 1.08% : 0.000008s : 57: predicate.addn_zero_filter 1.50% : 0.000012s : 57: predicate.arithmetic_simplify 1.05% : 0.000008s : 58: predicate.cast_eliminate 0.37% : 0.000003s : 16: predicate.check_bprop_eliminate 0.96% : 0.000008s : 57: predicate.compare_switch_simplify 1.03% : 0.000008s : 57: predicate.depend_value_elim 0.99% : 0.000008s : 58: predicate.dict_get_item_const_eliminator 1.08% : 0.000008s : 58: predicate.dict_get_item_eliminator 1.00% : 0.000008s : 58: predicate.dict_set_item_eliminator 0.19% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.09% : 0.000001s : 4: predicate.elim_not_effective 0.14% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.03% : 0.000008s : 58: predicate.environ_add_const_eliminate 1.00% : 0.000008s : 58: predicate.environ_get_add_eliminate 0.97% : 0.000008s : 58: predicate.environ_get_depend_swap 0.96% : 0.000008s : 58: predicate.environ_get_eliminate 0.94% : 0.000007s : 58: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 4: predicate.fold_const_symbol 0.83% : 0.000007s : 33: predicate.get_grad_eliminate 16.78% : 0.000132s : 336: predicate.getattr_setattr_resolve 0.05% : 0.000000s : 4: predicate.graph_param_transform 3.72% : 0.000029s : 111: predicate.inline 4.44% : 0.000035s : 177: predicate.inline_without_move 0.32% : 0.000003s : 33: predicate.j_node_and_user_rematch 1.07% : 0.000008s : 33: predicate.less_batch_normalization 1.15% : 0.000009s : 61: predicate.list_to_tuple_eliminator_ 1.15% : 0.000009s : 65: predicate.load_eliminater 0.37% : 0.000003s : 4: predicate.loop_unroll_after_grad 2.80% : 0.000022s : 142: predicate.loop_unroll_before_grad 1.18% : 0.000009s : 62: predicate.make_slice_get_slice_eliminator 0.91% : 0.000007s : 57: predicate.merge_addn 0.96% : 0.000008s : 57: predicate.minmaximum_grad 0.78% : 0.000006s : 12: predicate.mutable_eliminate 0.15% : 0.000001s : 4: predicate.opt_reshape 1.50% : 0.000012s : 65: predicate.partial_eliminate 1.03% : 0.000008s : 57: predicate.print_const_string_wrapper 1.33% : 0.000010s : 58: predicate.reduce_eliminate 1.10% : 0.000009s : 61: predicate.redundant_stop_gradient_eliminater 0.43% : 0.000003s : 33: predicate.remove_not_recompute_node 2.13% : 0.000017s : 153: predicate.replace_applicator 1.80% : 0.000014s : 177: predicate.replace_old_param 0.33% : 0.000003s : 24: predicate.reset_defer_inline 1.12% : 0.000009s : 58: predicate.reshape_eliminate 1.07% : 0.000008s : 57: predicate.row_tensor_add_zeros_like 0.45% : 0.000004s : 16: predicate.row_tensor_eliminate 0.97% : 0.000008s : 57: predicate.same_eliminate 0.44% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.44% : 0.000003s : 20: predicate.special_op_eliminate 0.75% : 0.000006s : 33: predicate.specialize_transform 1.35% : 0.000011s : 57: predicate.split_environ_get_set_with_tuple_value 1.04% : 0.000008s : 57: predicate.stack_unstack_eliminate 0.10% : 0.000001s : 4: predicate.switch_call_monad_eliminater 7.42% : 0.000058s : 85: predicate.switch_defer_inline 1.66% : 0.000013s : 85: predicate.switch_layer_defer_inline 5.46% : 0.000043s : 239: predicate.switch_simplify 1.08% : 0.000008s : 58: predicate.tile_eliminate 1.12% : 0.000009s : 58: predicate.transpose_eliminate 1.24% : 0.000010s : 58: predicate.tuple_list_convert_item_index_to_positive 1.19% : 0.000009s : 58: predicate.tuple_list_get_item_depend_reorder 2.69% : 0.000021s : 93: predicate.tuple_list_get_item_eliminator 1.38% : 0.000011s : 58: predicate.tuple_list_set_item_eliminator 1.23% : 0.000010s : 61: predicate.tuple_to_list_eliminator_ 1.06% : 0.000008s : 65: predicate.updatestate_pure_node_eliminater 2.03% : 0.000016s : 98: predicate.updatestate_useless_node_eliminater 1.30% : 0.000010s : 57: predicate.value_based_eliminate 0.06% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.46% : 0.000004s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.009495 79 67.87% : 0.006444s : 44: func_graph_cloner_run.FuncGraphClonerGraph 32.13% : 0.003051s : 35: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.679589 103 0.00% : 0.000063s : 1: add_recomputation 0.01% : 0.000146s : 1: auto_monad 0.00% : 0.000021s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.03% : 0.000846s : 1: bootstrap 0.00% : 0.000034s : 1: cconv 0.00% : 0.000027s : 1: convert_after_rewriter 0.00% : 0.000030s : 1: cse_after_recomputation 0.00% : 0.000015s : 1: environ_conv 0.01% : 0.000399s : 1: event_method 0.00% : 0.000017s : 1: execute 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000013s : 1: graph_reusing 42.71% : 1.144526s : 1: jit_opt_a 0.01% : 0.000211s : 1: jit_opt_after_cconv 0.02% : 0.000428s : 1: jit_opt_b 0.02% : 0.000568s : 1: loop_unroll 0.03% : 0.000868s : 1: mutable_eliminate 0.22% : 0.005782s : 39: opt.transform.jit_opt_a 0.00% : 0.000066s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000350s : 14: opt.transform.jit_opt_b 0.00% : 0.000017s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000035s : 1: opt.transform.mutable_eliminate 0.00% : 0.000031s : 1: opt.transform.opt_after_jit_grad 8.06% : 0.215956s : 2: opt.transform.opt_resolve 0.00% : 0.000046s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000561s : 1: opt_after_jit_grad 0.00% : 0.000012s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.00% : 0.000061s : 1: py_interpret_to_execute 0.00% : 0.000033s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 27.75% : 0.743521s : 2: renormalize.infer 0.36% : 0.009716s : 2: renormalize.specialize 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000768s : 1: rewriter_after_opt_a 0.01% : 0.000152s : 1: rewriter_before_opt_a 0.00% : 0.000098s : 1: symbol_engine_optimizer 0.33% : 0.008710s : 1: task_emit 20.35% : 0.545293s : 1: type_inference 0.00% : 0.000110s : 1: validate . [hook] pytest_runtest_teardown:test_reshape_vmap[16-pynative] tests/st/mint/test_reshape.py::test_reshape_vmap[16-pynative],max_mem:4.0M [WARNING] ME(167441:281473617391408,MainProcess):2026-01-29-17:41:27.137.754 [mindspore/graph/api.py:1147] The func .after_vmap at 0xfffee402a550> should be wrapped by jit only once. [WARNING] ME(167441:281473617391408,MainProcess):2026-01-29-17:41:27.139.421 [mindspore/graph/api.py:128] The function "after_vmap" at the file "/home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/graph/api.py", line 1152 has been compiled again. Try to reuse the function object decorated by @jit to reduce the compile time. For more details, get instructions about `jit` at https://www.mindspore.cn/search?inputValue=jit. TotalTime = 2.44435, [33] [bootstrap]: 0.00074156 [type_inference]: 0.807729 [event_method]: 0.00057026 [auto_monad]: 0.00013984 [graph_reusing]: 9.27999e-06 [pre_auto_parallel]: 3.63999e-06 [py_interpret_to_execute]: 7.573e-05 [rewriter_before_opt_a]: 0.00014809 [expand_dump_flag]: 4.48999e-06 [jit_opt_a]: 1.55602, [3] [Cycle 1]: 1.16985, [27] [switch_simplify]: 0.0001206 [loop_unroll]: 6.401e-05 [a_1]: 0.0013503 [with_stream_mark]: 3.839e-05 [recompute_prepare]: 2.646e-05 [updatestate_depend_eliminate]: 8.85001e-06 [updatestate_assign_eliminate]: 6.64999e-06 [updatestate_loads_eliminate]: 5.49e-06 [parameter_eliminate]: 3.43e-06 [specialize_transform]: 1.385e-05 [updatestate_useless_node_eliminater]: 1.069e-05 [accelerated_algorithm]: 1.234e-05 [meta_shard_fg_expand]: 4.42e-06 [get_grad_eliminate_]: 1.089e-05 [merge_forward]: 6.12001e-06 [cell_reuse_recompute_pass]: 1.20001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.571e-05 [j_node_and_user_rematch]: 1.955e-05 [meta_fg_expand]: 0.319571, [1] [Cycle 1]: 0.308815, [1] [resolve]: 0.308767 [replace_old_param]: 0.00018612 [inline_without_move]: 0.00028953 [renormalize]: 0.84619 [add_forward_monad_depend]: 3.769e-05 [auto_monad_grad]: 0.00103028 [auto_monad_eliminator]: 8.358e-05 [cse]: 0.00018879 [replace_applicator]: 0.00017985 [Cycle 2]: 0.00878062, [27] [switch_simplify]: 0.0001881 [loop_unroll]: 5.849e-05 [a_1]: 0.00176881 [with_stream_mark]: 3.899e-05 [recompute_prepare]: 3.123e-05 [updatestate_depend_eliminate]: 1.087e-05 [updatestate_assign_eliminate]: 7.55998e-06 [updatestate_loads_eliminate]: 7.02002e-06 [parameter_eliminate]: 3.81999e-06 [specialize_transform]: 2.481e-05 [updatestate_useless_node_eliminater]: 1.505e-05 [accelerated_algorithm]: 7.496e-05 [meta_shard_fg_expand]: 7.51001e-06 [get_grad_eliminate_]: 2.774e-05 [merge_forward]: 1.717e-05 [cell_reuse_recompute_pass]: 1.34e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.404e-05 [j_node_and_user_rematch]: 2.499e-05 [meta_fg_expand]: 0.00034764 [replace_old_param]: 3.372e-05 [inline_without_move]: 2.127e-05 [renormalize]: 0.00561858 [add_forward_monad_depend]: 1.388e-05 [auto_monad_grad]: 4.79002e-06 [auto_monad_eliminator]: 3.336e-05 [cse]: 6.744e-05 [replace_applicator]: 4.582e-05 [Cycle 3]: 0.184712, [27] [switch_simplify]: 1.639e-05 [loop_unroll]: 1.505e-05 [a_1]: 0.183956 [with_stream_mark]: 8.764e-05 [recompute_prepare]: 4.241e-05 [updatestate_depend_eliminate]: 1.51e-05 [updatestate_assign_eliminate]: 7.48999e-06 [updatestate_loads_eliminate]: 7.2e-06 [parameter_eliminate]: 5.09e-06 [specialize_transform]: 2.662e-05 [updatestate_useless_node_eliminater]: 1.655e-05 [accelerated_algorithm]: 2.292e-05 [meta_shard_fg_expand]: 9.34998e-06 [get_grad_eliminate_]: 1.414e-05 [merge_forward]: 8.75001e-06 [cell_reuse_recompute_pass]: 1.17e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.204e-05 [j_node_and_user_rematch]: 2.516e-05 [meta_fg_expand]: 6.19001e-06 [replace_old_param]: 2.334e-05 [inline_without_move]: 2.106e-05 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 5.29998e-06 [auto_monad_grad]: 4.72e-06 [auto_monad_eliminator]: 3.187e-05 [cse]: 8.189e-05 [replace_applicator]: 2.231e-05 [py_interpret_to_execute_after_opt_a]: 3.036e-05 [rewriter_after_opt_a]: 0.00128133 [convert_after_rewriter]: 2.7e-05 [order_py_execute_after_rewriter]: 1.008e-05 [mutable_eliminate]: 0.00086542 [jit_opt_b]: 0.00041857, [2] [Cycle 1]: 0.00035879, [2] [frontend_op_eliminate]: 4.828e-05 [inline_after_opt_a]: 0.00028987 [Cycle 2]: 4.365e-05, [2] [frontend_op_eliminate]: 1.749e-05 [inline_after_opt_a]: 1.413e-05 [cconv]: 3.006e-05 [loop_unroll]: 0.00056974 [jit_opt_after_cconv]: 0.0002223, [1] [Cycle 1]: 0.00021376, [11] [c_1]: 3.037e-05 [parameter_eliminate]: 7.52998e-06 [updatestate_depend_eliminate]: 9.33002e-06 [updatestate_assign_eliminate]: 4.80001e-06 [updatestate_loads_eliminate]: 2.81e-06 [cse]: 5.657e-05 [call_graph_tuple_transform]: 2.624e-05 [tuple_list_get_item_eliminator]: 8.07e-06 [none_parameter_eliminate]: 1.83997e-06 [renormalize]: 6.80011e-07 [switch_simplify]: 7.96001e-06 [remove_dup_value]: 2.044e-05 [partial_unused_args_eliminate]: 2.36e-06 [environ_conv]: 1.268e-05 [add_recomputation]: 0.00483035 [cse_after_recomputation]: 8.435e-05, [1] [Cycle 1]: 6.959e-05, [1] [cse]: 4.65e-05 [auto_monad_reorder]: 2.477e-05 [get_jit_bprop_graph]: 4.75999e-06 [rewriter_after_jit_bprop_graph]: 1.264e-05 [opt_after_jit_grad]: 0.00084305 [symbol_engine_optimizer]: 0.00220914, [1] [Cycle 1]: 0.00219719, [6] [build]: 5.49998e-06 [elim_shapecalc]: 1.143e-05 [elim_not_effective]: 2.316e-05 [opt_reshape]: 0.0020817 [fold_const_symbol]: 2.178e-05 [renormalize]: 1.15001e-06 [validate]: 6.841e-05 [backend_pass]: 1.55999e-06 [task_emit]: 0.0669426 [execute]: 9.87999e-06 Sums bootstrap : 0.000742s : 0.03% type_inference : 0.807729s : 36.07% event_method : 0.000570s : 0.03% auto_monad : 0.000140s : 0.01% graph_reusing : 0.000009s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000076s : 0.00% rewriter_before_opt_a : 0.000148s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000325s : 0.01% jit_opt_a.loop_unroll : 0.000138s : 0.01% jit_opt_a.a_1 : 0.187076s : 8.35% jit_opt_a.with_stream_mark : 0.000165s : 0.01% jit_opt_a.recompute_prepare : 0.000100s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000035s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000022s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000020s : 0.00% jit_opt_a.parameter_eliminate : 0.000012s : 0.00% jit_opt_a.specialize_transform : 0.000065s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000042s : 0.00% jit_opt_a.accelerated_algorithm : 0.000110s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000021s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000053s : 0.00% jit_opt_a.merge_forward : 0.000032s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000092s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000070s : 0.00% jit_opt_a.meta_fg_expand : 0.000354s : 0.02% jit_opt_a.meta_fg_expand.resolve : 0.308767s : 13.79% jit_opt_a.replace_old_param : 0.000243s : 0.01% jit_opt_a.inline_without_move : 0.000332s : 0.01% jit_opt_a.renormalize : 0.851808s : 38.04% jit_opt_a.add_forward_monad_depend : 0.000057s : 0.00% jit_opt_a.auto_monad_grad : 0.001040s : 0.05% jit_opt_a.auto_monad_eliminator : 0.000149s : 0.01% jit_opt_a.cse : 0.000338s : 0.02% jit_opt_a.replace_applicator : 0.000248s : 0.01% py_interpret_to_execute_after_opt_a : 0.000030s : 0.00% rewriter_after_opt_a : 0.001281s : 0.06% convert_after_rewriter : 0.000027s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000865s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000066s : 0.00% jit_opt_b.inline_after_opt_a : 0.000304s : 0.01% cconv : 0.000030s : 0.00% loop_unroll : 0.000570s : 0.03% jit_opt_after_cconv.c_1 : 0.000030s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000057s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000026s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000008s : 0.00% remove_dup_value : 0.000020s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000013s : 0.00% add_recomputation : 0.004830s : 0.22% cse_after_recomputation.cse : 0.000047s : 0.00% auto_monad_reorder : 0.000025s : 0.00% get_jit_bprop_graph : 0.000005s : 0.00% rewriter_after_jit_bprop_graph : 0.000013s : 0.00% opt_after_jit_grad : 0.000843s : 0.04% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000023s : 0.00% symbol_engine_optimizer.opt_reshape : 0.002082s : 0.09% symbol_engine_optimizer.fold_const_symbol : 0.000022s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000068s : 0.00% backend_pass : 0.000002s : 0.00% task_emit : 0.066943s : 2.99% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 0.308546 220 0.00% : 0.000004s : 2: substitution.elim_not_effective 0.00% : 0.000002s : 2: substitution.fold_const_symbol 99.49% : 0.306966s : 37: substitution.getattr_setattr_resolve 0.00% : 0.000007s : 4: substitution.graph_param_transform 0.30% : 0.000922s : 27: substitution.inline 0.04% : 0.000133s : 19: substitution.inline_without_move 0.00% : 0.000013s : 21: substitution.j_node_and_user_rematch 0.02% : 0.000055s : 4: substitution.less_batch_normalization 0.00% : 0.000012s : 4: substitution.minmaximum_grad 0.00% : 0.000002s : 1: substitution.opt_reshape 0.00% : 0.000004s : 2: substitution.partial_eliminate 0.01% : 0.000018s : 21: substitution.remove_not_recompute_node 0.03% : 0.000084s : 21: substitution.replace_applicator 0.01% : 0.000023s : 20: substitution.replace_old_param 0.00% : 0.000008s : 1: substitution.reset_defer_inline 0.01% : 0.000033s : 5: substitution.reshape_eliminate 0.00% : 0.000015s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000009s : 2: substitution.specialize_transform 0.01% : 0.000017s : 4: substitution.switch_simplify 0.00% : 0.000009s : 1: substitution.transpose_eliminate 0.01% : 0.000024s : 4: substitution.tuple_list_convert_item_index_to_positive 0.03% : 0.000103s : 4: substitution.tuple_list_get_item_depend_reorder 0.03% : 0.000085s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.807589 2 99.46% : 0.803194s : 1: type_inference.infer 0.54% : 0.004395s : 1: type_inference.specialize ------[replace.] 0.001159 65 65.46% : 0.000758s : 30: replace.getattr_setattr_resolve 22.39% : 0.000259s : 25: replace.inline 7.40% : 0.000086s : 4: replace.switch_simplify 0.54% : 0.000006s : 1: replace.transpose_eliminate 4.20% : 0.000049s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.307668 65 99.69% : 0.306727s : 30: match.getattr_setattr_resolve 0.29% : 0.000895s : 25: match.inline 0.00% : 0.000013s : 4: match.switch_simplify 0.00% : 0.000009s : 1: match.transpose_eliminate 0.01% : 0.000024s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000786 4204 1.10% : 0.000009s : 57: predicate.accumulaten_eliminater 0.25% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.99% : 0.000008s : 57: predicate.addn_check_dump 1.04% : 0.000008s : 57: predicate.addn_zero_filter 1.57% : 0.000012s : 57: predicate.arithmetic_simplify 1.16% : 0.000009s : 58: predicate.cast_eliminate 0.32% : 0.000003s : 16: predicate.check_bprop_eliminate 0.98% : 0.000008s : 57: predicate.compare_switch_simplify 1.06% : 0.000008s : 57: predicate.depend_value_elim 0.99% : 0.000008s : 58: predicate.dict_get_item_const_eliminator 1.13% : 0.000009s : 58: predicate.dict_get_item_eliminator 1.02% : 0.000008s : 58: predicate.dict_set_item_eliminator 0.21% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.12% : 0.000001s : 4: predicate.elim_not_effective 0.11% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.12% : 0.000009s : 58: predicate.environ_add_const_eliminate 1.16% : 0.000009s : 58: predicate.environ_get_add_eliminate 1.05% : 0.000008s : 58: predicate.environ_get_depend_swap 1.33% : 0.000010s : 58: predicate.environ_get_eliminate 0.97% : 0.000008s : 58: predicate.environ_get_set_eliminate 0.10% : 0.000001s : 4: predicate.fold_const_symbol 0.73% : 0.000006s : 33: predicate.get_grad_eliminate 18.11% : 0.000142s : 336: predicate.getattr_setattr_resolve 0.06% : 0.000000s : 4: predicate.graph_param_transform 3.67% : 0.000029s : 111: predicate.inline 3.98% : 0.000031s : 177: predicate.inline_without_move 0.37% : 0.000003s : 33: predicate.j_node_and_user_rematch 1.03% : 0.000008s : 33: predicate.less_batch_normalization 1.20% : 0.000009s : 61: predicate.list_to_tuple_eliminator_ 2.06% : 0.000016s : 65: predicate.load_eliminater 0.26% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.75% : 0.000022s : 142: predicate.loop_unroll_before_grad 1.22% : 0.000010s : 62: predicate.make_slice_get_slice_eliminator 0.94% : 0.000007s : 57: predicate.merge_addn 1.07% : 0.000008s : 57: predicate.minmaximum_grad 0.64% : 0.000005s : 12: predicate.mutable_eliminate 0.58% : 0.000005s : 4: predicate.opt_reshape 1.64% : 0.000013s : 65: predicate.partial_eliminate 1.09% : 0.000009s : 57: predicate.print_const_string_wrapper 1.69% : 0.000013s : 58: predicate.reduce_eliminate 1.14% : 0.000009s : 61: predicate.redundant_stop_gradient_eliminater 0.38% : 0.000003s : 33: predicate.remove_not_recompute_node 2.16% : 0.000017s : 153: predicate.replace_applicator 1.89% : 0.000015s : 177: predicate.replace_old_param 0.36% : 0.000003s : 24: predicate.reset_defer_inline 1.19% : 0.000009s : 58: predicate.reshape_eliminate 1.10% : 0.000009s : 57: predicate.row_tensor_add_zeros_like 0.39% : 0.000003s : 16: predicate.row_tensor_eliminate 1.08% : 0.000009s : 57: predicate.same_eliminate 0.48% : 0.000004s : 33: predicate.set_cell_output_no_recompute 0.48% : 0.000004s : 20: predicate.special_op_eliminate 0.81% : 0.000006s : 33: predicate.specialize_transform 1.29% : 0.000010s : 57: predicate.split_environ_get_set_with_tuple_value 1.00% : 0.000008s : 57: predicate.stack_unstack_eliminate 0.08% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.36% : 0.000019s : 85: predicate.switch_defer_inline 1.72% : 0.000014s : 85: predicate.switch_layer_defer_inline 5.22% : 0.000041s : 239: predicate.switch_simplify 1.11% : 0.000009s : 58: predicate.tile_eliminate 1.20% : 0.000009s : 58: predicate.transpose_eliminate 1.44% : 0.000011s : 58: predicate.tuple_list_convert_item_index_to_positive 1.20% : 0.000009s : 58: predicate.tuple_list_get_item_depend_reorder 3.41% : 0.000027s : 93: predicate.tuple_list_get_item_eliminator 1.47% : 0.000012s : 58: predicate.tuple_list_set_item_eliminator 1.23% : 0.000010s : 61: predicate.tuple_to_list_eliminator_ 1.07% : 0.000008s : 65: predicate.updatestate_pure_node_eliminater 1.99% : 0.000016s : 98: predicate.updatestate_useless_node_eliminater 1.42% : 0.000011s : 57: predicate.value_based_eliminate 0.08% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.41% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.022742 79 86.53% : 0.019678s : 44: func_graph_cloner_run.FuncGraphClonerGraph 13.47% : 0.003064s : 35: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.796005 103 0.13% : 0.004857s : 1: add_recomputation 0.00% : 0.000146s : 1: auto_monad 0.00% : 0.000028s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.02% : 0.000777s : 1: bootstrap 0.00% : 0.000033s : 1: cconv 0.00% : 0.000031s : 1: convert_after_rewriter 0.00% : 0.000089s : 1: cse_after_recomputation 0.00% : 0.000016s : 1: environ_conv 0.02% : 0.000585s : 1: event_method 0.00% : 0.000015s : 1: execute 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 40.99% : 1.556029s : 1: jit_opt_a 0.01% : 0.000226s : 1: jit_opt_after_cconv 0.01% : 0.000422s : 1: jit_opt_b 0.02% : 0.000581s : 1: loop_unroll 0.02% : 0.000877s : 1: mutable_eliminate 4.97% : 0.188812s : 39: opt.transform.jit_opt_a 0.00% : 0.000068s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000344s : 14: opt.transform.jit_opt_b 0.00% : 0.000017s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000045s : 1: opt.transform.mutable_eliminate 0.00% : 0.000038s : 1: opt.transform.opt_after_jit_grad 8.13% : 0.308505s : 2: opt.transform.opt_resolve 0.06% : 0.002131s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000856s : 1: opt_after_jit_grad 0.00% : 0.000012s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.00% : 0.000081s : 1: py_interpret_to_execute 0.00% : 0.000033s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000023s : 1: remove_dup_value 22.18% : 0.841869s : 2: renormalize.infer 0.26% : 0.009903s : 2: renormalize.specialize 0.00% : 0.000015s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.001293s : 1: rewriter_after_opt_a 0.00% : 0.000153s : 1: rewriter_before_opt_a 0.06% : 0.002216s : 1: symbol_engine_optimizer 1.76% : 0.066962s : 1: task_emit 21.28% : 0.807760s : 1: type_inference 0.00% : 0.000114s : 1: validate . [hook] pytest_runtest_teardown:test_reshape_vmap[16-KBK] tests/st/mint/test_reshape.py::test_reshape_vmap[16-KBK],max_mem:4.0M TotalTime = 2.02132, [33] [bootstrap]: 0.0011311 [type_inference]: 0.921279 [event_method]: 0.0005686 [auto_monad]: 0.00013907 [graph_reusing]: 1.113e-05 [pre_auto_parallel]: 3.97998e-06 [py_interpret_to_execute]: 5.415e-05 [rewriter_before_opt_a]: 0.00014794 [expand_dump_flag]: 3.75998e-06 [jit_opt_a]: 1.02549, [3] [Cycle 1]: 1.011, [27] [switch_simplify]: 0.00011506 [loop_unroll]: 5.883e-05 [a_1]: 0.00142181 [with_stream_mark]: 3.962e-05 [recompute_prepare]: 2.821e-05 [updatestate_depend_eliminate]: 8.77e-06 [updatestate_assign_eliminate]: 6.47001e-06 [updatestate_loads_eliminate]: 5.25999e-06 [parameter_eliminate]: 3.81001e-06 [specialize_transform]: 1.385e-05 [updatestate_useless_node_eliminater]: 1.191e-05 [accelerated_algorithm]: 1.312e-05 [meta_shard_fg_expand]: 4.12e-06 [get_grad_eliminate_]: 1.095e-05 [merge_forward]: 6.13998e-06 [cell_reuse_recompute_pass]: 1.12e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.789e-05 [j_node_and_user_rematch]: 1.913e-05 [meta_fg_expand]: 0.339759, [1] [Cycle 1]: 0.175149, [1] [resolve]: 0.175096 [replace_old_param]: 0.00019148 [inline_without_move]: 0.00029601 [renormalize]: 0.612045 [add_forward_monad_depend]: 5.872e-05 [auto_monad_grad]: 0.00109515 [auto_monad_eliminator]: 7.959e-05 [cse]: 0.00018384 [replace_applicator]: 0.00016452 [Cycle 2]: 0.00798815, [27] [switch_simplify]: 0.00018164 [loop_unroll]: 5.762e-05 [a_1]: 0.00149947 [with_stream_mark]: 3.235e-05 [recompute_prepare]: 2.574e-05 [updatestate_depend_eliminate]: 1.009e-05 [updatestate_assign_eliminate]: 7.28e-06 [updatestate_loads_eliminate]: 6.73e-06 [parameter_eliminate]: 3.38999e-06 [specialize_transform]: 2.304e-05 [updatestate_useless_node_eliminater]: 1.511e-05 [accelerated_algorithm]: 6.562e-05 [meta_shard_fg_expand]: 7.54002e-06 [get_grad_eliminate_]: 1.493e-05 [merge_forward]: 8.50001e-06 [cell_reuse_recompute_pass]: 9.70002e-07 [cell_reuse_handle_not_recompute_node_pass]: 3.254e-05 [j_node_and_user_rematch]: 2.422e-05 [meta_fg_expand]: 0.00034583 [replace_old_param]: 2.827e-05 [inline_without_move]: 2.077e-05 [renormalize]: 0.00518504 [add_forward_monad_depend]: 1.487e-05 [auto_monad_grad]: 4.32e-06 [auto_monad_eliminator]: 2.955e-05 [cse]: 6.898e-05 [replace_applicator]: 4.535e-05 [Cycle 3]: 0.00094843, [27] [switch_simplify]: 1.698e-05 [loop_unroll]: 1.529e-05 [a_1]: 0.00044394 [with_stream_mark]: 2.286e-05 [recompute_prepare]: 2.179e-05 [updatestate_depend_eliminate]: 9.71e-06 [updatestate_assign_eliminate]: 7.1e-06 [updatestate_loads_eliminate]: 6.96999e-06 [parameter_eliminate]: 3.4e-06 [specialize_transform]: 2.218e-05 [updatestate_useless_node_eliminater]: 1.446e-05 [accelerated_algorithm]: 2.119e-05 [meta_shard_fg_expand]: 4.36002e-06 [get_grad_eliminate_]: 1.419e-05 [merge_forward]: 7.71001e-06 [cell_reuse_recompute_pass]: 1.25999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.995e-05 [j_node_and_user_rematch]: 2.6e-05 [meta_fg_expand]: 6.19001e-06 [replace_old_param]: 1.984e-05 [inline_without_move]: 1.787e-05 [renormalize]: 7.99773e-08 [add_forward_monad_depend]: 2.09e-06 [auto_monad_grad]: 2.39999e-06 [auto_monad_eliminator]: 1.722e-05 [cse]: 4.123e-05 [replace_applicator]: 1.76e-05 [py_interpret_to_execute_after_opt_a]: 2.1e-05 [rewriter_after_opt_a]: 0.00075466 [convert_after_rewriter]: 2.509e-05 [order_py_execute_after_rewriter]: 1.054e-05 [mutable_eliminate]: 0.0008056 [jit_opt_b]: 0.00038594, [2] [Cycle 1]: 0.00032989, [2] [frontend_op_eliminate]: 4.923e-05 [inline_after_opt_a]: 0.00026218 [Cycle 2]: 4.124e-05, [2] [frontend_op_eliminate]: 1.619e-05 [inline_after_opt_a]: 1.397e-05 [cconv]: 2.778e-05 [loop_unroll]: 0.00071133 [jit_opt_after_cconv]: 0.00018941, [1] [Cycle 1]: 0.00018274, [11] [c_1]: 3.196e-05 [parameter_eliminate]: 6.06e-06 [updatestate_depend_eliminate]: 8.61002e-06 [updatestate_assign_eliminate]: 4.17998e-06 [updatestate_loads_eliminate]: 3.28e-06 [cse]: 3.339e-05 [call_graph_tuple_transform]: 2.295e-05 [tuple_list_get_item_eliminator]: 8.33999e-06 [none_parameter_eliminate]: 1.39e-06 [renormalize]: 3.00002e-07 [switch_simplify]: 6.66e-06 [remove_dup_value]: 1.728e-05 [partial_unused_args_eliminate]: 2.38998e-06 [environ_conv]: 1.042e-05 [add_recomputation]: 5.37e-05 [cse_after_recomputation]: 2.764e-05, [1] [Cycle 1]: 2.12e-05, [1] [cse]: 1.456e-05 [auto_monad_reorder]: 1.583e-05 [get_jit_bprop_graph]: 2.64001e-06 [rewriter_after_jit_bprop_graph]: 7.8e-06 [opt_after_jit_grad]: 0.0005073 [symbol_engine_optimizer]: 9.356e-05, [1] [Cycle 1]: 8.589e-05, [6] [build]: 4.95999e-06 [elim_shapecalc]: 1.064e-05 [elim_not_effective]: 1.617e-05 [opt_reshape]: 1.105e-05 [fold_const_symbol]: 1.094e-05 [renormalize]: 9.39996e-07 [validate]: 5.734e-05 [backend_pass]: 1.34e-06 [task_emit]: 0.0684035 [execute]: 1.016e-05 Sums bootstrap : 0.001131s : 0.06% type_inference : 0.921279s : 51.33% event_method : 0.000569s : 0.03% auto_monad : 0.000139s : 0.01% graph_reusing : 0.000011s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000054s : 0.00% rewriter_before_opt_a : 0.000148s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000314s : 0.02% jit_opt_a.loop_unroll : 0.000132s : 0.01% jit_opt_a.a_1 : 0.003365s : 0.19% jit_opt_a.with_stream_mark : 0.000095s : 0.01% jit_opt_a.recompute_prepare : 0.000076s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000029s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000021s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000019s : 0.00% jit_opt_a.parameter_eliminate : 0.000011s : 0.00% jit_opt_a.specialize_transform : 0.000059s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000041s : 0.00% jit_opt_a.accelerated_algorithm : 0.000100s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000016s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000040s : 0.00% jit_opt_a.merge_forward : 0.000022s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000090s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000069s : 0.00% jit_opt_a.meta_fg_expand : 0.000352s : 0.02% jit_opt_a.meta_fg_expand.resolve : 0.175096s : 9.76% jit_opt_a.replace_old_param : 0.000240s : 0.01% jit_opt_a.inline_without_move : 0.000335s : 0.02% jit_opt_a.renormalize : 0.617230s : 34.39% jit_opt_a.add_forward_monad_depend : 0.000076s : 0.00% jit_opt_a.auto_monad_grad : 0.001102s : 0.06% jit_opt_a.auto_monad_eliminator : 0.000126s : 0.01% jit_opt_a.cse : 0.000294s : 0.02% jit_opt_a.replace_applicator : 0.000227s : 0.01% py_interpret_to_execute_after_opt_a : 0.000021s : 0.00% rewriter_after_opt_a : 0.000755s : 0.04% convert_after_rewriter : 0.000025s : 0.00% order_py_execute_after_rewriter : 0.000011s : 0.00% mutable_eliminate : 0.000806s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000065s : 0.00% jit_opt_b.inline_after_opt_a : 0.000276s : 0.02% cconv : 0.000028s : 0.00% loop_unroll : 0.000711s : 0.04% jit_opt_after_cconv.c_1 : 0.000032s : 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 : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000033s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000023s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000001s : 0.00% jit_opt_after_cconv.renormalize : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000017s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000010s : 0.00% add_recomputation : 0.000054s : 0.00% cse_after_recomputation.cse : 0.000015s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000507s : 0.03% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000016s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000057s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.068404s : 3.81% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 0.174724 220 0.00% : 0.000003s : 2: substitution.elim_not_effective 0.00% : 0.000002s : 2: substitution.fold_const_symbol 99.22% : 0.173354s : 37: substitution.getattr_setattr_resolve 0.00% : 0.000006s : 4: substitution.graph_param_transform 0.48% : 0.000835s : 27: substitution.inline 0.08% : 0.000134s : 19: substitution.inline_without_move 0.01% : 0.000012s : 21: substitution.j_node_and_user_rematch 0.03% : 0.000049s : 4: substitution.less_batch_normalization 0.01% : 0.000011s : 4: substitution.minmaximum_grad 0.00% : 0.000002s : 1: substitution.opt_reshape 0.00% : 0.000004s : 2: substitution.partial_eliminate 0.01% : 0.000018s : 21: substitution.remove_not_recompute_node 0.06% : 0.000102s : 21: substitution.replace_applicator 0.01% : 0.000018s : 20: substitution.replace_old_param 0.00% : 0.000007s : 1: substitution.reset_defer_inline 0.02% : 0.000035s : 5: substitution.reshape_eliminate 0.01% : 0.000012s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.01% : 0.000015s : 4: substitution.switch_simplify 0.01% : 0.000010s : 1: substitution.transpose_eliminate 0.01% : 0.000019s : 4: substitution.tuple_list_convert_item_index_to_positive 0.01% : 0.000012s : 4: substitution.tuple_list_get_item_depend_reorder 0.03% : 0.000060s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.921112 2 99.60% : 0.917415s : 1: type_inference.infer 0.40% : 0.003697s : 1: type_inference.specialize ------[replace.] 0.001092 65 65.83% : 0.000719s : 30: replace.getattr_setattr_resolve 21.80% : 0.000238s : 25: replace.inline 7.08% : 0.000077s : 4: replace.switch_simplify 0.56% : 0.000006s : 1: replace.transpose_eliminate 4.73% : 0.000052s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.173983 65 99.51% : 0.173126s : 30: match.getattr_setattr_resolve 0.47% : 0.000812s : 25: match.inline 0.01% : 0.000012s : 4: match.switch_simplify 0.00% : 0.000008s : 1: match.transpose_eliminate 0.01% : 0.000024s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000770 4204 1.10% : 0.000008s : 57: predicate.accumulaten_eliminater 0.21% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.93% : 0.000007s : 57: predicate.addn_check_dump 1.00% : 0.000008s : 57: predicate.addn_zero_filter 1.60% : 0.000012s : 57: predicate.arithmetic_simplify 1.03% : 0.000008s : 58: predicate.cast_eliminate 0.33% : 0.000003s : 16: predicate.check_bprop_eliminate 0.95% : 0.000007s : 57: predicate.compare_switch_simplify 1.00% : 0.000008s : 57: predicate.depend_value_elim 0.99% : 0.000008s : 58: predicate.dict_get_item_const_eliminator 1.15% : 0.000009s : 58: predicate.dict_get_item_eliminator 1.01% : 0.000008s : 58: predicate.dict_set_item_eliminator 0.18% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.10% : 0.000001s : 4: predicate.elim_not_effective 0.10% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.05% : 0.000008s : 58: predicate.environ_add_const_eliminate 0.99% : 0.000008s : 58: predicate.environ_get_add_eliminate 1.01% : 0.000008s : 58: predicate.environ_get_depend_swap 1.02% : 0.000008s : 58: predicate.environ_get_eliminate 0.96% : 0.000007s : 58: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 4: predicate.fold_const_symbol 0.69% : 0.000005s : 33: predicate.get_grad_eliminate 18.02% : 0.000139s : 336: predicate.getattr_setattr_resolve 0.06% : 0.000000s : 4: predicate.graph_param_transform 3.54% : 0.000027s : 111: predicate.inline 4.05% : 0.000031s : 177: predicate.inline_without_move 0.33% : 0.000003s : 33: predicate.j_node_and_user_rematch 0.95% : 0.000007s : 33: predicate.less_batch_normalization 1.13% : 0.000009s : 61: predicate.list_to_tuple_eliminator_ 1.16% : 0.000009s : 65: predicate.load_eliminater 2.86% : 0.000022s : 4: predicate.loop_unroll_after_grad 2.66% : 0.000020s : 142: predicate.loop_unroll_before_grad 1.43% : 0.000011s : 62: predicate.make_slice_get_slice_eliminator 0.95% : 0.000007s : 57: predicate.merge_addn 1.07% : 0.000008s : 57: predicate.minmaximum_grad 0.64% : 0.000005s : 12: predicate.mutable_eliminate 0.13% : 0.000001s : 4: predicate.opt_reshape 1.42% : 0.000011s : 65: predicate.partial_eliminate 1.02% : 0.000008s : 57: predicate.print_const_string_wrapper 1.43% : 0.000011s : 58: predicate.reduce_eliminate 1.18% : 0.000009s : 61: predicate.redundant_stop_gradient_eliminater 0.38% : 0.000003s : 33: predicate.remove_not_recompute_node 2.05% : 0.000016s : 153: predicate.replace_applicator 1.86% : 0.000014s : 177: predicate.replace_old_param 0.33% : 0.000003s : 24: predicate.reset_defer_inline 1.19% : 0.000009s : 58: predicate.reshape_eliminate 1.12% : 0.000009s : 57: predicate.row_tensor_add_zeros_like 0.38% : 0.000003s : 16: predicate.row_tensor_eliminate 1.05% : 0.000008s : 57: predicate.same_eliminate 0.43% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.45% : 0.000003s : 20: predicate.special_op_eliminate 0.78% : 0.000006s : 33: predicate.specialize_transform 1.23% : 0.000009s : 57: predicate.split_environ_get_set_with_tuple_value 1.00% : 0.000008s : 57: predicate.stack_unstack_eliminate 0.14% : 0.000001s : 4: predicate.switch_call_monad_eliminater 3.96% : 0.000030s : 85: predicate.switch_defer_inline 1.74% : 0.000013s : 85: predicate.switch_layer_defer_inline 5.10% : 0.000039s : 239: predicate.switch_simplify 1.17% : 0.000009s : 58: predicate.tile_eliminate 1.08% : 0.000008s : 58: predicate.transpose_eliminate 1.23% : 0.000009s : 58: predicate.tuple_list_convert_item_index_to_positive 1.33% : 0.000010s : 58: predicate.tuple_list_get_item_depend_reorder 2.69% : 0.000021s : 93: predicate.tuple_list_get_item_eliminator 1.53% : 0.000012s : 58: predicate.tuple_list_set_item_eliminator 1.23% : 0.000010s : 61: predicate.tuple_to_list_eliminator_ 1.15% : 0.000009s : 65: predicate.updatestate_pure_node_eliminater 2.02% : 0.000016s : 98: predicate.updatestate_useless_node_eliminater 1.39% : 0.000011s : 57: predicate.value_based_eliminate 0.07% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.44% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.009596 79 72.71% : 0.006977s : 44: func_graph_cloner_run.FuncGraphClonerGraph 27.29% : 0.002619s : 35: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.818844 103 0.00% : 0.000057s : 1: add_recomputation 0.01% : 0.000146s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.04% : 0.001167s : 1: bootstrap 0.00% : 0.000031s : 1: cconv 0.00% : 0.000029s : 1: convert_after_rewriter 0.00% : 0.000030s : 1: cse_after_recomputation 0.00% : 0.000014s : 1: environ_conv 0.02% : 0.000587s : 1: event_method 0.00% : 0.000016s : 1: execute 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000014s : 1: graph_reusing 36.38% : 1.025497s : 1: jit_opt_a 0.01% : 0.000194s : 1: jit_opt_after_cconv 0.01% : 0.000390s : 1: jit_opt_b 0.03% : 0.000724s : 1: loop_unroll 0.03% : 0.000817s : 1: mutable_eliminate 0.18% : 0.005016s : 39: opt.transform.jit_opt_a 0.00% : 0.000065s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000317s : 14: opt.transform.jit_opt_b 0.00% : 0.000037s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000030s : 1: opt.transform.mutable_eliminate 0.00% : 0.000028s : 1: opt.transform.opt_after_jit_grad 6.20% : 0.174861s : 2: opt.transform.opt_resolve 0.00% : 0.000045s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000517s : 1: opt_after_jit_grad 0.00% : 0.000013s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.00% : 0.000057s : 1: py_interpret_to_execute 0.00% : 0.000024s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 21.58% : 0.608187s : 2: renormalize.infer 0.32% : 0.009008s : 2: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000765s : 1: rewriter_after_opt_a 0.01% : 0.000151s : 1: rewriter_before_opt_a 0.00% : 0.000097s : 1: symbol_engine_optimizer 2.43% : 0.068424s : 1: task_emit 32.68% : 0.921314s : 1: type_inference 0.00% : 0.000100s : 1: validate . [hook] pytest_runtest_teardown:test_reshape_vmap[32-pynative] tests/st/mint/test_reshape.py::test_reshape_vmap[32-pynative],max_mem:4.0M [WARNING] ME(167441:281473617391408,MainProcess):2026-01-29-17:41:34.290.078 [mindspore/graph/api.py:1147] The func .after_vmap at 0xfffee402adc0> should be wrapped by jit only once. [WARNING] ME(167441:281473617391408,MainProcess):2026-01-29-17:41:34.291.631 [mindspore/graph/api.py:128] The function "after_vmap" at the file "/home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/graph/api.py", line 1152 has been compiled again. Try to reuse the function object decorated by @jit to reduce the compile time. For more details, get instructions about `jit` at https://www.mindspore.cn/search?inputValue=jit. TotalTime = 1.55565, [33] [bootstrap]: 0.00063651 [type_inference]: 0.470104 [event_method]: 0.0004847 [auto_monad]: 0.0001373 [graph_reusing]: 9.59e-06 [pre_auto_parallel]: 3.9e-06 [py_interpret_to_execute]: 5.655e-05 [rewriter_before_opt_a]: 0.00014533 [expand_dump_flag]: 5.55001e-06 [jit_opt_a]: 0.950327, [3] [Cycle 1]: 0.936352, [27] [switch_simplify]: 9.777e-05 [loop_unroll]: 5.908e-05 [a_1]: 0.0579346 [with_stream_mark]: 0.00108191 [recompute_prepare]: 5.52e-05 [updatestate_depend_eliminate]: 1.258e-05 [updatestate_assign_eliminate]: 5.76e-06 [updatestate_loads_eliminate]: 5.67999e-06 [parameter_eliminate]: 4.65001e-06 [specialize_transform]: 1.463e-05 [updatestate_useless_node_eliminater]: 1.254e-05 [accelerated_algorithm]: 1.576e-05 [meta_shard_fg_expand]: 7.28e-06 [get_grad_eliminate_]: 1.367e-05 [merge_forward]: 7.11001e-06 [cell_reuse_recompute_pass]: 1.25999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.842e-05 [j_node_and_user_rematch]: 2.176e-05 [meta_fg_expand]: 0.212665, [1] [Cycle 1]: 0.169407, [1] [resolve]: 0.16936 [replace_old_param]: 0.00020353 [inline_without_move]: 0.00030096 [renormalize]: 0.662468 [add_forward_monad_depend]: 3.141e-05 [auto_monad_grad]: 0.00050742 [auto_monad_eliminator]: 7.612e-05 [cse]: 0.0001753 [replace_applicator]: 0.00015672 [Cycle 2]: 0.00806509, [27] [switch_simplify]: 0.00019088 [loop_unroll]: 5.688e-05 [a_1]: 0.00138313 [with_stream_mark]: 2.904e-05 [recompute_prepare]: 2.358e-05 [updatestate_depend_eliminate]: 9.59e-06 [updatestate_assign_eliminate]: 7.46001e-06 [updatestate_loads_eliminate]: 6.22001e-06 [parameter_eliminate]: 3.43e-06 [specialize_transform]: 2.298e-05 [updatestate_useless_node_eliminater]: 1.497e-05 [accelerated_algorithm]: 6.878e-05 [meta_shard_fg_expand]: 6.28002e-06 [get_grad_eliminate_]: 1.472e-05 [merge_forward]: 8.27e-06 [cell_reuse_recompute_pass]: 1.45001e-06 [cell_reuse_handle_not_recompute_node_pass]: 6.031e-05 [j_node_and_user_rematch]: 2.489e-05 [meta_fg_expand]: 0.00038807 [replace_old_param]: 6.81e-05 [inline_without_move]: 2.494e-05 [renormalize]: 0.00520915 [add_forward_monad_depend]: 1.507e-05 [auto_monad_grad]: 4.63999e-06 [auto_monad_eliminator]: 3.359e-05 [cse]: 6.818e-05 [replace_applicator]: 6.298e-05 [Cycle 3]: 0.00102754, [27] [switch_simplify]: 1.675e-05 [loop_unroll]: 1.556e-05 [a_1]: 0.00047342 [with_stream_mark]: 2.72e-05 [recompute_prepare]: 2.258e-05 [updatestate_depend_eliminate]: 9.69e-06 [updatestate_assign_eliminate]: 6.88998e-06 [updatestate_loads_eliminate]: 6.49999e-06 [parameter_eliminate]: 3.14999e-06 [specialize_transform]: 2.093e-05 [updatestate_useless_node_eliminater]: 1.538e-05 [accelerated_algorithm]: 2.303e-05 [meta_shard_fg_expand]: 4.47e-06 [get_grad_eliminate_]: 1.416e-05 [merge_forward]: 9.52001e-06 [cell_reuse_recompute_pass]: 1.49998e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.109e-05 [j_node_and_user_rematch]: 2.423e-05 [meta_fg_expand]: 6.89001e-06 [replace_old_param]: 2.094e-05 [inline_without_move]: 1.854e-05 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 3.71001e-06 [auto_monad_grad]: 3.13e-06 [auto_monad_eliminator]: 2.223e-05 [cse]: 4.99e-05 [replace_applicator]: 2.448e-05 [py_interpret_to_execute_after_opt_a]: 2.726e-05 [rewriter_after_opt_a]: 0.00087737 [convert_after_rewriter]: 2.521e-05 [order_py_execute_after_rewriter]: 9.78002e-06 [mutable_eliminate]: 0.00083353 [jit_opt_b]: 0.00040489, [2] [Cycle 1]: 0.0003461, [2] [frontend_op_eliminate]: 5.015e-05 [inline_after_opt_a]: 0.00027706 [Cycle 2]: 4.367e-05, [2] [frontend_op_eliminate]: 1.709e-05 [inline_after_opt_a]: 1.515e-05 [cconv]: 4.917e-05 [loop_unroll]: 0.00051395 [jit_opt_after_cconv]: 0.00026714, [1] [Cycle 1]: 0.00025949, [11] [c_1]: 3.344e-05 [parameter_eliminate]: 6.12999e-06 [updatestate_depend_eliminate]: 9.71998e-06 [updatestate_assign_eliminate]: 4.42e-06 [updatestate_loads_eliminate]: 2.52001e-06 [cse]: 0.00010145 [call_graph_tuple_transform]: 2.476e-05 [tuple_list_get_item_eliminator]: 8.48999e-06 [none_parameter_eliminate]: 2.19001e-06 [renormalize]: 8.50006e-07 [switch_simplify]: 7.56001e-06 [remove_dup_value]: 1.838e-05 [partial_unused_args_eliminate]: 2.46998e-06 [environ_conv]: 1.03e-05 [add_recomputation]: 5.573e-05 [cse_after_recomputation]: 2.82e-05, [1] [Cycle 1]: 2.179e-05, [1] [cse]: 1.545e-05 [auto_monad_reorder]: 1.675e-05 [get_jit_bprop_graph]: 3.43e-06 [rewriter_after_jit_bprop_graph]: 7.35e-06 [opt_after_jit_grad]: 0.00054037 [symbol_engine_optimizer]: 9.56e-05, [1] [Cycle 1]: 8.752e-05, [6] [build]: 4.73001e-06 [elim_shapecalc]: 1.118e-05 [elim_not_effective]: 1.755e-05 [opt_reshape]: 1.051e-05 [fold_const_symbol]: 1.1e-05 [renormalize]: 5.89993e-07 [validate]: 6.157e-05 [backend_pass]: 1.49e-06 [task_emit]: 0.129531 [execute]: 9.57999e-06 Sums bootstrap : 0.000637s : 0.04% type_inference : 0.470104s : 31.21% event_method : 0.000485s : 0.03% auto_monad : 0.000137s : 0.01% graph_reusing : 0.000010s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000057s : 0.00% rewriter_before_opt_a : 0.000145s : 0.01% expand_dump_flag : 0.000006s : 0.00% jit_opt_a.switch_simplify : 0.000305s : 0.02% jit_opt_a.loop_unroll : 0.000132s : 0.01% jit_opt_a.a_1 : 0.059791s : 3.97% jit_opt_a.with_stream_mark : 0.001138s : 0.08% jit_opt_a.recompute_prepare : 0.000101s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000032s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000020s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000018s : 0.00% jit_opt_a.parameter_eliminate : 0.000011s : 0.00% jit_opt_a.specialize_transform : 0.000059s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000043s : 0.00% jit_opt_a.accelerated_algorithm : 0.000108s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000018s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000043s : 0.00% jit_opt_a.merge_forward : 0.000025s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000120s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000071s : 0.00% jit_opt_a.meta_fg_expand : 0.000395s : 0.03% jit_opt_a.meta_fg_expand.resolve : 0.169360s : 11.24% jit_opt_a.replace_old_param : 0.000293s : 0.02% jit_opt_a.inline_without_move : 0.000344s : 0.02% jit_opt_a.renormalize : 0.667677s : 44.33% jit_opt_a.add_forward_monad_depend : 0.000050s : 0.00% jit_opt_a.auto_monad_grad : 0.000515s : 0.03% jit_opt_a.auto_monad_eliminator : 0.000132s : 0.01% jit_opt_a.cse : 0.000293s : 0.02% jit_opt_a.replace_applicator : 0.000244s : 0.02% py_interpret_to_execute_after_opt_a : 0.000027s : 0.00% rewriter_after_opt_a : 0.000877s : 0.06% convert_after_rewriter : 0.000025s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000834s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000067s : 0.00% jit_opt_b.inline_after_opt_a : 0.000292s : 0.02% cconv : 0.000049s : 0.00% loop_unroll : 0.000514s : 0.03% jit_opt_after_cconv.c_1 : 0.000033s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000010s : 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 : 0.000101s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000025s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000008s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000010s : 0.00% add_recomputation : 0.000056s : 0.00% cse_after_recomputation.cse : 0.000015s : 0.00% auto_monad_reorder : 0.000017s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000540s : 0.04% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000018s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000062s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.129531s : 8.60% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 0.169026 220 0.00% : 0.000003s : 2: substitution.elim_not_effective 0.00% : 0.000001s : 2: substitution.fold_const_symbol 99.13% : 0.167554s : 37: substitution.getattr_setattr_resolve 0.00% : 0.000007s : 4: substitution.graph_param_transform 0.55% : 0.000935s : 27: substitution.inline 0.08% : 0.000137s : 19: substitution.inline_without_move 0.01% : 0.000013s : 21: substitution.j_node_and_user_rematch 0.03% : 0.000050s : 4: substitution.less_batch_normalization 0.01% : 0.000009s : 4: substitution.minmaximum_grad 0.00% : 0.000001s : 1: substitution.opt_reshape 0.00% : 0.000005s : 2: substitution.partial_eliminate 0.01% : 0.000018s : 21: substitution.remove_not_recompute_node 0.04% : 0.000073s : 21: substitution.replace_applicator 0.01% : 0.000019s : 20: substitution.replace_old_param 0.00% : 0.000007s : 1: substitution.reset_defer_inline 0.02% : 0.000034s : 5: substitution.reshape_eliminate 0.01% : 0.000017s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.02% : 0.000035s : 4: substitution.switch_simplify 0.01% : 0.000009s : 1: substitution.transpose_eliminate 0.01% : 0.000018s : 4: substitution.tuple_list_convert_item_index_to_positive 0.01% : 0.000013s : 4: substitution.tuple_list_get_item_depend_reorder 0.04% : 0.000062s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.469993 2 99.28% : 0.466633s : 1: type_inference.infer 0.72% : 0.003361s : 1: type_inference.specialize ------[replace.] 0.001139 65 65.84% : 0.000750s : 30: replace.getattr_setattr_resolve 22.31% : 0.000254s : 25: replace.inline 6.29% : 0.000072s : 4: replace.switch_simplify 0.53% : 0.000006s : 1: replace.transpose_eliminate 5.03% : 0.000057s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.168295 65 99.42% : 0.167320s : 30: match.getattr_setattr_resolve 0.54% : 0.000910s : 25: match.inline 0.02% : 0.000032s : 4: match.switch_simplify 0.00% : 0.000008s : 1: match.transpose_eliminate 0.02% : 0.000026s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000768 4204 1.05% : 0.000008s : 57: predicate.accumulaten_eliminater 0.19% : 0.000001s : 4: predicate.ad_related_special_op_eliminate 0.98% : 0.000008s : 57: predicate.addn_check_dump 1.21% : 0.000009s : 57: predicate.addn_zero_filter 1.69% : 0.000013s : 57: predicate.arithmetic_simplify 1.12% : 0.000009s : 58: predicate.cast_eliminate 0.32% : 0.000002s : 16: predicate.check_bprop_eliminate 0.96% : 0.000007s : 57: predicate.compare_switch_simplify 1.20% : 0.000009s : 57: predicate.depend_value_elim 1.01% : 0.000008s : 58: predicate.dict_get_item_const_eliminator 1.06% : 0.000008s : 58: predicate.dict_get_item_eliminator 1.03% : 0.000008s : 58: predicate.dict_set_item_eliminator 0.20% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.07% : 0.000001s : 4: predicate.elim_not_effective 0.11% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.32% : 0.000010s : 58: predicate.environ_add_const_eliminate 1.08% : 0.000008s : 58: predicate.environ_get_add_eliminate 1.25% : 0.000010s : 58: predicate.environ_get_depend_swap 1.08% : 0.000008s : 58: predicate.environ_get_eliminate 0.98% : 0.000008s : 58: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 4: predicate.fold_const_symbol 0.71% : 0.000005s : 33: predicate.get_grad_eliminate 17.84% : 0.000137s : 336: predicate.getattr_setattr_resolve 0.05% : 0.000000s : 4: predicate.graph_param_transform 4.23% : 0.000032s : 111: predicate.inline 4.19% : 0.000032s : 177: predicate.inline_without_move 0.31% : 0.000002s : 33: predicate.j_node_and_user_rematch 1.06% : 0.000008s : 33: predicate.less_batch_normalization 1.20% : 0.000009s : 61: predicate.list_to_tuple_eliminator_ 1.37% : 0.000011s : 65: predicate.load_eliminater 0.26% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.64% : 0.000020s : 142: predicate.loop_unroll_before_grad 1.26% : 0.000010s : 62: predicate.make_slice_get_slice_eliminator 0.97% : 0.000007s : 57: predicate.merge_addn 0.98% : 0.000008s : 57: predicate.minmaximum_grad 0.64% : 0.000005s : 12: predicate.mutable_eliminate 0.12% : 0.000001s : 4: predicate.opt_reshape 1.58% : 0.000012s : 65: predicate.partial_eliminate 0.99% : 0.000008s : 57: predicate.print_const_string_wrapper 1.43% : 0.000011s : 58: predicate.reduce_eliminate 2.12% : 0.000016s : 61: predicate.redundant_stop_gradient_eliminater 0.39% : 0.000003s : 33: predicate.remove_not_recompute_node 2.08% : 0.000016s : 153: predicate.replace_applicator 1.86% : 0.000014s : 177: predicate.replace_old_param 0.35% : 0.000003s : 24: predicate.reset_defer_inline 1.25% : 0.000010s : 58: predicate.reshape_eliminate 1.06% : 0.000008s : 57: predicate.row_tensor_add_zeros_like 0.50% : 0.000004s : 16: predicate.row_tensor_eliminate 1.07% : 0.000008s : 57: predicate.same_eliminate 0.47% : 0.000004s : 33: predicate.set_cell_output_no_recompute 0.45% : 0.000003s : 20: predicate.special_op_eliminate 0.78% : 0.000006s : 33: predicate.specialize_transform 1.22% : 0.000009s : 57: predicate.split_environ_get_set_with_tuple_value 1.10% : 0.000008s : 57: predicate.stack_unstack_eliminate 0.11% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.82% : 0.000022s : 85: predicate.switch_defer_inline 2.03% : 0.000016s : 85: predicate.switch_layer_defer_inline 4.84% : 0.000037s : 239: predicate.switch_simplify 1.10% : 0.000008s : 58: predicate.tile_eliminate 1.08% : 0.000008s : 58: predicate.transpose_eliminate 1.43% : 0.000011s : 58: predicate.tuple_list_convert_item_index_to_positive 1.27% : 0.000010s : 58: predicate.tuple_list_get_item_depend_reorder 2.84% : 0.000022s : 93: predicate.tuple_list_get_item_eliminator 1.38% : 0.000011s : 58: predicate.tuple_list_set_item_eliminator 1.19% : 0.000009s : 61: predicate.tuple_to_list_eliminator_ 1.10% : 0.000008s : 65: predicate.updatestate_pure_node_eliminater 2.27% : 0.000017s : 98: predicate.updatestate_useless_node_eliminater 1.52% : 0.000012s : 57: predicate.value_based_eliminate 0.07% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.44% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.041694 79 94.03% : 0.039205s : 44: func_graph_cloner_run.FuncGraphClonerGraph 5.97% : 0.002490s : 35: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.454445 103 0.00% : 0.000059s : 1: add_recomputation 0.01% : 0.000146s : 1: auto_monad 0.00% : 0.000020s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.03% : 0.000678s : 1: bootstrap 0.00% : 0.000053s : 1: cconv 0.00% : 0.000030s : 1: convert_after_rewriter 0.00% : 0.000030s : 1: cse_after_recomputation 0.00% : 0.000014s : 1: environ_conv 0.02% : 0.000498s : 1: event_method 0.00% : 0.000016s : 1: execute 0.00% : 0.000009s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000013s : 1: graph_reusing 38.72% : 0.950332s : 1: jit_opt_a 0.01% : 0.000271s : 1: jit_opt_after_cconv 0.02% : 0.000408s : 1: jit_opt_b 0.02% : 0.000524s : 1: loop_unroll 0.03% : 0.000845s : 1: mutable_eliminate 2.51% : 0.061576s : 39: opt.transform.jit_opt_a 0.00% : 0.000070s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000332s : 14: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000033s : 1: opt.transform.mutable_eliminate 0.00% : 0.000031s : 1: opt.transform.opt_after_jit_grad 6.89% : 0.169130s : 2: opt.transform.opt_resolve 0.00% : 0.000046s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000552s : 1: opt_after_jit_grad 0.00% : 0.000012s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.00% : 0.000060s : 1: py_interpret_to_execute 0.00% : 0.000031s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000021s : 1: remove_dup_value 20.03% : 0.491681s : 2: renormalize.infer 7.17% : 0.175961s : 2: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.04% : 0.000888s : 1: rewriter_after_opt_a 0.01% : 0.000150s : 1: rewriter_before_opt_a 0.00% : 0.000100s : 1: symbol_engine_optimizer 5.28% : 0.129552s : 1: task_emit 19.15% : 0.470130s : 1: type_inference 0.00% : 0.000095s : 1: validate . [hook] pytest_runtest_teardown:test_reshape_vmap[32-KBK] tests/st/mint/test_reshape.py::test_reshape_vmap[32-KBK],max_mem:4.0M TotalTime = 1.53114, [33] [bootstrap]: 0.00072271 [type_inference]: 0.490897 [event_method]: 0.00047187 [auto_monad]: 0.0001243 [graph_reusing]: 9.18002e-06 [pre_auto_parallel]: 3.48999e-06 [py_interpret_to_execute]: 5.084e-05 [rewriter_before_opt_a]: 0.00013526 [expand_dump_flag]: 3.75998e-06 [jit_opt_a]: 0.817953, [3] [Cycle 1]: 0.803606, [27] [switch_simplify]: 0.00010262 [loop_unroll]: 5.908e-05 [a_1]: 0.00128824 [with_stream_mark]: 3.603e-05 [recompute_prepare]: 2.151e-05 [updatestate_depend_eliminate]: 8.06001e-06 [updatestate_assign_eliminate]: 5.87999e-06 [updatestate_loads_eliminate]: 5.20001e-06 [parameter_eliminate]: 3.31999e-06 [specialize_transform]: 1.288e-05 [updatestate_useless_node_eliminater]: 1.075e-05 [accelerated_algorithm]: 1.249e-05 [meta_shard_fg_expand]: 4.35e-06 [get_grad_eliminate_]: 1.08e-05 [merge_forward]: 5.97999e-06 [cell_reuse_recompute_pass]: 1.16002e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.496e-05 [j_node_and_user_rematch]: 1.933e-05 [meta_fg_expand]: 0.312343, [1] [Cycle 1]: 0.136038, [1] [resolve]: 0.13599 [replace_old_param]: 0.00019426 [inline_without_move]: 0.00029884 [renormalize]: 0.487843 [add_forward_monad_depend]: 3.459e-05 [auto_monad_grad]: 0.00050293 [auto_monad_eliminator]: 7.984e-05 [cse]: 0.00018094 [replace_applicator]: 0.00016917 [Cycle 2]: 0.00830929, [27] [switch_simplify]: 0.00017625 [loop_unroll]: 9.657e-05 [a_1]: 0.00142329 [with_stream_mark]: 3.424e-05 [recompute_prepare]: 2.842e-05 [updatestate_depend_eliminate]: 1.016e-05 [updatestate_assign_eliminate]: 7.55e-06 [updatestate_loads_eliminate]: 6.51e-06 [parameter_eliminate]: 3.58e-06 [specialize_transform]: 2.556e-05 [updatestate_useless_node_eliminater]: 1.546e-05 [accelerated_algorithm]: 6.686e-05 [meta_shard_fg_expand]: 6.44999e-06 [get_grad_eliminate_]: 1.462e-05 [merge_forward]: 8.91997e-06 [cell_reuse_recompute_pass]: 1.12e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.473e-05 [j_node_and_user_rematch]: 2.413e-05 [meta_fg_expand]: 0.00033546 [replace_old_param]: 3.363e-05 [inline_without_move]: 2.128e-05 [renormalize]: 0.00548405 [add_forward_monad_depend]: 1.443e-05 [auto_monad_grad]: 5.27999e-06 [auto_monad_eliminator]: 3.529e-05 [cse]: 6.918e-05 [replace_applicator]: 8.423e-05 [Cycle 3]: 0.00099351, [27] [switch_simplify]: 2.281e-05 [loop_unroll]: 1.689e-05 [a_1]: 0.00044843 [with_stream_mark]: 2.803e-05 [recompute_prepare]: 2.264e-05 [updatestate_depend_eliminate]: 1.038e-05 [updatestate_assign_eliminate]: 7.35e-06 [updatestate_loads_eliminate]: 6.84999e-06 [parameter_eliminate]: 3.72002e-06 [specialize_transform]: 2.003e-05 [updatestate_useless_node_eliminater]: 1.468e-05 [accelerated_algorithm]: 2.17e-05 [meta_shard_fg_expand]: 4.45e-06 [get_grad_eliminate_]: 1.396e-05 [merge_forward]: 7.98999e-06 [cell_reuse_recompute_pass]: 1.12999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.004e-05 [j_node_and_user_rematch]: 2.319e-05 [meta_fg_expand]: 6.17001e-06 [replace_old_param]: 1.982e-05 [inline_without_move]: 1.784e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.87002e-06 [auto_monad_grad]: 3.23998e-06 [auto_monad_eliminator]: 2.02e-05 [cse]: 5.09e-05 [replace_applicator]: 2.155e-05 [py_interpret_to_execute_after_opt_a]: 2.683e-05 [rewriter_after_opt_a]: 0.00094804 [convert_after_rewriter]: 2.459e-05 [order_py_execute_after_rewriter]: 1.039e-05 [mutable_eliminate]: 0.00082974 [jit_opt_b]: 0.00041167, [2] [Cycle 1]: 0.0003539, [2] [frontend_op_eliminate]: 4.816e-05 [inline_after_opt_a]: 0.00028601 [Cycle 2]: 4.31e-05, [2] [frontend_op_eliminate]: 1.747e-05 [inline_after_opt_a]: 1.367e-05 [cconv]: 3.064e-05 [loop_unroll]: 0.00061214 [jit_opt_after_cconv]: 0.00020176, [1] [Cycle 1]: 0.00019313, [11] [c_1]: 3.299e-05 [parameter_eliminate]: 7.38999e-06 [updatestate_depend_eliminate]: 1.008e-05 [updatestate_assign_eliminate]: 4.83001e-06 [updatestate_loads_eliminate]: 2.86e-06 [cse]: 3.743e-05 [call_graph_tuple_transform]: 2.379e-05 [tuple_list_get_item_eliminator]: 8.27998e-06 [none_parameter_eliminate]: 1.59e-06 [renormalize]: 6.69999e-07 [switch_simplify]: 7.19001e-06 [remove_dup_value]: 1.773e-05 [partial_unused_args_eliminate]: 2.61999e-06 [environ_conv]: 1.152e-05 [add_recomputation]: 5.711e-05 [cse_after_recomputation]: 2.887e-05, [1] [Cycle 1]: 2.234e-05, [1] [cse]: 1.564e-05 [auto_monad_reorder]: 1.661e-05 [get_jit_bprop_graph]: 3.58999e-06 [rewriter_after_jit_bprop_graph]: 8.22e-06 [opt_after_jit_grad]: 0.00053511 [symbol_engine_optimizer]: 9.559e-05, [1] [Cycle 1]: 8.635e-05, [6] [build]: 5.50001e-06 [elim_shapecalc]: 1.156e-05 [elim_not_effective]: 1.613e-05 [opt_reshape]: 1.135e-05 [fold_const_symbol]: 1.104e-05 [renormalize]: 5.90022e-07 [validate]: 5.562e-05 [backend_pass]: 1.09003e-06 [task_emit]: 0.2165 [execute]: 9.76e-06 Sums bootstrap : 0.000723s : 0.05% type_inference : 0.490897s : 36.40% event_method : 0.000472s : 0.03% auto_monad : 0.000124s : 0.01% graph_reusing : 0.000009s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000051s : 0.00% rewriter_before_opt_a : 0.000135s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000302s : 0.02% jit_opt_a.loop_unroll : 0.000173s : 0.01% jit_opt_a.a_1 : 0.003160s : 0.23% jit_opt_a.with_stream_mark : 0.000098s : 0.01% jit_opt_a.recompute_prepare : 0.000073s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000029s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000021s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000019s : 0.00% jit_opt_a.parameter_eliminate : 0.000011s : 0.00% jit_opt_a.specialize_transform : 0.000058s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000041s : 0.00% jit_opt_a.accelerated_algorithm : 0.000101s : 0.01% jit_opt_a.meta_shard_fg_expand : 0.000015s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000039s : 0.00% jit_opt_a.merge_forward : 0.000023s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000090s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000067s : 0.00% jit_opt_a.meta_fg_expand : 0.000342s : 0.03% jit_opt_a.meta_fg_expand.resolve : 0.135990s : 10.08% jit_opt_a.replace_old_param : 0.000248s : 0.02% jit_opt_a.inline_without_move : 0.000338s : 0.03% jit_opt_a.renormalize : 0.493327s : 36.58% jit_opt_a.add_forward_monad_depend : 0.000052s : 0.00% jit_opt_a.auto_monad_grad : 0.000511s : 0.04% jit_opt_a.auto_monad_eliminator : 0.000135s : 0.01% jit_opt_a.cse : 0.000301s : 0.02% jit_opt_a.replace_applicator : 0.000275s : 0.02% py_interpret_to_execute_after_opt_a : 0.000027s : 0.00% rewriter_after_opt_a : 0.000948s : 0.07% convert_after_rewriter : 0.000025s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000830s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000066s : 0.00% jit_opt_b.inline_after_opt_a : 0.000300s : 0.02% cconv : 0.000031s : 0.00% loop_unroll : 0.000612s : 0.05% jit_opt_after_cconv.c_1 : 0.000033s : 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 : 0.000005s : 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 : 0.000024s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 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 : 0.000057s : 0.00% cse_after_recomputation.cse : 0.000016s : 0.00% auto_monad_reorder : 0.000017s : 0.00% get_jit_bprop_graph : 0.000004s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000535s : 0.04% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000012s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000016s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000056s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.216500s : 16.05% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 0.135077 220 0.00% : 0.000004s : 2: substitution.elim_not_effective 0.00% : 0.000001s : 2: substitution.fold_const_symbol 99.02% : 0.133752s : 37: substitution.getattr_setattr_resolve 0.01% : 0.000007s : 4: substitution.graph_param_transform 0.60% : 0.000805s : 27: substitution.inline 0.10% : 0.000136s : 19: substitution.inline_without_move 0.01% : 0.000012s : 21: substitution.j_node_and_user_rematch 0.04% : 0.000050s : 4: substitution.less_batch_normalization 0.01% : 0.000009s : 4: substitution.minmaximum_grad 0.00% : 0.000002s : 1: substitution.opt_reshape 0.00% : 0.000003s : 2: substitution.partial_eliminate 0.01% : 0.000019s : 21: substitution.remove_not_recompute_node 0.06% : 0.000079s : 21: substitution.replace_applicator 0.02% : 0.000022s : 20: substitution.replace_old_param 0.01% : 0.000007s : 1: substitution.reset_defer_inline 0.02% : 0.000032s : 5: substitution.reshape_eliminate 0.01% : 0.000013s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.01% : 0.000016s : 4: substitution.switch_simplify 0.01% : 0.000011s : 1: substitution.transpose_eliminate 0.01% : 0.000019s : 4: substitution.tuple_list_convert_item_index_to_positive 0.01% : 0.000013s : 4: substitution.tuple_list_get_item_depend_reorder 0.04% : 0.000059s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.490785 2 99.23% : 0.486993s : 1: type_inference.infer 0.77% : 0.003791s : 1: type_inference.specialize ------[replace.] 0.001217 65 70.43% : 0.000857s : 30: replace.getattr_setattr_resolve 18.57% : 0.000226s : 25: replace.inline 6.40% : 0.000078s : 4: replace.switch_simplify 0.52% : 0.000006s : 1: replace.transpose_eliminate 4.08% : 0.000050s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.134341 65 99.39% : 0.133515s : 30: match.getattr_setattr_resolve 0.58% : 0.000782s : 25: match.inline 0.01% : 0.000012s : 4: match.switch_simplify 0.01% : 0.000010s : 1: match.transpose_eliminate 0.02% : 0.000023s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000751 4204 1.16% : 0.000009s : 57: predicate.accumulaten_eliminater 0.18% : 0.000001s : 4: predicate.ad_related_special_op_eliminate 1.05% : 0.000008s : 57: predicate.addn_check_dump 1.13% : 0.000009s : 57: predicate.addn_zero_filter 1.64% : 0.000012s : 57: predicate.arithmetic_simplify 1.08% : 0.000008s : 58: predicate.cast_eliminate 0.34% : 0.000003s : 16: predicate.check_bprop_eliminate 1.07% : 0.000008s : 57: predicate.compare_switch_simplify 1.13% : 0.000009s : 57: predicate.depend_value_elim 1.11% : 0.000008s : 58: predicate.dict_get_item_const_eliminator 1.13% : 0.000008s : 58: predicate.dict_get_item_eliminator 1.02% : 0.000008s : 58: predicate.dict_set_item_eliminator 0.20% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.07% : 0.000001s : 4: predicate.elim_not_effective 0.11% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.12% : 0.000008s : 58: predicate.environ_add_const_eliminate 1.05% : 0.000008s : 58: predicate.environ_get_add_eliminate 1.00% : 0.000008s : 58: predicate.environ_get_depend_swap 1.10% : 0.000008s : 58: predicate.environ_get_eliminate 1.05% : 0.000008s : 58: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 4: predicate.fold_const_symbol 0.73% : 0.000005s : 33: predicate.get_grad_eliminate 19.58% : 0.000147s : 336: predicate.getattr_setattr_resolve 0.05% : 0.000000s : 4: predicate.graph_param_transform 3.64% : 0.000027s : 111: predicate.inline 4.27% : 0.000032s : 177: predicate.inline_without_move 0.33% : 0.000002s : 33: predicate.j_node_and_user_rematch 0.96% : 0.000007s : 33: predicate.less_batch_normalization 1.19% : 0.000009s : 61: predicate.list_to_tuple_eliminator_ 1.18% : 0.000009s : 65: predicate.load_eliminater 0.35% : 0.000003s : 4: predicate.loop_unroll_after_grad 2.77% : 0.000021s : 142: predicate.loop_unroll_before_grad 1.17% : 0.000009s : 62: predicate.make_slice_get_slice_eliminator 1.07% : 0.000008s : 57: predicate.merge_addn 1.01% : 0.000008s : 57: predicate.minmaximum_grad 0.74% : 0.000006s : 12: predicate.mutable_eliminate 0.16% : 0.000001s : 4: predicate.opt_reshape 1.47% : 0.000011s : 65: predicate.partial_eliminate 1.00% : 0.000008s : 57: predicate.print_const_string_wrapper 1.46% : 0.000011s : 58: predicate.reduce_eliminate 1.26% : 0.000009s : 61: predicate.redundant_stop_gradient_eliminater 0.43% : 0.000003s : 33: predicate.remove_not_recompute_node 2.28% : 0.000017s : 153: predicate.replace_applicator 1.96% : 0.000015s : 177: predicate.replace_old_param 0.35% : 0.000003s : 24: predicate.reset_defer_inline 1.21% : 0.000009s : 58: predicate.reshape_eliminate 1.18% : 0.000009s : 57: predicate.row_tensor_add_zeros_like 0.49% : 0.000004s : 16: predicate.row_tensor_eliminate 1.01% : 0.000008s : 57: predicate.same_eliminate 0.42% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.44% : 0.000003s : 20: predicate.special_op_eliminate 0.84% : 0.000006s : 33: predicate.specialize_transform 1.30% : 0.000010s : 57: predicate.split_environ_get_set_with_tuple_value 1.09% : 0.000008s : 57: predicate.stack_unstack_eliminate 0.09% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.26% : 0.000017s : 85: predicate.switch_defer_inline 1.73% : 0.000013s : 85: predicate.switch_layer_defer_inline 5.17% : 0.000039s : 239: predicate.switch_simplify 1.08% : 0.000008s : 58: predicate.tile_eliminate 1.16% : 0.000009s : 58: predicate.transpose_eliminate 1.32% : 0.000010s : 58: predicate.tuple_list_convert_item_index_to_positive 1.26% : 0.000009s : 58: predicate.tuple_list_get_item_depend_reorder 2.80% : 0.000021s : 93: predicate.tuple_list_get_item_eliminator 1.29% : 0.000010s : 58: predicate.tuple_list_set_item_eliminator 1.20% : 0.000009s : 61: predicate.tuple_to_list_eliminator_ 1.32% : 0.000010s : 65: predicate.updatestate_pure_node_eliminater 2.12% : 0.000016s : 98: predicate.updatestate_useless_node_eliminater 1.49% : 0.000011s : 57: predicate.value_based_eliminate 0.08% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.43% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.008990 79 72.13% : 0.006484s : 44: func_graph_cloner_run.FuncGraphClonerGraph 27.87% : 0.002506s : 35: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.165557 103 0.00% : 0.000060s : 1: add_recomputation 0.01% : 0.000131s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.04% : 0.000759s : 1: bootstrap 0.00% : 0.000033s : 1: cconv 0.00% : 0.000028s : 1: convert_after_rewriter 0.00% : 0.000031s : 1: cse_after_recomputation 0.00% : 0.000015s : 1: environ_conv 0.02% : 0.000483s : 1: event_method 0.00% : 0.000016s : 1: execute 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 37.77% : 0.817958s : 1: jit_opt_a 0.01% : 0.000206s : 1: jit_opt_after_cconv 0.02% : 0.000415s : 1: jit_opt_b 0.03% : 0.000623s : 1: loop_unroll 0.04% : 0.000842s : 1: mutable_eliminate 0.23% : 0.004891s : 39: opt.transform.jit_opt_a 0.00% : 0.000068s : 4: opt.transform.jit_opt_after_cconv 0.02% : 0.000339s : 14: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000034s : 1: opt.transform.mutable_eliminate 0.00% : 0.000030s : 1: opt.transform.opt_after_jit_grad 6.27% : 0.135756s : 2: opt.transform.opt_resolve 0.00% : 0.000046s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000546s : 1: opt_after_jit_grad 0.00% : 0.000013s : 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% : 0.000054s : 1: py_interpret_to_execute 0.00% : 0.000030s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 22.37% : 0.484409s : 2: renormalize.infer 0.41% : 0.008884s : 2: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.04% : 0.000959s : 1: rewriter_after_opt_a 0.01% : 0.000139s : 1: rewriter_before_opt_a 0.00% : 0.000099s : 1: symbol_engine_optimizer 10.00% : 0.216519s : 1: task_emit 22.67% : 0.490925s : 1: type_inference 0.00% : 0.000107s : 1: validate . [hook] pytest_runtest_teardown:test_reshape_vmap[64-pynative] tests/st/mint/test_reshape.py::test_reshape_vmap[64-pynative],max_mem:4.0M [WARNING] ME(167441:281473617391408,MainProcess):2026-01-29-17:41:39.503.182 [mindspore/graph/api.py:1147] The func .after_vmap at 0xfffee402a940> should be wrapped by jit only once. [WARNING] ME(167441:281473617391408,MainProcess):2026-01-29-17:41:39.504.615 [mindspore/graph/api.py:128] The function "after_vmap" at the file "/home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/graph/api.py", line 1152 has been compiled again. Try to reuse the function object decorated by @jit to reduce the compile time. For more details, get instructions about `jit` at https://www.mindspore.cn/search?inputValue=jit. TotalTime = 3.16991, [33] [bootstrap]: 0.00088202 [type_inference]: 0.815382 [event_method]: 0.00046424 [auto_monad]: 0.000123 [graph_reusing]: 8.74e-06 [pre_auto_parallel]: 3.51001e-06 [py_interpret_to_execute]: 4.132e-05 [rewriter_before_opt_a]: 0.00012846 [expand_dump_flag]: 4.02e-06 [jit_opt_a]: 2.08699, [3] [Cycle 1]: 1.91427, [27] [switch_simplify]: 0.00010059 [loop_unroll]: 5.916e-05 [a_1]: 0.00127439 [with_stream_mark]: 3.416e-05 [recompute_prepare]: 2.299e-05 [updatestate_depend_eliminate]: 7.53e-06 [updatestate_assign_eliminate]: 5.91998e-06 [updatestate_loads_eliminate]: 4.65001e-06 [parameter_eliminate]: 3.45998e-06 [specialize_transform]: 1.18e-05 [updatestate_useless_node_eliminater]: 1.119e-05 [accelerated_algorithm]: 1.168e-05 [meta_shard_fg_expand]: 4.13001e-06 [get_grad_eliminate_]: 1.124e-05 [merge_forward]: 5.92999e-06 [cell_reuse_recompute_pass]: 1.17e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.381e-05 [j_node_and_user_rematch]: 1.901e-05 [meta_fg_expand]: 0.355674, [1] [Cycle 1]: 0.18247, [1] [resolve]: 0.182422 [replace_old_param]: 0.000187 [inline_without_move]: 0.00030112 [renormalize]: 1.55471 [add_forward_monad_depend]: 3.892e-05 [auto_monad_grad]: 0.00097799 [auto_monad_eliminator]: 8.08e-05 [cse]: 0.0001807 [replace_applicator]: 0.00017075 [Cycle 2]: 0.166413, [27] [switch_simplify]: 0.00021867 [loop_unroll]: 5.827e-05 [a_1]: 0.00145285 [with_stream_mark]: 3.439e-05 [recompute_prepare]: 2.379e-05 [updatestate_depend_eliminate]: 1.058e-05 [updatestate_assign_eliminate]: 8.10999e-06 [updatestate_loads_eliminate]: 6.94999e-06 [parameter_eliminate]: 3.56999e-06 [specialize_transform]: 2.233e-05 [updatestate_useless_node_eliminater]: 1.495e-05 [accelerated_algorithm]: 6.883e-05 [meta_shard_fg_expand]: 6.59001e-06 [get_grad_eliminate_]: 1.496e-05 [merge_forward]: 8.43999e-06 [cell_reuse_recompute_pass]: 1.04e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.218e-05 [j_node_and_user_rematch]: 2.374e-05 [meta_fg_expand]: 0.157438 [replace_old_param]: 6.939e-05 [inline_without_move]: 3.039e-05 [renormalize]: 0.00637714 [add_forward_monad_depend]: 1.551e-05 [auto_monad_grad]: 5.10001e-06 [auto_monad_eliminator]: 3.597e-05 [cse]: 7.482e-05 [replace_applicator]: 5.11e-05 [Cycle 3]: 0.00110308, [27] [switch_simplify]: 1.707e-05 [loop_unroll]: 1.541e-05 [a_1]: 0.00047324 [with_stream_mark]: 2.661e-05 [recompute_prepare]: 2.381e-05 [updatestate_depend_eliminate]: 9.99999e-06 [updatestate_assign_eliminate]: 7.53e-06 [updatestate_loads_eliminate]: 7.43999e-06 [parameter_eliminate]: 3.43e-06 [specialize_transform]: 5.408e-05 [updatestate_useless_node_eliminater]: 1.917e-05 [accelerated_algorithm]: 2.414e-05 [meta_shard_fg_expand]: 4.42e-06 [get_grad_eliminate_]: 1.482e-05 [merge_forward]: 9.42001e-06 [cell_reuse_recompute_pass]: 1.47999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.263e-05 [j_node_and_user_rematch]: 2.6e-05 [meta_fg_expand]: 6.51999e-06 [replace_old_param]: 2.313e-05 [inline_without_move]: 2.133e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 3.7e-06 [auto_monad_grad]: 2.92002e-06 [auto_monad_eliminator]: 2.123e-05 [cse]: 5.71e-05 [replace_applicator]: 2.222e-05 [py_interpret_to_execute_after_opt_a]: 2.725e-05 [rewriter_after_opt_a]: 0.00108463 [convert_after_rewriter]: 2.705e-05 [order_py_execute_after_rewriter]: 1.033e-05 [mutable_eliminate]: 0.00089279 [jit_opt_b]: 0.00042029, [2] [Cycle 1]: 0.00036042, [2] [frontend_op_eliminate]: 5.3e-05 [inline_after_opt_a]: 0.00028945 [Cycle 2]: 4.436e-05, [2] [frontend_op_eliminate]: 1.756e-05 [inline_after_opt_a]: 1.432e-05 [cconv]: 3.135e-05 [loop_unroll]: 0.0006069 [jit_opt_after_cconv]: 0.00020846, [1] [Cycle 1]: 0.00019913, [11] [c_1]: 3.397e-05 [parameter_eliminate]: 6.94999e-06 [updatestate_depend_eliminate]: 8.54e-06 [updatestate_assign_eliminate]: 4.52e-06 [updatestate_loads_eliminate]: 3.10002e-06 [cse]: 3.581e-05 [call_graph_tuple_transform]: 2.648e-05 [tuple_list_get_item_eliminator]: 9.12001e-06 [none_parameter_eliminate]: 2.14999e-06 [renormalize]: 9.49978e-07 [switch_simplify]: 7.99002e-06 [remove_dup_value]: 2.058e-05 [partial_unused_args_eliminate]: 2.62001e-06 [environ_conv]: 1.007e-05 [add_recomputation]: 5.937e-05 [cse_after_recomputation]: 3.312e-05, [1] [Cycle 1]: 2.63e-05, [1] [cse]: 1.857e-05 [auto_monad_reorder]: 1.692e-05 [get_jit_bprop_graph]: 3.11001e-06 [rewriter_after_jit_bprop_graph]: 8.32e-06 [opt_after_jit_grad]: 0.00059305 [symbol_engine_optimizer]: 9.66e-05, [1] [Cycle 1]: 8.858e-05, [6] [build]: 4.56002e-06 [elim_shapecalc]: 1.125e-05 [elim_not_effective]: 1.791e-05 [opt_reshape]: 1.093e-05 [fold_const_symbol]: 1.123e-05 [renormalize]: 3.69997e-07 [validate]: 5.713e-05 [backend_pass]: 1.19e-06 [task_emit]: 0.26135 [execute]: 8.85001e-06 Sums bootstrap : 0.000882s : 0.03% type_inference : 0.815382s : 27.27% event_method : 0.000464s : 0.02% auto_monad : 0.000123s : 0.00% graph_reusing : 0.000009s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000041s : 0.00% rewriter_before_opt_a : 0.000128s : 0.00% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000336s : 0.01% jit_opt_a.loop_unroll : 0.000133s : 0.00% jit_opt_a.a_1 : 0.003200s : 0.11% jit_opt_a.with_stream_mark : 0.000095s : 0.00% jit_opt_a.recompute_prepare : 0.000071s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000028s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000022s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000019s : 0.00% jit_opt_a.parameter_eliminate : 0.000010s : 0.00% jit_opt_a.specialize_transform : 0.000088s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000045s : 0.00% jit_opt_a.accelerated_algorithm : 0.000105s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000015s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000041s : 0.00% jit_opt_a.merge_forward : 0.000024s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000089s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000069s : 0.00% jit_opt_a.meta_fg_expand : 0.157444s : 5.27% jit_opt_a.meta_fg_expand.resolve : 0.182422s : 6.10% jit_opt_a.replace_old_param : 0.000280s : 0.01% jit_opt_a.inline_without_move : 0.000353s : 0.01% jit_opt_a.renormalize : 1.561091s : 52.21% jit_opt_a.add_forward_monad_depend : 0.000058s : 0.00% jit_opt_a.auto_monad_grad : 0.000986s : 0.03% jit_opt_a.auto_monad_eliminator : 0.000138s : 0.00% jit_opt_a.cse : 0.000313s : 0.01% jit_opt_a.replace_applicator : 0.000244s : 0.01% py_interpret_to_execute_after_opt_a : 0.000027s : 0.00% rewriter_after_opt_a : 0.001085s : 0.04% convert_after_rewriter : 0.000027s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000893s : 0.03% jit_opt_b.frontend_op_eliminate : 0.000071s : 0.00% jit_opt_b.inline_after_opt_a : 0.000304s : 0.01% cconv : 0.000031s : 0.00% loop_unroll : 0.000607s : 0.02% jit_opt_after_cconv.c_1 : 0.000034s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000036s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000026s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000009s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000008s : 0.00% remove_dup_value : 0.000021s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000010s : 0.00% add_recomputation : 0.000059s : 0.00% cse_after_recomputation.cse : 0.000019s : 0.00% auto_monad_reorder : 0.000017s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000593s : 0.02% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000018s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000057s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.261350s : 8.74% execute : 0.000009s : 0.00% Time group info: ------[substitution.] 0.182055 220 0.00% : 0.000004s : 2: substitution.elim_not_effective 0.00% : 0.000001s : 2: substitution.fold_const_symbol 99.28% : 0.180736s : 37: substitution.getattr_setattr_resolve 0.00% : 0.000007s : 4: substitution.graph_param_transform 0.43% : 0.000775s : 27: substitution.inline 0.08% : 0.000143s : 19: substitution.inline_without_move 0.01% : 0.000012s : 21: substitution.j_node_and_user_rematch 0.03% : 0.000052s : 4: substitution.less_batch_normalization 0.01% : 0.000010s : 4: substitution.minmaximum_grad 0.00% : 0.000001s : 1: substitution.opt_reshape 0.00% : 0.000003s : 2: substitution.partial_eliminate 0.01% : 0.000017s : 21: substitution.remove_not_recompute_node 0.04% : 0.000079s : 21: substitution.replace_applicator 0.01% : 0.000021s : 20: substitution.replace_old_param 0.00% : 0.000008s : 1: substitution.reset_defer_inline 0.02% : 0.000032s : 5: substitution.reshape_eliminate 0.01% : 0.000013s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.02% : 0.000039s : 4: substitution.switch_simplify 0.01% : 0.000010s : 1: substitution.transpose_eliminate 0.01% : 0.000019s : 4: substitution.tuple_list_convert_item_index_to_positive 0.01% : 0.000012s : 4: substitution.tuple_list_get_item_depend_reorder 0.03% : 0.000056s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.815289 2 99.60% : 0.812021s : 1: type_inference.infer 0.40% : 0.003267s : 1: type_inference.specialize ------[replace.] 0.001085 65 65.93% : 0.000715s : 30: replace.getattr_setattr_resolve 20.59% : 0.000223s : 25: replace.inline 8.34% : 0.000090s : 4: replace.switch_simplify 0.60% : 0.000006s : 1: replace.transpose_eliminate 4.54% : 0.000049s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.181329 65 99.55% : 0.180512s : 30: match.getattr_setattr_resolve 0.41% : 0.000752s : 25: match.inline 0.02% : 0.000036s : 4: match.switch_simplify 0.00% : 0.000008s : 1: match.transpose_eliminate 0.01% : 0.000021s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000744 4204 1.19% : 0.000009s : 57: predicate.accumulaten_eliminater 0.25% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 1.14% : 0.000009s : 57: predicate.addn_check_dump 1.10% : 0.000008s : 57: predicate.addn_zero_filter 1.51% : 0.000011s : 57: predicate.arithmetic_simplify 1.18% : 0.000009s : 58: predicate.cast_eliminate 0.32% : 0.000002s : 16: predicate.check_bprop_eliminate 1.09% : 0.000008s : 57: predicate.compare_switch_simplify 1.03% : 0.000008s : 57: predicate.depend_value_elim 1.01% : 0.000007s : 58: predicate.dict_get_item_const_eliminator 1.07% : 0.000008s : 58: predicate.dict_get_item_eliminator 1.17% : 0.000009s : 58: predicate.dict_set_item_eliminator 0.19% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.08% : 0.000001s : 4: predicate.elim_not_effective 0.14% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.06% : 0.000008s : 58: predicate.environ_add_const_eliminate 1.04% : 0.000008s : 58: predicate.environ_get_add_eliminate 1.00% : 0.000007s : 58: predicate.environ_get_depend_swap 1.07% : 0.000008s : 58: predicate.environ_get_eliminate 1.01% : 0.000007s : 58: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 4: predicate.fold_const_symbol 0.76% : 0.000006s : 33: predicate.get_grad_eliminate 18.12% : 0.000135s : 336: predicate.getattr_setattr_resolve 0.06% : 0.000000s : 4: predicate.graph_param_transform 3.61% : 0.000027s : 111: predicate.inline 4.47% : 0.000033s : 177: predicate.inline_without_move 0.34% : 0.000003s : 33: predicate.j_node_and_user_rematch 0.97% : 0.000007s : 33: predicate.less_batch_normalization 1.34% : 0.000010s : 61: predicate.list_to_tuple_eliminator_ 1.29% : 0.000010s : 65: predicate.load_eliminater 0.29% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.77% : 0.000021s : 142: predicate.loop_unroll_before_grad 1.24% : 0.000009s : 62: predicate.make_slice_get_slice_eliminator 1.08% : 0.000008s : 57: predicate.merge_addn 1.09% : 0.000008s : 57: predicate.minmaximum_grad 0.73% : 0.000005s : 12: predicate.mutable_eliminate 0.14% : 0.000001s : 4: predicate.opt_reshape 1.51% : 0.000011s : 65: predicate.partial_eliminate 1.08% : 0.000008s : 57: predicate.print_const_string_wrapper 1.45% : 0.000011s : 58: predicate.reduce_eliminate 1.15% : 0.000009s : 61: predicate.redundant_stop_gradient_eliminater 0.40% : 0.000003s : 33: predicate.remove_not_recompute_node 2.35% : 0.000018s : 153: predicate.replace_applicator 2.02% : 0.000015s : 177: predicate.replace_old_param 0.36% : 0.000003s : 24: predicate.reset_defer_inline 1.29% : 0.000010s : 58: predicate.reshape_eliminate 1.12% : 0.000008s : 57: predicate.row_tensor_add_zeros_like 0.45% : 0.000003s : 16: predicate.row_tensor_eliminate 1.05% : 0.000008s : 57: predicate.same_eliminate 0.43% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.46% : 0.000003s : 20: predicate.special_op_eliminate 0.87% : 0.000007s : 33: predicate.specialize_transform 1.28% : 0.000010s : 57: predicate.split_environ_get_set_with_tuple_value 1.05% : 0.000008s : 57: predicate.stack_unstack_eliminate 0.09% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.52% : 0.000019s : 85: predicate.switch_defer_inline 1.77% : 0.000013s : 85: predicate.switch_layer_defer_inline 5.21% : 0.000039s : 239: predicate.switch_simplify 1.24% : 0.000009s : 58: predicate.tile_eliminate 1.13% : 0.000008s : 58: predicate.transpose_eliminate 1.39% : 0.000010s : 58: predicate.tuple_list_convert_item_index_to_positive 1.34% : 0.000010s : 58: predicate.tuple_list_get_item_depend_reorder 2.77% : 0.000021s : 93: predicate.tuple_list_get_item_eliminator 1.46% : 0.000011s : 58: predicate.tuple_list_set_item_eliminator 1.28% : 0.000010s : 61: predicate.tuple_to_list_eliminator_ 1.23% : 0.000009s : 65: predicate.updatestate_pure_node_eliminater 2.18% : 0.000016s : 98: predicate.updatestate_useless_node_eliminater 1.55% : 0.000012s : 57: predicate.value_based_eliminate 0.07% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.45% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.010490 79 69.06% : 0.007245s : 44: func_graph_cloner_run.FuncGraphClonerGraph 30.94% : 0.003245s : 35: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 4.918615 103 0.00% : 0.000063s : 1: add_recomputation 0.00% : 0.000129s : 1: auto_monad 0.00% : 0.000020s : 1: auto_monad_reorder 0.00% : 0.000004s : 1: backend_pass 0.02% : 0.000922s : 1: bootstrap 0.00% : 0.000034s : 1: cconv 0.00% : 0.000032s : 1: convert_after_rewriter 0.00% : 0.000036s : 1: cse_after_recomputation 0.00% : 0.000013s : 1: environ_conv 0.01% : 0.000473s : 1: event_method 0.00% : 0.000014s : 1: execute 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 42.43% : 2.086996s : 1: jit_opt_a 0.00% : 0.000213s : 1: jit_opt_after_cconv 0.01% : 0.000424s : 1: jit_opt_b 0.01% : 0.000618s : 1: loop_unroll 0.02% : 0.000906s : 1: mutable_eliminate 0.10% : 0.004977s : 39: opt.transform.jit_opt_a 0.00% : 0.000072s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000346s : 14: opt.transform.jit_opt_b 0.00% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000034s : 1: opt.transform.mutable_eliminate 0.00% : 0.000030s : 1: opt.transform.opt_after_jit_grad 3.70% : 0.182198s : 2: opt.transform.opt_resolve 0.00% : 0.000047s : 4: opt.transform.symbol_engine_opt 0.01% : 0.000604s : 1: opt_after_jit_grad 0.00% : 0.000013s : 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% : 0.000044s : 1: py_interpret_to_execute 0.00% : 0.000030s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000023s : 1: remove_dup_value 31.31% : 1.540223s : 2: renormalize.infer 0.42% : 0.020827s : 2: renormalize.specialize 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.001097s : 1: rewriter_after_opt_a 0.00% : 0.000132s : 1: rewriter_before_opt_a 0.00% : 0.000101s : 1: symbol_engine_optimizer 5.31% : 0.261369s : 1: task_emit 16.58% : 0.815398s : 1: type_inference 0.00% : 0.000089s : 1: validate . [hook] pytest_runtest_teardown:test_reshape_vmap[64-KBK] tests/st/mint/test_reshape.py::test_reshape_vmap[64-KBK],max_mem:4.0M TotalTime = 2.36163, [33] [bootstrap]: 0.00072682 [type_inference]: 0.859145 [event_method]: 0.0006263 [auto_monad]: 0.00015411 [graph_reusing]: 1.057e-05 [pre_auto_parallel]: 3.72998e-06 [py_interpret_to_execute]: 5.579e-05 [rewriter_before_opt_a]: 0.0001458 [expand_dump_flag]: 3.89002e-06 [jit_opt_a]: 1.35119, [3] [Cycle 1]: 1.33523, [27] [switch_simplify]: 0.00010526 [loop_unroll]: 5.926e-05 [a_1]: 0.204347 [with_stream_mark]: 4.603e-05 [recompute_prepare]: 3.042e-05 [updatestate_depend_eliminate]: 7.83999e-06 [updatestate_assign_eliminate]: 5.74e-06 [updatestate_loads_eliminate]: 5.62999e-06 [parameter_eliminate]: 4.18999e-06 [specialize_transform]: 1.368e-05 [updatestate_useless_node_eliminater]: 1.261e-05 [accelerated_algorithm]: 1.263e-05 [meta_shard_fg_expand]: 7.05998e-06 [get_grad_eliminate_]: 1.191e-05 [merge_forward]: 6.64999e-06 [cell_reuse_recompute_pass]: 9.79984e-07 [cell_reuse_handle_not_recompute_node_pass]: 2.735e-05 [j_node_and_user_rematch]: 1.986e-05 [meta_fg_expand]: 0.328065, [1] [Cycle 1]: 0.316799, [1] [resolve]: 0.316749 [replace_old_param]: 0.00021144 [inline_without_move]: 0.00030194 [renormalize]: 0.800487 [add_forward_monad_depend]: 3.967e-05 [auto_monad_grad]: 0.00057274 [auto_monad_eliminator]: 8.743e-05 [cse]: 0.00018847 [replace_applicator]: 0.00017513 [Cycle 2]: 0.00947932, [27] [switch_simplify]: 0.00018783 [loop_unroll]: 6.21e-05 [a_1]: 0.00199085 [with_stream_mark]: 4.14e-05 [recompute_prepare]: 3.291e-05 [updatestate_depend_eliminate]: 1.126e-05 [updatestate_assign_eliminate]: 7.58001e-06 [updatestate_loads_eliminate]: 6.58e-06 [parameter_eliminate]: 3.80998e-06 [specialize_transform]: 2.764e-05 [updatestate_useless_node_eliminater]: 1.512e-05 [accelerated_algorithm]: 7.891e-05 [meta_shard_fg_expand]: 6.12001e-06 [get_grad_eliminate_]: 1.559e-05 [merge_forward]: 9.69999e-06 [cell_reuse_recompute_pass]: 1.51002e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.388e-05 [j_node_and_user_rematch]: 2.53e-05 [meta_fg_expand]: 0.00033523 [replace_old_param]: 3.319e-05 [inline_without_move]: 2.562e-05 [renormalize]: 0.00603783 [add_forward_monad_depend]: 1.729e-05 [auto_monad_grad]: 6.66999e-06 [auto_monad_eliminator]: 4.087e-05 [cse]: 7.718e-05 [replace_applicator]: 5.707e-05 [Cycle 3]: 0.00115358, [27] [switch_simplify]: 1.774e-05 [loop_unroll]: 1.561e-05 [a_1]: 0.0004804 [with_stream_mark]: 3.495e-05 [recompute_prepare]: 3.021e-05 [updatestate_depend_eliminate]: 1.143e-05 [updatestate_assign_eliminate]: 7.5e-06 [updatestate_loads_eliminate]: 6.67002e-06 [parameter_eliminate]: 4.37998e-06 [specialize_transform]: 2.656e-05 [updatestate_useless_node_eliminater]: 1.564e-05 [accelerated_algorithm]: 2.292e-05 [meta_shard_fg_expand]: 5.36998e-06 [get_grad_eliminate_]: 1.589e-05 [merge_forward]: 1.07e-05 [cell_reuse_recompute_pass]: 1.58002e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.555e-05 [j_node_and_user_rematch]: 2.693e-05 [meta_fg_expand]: 8.07e-06 [replace_old_param]: 2.532e-05 [inline_without_move]: 2.153e-05 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 4.53999e-06 [auto_monad_grad]: 4.07998e-06 [auto_monad_eliminator]: 3.006e-05 [cse]: 6.684e-05 [replace_applicator]: 3.256e-05 [py_interpret_to_execute_after_opt_a]: 3.049e-05 [rewriter_after_opt_a]: 0.00099533 [convert_after_rewriter]: 3.254e-05 [order_py_execute_after_rewriter]: 1.122e-05 [mutable_eliminate]: 0.00096839 [jit_opt_b]: 0.00048583, [2] [Cycle 1]: 0.00041597, [2] [frontend_op_eliminate]: 5.648e-05 [inline_after_opt_a]: 0.00033595 [Cycle 2]: 5.069e-05, [2] [frontend_op_eliminate]: 2.006e-05 [inline_after_opt_a]: 1.673e-05 [cconv]: 3.628e-05 [loop_unroll]: 0.00066214 [jit_opt_after_cconv]: 0.0002241, [1] [Cycle 1]: 0.00021596, [11] [c_1]: 3.605e-05 [parameter_eliminate]: 8.27e-06 [updatestate_depend_eliminate]: 1.06e-05 [updatestate_assign_eliminate]: 5.52999e-06 [updatestate_loads_eliminate]: 3.66999e-06 [cse]: 4.236e-05 [call_graph_tuple_transform]: 2.962e-05 [tuple_list_get_item_eliminator]: 8.73001e-06 [none_parameter_eliminate]: 1.99e-06 [renormalize]: 6.90023e-07 [switch_simplify]: 7.37002e-06 [remove_dup_value]: 2.27e-05 [partial_unused_args_eliminate]: 2.48e-06 [environ_conv]: 1.276e-05 [add_recomputation]: 6.109e-05 [cse_after_recomputation]: 3.187e-05, [1] [Cycle 1]: 2.473e-05, [1] [cse]: 1.723e-05 [auto_monad_reorder]: 1.73e-05 [get_jit_bprop_graph]: 4.14002e-06 [rewriter_after_jit_bprop_graph]: 9.41e-06 [opt_after_jit_grad]: 0.00057626 [symbol_engine_optimizer]: 9.954e-05, [1] [Cycle 1]: 9.022e-05, [6] [build]: 5.69999e-06 [elim_shapecalc]: 1.08e-05 [elim_not_effective]: 1.751e-05 [opt_reshape]: 1.152e-05 [fold_const_symbol]: 1.136e-05 [renormalize]: 1.15999e-06 [validate]: 5.978e-05 [backend_pass]: 1.30999e-06 [task_emit]: 0.144838 [execute]: 1.033e-05 Sums bootstrap : 0.000727s : 0.03% type_inference : 0.859145s : 36.66% event_method : 0.000626s : 0.03% auto_monad : 0.000154s : 0.01% graph_reusing : 0.000011s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000056s : 0.00% rewriter_before_opt_a : 0.000146s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000311s : 0.01% jit_opt_a.loop_unroll : 0.000137s : 0.01% jit_opt_a.a_1 : 0.206819s : 8.82% jit_opt_a.with_stream_mark : 0.000122s : 0.01% jit_opt_a.recompute_prepare : 0.000094s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000031s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000021s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000019s : 0.00% jit_opt_a.parameter_eliminate : 0.000012s : 0.00% jit_opt_a.specialize_transform : 0.000068s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000043s : 0.00% jit_opt_a.accelerated_algorithm : 0.000114s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000019s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000043s : 0.00% jit_opt_a.merge_forward : 0.000027s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000097s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000072s : 0.00% jit_opt_a.meta_fg_expand : 0.000343s : 0.01% jit_opt_a.meta_fg_expand.resolve : 0.316749s : 13.52% jit_opt_a.replace_old_param : 0.000270s : 0.01% jit_opt_a.inline_without_move : 0.000349s : 0.01% jit_opt_a.renormalize : 0.806525s : 34.41% jit_opt_a.add_forward_monad_depend : 0.000062s : 0.00% jit_opt_a.auto_monad_grad : 0.000583s : 0.02% jit_opt_a.auto_monad_eliminator : 0.000158s : 0.01% jit_opt_a.cse : 0.000332s : 0.01% jit_opt_a.replace_applicator : 0.000265s : 0.01% py_interpret_to_execute_after_opt_a : 0.000030s : 0.00% rewriter_after_opt_a : 0.000995s : 0.04% convert_after_rewriter : 0.000033s : 0.00% order_py_execute_after_rewriter : 0.000011s : 0.00% mutable_eliminate : 0.000968s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000077s : 0.00% jit_opt_b.inline_after_opt_a : 0.000353s : 0.02% cconv : 0.000036s : 0.00% loop_unroll : 0.000662s : 0.03% jit_opt_after_cconv.c_1 : 0.000036s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000011s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.cse : 0.000042s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000030s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000009s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000023s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000013s : 0.00% add_recomputation : 0.000061s : 0.00% cse_after_recomputation.cse : 0.000017s : 0.00% auto_monad_reorder : 0.000017s : 0.00% get_jit_bprop_graph : 0.000004s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.000576s : 0.02% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000018s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000012s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000060s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.144838s : 6.18% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 0.519202 220 0.00% : 0.000004s : 2: substitution.elim_not_effective 0.00% : 0.000001s : 2: substitution.fold_const_symbol 60.66% : 0.314940s : 37: substitution.getattr_setattr_resolve 0.00% : 0.000007s : 4: substitution.graph_param_transform 39.23% : 0.203696s : 27: substitution.inline 0.03% : 0.000138s : 19: substitution.inline_without_move 0.00% : 0.000013s : 21: substitution.j_node_and_user_rematch 0.01% : 0.000056s : 4: substitution.less_batch_normalization 0.00% : 0.000011s : 4: substitution.minmaximum_grad 0.00% : 0.000001s : 1: substitution.opt_reshape 0.00% : 0.000004s : 2: substitution.partial_eliminate 0.00% : 0.000019s : 21: substitution.remove_not_recompute_node 0.02% : 0.000085s : 21: substitution.replace_applicator 0.00% : 0.000021s : 20: substitution.replace_old_param 0.00% : 0.000010s : 1: substitution.reset_defer_inline 0.01% : 0.000042s : 5: substitution.reshape_eliminate 0.00% : 0.000017s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000009s : 2: substitution.specialize_transform 0.00% : 0.000015s : 4: substitution.switch_simplify 0.00% : 0.000011s : 1: substitution.transpose_eliminate 0.00% : 0.000020s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000014s : 4: substitution.tuple_list_get_item_depend_reorder 0.01% : 0.000069s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.858989 2 99.52% : 0.854854s : 1: type_inference.infer 0.48% : 0.004135s : 1: type_inference.specialize ------[replace.] 0.001237 65 62.80% : 0.000777s : 30: replace.getattr_setattr_resolve 25.20% : 0.000312s : 25: replace.inline 6.94% : 0.000086s : 4: replace.switch_simplify 0.58% : 0.000007s : 1: replace.transpose_eliminate 4.48% : 0.000055s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.518423 65 60.70% : 0.314706s : 30: match.getattr_setattr_resolve 39.29% : 0.203664s : 25: match.inline 0.00% : 0.000012s : 4: match.switch_simplify 0.00% : 0.000010s : 1: match.transpose_eliminate 0.01% : 0.000030s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000792 4204 1.10% : 0.000009s : 57: predicate.accumulaten_eliminater 0.22% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 1.12% : 0.000009s : 57: predicate.addn_check_dump 1.17% : 0.000009s : 57: predicate.addn_zero_filter 1.58% : 0.000013s : 57: predicate.arithmetic_simplify 1.11% : 0.000009s : 58: predicate.cast_eliminate 0.32% : 0.000003s : 16: predicate.check_bprop_eliminate 0.97% : 0.000008s : 57: predicate.compare_switch_simplify 1.13% : 0.000009s : 57: predicate.depend_value_elim 0.95% : 0.000008s : 58: predicate.dict_get_item_const_eliminator 1.13% : 0.000009s : 58: predicate.dict_get_item_eliminator 1.13% : 0.000009s : 58: predicate.dict_set_item_eliminator 0.21% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.10% : 0.000001s : 4: predicate.elim_not_effective 0.11% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.11% : 0.000009s : 58: predicate.environ_add_const_eliminate 1.03% : 0.000008s : 58: predicate.environ_get_add_eliminate 0.98% : 0.000008s : 58: predicate.environ_get_depend_swap 1.00% : 0.000008s : 58: predicate.environ_get_eliminate 1.01% : 0.000008s : 58: predicate.environ_get_set_eliminate 0.06% : 0.000000s : 4: predicate.fold_const_symbol 0.69% : 0.000005s : 33: predicate.get_grad_eliminate 18.94% : 0.000150s : 336: predicate.getattr_setattr_resolve 0.08% : 0.000001s : 4: predicate.graph_param_transform 4.13% : 0.000033s : 111: predicate.inline 4.11% : 0.000033s : 177: predicate.inline_without_move 0.31% : 0.000002s : 33: predicate.j_node_and_user_rematch 1.10% : 0.000009s : 33: predicate.less_batch_normalization 1.13% : 0.000009s : 61: predicate.list_to_tuple_eliminator_ 1.21% : 0.000010s : 65: predicate.load_eliminater 0.47% : 0.000004s : 4: predicate.loop_unroll_after_grad 2.66% : 0.000021s : 142: predicate.loop_unroll_before_grad 1.22% : 0.000010s : 62: predicate.make_slice_get_slice_eliminator 0.91% : 0.000007s : 57: predicate.merge_addn 1.11% : 0.000009s : 57: predicate.minmaximum_grad 0.99% : 0.000008s : 12: predicate.mutable_eliminate 0.16% : 0.000001s : 4: predicate.opt_reshape 1.56% : 0.000012s : 65: predicate.partial_eliminate 1.06% : 0.000008s : 57: predicate.print_const_string_wrapper 1.39% : 0.000011s : 58: predicate.reduce_eliminate 1.16% : 0.000009s : 61: predicate.redundant_stop_gradient_eliminater 0.40% : 0.000003s : 33: predicate.remove_not_recompute_node 2.11% : 0.000017s : 153: predicate.replace_applicator 1.86% : 0.000015s : 177: predicate.replace_old_param 0.36% : 0.000003s : 24: predicate.reset_defer_inline 1.41% : 0.000011s : 58: predicate.reshape_eliminate 1.13% : 0.000009s : 57: predicate.row_tensor_add_zeros_like 0.49% : 0.000004s : 16: predicate.row_tensor_eliminate 1.08% : 0.000009s : 57: predicate.same_eliminate 0.47% : 0.000004s : 33: predicate.set_cell_output_no_recompute 0.47% : 0.000004s : 20: predicate.special_op_eliminate 0.76% : 0.000006s : 33: predicate.specialize_transform 1.25% : 0.000010s : 57: predicate.split_environ_get_set_with_tuple_value 1.04% : 0.000008s : 57: predicate.stack_unstack_eliminate 0.11% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.41% : 0.000019s : 85: predicate.switch_defer_inline 1.92% : 0.000015s : 85: predicate.switch_layer_defer_inline 4.97% : 0.000039s : 239: predicate.switch_simplify 1.18% : 0.000009s : 58: predicate.tile_eliminate 1.08% : 0.000009s : 58: predicate.transpose_eliminate 1.25% : 0.000010s : 58: predicate.tuple_list_convert_item_index_to_positive 1.19% : 0.000009s : 58: predicate.tuple_list_get_item_depend_reorder 2.92% : 0.000023s : 93: predicate.tuple_list_get_item_eliminator 1.34% : 0.000011s : 58: predicate.tuple_list_set_item_eliminator 1.44% : 0.000011s : 61: predicate.tuple_to_list_eliminator_ 1.25% : 0.000010s : 65: predicate.updatestate_pure_node_eliminater 2.19% : 0.000017s : 98: predicate.updatestate_useless_node_eliminater 1.47% : 0.000012s : 57: predicate.value_based_eliminate 0.06% : 0.000000s : 4: predicate.virtual_view_grad_eliminate 0.47% : 0.000004s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.009912 79 69.59% : 0.006898s : 44: func_graph_cloner_run.FuncGraphClonerGraph 30.41% : 0.003014s : 35: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.693755 103 0.00% : 0.000066s : 1: add_recomputation 0.00% : 0.000163s : 1: auto_monad 0.00% : 0.000020s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.02% : 0.000760s : 1: bootstrap 0.00% : 0.000040s : 1: cconv 0.00% : 0.000039s : 1: convert_after_rewriter 0.00% : 0.000034s : 1: cse_after_recomputation 0.00% : 0.000016s : 1: environ_conv 0.02% : 0.000642s : 1: event_method 0.00% : 0.000017s : 1: execute 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000007s : 1: get_jit_bprop_graph 0.00% : 0.000014s : 1: graph_reusing 36.58% : 1.351194s : 1: jit_opt_a 0.01% : 0.000229s : 1: jit_opt_after_cconv 0.01% : 0.000490s : 1: jit_opt_b 0.02% : 0.000676s : 1: loop_unroll 0.03% : 0.000988s : 1: mutable_eliminate 5.65% : 0.208598s : 39: opt.transform.jit_opt_a 0.00% : 0.000076s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000394s : 14: opt.transform.jit_opt_b 0.00% : 0.000022s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000046s : 1: opt.transform.mutable_eliminate 0.00% : 0.000032s : 1: opt.transform.opt_after_jit_grad 8.57% : 0.316497s : 2: opt.transform.opt_resolve 0.00% : 0.000047s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000589s : 1: opt_after_jit_grad 0.00% : 0.000014s : 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% : 0.000059s : 1: py_interpret_to_execute 0.00% : 0.000034s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000026s : 1: remove_dup_value 21.25% : 0.785052s : 2: renormalize.infer 0.58% : 0.021431s : 2: renormalize.specialize 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.001010s : 1: rewriter_after_opt_a 0.00% : 0.000150s : 1: rewriter_before_opt_a 0.00% : 0.000104s : 1: symbol_engine_optimizer 3.92% : 0.144860s : 1: task_emit 23.26% : 0.859175s : 1: type_inference 0.00% : 0.000110s : 1: validate . [hook] pytest_runtest_teardown:test_reshape_vmap[128-pynative] tests/st/mint/test_reshape.py::test_reshape_vmap[128-pynative],max_mem:4.0M [WARNING] ME(167441:281473617391408,MainProcess):2026-01-29-17:41:48.527.678 [mindspore/graph/api.py:1147] The func .after_vmap at 0xfffee402aee0> should be wrapped by jit only once. [WARNING] ME(167441:281473617391408,MainProcess):2026-01-29-17:41:48.529.267 [mindspore/graph/api.py:128] The function "after_vmap" at the file "/home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/graph/api.py", line 1152 has been compiled again. Try to reuse the function object decorated by @jit to reduce the compile time. For more details, get instructions about `jit` at https://www.mindspore.cn/search?inputValue=jit. TotalTime = 2.41192, [33] [bootstrap]: 0.00070269 [type_inference]: 0.546486 [event_method]: 0.00066067 [auto_monad]: 0.152854 [graph_reusing]: 1.048e-05 [pre_auto_parallel]: 6.17999e-06 [py_interpret_to_execute]: 8.629e-05 [rewriter_before_opt_a]: 0.00016836 [expand_dump_flag]: 3.68e-06 [jit_opt_a]: 1.40288, [3] [Cycle 1]: 1.38927, [27] [switch_simplify]: 9.949e-05 [loop_unroll]: 6.117e-05 [a_1]: 0.00139242 [with_stream_mark]: 3.634e-05 [recompute_prepare]: 2.237e-05 [updatestate_depend_eliminate]: 8.80001e-06 [updatestate_assign_eliminate]: 5.48002e-06 [updatestate_loads_eliminate]: 4.90001e-06 [parameter_eliminate]: 2.63e-06 [specialize_transform]: 1.258e-05 [updatestate_useless_node_eliminater]: 1.128e-05 [accelerated_algorithm]: 1.231e-05 [meta_shard_fg_expand]: 4.67e-06 [get_grad_eliminate_]: 1.357e-05 [merge_forward]: 6.39001e-06 [cell_reuse_recompute_pass]: 1.10001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.801e-05 [j_node_and_user_rematch]: 1.947e-05 [meta_fg_expand]: 0.391834, [1] [Cycle 1]: 0.38121, [1] [resolve]: 0.38116 [replace_old_param]: 0.00019672 [inline_without_move]: 0.00031259 [renormalize]: 0.993868 [add_forward_monad_depend]: 3.898e-05 [auto_monad_grad]: 0.00048201 [auto_monad_eliminator]: 8.214e-05 [cse]: 0.00018231 [replace_applicator]: 0.00018601 [Cycle 2]: 0.00766467, [27] [switch_simplify]: 0.00017807 [loop_unroll]: 5.745e-05 [a_1]: 0.00137496 [with_stream_mark]: 3.129e-05 [recompute_prepare]: 2.534e-05 [updatestate_depend_eliminate]: 1.068e-05 [updatestate_assign_eliminate]: 7.38e-06 [updatestate_loads_eliminate]: 6.80998e-06 [parameter_eliminate]: 3.76999e-06 [specialize_transform]: 2.223e-05 [updatestate_useless_node_eliminater]: 1.504e-05 [accelerated_algorithm]: 6.91e-05 [meta_shard_fg_expand]: 5.72001e-06 [get_grad_eliminate_]: 1.528e-05 [merge_forward]: 8.05999e-06 [cell_reuse_recompute_pass]: 1.30999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.257e-05 [j_node_and_user_rematch]: 2.562e-05 [meta_fg_expand]: 0.00029945 [replace_old_param]: 2.938e-05 [inline_without_move]: 2.305e-05 [renormalize]: 0.00502536 [add_forward_monad_depend]: 1.041e-05 [auto_monad_grad]: 5.18002e-06 [auto_monad_eliminator]: 2.955e-05 [cse]: 6.698e-05 [replace_applicator]: 4.488e-05 [Cycle 3]: 0.00098958, [27] [switch_simplify]: 1.718e-05 [loop_unroll]: 1.579e-05 [a_1]: 0.00046653 [with_stream_mark]: 2.597e-05 [recompute_prepare]: 2.375e-05 [updatestate_depend_eliminate]: 1.074e-05 [updatestate_assign_eliminate]: 7.28e-06 [updatestate_loads_eliminate]: 6.35002e-06 [parameter_eliminate]: 3.51001e-06 [specialize_transform]: 2.112e-05 [updatestate_useless_node_eliminater]: 1.455e-05 [accelerated_algorithm]: 2.086e-05 [meta_shard_fg_expand]: 4.83001e-06 [get_grad_eliminate_]: 1.43e-05 [merge_forward]: 8.33999e-06 [cell_reuse_recompute_pass]: 9.89996e-07 [cell_reuse_handle_not_recompute_node_pass]: 3.145e-05 [j_node_and_user_rematch]: 2.399e-05 [meta_fg_expand]: 6.24001e-06 [replace_old_param]: 1.922e-05 [inline_without_move]: 1.818e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.75997e-06 [auto_monad_grad]: 2.84999e-06 [auto_monad_eliminator]: 1.784e-05 [cse]: 4.491e-05 [replace_applicator]: 1.977e-05 [py_interpret_to_execute_after_opt_a]: 2.468e-05 [rewriter_after_opt_a]: 0.00077039 [convert_after_rewriter]: 2.508e-05 [order_py_execute_after_rewriter]: 9.89999e-06 [mutable_eliminate]: 0.0008402 [jit_opt_b]: 0.00041621, [2] [Cycle 1]: 0.00035569, [2] [frontend_op_eliminate]: 5.129e-05 [inline_after_opt_a]: 0.00028313 [Cycle 2]: 4.418e-05, [2] [frontend_op_eliminate]: 1.731e-05 [inline_after_opt_a]: 1.434e-05 [cconv]: 3.002e-05 [loop_unroll]: 0.00054666 [jit_opt_after_cconv]: 0.00020244, [1] [Cycle 1]: 0.00019428, [11] [c_1]: 3.233e-05 [parameter_eliminate]: 6.74001e-06 [updatestate_depend_eliminate]: 1.025e-05 [updatestate_assign_eliminate]: 5.35001e-06 [updatestate_loads_eliminate]: 3.10998e-06 [cse]: 3.859e-05 [call_graph_tuple_transform]: 2.409e-05 [tuple_list_get_item_eliminator]: 8.36002e-06 [none_parameter_eliminate]: 1.60999e-06 [renormalize]: 9.10019e-07 [switch_simplify]: 7.23e-06 [remove_dup_value]: 1.945e-05 [partial_unused_args_eliminate]: 2.31e-06 [environ_conv]: 9.97001e-06 [add_recomputation]: 5.388e-05 [cse_after_recomputation]: 2.746e-05, [1] [Cycle 1]: 2.151e-05, [1] [cse]: 1.531e-05 [auto_monad_reorder]: 1.606e-05 [get_jit_bprop_graph]: 3.38e-06 [rewriter_after_jit_bprop_graph]: 7.85e-06 [opt_after_jit_grad]: 0.00062297 [symbol_engine_optimizer]: 9.836e-05, [1] [Cycle 1]: 8.946e-05, [6] [build]: 4.82e-06 [elim_shapecalc]: 1.136e-05 [elim_not_effective]: 1.701e-05 [opt_reshape]: 1.095e-05 [fold_const_symbol]: 1.183e-05 [renormalize]: 4.39992e-07 [validate]: 5.326e-05 [backend_pass]: 1.20001e-06 [task_emit]: 0.303877 [execute]: 9.61e-06 Sums bootstrap : 0.000703s : 0.03% type_inference : 0.546486s : 22.82% event_method : 0.000661s : 0.03% auto_monad : 0.152854s : 6.38% graph_reusing : 0.000010s : 0.00% pre_auto_parallel : 0.000006s : 0.00% py_interpret_to_execute : 0.000086s : 0.00% rewriter_before_opt_a : 0.000168s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000295s : 0.01% jit_opt_a.loop_unroll : 0.000134s : 0.01% jit_opt_a.a_1 : 0.003234s : 0.14% jit_opt_a.with_stream_mark : 0.000094s : 0.00% jit_opt_a.recompute_prepare : 0.000071s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000030s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000020s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000018s : 0.00% jit_opt_a.parameter_eliminate : 0.000010s : 0.00% jit_opt_a.specialize_transform : 0.000056s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000041s : 0.00% jit_opt_a.accelerated_algorithm : 0.000102s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000015s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000043s : 0.00% jit_opt_a.merge_forward : 0.000023s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000092s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000069s : 0.00% jit_opt_a.meta_fg_expand : 0.000306s : 0.01% jit_opt_a.meta_fg_expand.resolve : 0.381160s : 15.91% jit_opt_a.replace_old_param : 0.000245s : 0.01% jit_opt_a.inline_without_move : 0.000354s : 0.01% jit_opt_a.renormalize : 0.998894s : 41.71% jit_opt_a.add_forward_monad_depend : 0.000052s : 0.00% jit_opt_a.auto_monad_grad : 0.000490s : 0.02% jit_opt_a.auto_monad_eliminator : 0.000130s : 0.01% jit_opt_a.cse : 0.000294s : 0.01% jit_opt_a.replace_applicator : 0.000251s : 0.01% py_interpret_to_execute_after_opt_a : 0.000025s : 0.00% rewriter_after_opt_a : 0.000770s : 0.03% convert_after_rewriter : 0.000025s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000840s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000069s : 0.00% jit_opt_b.inline_after_opt_a : 0.000297s : 0.01% cconv : 0.000030s : 0.00% loop_unroll : 0.000547s : 0.02% jit_opt_after_cconv.c_1 : 0.000032s : 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 : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000039s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000024s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000008s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000010s : 0.00% add_recomputation : 0.000054s : 0.00% cse_after_recomputation.cse : 0.000015s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000008s : 0.00% opt_after_jit_grad : 0.000623s : 0.03% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000017s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000012s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000053s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.303877s : 12.69% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 0.380608 220 0.00% : 0.000004s : 2: substitution.elim_not_effective 0.00% : 0.000002s : 2: substitution.fold_const_symbol 99.64% : 0.379230s : 37: substitution.getattr_setattr_resolve 0.00% : 0.000006s : 4: substitution.graph_param_transform 0.22% : 0.000837s : 27: substitution.inline 0.04% : 0.000142s : 19: substitution.inline_without_move 0.00% : 0.000012s : 21: substitution.j_node_and_user_rematch 0.01% : 0.000050s : 4: substitution.less_batch_normalization 0.00% : 0.000008s : 4: substitution.minmaximum_grad 0.00% : 0.000001s : 1: substitution.opt_reshape 0.00% : 0.000003s : 2: substitution.partial_eliminate 0.00% : 0.000018s : 21: substitution.remove_not_recompute_node 0.02% : 0.000080s : 21: substitution.replace_applicator 0.01% : 0.000020s : 20: substitution.replace_old_param 0.00% : 0.000007s : 1: substitution.reset_defer_inline 0.01% : 0.000036s : 5: substitution.reshape_eliminate 0.00% : 0.000012s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000008s : 2: substitution.specialize_transform 0.00% : 0.000016s : 4: substitution.switch_simplify 0.00% : 0.000010s : 1: substitution.transpose_eliminate 0.00% : 0.000018s : 4: substitution.tuple_list_convert_item_index_to_positive 0.01% : 0.000027s : 4: substitution.tuple_list_get_item_depend_reorder 0.02% : 0.000059s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.546294 2 99.32% : 0.542555s : 1: type_inference.infer 0.68% : 0.003739s : 1: type_inference.specialize ------[replace.] 0.001154 65 69.36% : 0.000800s : 30: replace.getattr_setattr_resolve 19.51% : 0.000225s : 25: replace.inline 6.48% : 0.000075s : 4: replace.switch_simplify 0.58% : 0.000007s : 1: replace.transpose_eliminate 4.06% : 0.000047s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.379856 65 99.77% : 0.378997s : 30: match.getattr_setattr_resolve 0.21% : 0.000813s : 25: match.inline 0.00% : 0.000013s : 4: match.switch_simplify 0.00% : 0.000009s : 1: match.transpose_eliminate 0.01% : 0.000023s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000774 4204 1.12% : 0.000009s : 57: predicate.accumulaten_eliminater 0.27% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.96% : 0.000007s : 57: predicate.addn_check_dump 1.14% : 0.000009s : 57: predicate.addn_zero_filter 1.43% : 0.000011s : 57: predicate.arithmetic_simplify 1.20% : 0.000009s : 58: predicate.cast_eliminate 0.31% : 0.000002s : 16: predicate.check_bprop_eliminate 0.96% : 0.000007s : 57: predicate.compare_switch_simplify 1.11% : 0.000009s : 57: predicate.depend_value_elim 0.97% : 0.000008s : 58: predicate.dict_get_item_const_eliminator 1.13% : 0.000009s : 58: predicate.dict_get_item_eliminator 1.01% : 0.000008s : 58: predicate.dict_set_item_eliminator 0.19% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.14% : 0.000001s : 4: predicate.elim_not_effective 0.13% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.16% : 0.000009s : 58: predicate.environ_add_const_eliminate 0.99% : 0.000008s : 58: predicate.environ_get_add_eliminate 0.99% : 0.000008s : 58: predicate.environ_get_depend_swap 1.01% : 0.000008s : 58: predicate.environ_get_eliminate 1.01% : 0.000008s : 58: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 4: predicate.fold_const_symbol 0.74% : 0.000006s : 33: predicate.get_grad_eliminate 19.77% : 0.000153s : 336: predicate.getattr_setattr_resolve 0.07% : 0.000001s : 4: predicate.graph_param_transform 3.60% : 0.000028s : 111: predicate.inline 4.08% : 0.000032s : 177: predicate.inline_without_move 0.33% : 0.000003s : 33: predicate.j_node_and_user_rematch 0.98% : 0.000008s : 33: predicate.less_batch_normalization 1.11% : 0.000009s : 61: predicate.list_to_tuple_eliminator_ 1.25% : 0.000010s : 65: predicate.load_eliminater 0.30% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.71% : 0.000021s : 142: predicate.loop_unroll_before_grad 1.26% : 0.000010s : 62: predicate.make_slice_get_slice_eliminator 1.03% : 0.000008s : 57: predicate.merge_addn 1.08% : 0.000008s : 57: predicate.minmaximum_grad 0.67% : 0.000005s : 12: predicate.mutable_eliminate 0.13% : 0.000001s : 4: predicate.opt_reshape 1.47% : 0.000011s : 65: predicate.partial_eliminate 1.07% : 0.000008s : 57: predicate.print_const_string_wrapper 1.45% : 0.000011s : 58: predicate.reduce_eliminate 1.14% : 0.000009s : 61: predicate.redundant_stop_gradient_eliminater 0.40% : 0.000003s : 33: predicate.remove_not_recompute_node 3.85% : 0.000030s : 153: predicate.replace_applicator 1.84% : 0.000014s : 177: predicate.replace_old_param 0.34% : 0.000003s : 24: predicate.reset_defer_inline 1.15% : 0.000009s : 58: predicate.reshape_eliminate 1.09% : 0.000008s : 57: predicate.row_tensor_add_zeros_like 0.51% : 0.000004s : 16: predicate.row_tensor_eliminate 1.10% : 0.000009s : 57: predicate.same_eliminate 0.43% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.42% : 0.000003s : 20: predicate.special_op_eliminate 0.76% : 0.000006s : 33: predicate.specialize_transform 1.18% : 0.000009s : 57: predicate.split_environ_get_set_with_tuple_value 1.03% : 0.000008s : 57: predicate.stack_unstack_eliminate 0.11% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.03% : 0.000016s : 85: predicate.switch_defer_inline 1.72% : 0.000013s : 85: predicate.switch_layer_defer_inline 5.05% : 0.000039s : 239: predicate.switch_simplify 1.05% : 0.000008s : 58: predicate.tile_eliminate 1.12% : 0.000009s : 58: predicate.transpose_eliminate 1.37% : 0.000011s : 58: predicate.tuple_list_convert_item_index_to_positive 1.37% : 0.000011s : 58: predicate.tuple_list_get_item_depend_reorder 2.69% : 0.000021s : 93: predicate.tuple_list_get_item_eliminator 1.53% : 0.000012s : 58: predicate.tuple_list_set_item_eliminator 1.17% : 0.000009s : 61: predicate.tuple_to_list_eliminator_ 1.17% : 0.000009s : 65: predicate.updatestate_pure_node_eliminater 1.99% : 0.000015s : 98: predicate.updatestate_useless_node_eliminater 1.45% : 0.000011s : 57: predicate.value_based_eliminate 0.08% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.48% : 0.000004s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.092522 79 97.24% : 0.089966s : 44: func_graph_cloner_run.FuncGraphClonerGraph 2.76% : 0.002556s : 35: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.796991 103 0.00% : 0.000057s : 1: add_recomputation 4.03% : 0.152884s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.02% : 0.000741s : 1: bootstrap 0.00% : 0.000033s : 1: cconv 0.00% : 0.000030s : 1: convert_after_rewriter 0.00% : 0.000030s : 1: cse_after_recomputation 0.00% : 0.000013s : 1: environ_conv 0.02% : 0.000677s : 1: event_method 0.00% : 0.000015s : 1: execute 0.00% : 0.000008s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000016s : 1: graph_reusing 36.95% : 1.402886s : 1: jit_opt_a 0.01% : 0.000207s : 1: jit_opt_after_cconv 0.01% : 0.000420s : 1: jit_opt_b 0.01% : 0.000557s : 1: loop_unroll 0.02% : 0.000853s : 1: mutable_eliminate 0.13% : 0.004915s : 39: opt.transform.jit_opt_a 0.00% : 0.000067s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000338s : 14: opt.transform.jit_opt_b 0.00% : 0.000017s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000032s : 1: opt.transform.mutable_eliminate 0.00% : 0.000031s : 1: opt.transform.opt_after_jit_grad 10.03% : 0.380845s : 2: opt.transform.opt_resolve 0.00% : 0.000047s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000634s : 1: opt_after_jit_grad 0.00% : 0.000012s : 1: order_py_execute_after_rewriter 0.00% : 0.000004s : 1: partial_unused_args_eliminate 0.00% : 0.000009s : 1: pre_auto_parallel 0.00% : 0.000090s : 1: py_interpret_to_execute 0.00% : 0.000028s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 22.33% : 0.847777s : 2: renormalize.infer 3.98% : 0.151081s : 2: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000779s : 1: rewriter_after_opt_a 0.00% : 0.000172s : 1: rewriter_before_opt_a 0.00% : 0.000103s : 1: symbol_engine_optimizer 8.00% : 0.303904s : 1: task_emit 14.39% : 0.546520s : 1: type_inference 0.00% : 0.000097s : 1: validate . [hook] pytest_runtest_teardown:test_reshape_vmap[128-KBK] tests/st/mint/test_reshape.py::test_reshape_vmap[128-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 ================= 10 passed, 25 warnings in 299.34s (0:04:59) ==================