==================================================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_008/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_squeeze.py [WARNING] PARSER(165457,ffffaa989f30,python3.9):2026-01-29-17:40:17.926.673 [mindspore/ccsrc/frontend/jit/ps/parse/data_converter.cc:661] CheckAPI] The mint interface squeeze was called, and the operators under this interface have different view capabilities on pynative and graph mode. Use this interface with caution in graph mode, as it may produce unexpected results. For more information, please refer to: https://www.mindspore.cn/docs/en/master/features/view.html TotalTime = 78.5421, [33] [bootstrap]: 0.0006468 [type_inference]: 6.56691 [event_method]: 0.00053725 [auto_monad]: 0.0001835 [graph_reusing]: 8.48999e-06 [pre_auto_parallel]: 1.364e-05 [py_interpret_to_execute]: 5.437e-05 [rewriter_before_opt_a]: 0.0001511 [expand_dump_flag]: 3.75998e-06 [jit_opt_a]: 12.2671, [3] [Cycle 1]: 12.2472, [27] [switch_simplify]: 0.0001117 [loop_unroll]: 5.329e-05 [a_1]: 0.00116438 [with_stream_mark]: 4.04e-05 [recompute_prepare]: 1.942e-05 [updatestate_depend_eliminate]: 7.6e-06 [updatestate_assign_eliminate]: 5.66998e-06 [updatestate_loads_eliminate]: 5.12999e-06 [parameter_eliminate]: 2.88998e-06 [specialize_transform]: 1.284e-05 [updatestate_useless_node_eliminater]: 1.219e-05 [accelerated_algorithm]: 1.153e-05 [meta_shard_fg_expand]: 4.87998e-06 [get_grad_eliminate_]: 1.199e-05 [merge_forward]: 6.49999e-06 [cell_reuse_recompute_pass]: 1.34e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.076e-05 [j_node_and_user_rematch]: 1.696e-05 [meta_fg_expand]: 6.62589, [1] [Cycle 1]: 4.67099, [1] [resolve]: 4.67094 [replace_old_param]: 0.00031382 [inline_without_move]: 0.00048568 [renormalize]: 5.61681 [add_forward_monad_depend]: 2.774e-05 [auto_monad_grad]: 0.00122282 [auto_monad_eliminator]: 0.00010977 [cse]: 0.00028244 [replace_applicator]: 0.0002097 [Cycle 2]: 0.0101582, [27] [switch_simplify]: 0.00022088 [loop_unroll]: 8.257e-05 [a_1]: 0.00219929 [with_stream_mark]: 3.361e-05 [recompute_prepare]: 2.48e-05 [updatestate_depend_eliminate]: 1.044e-05 [updatestate_assign_eliminate]: 7.25998e-06 [updatestate_loads_eliminate]: 6.88e-06 [parameter_eliminate]: 3.35e-06 [specialize_transform]: 2.064e-05 [updatestate_useless_node_eliminater]: 1.391e-05 [accelerated_algorithm]: 5.923e-05 [meta_shard_fg_expand]: 6.34001e-06 [get_grad_eliminate_]: 1.473e-05 [merge_forward]: 8.05e-06 [cell_reuse_recompute_pass]: 1.04998e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.782e-05 [j_node_and_user_rematch]: 2.235e-05 [meta_fg_expand]: 0.00027214 [replace_old_param]: 2.503e-05 [inline_without_move]: 1.895e-05 [renormalize]: 0.00670352 [add_forward_monad_depend]: 1.161e-05 [auto_monad_grad]: 4.42e-06 [auto_monad_eliminator]: 3.057e-05 [cse]: 6.742e-05 [replace_applicator]: 4.211e-05 [Cycle 3]: 0.0008735, [27] [switch_simplify]: 1.584e-05 [loop_unroll]: 1.474e-05 [a_1]: 0.00040769 [with_stream_mark]: 2.193e-05 [recompute_prepare]: 1.975e-05 [updatestate_depend_eliminate]: 9.28002e-06 [updatestate_assign_eliminate]: 6.46999e-06 [updatestate_loads_eliminate]: 6.74999e-06 [parameter_eliminate]: 2.73998e-06 [specialize_transform]: 1.963e-05 [updatestate_useless_node_eliminater]: 1.427e-05 [accelerated_algorithm]: 2.049e-05 [meta_shard_fg_expand]: 3.4e-06 [get_grad_eliminate_]: 1.443e-05 [merge_forward]: 7.97998e-06 [cell_reuse_recompute_pass]: 8.90024e-07 [cell_reuse_handle_not_recompute_node_pass]: 2.884e-05 [j_node_and_user_rematch]: 2.268e-05 [meta_fg_expand]: 5.59998e-06 [replace_old_param]: 1.864e-05 [inline_without_move]: 1.62e-05 [renormalize]: 7.99773e-08 [add_forward_monad_depend]: 1.41002e-06 [auto_monad_grad]: 2.02001e-06 [auto_monad_eliminator]: 1.531e-05 [cse]: 3.58e-05 [replace_applicator]: 1.699e-05 [py_interpret_to_execute_after_opt_a]: 2.227e-05 [rewriter_after_opt_a]: 0.834924 [convert_after_rewriter]: 7.411e-05 [order_py_execute_after_rewriter]: 1.118e-05 [mutable_eliminate]: 0.00085158 [jit_opt_b]: 0.00040608, [2] [Cycle 1]: 0.00035079, [2] [frontend_op_eliminate]: 4.794e-05 [inline_after_opt_a]: 0.0002836 [Cycle 2]: 4.254e-05, [2] [frontend_op_eliminate]: 1.661e-05 [inline_after_opt_a]: 1.389e-05 [cconv]: 3.245e-05 [loop_unroll]: 0.00050044 [jit_opt_after_cconv]: 0.00019949, [1] [Cycle 1]: 0.00019252, [11] [c_1]: 3.181e-05 [parameter_eliminate]: 6.41e-06 [updatestate_depend_eliminate]: 7.85e-06 [updatestate_assign_eliminate]: 3.58e-06 [updatestate_loads_eliminate]: 2.96999e-06 [cse]: 4.168e-05 [call_graph_tuple_transform]: 2.471e-05 [tuple_list_get_item_eliminator]: 7.23e-06 [none_parameter_eliminate]: 1.79e-06 [renormalize]: 4.80009e-07 [switch_simplify]: 8.62e-06 [remove_dup_value]: 1.964e-05 [partial_unused_args_eliminate]: 2.46998e-06 [environ_conv]: 2.596e-05 [add_recomputation]: 5.816e-05 [cse_after_recomputation]: 2.609e-05, [1] [Cycle 1]: 1.983e-05, [1] [cse]: 1.328e-05 [auto_monad_reorder]: 2.405e-05 [get_jit_bprop_graph]: 2.57001e-06 [rewriter_after_jit_bprop_graph]: 3.70998e-06 [opt_after_jit_grad]: 0.00051555 [symbol_engine_optimizer]: 8.889e-05, [1] [Cycle 1]: 8.018e-05, [6] [build]: 5.49e-06 [elim_shapecalc]: 9.37001e-06 [elim_not_effective]: 1.718e-05 [opt_reshape]: 8.3e-06 [fold_const_symbol]: 9.69e-06 [renormalize]: 4.30009e-07 [validate]: 7.603e-05 [backend_pass]: 1.40999e-06 [task_emit]: 58.8674 [execute]: 1.126e-05 Sums bootstrap : 0.000647s : 0.00% type_inference : 6.566905s : 8.58% event_method : 0.000537s : 0.00% auto_monad : 0.000184s : 0.00% graph_reusing : 0.000008s : 0.00% pre_auto_parallel : 0.000014s : 0.00% py_interpret_to_execute : 0.000054s : 0.00% rewriter_before_opt_a : 0.000151s : 0.00% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000348s : 0.00% jit_opt_a.loop_unroll : 0.000151s : 0.00% jit_opt_a.a_1 : 0.003771s : 0.00% jit_opt_a.with_stream_mark : 0.000096s : 0.00% jit_opt_a.recompute_prepare : 0.000064s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000027s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000019s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000019s : 0.00% jit_opt_a.parameter_eliminate : 0.000009s : 0.00% jit_opt_a.specialize_transform : 0.000053s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000040s : 0.00% jit_opt_a.accelerated_algorithm : 0.000091s : 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 : 0.000023s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000087s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000062s : 0.00% jit_opt_a.meta_fg_expand : 0.000278s : 0.00% jit_opt_a.meta_fg_expand.resolve : 4.670943s : 6.10% jit_opt_a.replace_old_param : 0.000357s : 0.00% jit_opt_a.inline_without_move : 0.000521s : 0.00% jit_opt_a.renormalize : 5.623518s : 7.34% jit_opt_a.add_forward_monad_depend : 0.000041s : 0.00% jit_opt_a.auto_monad_grad : 0.001229s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000156s : 0.00% jit_opt_a.cse : 0.000386s : 0.00% jit_opt_a.replace_applicator : 0.000269s : 0.00% py_interpret_to_execute_after_opt_a : 0.000022s : 0.00% rewriter_after_opt_a : 0.834924s : 1.09% convert_after_rewriter : 0.000074s : 0.00% order_py_execute_after_rewriter : 0.000011s : 0.00% mutable_eliminate : 0.000852s : 0.00% jit_opt_b.frontend_op_eliminate : 0.000065s : 0.00% jit_opt_b.inline_after_opt_a : 0.000297s : 0.00% cconv : 0.000032s : 0.00% loop_unroll : 0.000500s : 0.00% 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 : 0.000008s : 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 : 0.000007s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000009s : 0.00% remove_dup_value : 0.000020s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000026s : 0.00% add_recomputation : 0.000058s : 0.00% cse_after_recomputation.cse : 0.000013s : 0.00% auto_monad_reorder : 0.000024s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000004s : 0.00% opt_after_jit_grad : 0.000516s : 0.00% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000009s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000017s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000008s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000010s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000076s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 58.867388s : 76.87% execute : 0.000011s : 0.00% Time group info: ------[substitution.] 4.669800 288 0.00% : 0.000004s : 1: substitution.depend_value_elim 0.00% : 0.000002s : 2: substitution.elim_not_effective 0.00% : 0.000002s : 2: substitution.fold_const_symbol 99.96% : 4.668100s : 64: substitution.getattr_setattr_resolve 0.00% : 0.000007s : 4: substitution.graph_param_transform 0.02% : 0.001125s : 34: substitution.inline 0.00% : 0.000219s : 30: substitution.inline_without_move 0.00% : 0.000011s : 21: substitution.j_node_and_user_rematch 0.00% : 0.000043s : 4: substitution.less_batch_normalization 0.00% : 0.000008s : 4: substitution.minmaximum_grad 0.00% : 0.000004s : 2: substitution.partial_eliminate 0.00% : 0.000016s : 21: substitution.remove_not_recompute_node 0.00% : 0.000088s : 29: substitution.replace_applicator 0.00% : 0.000026s : 37: substitution.replace_old_param 0.00% : 0.000010s : 1: substitution.reset_defer_inline 0.00% : 0.000011s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000008s : 2: substitution.specialize_transform 0.00% : 0.000018s : 6: substitution.switch_simplify 0.00% : 0.000015s : 2: substitution.transpose_eliminate 0.00% : 0.000017s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000012s : 4: substitution.tuple_list_get_item_depend_reorder 0.00% : 0.000057s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 6.566771 2 99.93% : 6.562391s : 1: type_inference.infer 0.07% : 0.004380s : 1: type_inference.specialize ------[replace.] 0.001697 101 0.41% : 0.000007s : 1: replace.depend_value_elim 73.39% : 0.001245s : 55: replace.getattr_setattr_resolve 17.71% : 0.000301s : 32: replace.inline 5.14% : 0.000087s : 6: replace.switch_simplify 0.62% : 0.000010s : 2: replace.transpose_eliminate 2.73% : 0.000046s : 5: replace.tuple_list_get_item_eliminator ------[match.] 4.668890 101 0.00% : 0.000003s : 1: match.depend_value_elim 99.98% : 4.667739s : 55: match.getattr_setattr_resolve 0.02% : 0.001099s : 32: match.inline 0.00% : 0.000014s : 6: match.switch_simplify 0.00% : 0.000013s : 2: match.transpose_eliminate 0.00% : 0.000021s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000976 5242 0.97% : 0.000009s : 66: predicate.accumulaten_eliminater 0.18% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.88% : 0.000009s : 66: predicate.addn_check_dump 1.00% : 0.000010s : 66: predicate.addn_zero_filter 1.33% : 0.000013s : 66: predicate.arithmetic_simplify 1.02% : 0.000010s : 68: predicate.cast_eliminate 0.24% : 0.000002s : 16: predicate.check_bprop_eliminate 0.88% : 0.000009s : 66: predicate.compare_switch_simplify 0.89% : 0.000009s : 66: predicate.depend_value_elim 0.90% : 0.000009s : 68: predicate.dict_get_item_const_eliminator 0.95% : 0.000009s : 68: predicate.dict_get_item_eliminator 0.92% : 0.000009s : 68: predicate.dict_set_item_eliminator 0.15% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.05% : 0.000000s : 4: predicate.elim_not_effective 0.09% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 0.95% : 0.000009s : 68: predicate.environ_add_const_eliminate 0.89% : 0.000009s : 68: predicate.environ_get_add_eliminate 0.98% : 0.000010s : 68: predicate.environ_get_depend_swap 0.97% : 0.000009s : 68: predicate.environ_get_eliminate 0.90% : 0.000009s : 68: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 4: predicate.fold_const_symbol 0.58% : 0.000006s : 33: predicate.get_grad_eliminate 29.70% : 0.000290s : 614: predicate.getattr_setattr_resolve 0.06% : 0.000001s : 4: predicate.graph_param_transform 3.04% : 0.000030s : 128: predicate.inline 5.02% : 0.000049s : 291: predicate.inline_without_move 0.25% : 0.000002s : 33: predicate.j_node_and_user_rematch 0.73% : 0.000007s : 33: predicate.less_batch_normalization 1.04% : 0.000010s : 71: predicate.list_to_tuple_eliminator_ 1.05% : 0.000010s : 75: predicate.load_eliminater 0.19% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.45% : 0.000024s : 165: predicate.loop_unroll_before_grad 1.05% : 0.000010s : 72: predicate.make_slice_get_slice_eliminator 0.89% : 0.000009s : 66: predicate.merge_addn 0.92% : 0.000009s : 66: predicate.minmaximum_grad 0.48% : 0.000005s : 12: predicate.mutable_eliminate 0.08% : 0.000001s : 4: predicate.opt_reshape 1.29% : 0.000013s : 75: predicate.partial_eliminate 0.97% : 0.000010s : 65: predicate.print_const_string_wrapper 1.22% : 0.000012s : 68: predicate.reduce_eliminate 0.99% : 0.000010s : 71: predicate.redundant_stop_gradient_eliminater 0.28% : 0.000003s : 33: predicate.remove_not_recompute_node 2.01% : 0.000020s : 197: predicate.replace_applicator 2.27% : 0.000022s : 291: predicate.replace_old_param 0.26% : 0.000003s : 24: predicate.reset_defer_inline 0.98% : 0.000010s : 68: predicate.reshape_eliminate 0.93% : 0.000009s : 65: predicate.row_tensor_add_zeros_like 0.37% : 0.000004s : 16: predicate.row_tensor_eliminate 0.96% : 0.000009s : 65: predicate.same_eliminate 0.32% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.35% : 0.000003s : 20: predicate.special_op_eliminate 0.57% : 0.000006s : 33: predicate.specialize_transform 1.07% : 0.000010s : 65: predicate.split_environ_get_set_with_tuple_value 0.88% : 0.000009s : 65: predicate.stack_unstack_eliminate 0.09% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.15% : 0.000021s : 102: predicate.switch_defer_inline 1.65% : 0.000016s : 102: predicate.switch_layer_defer_inline 4.63% : 0.000045s : 283: predicate.switch_simplify 1.03% : 0.000010s : 68: predicate.tile_eliminate 1.02% : 0.000010s : 68: predicate.transpose_eliminate 1.16% : 0.000011s : 68: predicate.tuple_list_convert_item_index_to_positive 1.07% : 0.000010s : 68: predicate.tuple_list_get_item_depend_reorder 2.37% : 0.000023s : 103: predicate.tuple_list_get_item_eliminator 1.11% : 0.000011s : 68: predicate.tuple_list_set_item_eliminator 1.00% : 0.000010s : 71: predicate.tuple_to_list_eliminator_ 1.03% : 0.000010s : 75: predicate.updatestate_pure_node_eliminater 1.73% : 0.000017s : 108: predicate.updatestate_useless_node_eliminater 1.18% : 0.000012s : 65: predicate.value_based_eliminate 0.05% : 0.000000s : 4: predicate.virtual_view_grad_eliminate 0.33% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.071553 102 10.87% : 0.007781s : 62: func_graph_cloner_run.FuncGraphClonerGraph 89.13% : 0.063772s : 40: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 88.841834 103 0.00% : 0.000061s : 1: add_recomputation 0.00% : 0.000191s : 1: auto_monad 0.00% : 0.000027s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.00% : 0.000672s : 1: bootstrap 0.00% : 0.000035s : 1: cconv 0.00% : 0.000081s : 1: convert_after_rewriter 0.00% : 0.000028s : 1: cse_after_recomputation 0.00% : 0.000029s : 1: environ_conv 0.00% : 0.000548s : 1: event_method 0.00% : 0.000019s : 1: execute 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000011s : 1: graph_reusing 13.81% : 12.267117s : 1: jit_opt_a 0.00% : 0.000202s : 1: jit_opt_after_cconv 0.00% : 0.000409s : 1: jit_opt_b 0.00% : 0.000509s : 1: loop_unroll 0.00% : 0.000861s : 1: mutable_eliminate 0.01% : 0.005779s : 39: opt.transform.jit_opt_a 0.00% : 0.000067s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000335s : 14: opt.transform.jit_opt_b 0.00% : 0.000015s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000032s : 1: opt.transform.mutable_eliminate 0.00% : 0.000028s : 1: opt.transform.opt_after_jit_grad 5.26% : 4.670748s : 2: opt.transform.opt_resolve 0.00% : 0.000039s : 4: opt.transform.symbol_engine_opt 0.00% : 0.000524s : 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% : 0.000016s : 1: pre_auto_parallel 0.00% : 0.000057s : 1: py_interpret_to_execute 0.00% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 5.48% : 4.869151s : 2: renormalize.infer 0.85% : 0.754333s : 2: renormalize.specialize 0.00% : 0.000006s : 1: rewriter_after_jit_bprop_graph 0.94% : 0.834942s : 1: rewriter_after_opt_a 0.00% : 0.000155s : 1: rewriter_before_opt_a 0.00% : 0.000092s : 1: symbol_engine_optimizer 66.26% : 58.867535s : 1: task_emit 7.39% : 6.566932s : 1: type_inference 0.00% : 0.000166s : 1: validate . [hook] pytest_runtest_teardown:test_squeeze_vmap[8-pynative] tests/st/mint/test_squeeze.py::test_squeeze_vmap[8-pynative],max_mem:4.0M [WARNING] ME(165457:281473543872304,MainProcess):2026-01-29-17:41:47.540.343 [mindspore/graph/api.py:1147] The func .after_vmap at 0xffff984a9ee0> should be wrapped by jit only once. TotalTime = 4.44058, [33] [bootstrap]: 0.00072675 [type_inference]: 1.82538 [event_method]: 0.00069973 [auto_monad]: 0.0001343 [graph_reusing]: 8.64e-06 [pre_auto_parallel]: 3.70003e-06 [py_interpret_to_execute]: 7.312e-05 [rewriter_before_opt_a]: 0.00023232 [expand_dump_flag]: 4.66002e-06 [jit_opt_a]: 2.44811, [3] [Cycle 1]: 2.20015, [27] [switch_simplify]: 0.00013191 [loop_unroll]: 5.18e-05 [a_1]: 0.00115723 [with_stream_mark]: 4.081e-05 [recompute_prepare]: 2.072e-05 [updatestate_depend_eliminate]: 7.5e-06 [updatestate_assign_eliminate]: 5.57999e-06 [updatestate_loads_eliminate]: 4.85001e-06 [parameter_eliminate]: 3.04999e-06 [specialize_transform]: 1.144e-05 [updatestate_useless_node_eliminater]: 1.105e-05 [accelerated_algorithm]: 1.079e-05 [meta_shard_fg_expand]: 3.76001e-06 [get_grad_eliminate_]: 1.048e-05 [merge_forward]: 6.07001e-06 [cell_reuse_recompute_pass]: 1.16002e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.372e-05 [j_node_and_user_rematch]: 1.765e-05 [meta_fg_expand]: 0.653797, [1] [Cycle 1]: 0.645066, [1] [resolve]: 0.64502 [replace_old_param]: 0.00028787 [inline_without_move]: 0.00047977 [renormalize]: 1.54183 [add_forward_monad_depend]: 3.439e-05 [auto_monad_grad]: 0.00125633 [auto_monad_eliminator]: 0.00011071 [cse]: 0.00025196 [replace_applicator]: 0.00021831 [Cycle 2]: 0.00829476, [27] [switch_simplify]: 0.00022467 [loop_unroll]: 8.288e-05 [a_1]: 0.00196218 [with_stream_mark]: 3.125e-05 [recompute_prepare]: 2.369e-05 [updatestate_depend_eliminate]: 9.86e-06 [updatestate_assign_eliminate]: 8.37e-06 [updatestate_loads_eliminate]: 6.70998e-06 [parameter_eliminate]: 3.21001e-06 [specialize_transform]: 2.178e-05 [updatestate_useless_node_eliminater]: 1.532e-05 [accelerated_algorithm]: 6.108e-05 [meta_shard_fg_expand]: 5.74e-06 [get_grad_eliminate_]: 1.389e-05 [merge_forward]: 8.83001e-06 [cell_reuse_recompute_pass]: 1.10999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.845e-05 [j_node_and_user_rematch]: 2.289e-05 [meta_fg_expand]: 0.00020183 [replace_old_param]: 2.48e-05 [inline_without_move]: 2.061e-05 [renormalize]: 0.00518233 [add_forward_monad_depend]: 9.10001e-06 [auto_monad_grad]: 3.20002e-06 [auto_monad_eliminator]: 2.729e-05 [cse]: 5.691e-05 [replace_applicator]: 3.429e-05 [Cycle 3]: 0.00086344, [27] [switch_simplify]: 1.534e-05 [loop_unroll]: 1.476e-05 [a_1]: 0.0004062 [with_stream_mark]: 1.916e-05 [recompute_prepare]: 1.939e-05 [updatestate_depend_eliminate]: 9.04e-06 [updatestate_assign_eliminate]: 6.23e-06 [updatestate_loads_eliminate]: 6.36998e-06 [parameter_eliminate]: 2.04e-06 [specialize_transform]: 1.887e-05 [updatestate_useless_node_eliminater]: 1.45e-05 [accelerated_algorithm]: 1.97e-05 [meta_shard_fg_expand]: 3.13998e-06 [get_grad_eliminate_]: 1.324e-05 [merge_forward]: 7.93001e-06 [cell_reuse_recompute_pass]: 9.30013e-07 [cell_reuse_handle_not_recompute_node_pass]: 2.766e-05 [j_node_and_user_rematch]: 2.299e-05 [meta_fg_expand]: 5.52999e-06 [replace_old_param]: 1.775e-05 [inline_without_move]: 1.689e-05 [renormalize]: 8.9989e-08 [add_forward_monad_depend]: 1.57999e-06 [auto_monad_grad]: 1.46002e-06 [auto_monad_eliminator]: 1.501e-05 [cse]: 3.667e-05 [replace_applicator]: 1.828e-05 [py_interpret_to_execute_after_opt_a]: 2.137e-05 [rewriter_after_opt_a]: 0.00104119 [convert_after_rewriter]: 2.399e-05 [order_py_execute_after_rewriter]: 9.94999e-06 [mutable_eliminate]: 0.00093928 [jit_opt_b]: 0.152633, [2] [Cycle 1]: 0.152542, [2] [frontend_op_eliminate]: 4.609e-05 [inline_after_opt_a]: 0.152448 [Cycle 2]: 6.931e-05, [2] [frontend_op_eliminate]: 2.899e-05 [inline_after_opt_a]: 1.498e-05 [cconv]: 3.801e-05 [loop_unroll]: 0.00085797 [jit_opt_after_cconv]: 0.00020909, [1] [Cycle 1]: 0.00020057, [11] [c_1]: 3.305e-05 [parameter_eliminate]: 7.95e-06 [updatestate_depend_eliminate]: 1.22e-05 [updatestate_assign_eliminate]: 5.27999e-06 [updatestate_loads_eliminate]: 3.14999e-06 [cse]: 4.427e-05 [call_graph_tuple_transform]: 2.264e-05 [tuple_list_get_item_eliminator]: 7.71001e-06 [none_parameter_eliminate]: 1.97999e-06 [renormalize]: 7.29982e-07 [switch_simplify]: 7.35e-06 [remove_dup_value]: 1.829e-05 [partial_unused_args_eliminate]: 2.52001e-06 [environ_conv]: 1.116e-05 [add_recomputation]: 5.828e-05 [cse_after_recomputation]: 2.743e-05, [1] [Cycle 1]: 2.129e-05, [1] [cse]: 1.45e-05 [auto_monad_reorder]: 1.706e-05 [get_jit_bprop_graph]: 3.35003e-06 [rewriter_after_jit_bprop_graph]: 1.1e-05 [opt_after_jit_grad]: 0.00050112 [symbol_engine_optimizer]: 9.157e-05, [1] [Cycle 1]: 8.378e-05, [6] [build]: 5.77001e-06 [elim_shapecalc]: 1.178e-05 [elim_not_effective]: 1.512e-05 [opt_reshape]: 7.65e-06 [fold_const_symbol]: 1.179e-05 [renormalize]: 5.09986e-07 [validate]: 5.922e-05 [backend_pass]: 1.27e-06 [task_emit]: 0.0082657 [execute]: 9.20999e-06 Sums bootstrap : 0.000727s : 0.02% type_inference : 1.825380s : 43.55% event_method : 0.000700s : 0.02% auto_monad : 0.000134s : 0.00% graph_reusing : 0.000009s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000073s : 0.00% rewriter_before_opt_a : 0.000232s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000372s : 0.01% jit_opt_a.loop_unroll : 0.000149s : 0.00% jit_opt_a.a_1 : 0.003526s : 0.08% jit_opt_a.with_stream_mark : 0.000091s : 0.00% jit_opt_a.recompute_prepare : 0.000064s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000026s : 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 : 0.000008s : 0.00% jit_opt_a.specialize_transform : 0.000052s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000041s : 0.00% jit_opt_a.accelerated_algorithm : 0.000092s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000013s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000038s : 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 : 0.000080s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000064s : 0.00% jit_opt_a.meta_fg_expand : 0.000207s : 0.00% jit_opt_a.meta_fg_expand.resolve : 0.645020s : 15.39% jit_opt_a.replace_old_param : 0.000330s : 0.01% jit_opt_a.inline_without_move : 0.000517s : 0.01% jit_opt_a.renormalize : 1.547015s : 36.91% jit_opt_a.add_forward_monad_depend : 0.000045s : 0.00% jit_opt_a.auto_monad_grad : 0.001261s : 0.03% jit_opt_a.auto_monad_eliminator : 0.000153s : 0.00% jit_opt_a.cse : 0.000346s : 0.01% jit_opt_a.replace_applicator : 0.000271s : 0.01% py_interpret_to_execute_after_opt_a : 0.000021s : 0.00% rewriter_after_opt_a : 0.001041s : 0.02% convert_after_rewriter : 0.000024s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000939s : 0.02% jit_opt_b.frontend_op_eliminate : 0.000075s : 0.00% jit_opt_b.inline_after_opt_a : 0.152463s : 3.64% cconv : 0.000038s : 0.00% loop_unroll : 0.000858s : 0.02% jit_opt_after_cconv.c_1 : 0.000033s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 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 : 0.000044s : 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 : 0.000002s : 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 : 0.000011s : 0.00% add_recomputation : 0.000058s : 0.00% cse_after_recomputation.cse : 0.000014s : 0.00% auto_monad_reorder : 0.000017s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000011s : 0.00% opt_after_jit_grad : 0.000501s : 0.01% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000012s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000015s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000008s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000012s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000059s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.008266s : 0.20% execute : 0.000009s : 0.00% Time group info: ------[substitution.] 0.570829 288 0.00% : 0.000004s : 1: substitution.depend_value_elim 0.00% : 0.000003s : 2: substitution.elim_not_effective 0.00% : 0.000002s : 2: substitution.fold_const_symbol 73.11% : 0.417333s : 64: substitution.getattr_setattr_resolve 0.00% : 0.000006s : 4: substitution.graph_param_transform 0.16% : 0.000900s : 34: substitution.inline 0.04% : 0.000206s : 30: substitution.inline_without_move 0.00% : 0.000011s : 21: substitution.j_node_and_user_rematch 0.01% : 0.000044s : 4: substitution.less_batch_normalization 0.00% : 0.000008s : 4: substitution.minmaximum_grad 0.00% : 0.000003s : 2: substitution.partial_eliminate 0.00% : 0.000016s : 21: substitution.remove_not_recompute_node 0.02% : 0.000091s : 29: substitution.replace_applicator 0.00% : 0.000024s : 37: substitution.replace_old_param 26.64% : 0.152041s : 1: substitution.reset_defer_inline 0.00% : 0.000010s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.00% : 0.000018s : 6: substitution.switch_simplify 0.00% : 0.000019s : 2: substitution.transpose_eliminate 0.00% : 0.000016s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000011s : 4: substitution.tuple_list_get_item_depend_reorder 0.01% : 0.000056s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.825266 2 99.80% : 1.821595s : 1: type_inference.infer 0.20% : 0.003671s : 1: type_inference.specialize ------[replace.] 0.226632 101 0.00% : 0.000006s : 1: replace.depend_value_elim 99.83% : 0.226237s : 55: replace.getattr_setattr_resolve 0.11% : 0.000247s : 32: replace.inline 0.04% : 0.000085s : 6: replace.switch_simplify 0.00% : 0.000011s : 2: replace.transpose_eliminate 0.02% : 0.000047s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.417947 101 0.00% : 0.000003s : 1: match.depend_value_elim 99.78% : 0.417011s : 55: match.getattr_setattr_resolve 0.21% : 0.000873s : 32: match.inline 0.00% : 0.000014s : 6: match.switch_simplify 0.00% : 0.000017s : 2: match.transpose_eliminate 0.01% : 0.000028s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000930 5242 1.00% : 0.000009s : 66: predicate.accumulaten_eliminater 0.17% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.91% : 0.000008s : 66: predicate.addn_check_dump 1.09% : 0.000010s : 66: predicate.addn_zero_filter 1.50% : 0.000014s : 66: predicate.arithmetic_simplify 1.07% : 0.000010s : 68: predicate.cast_eliminate 0.31% : 0.000003s : 16: predicate.check_bprop_eliminate 0.94% : 0.000009s : 66: predicate.compare_switch_simplify 0.94% : 0.000009s : 66: predicate.depend_value_elim 0.97% : 0.000009s : 68: predicate.dict_get_item_const_eliminator 1.03% : 0.000010s : 68: predicate.dict_get_item_eliminator 1.10% : 0.000010s : 68: predicate.dict_set_item_eliminator 0.12% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.06% : 0.000001s : 4: predicate.elim_not_effective 0.14% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.05% : 0.000010s : 68: predicate.environ_add_const_eliminate 0.96% : 0.000009s : 68: predicate.environ_get_add_eliminate 0.95% : 0.000009s : 68: predicate.environ_get_depend_swap 1.04% : 0.000010s : 68: predicate.environ_get_eliminate 1.01% : 0.000009s : 68: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 4: predicate.fold_const_symbol 0.58% : 0.000005s : 33: predicate.get_grad_eliminate 23.70% : 0.000220s : 614: predicate.getattr_setattr_resolve 0.06% : 0.000001s : 4: predicate.graph_param_transform 3.71% : 0.000035s : 128: predicate.inline 5.32% : 0.000049s : 291: predicate.inline_without_move 0.26% : 0.000002s : 33: predicate.j_node_and_user_rematch 0.72% : 0.000007s : 33: predicate.less_batch_normalization 1.08% : 0.000010s : 71: predicate.list_to_tuple_eliminator_ 1.12% : 0.000010s : 75: predicate.load_eliminater 0.23% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.56% : 0.000024s : 165: predicate.loop_unroll_before_grad 1.21% : 0.000011s : 72: predicate.make_slice_get_slice_eliminator 0.98% : 0.000009s : 66: predicate.merge_addn 0.94% : 0.000009s : 66: predicate.minmaximum_grad 0.54% : 0.000005s : 12: predicate.mutable_eliminate 0.09% : 0.000001s : 4: predicate.opt_reshape 1.35% : 0.000013s : 75: predicate.partial_eliminate 0.97% : 0.000009s : 65: predicate.print_const_string_wrapper 1.36% : 0.000013s : 68: predicate.reduce_eliminate 1.07% : 0.000010s : 71: predicate.redundant_stop_gradient_eliminater 0.29% : 0.000003s : 33: predicate.remove_not_recompute_node 2.09% : 0.000019s : 197: predicate.replace_applicator 2.33% : 0.000022s : 291: predicate.replace_old_param 0.44% : 0.000004s : 24: predicate.reset_defer_inline 1.11% : 0.000010s : 68: predicate.reshape_eliminate 1.03% : 0.000010s : 65: predicate.row_tensor_add_zeros_like 0.43% : 0.000004s : 16: predicate.row_tensor_eliminate 1.01% : 0.000009s : 65: predicate.same_eliminate 0.35% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.38% : 0.000004s : 20: predicate.special_op_eliminate 0.56% : 0.000005s : 33: predicate.specialize_transform 1.20% : 0.000011s : 65: predicate.split_environ_get_set_with_tuple_value 0.95% : 0.000009s : 65: predicate.stack_unstack_eliminate 0.09% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.21% : 0.000021s : 102: predicate.switch_defer_inline 1.78% : 0.000017s : 102: predicate.switch_layer_defer_inline 4.97% : 0.000046s : 283: predicate.switch_simplify 1.06% : 0.000010s : 68: predicate.tile_eliminate 1.08% : 0.000010s : 68: predicate.transpose_eliminate 1.25% : 0.000012s : 68: predicate.tuple_list_convert_item_index_to_positive 1.16% : 0.000011s : 68: predicate.tuple_list_get_item_depend_reorder 2.67% : 0.000025s : 103: predicate.tuple_list_get_item_eliminator 1.34% : 0.000012s : 68: predicate.tuple_list_set_item_eliminator 1.09% : 0.000010s : 71: predicate.tuple_to_list_eliminator_ 1.13% : 0.000011s : 75: predicate.updatestate_pure_node_eliminater 1.92% : 0.000018s : 108: predicate.updatestate_useless_node_eliminater 1.28% : 0.000012s : 65: predicate.value_based_eliminate 0.05% : 0.000000s : 4: predicate.virtual_view_grad_eliminate 0.45% : 0.000004s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.579503 102 43.63% : 0.252843s : 62: func_graph_cloner_run.FuncGraphClonerGraph 56.37% : 0.326659s : 40: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 6.790473 103 0.00% : 0.000061s : 1: add_recomputation 0.00% : 0.000141s : 1: auto_monad 0.00% : 0.000020s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.01% : 0.000756s : 1: bootstrap 0.00% : 0.000041s : 1: cconv 0.00% : 0.000028s : 1: convert_after_rewriter 0.00% : 0.000030s : 1: cse_after_recomputation 0.00% : 0.000014s : 1: environ_conv 0.01% : 0.000711s : 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% : 0.000011s : 1: graph_reusing 36.05% : 2.448115s : 1: jit_opt_a 0.00% : 0.000214s : 1: jit_opt_after_cconv 2.25% : 0.152639s : 1: jit_opt_b 0.01% : 0.000867s : 1: loop_unroll 0.01% : 0.000948s : 1: mutable_eliminate 0.08% : 0.005503s : 39: opt.transform.jit_opt_a 0.00% : 0.000066s : 4: opt.transform.jit_opt_after_cconv 2.25% : 0.152489s : 14: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000028s : 1: opt.transform.mutable_eliminate 0.00% : 0.000029s : 1: opt.transform.opt_after_jit_grad 9.50% : 0.644802s : 2: opt.transform.opt_resolve 0.00% : 0.000043s : 4: opt.transform.symbol_engine_opt 0.01% : 0.000509s : 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% : 0.000077s : 1: py_interpret_to_execute 0.00% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000021s : 1: remove_dup_value 17.52% : 1.189539s : 2: renormalize.infer 5.26% : 0.357447s : 2: renormalize.specialize 0.00% : 0.000013s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.001049s : 1: rewriter_after_opt_a 0.00% : 0.000237s : 1: rewriter_before_opt_a 0.00% : 0.000095s : 1: symbol_engine_optimizer 0.12% : 0.008283s : 1: task_emit 26.88% : 1.825406s : 1: type_inference 0.00% : 0.000147s : 1: validate . [hook] pytest_runtest_teardown:test_squeeze_vmap[8-KBK] tests/st/mint/test_squeeze.py::test_squeeze_vmap[8-KBK],max_mem:4.0M TotalTime = 3.79006, [33] [bootstrap]: 0.00810576 [type_inference]: 1.51542 [event_method]: 0.0007948 [auto_monad]: 0.0500839 [graph_reusing]: 1.848e-05 [pre_auto_parallel]: 5.56002e-06 [py_interpret_to_execute]: 0.00031989 [rewriter_before_opt_a]: 0.0001507 [expand_dump_flag]: 4.50001e-06 [jit_opt_a]: 2.20345, [3] [Cycle 1]: 1.9634, [27] [switch_simplify]: 9.145e-05 [loop_unroll]: 5.154e-05 [a_1]: 0.00111128 [with_stream_mark]: 6.341e-05 [recompute_prepare]: 7.214e-05 [updatestate_depend_eliminate]: 8.99e-06 [updatestate_assign_eliminate]: 5.59e-06 [updatestate_loads_eliminate]: 5.15001e-06 [parameter_eliminate]: 5.47999e-06 [specialize_transform]: 1.338e-05 [updatestate_useless_node_eliminater]: 1.281e-05 [accelerated_algorithm]: 1.368e-05 [meta_shard_fg_expand]: 6.43e-06 [get_grad_eliminate_]: 1.334e-05 [merge_forward]: 6.89999e-06 [cell_reuse_recompute_pass]: 1.23002e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.527e-05 [j_node_and_user_rematch]: 1.931e-05 [meta_fg_expand]: 0.624688, [1] [Cycle 1]: 0.594402, [1] [resolve]: 0.594358 [replace_old_param]: 0.0003056 [inline_without_move]: 0.00049606 [renormalize]: 1.31339 [add_forward_monad_depend]: 2.56e-05 [auto_monad_grad]: 0.00142296 [auto_monad_eliminator]: 0.00010501 [cse]: 0.00025689 [replace_applicator]: 0.00020751 [Cycle 2]: 0.217605, [27] [switch_simplify]: 0.00022112 [loop_unroll]: 8.869e-05 [a_1]: 0.00205092 [with_stream_mark]: 2.817e-05 [recompute_prepare]: 2.518e-05 [updatestate_depend_eliminate]: 1.053e-05 [updatestate_assign_eliminate]: 7.39002e-06 [updatestate_loads_eliminate]: 6.47001e-06 [parameter_eliminate]: 3.78999e-06 [specialize_transform]: 2.048e-05 [updatestate_useless_node_eliminater]: 1.457e-05 [accelerated_algorithm]: 5.122e-05 [meta_shard_fg_expand]: 7.09001e-06 [get_grad_eliminate_]: 1.447e-05 [merge_forward]: 7.97998e-06 [cell_reuse_recompute_pass]: 1.09e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.972e-05 [j_node_and_user_rematch]: 2.319e-05 [meta_fg_expand]: 0.0002157 [replace_old_param]: 2.453e-05 [inline_without_move]: 1.936e-05 [renormalize]: 0.214354 [add_forward_monad_depend]: 1.22e-05 [auto_monad_grad]: 4.28999e-06 [auto_monad_eliminator]: 2.983e-05 [cse]: 6.766e-05 [replace_applicator]: 4.695e-05 [Cycle 3]: 0.0009171, [27] [switch_simplify]: 1.597e-05 [loop_unroll]: 1.513e-05 [a_1]: 0.0004282 [with_stream_mark]: 2.458e-05 [recompute_prepare]: 2.205e-05 [updatestate_depend_eliminate]: 9.56998e-06 [updatestate_assign_eliminate]: 7.20003e-06 [updatestate_loads_eliminate]: 6.85002e-06 [parameter_eliminate]: 2.89001e-06 [specialize_transform]: 2.078e-05 [updatestate_useless_node_eliminater]: 1.462e-05 [accelerated_algorithm]: 2.026e-05 [meta_shard_fg_expand]: 4.82e-06 [get_grad_eliminate_]: 1.398e-05 [merge_forward]: 8.55001e-06 [cell_reuse_recompute_pass]: 1.19e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.997e-05 [j_node_and_user_rematch]: 2.243e-05 [meta_fg_expand]: 6.19001e-06 [replace_old_param]: 1.828e-05 [inline_without_move]: 1.728e-05 [renormalize]: 2.79979e-07 [add_forward_monad_depend]: 1.94e-06 [auto_monad_grad]: 2.43e-06 [auto_monad_eliminator]: 1.605e-05 [cse]: 4.033e-05 [replace_applicator]: 1.853e-05 [py_interpret_to_execute_after_opt_a]: 2.368e-05 [rewriter_after_opt_a]: 0.00105133 [convert_after_rewriter]: 2.403e-05 [order_py_execute_after_rewriter]: 1.005e-05 [mutable_eliminate]: 0.0008883 [jit_opt_b]: 0.00037107, [2] [Cycle 1]: 0.00031625, [2] [frontend_op_eliminate]: 4.978e-05 [inline_after_opt_a]: 0.00024832 [Cycle 2]: 4.21e-05, [2] [frontend_op_eliminate]: 1.691e-05 [inline_after_opt_a]: 1.394e-05 [cconv]: 2.783e-05 [loop_unroll]: 0.00049699 [jit_opt_after_cconv]: 0.0001702, [1] [Cycle 1]: 0.00016332, [11] [c_1]: 2.936e-05 [parameter_eliminate]: 4.02e-06 [updatestate_depend_eliminate]: 7.21001e-06 [updatestate_assign_eliminate]: 3.76001e-06 [updatestate_loads_eliminate]: 2.61e-06 [cse]: 2.47e-05 [call_graph_tuple_transform]: 2.193e-05 [tuple_list_get_item_eliminator]: 7.47998e-06 [none_parameter_eliminate]: 1.72999e-06 [renormalize]: 4.69998e-07 [switch_simplify]: 7.05e-06 [remove_dup_value]: 1.573e-05 [partial_unused_args_eliminate]: 2.59001e-06 [environ_conv]: 8.99e-06 [add_recomputation]: 5.24e-05 [cse_after_recomputation]: 2.349e-05, [1] [Cycle 1]: 1.825e-05, [1] [cse]: 1.238e-05 [auto_monad_reorder]: 1.623e-05 [get_jit_bprop_graph]: 2.68998e-06 [rewriter_after_jit_bprop_graph]: 4.77e-06 [opt_after_jit_grad]: 0.0007352 [symbol_engine_optimizer]: 8.617e-05, [1] [Cycle 1]: 7.87e-05, [6] [build]: 4.40999e-06 [elim_shapecalc]: 9.97001e-06 [elim_not_effective]: 1.597e-05 [opt_reshape]: 6.72002e-06 [fold_const_symbol]: 1.098e-05 [renormalize]: 7.29982e-07 [validate]: 4.948e-05 [backend_pass]: 1.29e-06 [task_emit]: 0.00723194 [execute]: 8.41002e-06 Sums bootstrap : 0.008106s : 0.22% type_inference : 1.515417s : 40.78% event_method : 0.000795s : 0.02% auto_monad : 0.050084s : 1.35% graph_reusing : 0.000018s : 0.00% pre_auto_parallel : 0.000006s : 0.00% py_interpret_to_execute : 0.000320s : 0.01% rewriter_before_opt_a : 0.000151s : 0.00% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000329s : 0.01% jit_opt_a.loop_unroll : 0.000155s : 0.00% jit_opt_a.a_1 : 0.003590s : 0.10% jit_opt_a.with_stream_mark : 0.000116s : 0.00% jit_opt_a.recompute_prepare : 0.000119s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000029s : 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 : 0.000012s : 0.00% jit_opt_a.specialize_transform : 0.000055s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000042s : 0.00% jit_opt_a.accelerated_algorithm : 0.000085s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000018s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000042s : 0.00% jit_opt_a.merge_forward : 0.000023s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000085s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000065s : 0.00% jit_opt_a.meta_fg_expand : 0.000222s : 0.01% jit_opt_a.meta_fg_expand.resolve : 0.594358s : 15.99% jit_opt_a.replace_old_param : 0.000348s : 0.01% jit_opt_a.inline_without_move : 0.000533s : 0.01% jit_opt_a.renormalize : 1.527746s : 41.11% jit_opt_a.add_forward_monad_depend : 0.000040s : 0.00% jit_opt_a.auto_monad_grad : 0.001430s : 0.04% jit_opt_a.auto_monad_eliminator : 0.000151s : 0.00% jit_opt_a.cse : 0.000365s : 0.01% jit_opt_a.replace_applicator : 0.000273s : 0.01% py_interpret_to_execute_after_opt_a : 0.000024s : 0.00% rewriter_after_opt_a : 0.001051s : 0.03% convert_after_rewriter : 0.000024s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000888s : 0.02% jit_opt_b.frontend_op_eliminate : 0.000067s : 0.00% jit_opt_b.inline_after_opt_a : 0.000262s : 0.01% cconv : 0.000028s : 0.00% loop_unroll : 0.000497s : 0.01% jit_opt_after_cconv.c_1 : 0.000029s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000025s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000022s : 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 : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000016s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000009s : 0.00% add_recomputation : 0.000052s : 0.00% cse_after_recomputation.cse : 0.000012s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000735s : 0.02% symbol_engine_optimizer.build : 0.000004s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000010s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000016s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000007s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000049s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.007232s : 0.19% execute : 0.000008s : 0.00% Time group info: ------[substitution.] 0.592881 288 0.00% : 0.000004s : 1: substitution.depend_value_elim 0.00% : 0.000003s : 2: substitution.elim_not_effective 0.00% : 0.000001s : 2: substitution.fold_const_symbol 99.76% : 0.591485s : 64: substitution.getattr_setattr_resolve 0.00% : 0.000006s : 4: substitution.graph_param_transform 0.14% : 0.000829s : 34: substitution.inline 0.04% : 0.000220s : 30: substitution.inline_without_move 0.00% : 0.000012s : 21: substitution.j_node_and_user_rematch 0.01% : 0.000034s : 4: substitution.less_batch_normalization 0.00% : 0.000010s : 4: substitution.minmaximum_grad 0.00% : 0.000003s : 2: substitution.partial_eliminate 0.00% : 0.000017s : 21: substitution.remove_not_recompute_node 0.01% : 0.000085s : 29: substitution.replace_applicator 0.00% : 0.000025s : 37: substitution.replace_old_param 0.00% : 0.000006s : 1: substitution.reset_defer_inline 0.00% : 0.000019s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000008s : 2: substitution.specialize_transform 0.00% : 0.000017s : 6: substitution.switch_simplify 0.00% : 0.000014s : 2: substitution.transpose_eliminate 0.00% : 0.000019s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000013s : 4: substitution.tuple_list_get_item_depend_reorder 0.01% : 0.000052s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.515251 2 99.73% : 1.511187s : 1: type_inference.infer 0.27% : 0.004064s : 1: type_inference.specialize ------[replace.] 0.001795 101 0.36% : 0.000006s : 1: replace.depend_value_elim 78.11% : 0.001402s : 55: replace.getattr_setattr_resolve 13.86% : 0.000249s : 32: replace.inline 4.79% : 0.000086s : 6: replace.switch_simplify 0.59% : 0.000011s : 2: replace.transpose_eliminate 2.30% : 0.000041s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.592008 101 0.00% : 0.000003s : 1: match.depend_value_elim 99.86% : 0.591159s : 55: match.getattr_setattr_resolve 0.14% : 0.000801s : 32: match.inline 0.00% : 0.000013s : 6: match.switch_simplify 0.00% : 0.000012s : 2: match.transpose_eliminate 0.00% : 0.000020s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000993 5242 0.95% : 0.000009s : 66: predicate.accumulaten_eliminater 0.18% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.89% : 0.000009s : 66: predicate.addn_check_dump 1.00% : 0.000010s : 66: predicate.addn_zero_filter 1.48% : 0.000015s : 66: predicate.arithmetic_simplify 1.01% : 0.000010s : 68: predicate.cast_eliminate 0.23% : 0.000002s : 16: predicate.check_bprop_eliminate 0.87% : 0.000009s : 66: predicate.compare_switch_simplify 0.95% : 0.000009s : 66: predicate.depend_value_elim 0.91% : 0.000009s : 68: predicate.dict_get_item_const_eliminator 1.04% : 0.000010s : 68: predicate.dict_get_item_eliminator 1.02% : 0.000010s : 68: predicate.dict_set_item_eliminator 0.15% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.06% : 0.000001s : 4: predicate.elim_not_effective 0.09% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 0.96% : 0.000010s : 68: predicate.environ_add_const_eliminate 0.94% : 0.000009s : 68: predicate.environ_get_add_eliminate 0.96% : 0.000009s : 68: predicate.environ_get_depend_swap 0.97% : 0.000010s : 68: predicate.environ_get_eliminate 0.92% : 0.000009s : 68: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 4: predicate.fold_const_symbol 0.55% : 0.000005s : 33: predicate.get_grad_eliminate 23.25% : 0.000231s : 614: predicate.getattr_setattr_resolve 0.04% : 0.000000s : 4: predicate.graph_param_transform 3.07% : 0.000030s : 128: predicate.inline 5.01% : 0.000050s : 291: predicate.inline_without_move 0.27% : 0.000003s : 33: predicate.j_node_and_user_rematch 0.80% : 0.000008s : 33: predicate.less_batch_normalization 1.07% : 0.000011s : 71: predicate.list_to_tuple_eliminator_ 1.11% : 0.000011s : 75: predicate.load_eliminater 0.20% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.52% : 0.000025s : 165: predicate.loop_unroll_before_grad 1.07% : 0.000011s : 72: predicate.make_slice_get_slice_eliminator 0.93% : 0.000009s : 66: predicate.merge_addn 0.94% : 0.000009s : 66: predicate.minmaximum_grad 0.46% : 0.000005s : 12: predicate.mutable_eliminate 0.08% : 0.000001s : 4: predicate.opt_reshape 1.33% : 0.000013s : 75: predicate.partial_eliminate 0.88% : 0.000009s : 65: predicate.print_const_string_wrapper 1.38% : 0.000014s : 68: predicate.reduce_eliminate 1.03% : 0.000010s : 71: predicate.redundant_stop_gradient_eliminater 0.32% : 0.000003s : 33: predicate.remove_not_recompute_node 1.97% : 0.000020s : 197: predicate.replace_applicator 2.21% : 0.000022s : 291: predicate.replace_old_param 0.24% : 0.000002s : 24: predicate.reset_defer_inline 0.97% : 0.000010s : 68: predicate.reshape_eliminate 1.01% : 0.000010s : 65: predicate.row_tensor_add_zeros_like 0.31% : 0.000003s : 16: predicate.row_tensor_eliminate 0.98% : 0.000010s : 65: predicate.same_eliminate 0.50% : 0.000005s : 33: predicate.set_cell_output_no_recompute 0.33% : 0.000003s : 20: predicate.special_op_eliminate 0.58% : 0.000006s : 33: predicate.specialize_transform 1.13% : 0.000011s : 65: predicate.split_environ_get_set_with_tuple_value 0.92% : 0.000009s : 65: predicate.stack_unstack_eliminate 0.09% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.09% : 0.000021s : 102: predicate.switch_defer_inline 6.87% : 0.000068s : 102: predicate.switch_layer_defer_inline 4.56% : 0.000045s : 283: predicate.switch_simplify 1.00% : 0.000010s : 68: predicate.tile_eliminate 1.04% : 0.000010s : 68: predicate.transpose_eliminate 1.23% : 0.000012s : 68: predicate.tuple_list_convert_item_index_to_positive 1.08% : 0.000011s : 68: predicate.tuple_list_get_item_depend_reorder 2.17% : 0.000022s : 103: predicate.tuple_list_get_item_eliminator 1.23% : 0.000012s : 68: predicate.tuple_list_set_item_eliminator 1.09% : 0.000011s : 71: predicate.tuple_to_list_eliminator_ 1.05% : 0.000010s : 75: predicate.updatestate_pure_node_eliminater 1.79% : 0.000018s : 108: predicate.updatestate_useless_node_eliminater 1.23% : 0.000012s : 65: predicate.value_based_eliminate 0.05% : 0.000000s : 4: predicate.virtual_view_grad_eliminate 0.40% : 0.000004s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.011145 102 73.49% : 0.008190s : 62: func_graph_cloner_run.FuncGraphClonerGraph 26.51% : 0.002955s : 40: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 5.917986 103 0.00% : 0.000055s : 1: add_recomputation 0.85% : 0.050112s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.14% : 0.008156s : 1: bootstrap 0.00% : 0.000031s : 1: cconv 0.00% : 0.000029s : 1: convert_after_rewriter 0.00% : 0.000026s : 1: cse_after_recomputation 0.00% : 0.000012s : 1: environ_conv 0.01% : 0.000808s : 1: event_method 0.00% : 0.000013s : 1: execute 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000025s : 1: graph_reusing 37.23% : 2.203458s : 1: jit_opt_a 0.00% : 0.000174s : 1: jit_opt_after_cconv 0.01% : 0.000374s : 1: jit_opt_b 0.01% : 0.000505s : 1: loop_unroll 0.02% : 0.000898s : 1: mutable_eliminate 0.10% : 0.005648s : 39: opt.transform.jit_opt_a 0.00% : 0.000062s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000303s : 14: opt.transform.jit_opt_b 0.00% : 0.000015s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000028s : 1: opt.transform.mutable_eliminate 0.00% : 0.000029s : 1: opt.transform.opt_after_jit_grad 10.04% : 0.594153s : 2: opt.transform.opt_resolve 0.00% : 0.000040s : 4: opt.transform.symbol_engine_opt 0.01% : 0.000745s : 1: opt_after_jit_grad 0.00% : 0.000012s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000008s : 1: pre_auto_parallel 0.01% : 0.000326s : 1: py_interpret_to_execute 0.00% : 0.000026s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000018s : 1: remove_dup_value 25.66% : 1.518387s : 2: renormalize.infer 0.16% : 0.009329s : 2: renormalize.specialize 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.001060s : 1: rewriter_after_opt_a 0.00% : 0.000155s : 1: rewriter_before_opt_a 0.00% : 0.000089s : 1: symbol_engine_optimizer 0.12% : 0.007247s : 1: task_emit 25.61% : 1.515445s : 1: type_inference 0.00% : 0.000136s : 1: validate . [hook] pytest_runtest_teardown:test_squeeze_vmap[16-pynative] tests/st/mint/test_squeeze.py::test_squeeze_vmap[16-pynative],max_mem:4.0M [WARNING] ME(165457:281473543872304,MainProcess):2026-01-29-17:41:58.473.818 [mindspore/graph/api.py:1147] The func .after_vmap at 0xfffee007e700> should be wrapped by jit only once. [WARNING] ME(165457:281473543872304,MainProcess):2026-01-29-17:41:58.475.549 [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 = 14.6093, [33] [bootstrap]: 0.00086989 [type_inference]: 3.18246 [event_method]: 0.00074144 [auto_monad]: 0.00012905 [graph_reusing]: 9.31e-06 [pre_auto_parallel]: 3.52997e-06 [py_interpret_to_execute]: 4.003e-05 [rewriter_before_opt_a]: 0.00015154 [expand_dump_flag]: 4.62e-06 [jit_opt_a]: 10.371, [3] [Cycle 1]: 8.48559, [27] [switch_simplify]: 9.176e-05 [loop_unroll]: 5.194e-05 [a_1]: 0.00116615 [with_stream_mark]: 3.95e-05 [recompute_prepare]: 1.93e-05 [updatestate_depend_eliminate]: 7.55e-06 [updatestate_assign_eliminate]: 5.06997e-06 [updatestate_loads_eliminate]: 5.28002e-06 [parameter_eliminate]: 2.98e-06 [specialize_transform]: 1.189e-05 [updatestate_useless_node_eliminater]: 1.044e-05 [accelerated_algorithm]: 1.106e-05 [meta_shard_fg_expand]: 4.00998e-06 [get_grad_eliminate_]: 1.037e-05 [merge_forward]: 5.84e-06 [cell_reuse_recompute_pass]: 1.05999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.244e-05 [j_node_and_user_rematch]: 1.716e-05 [meta_fg_expand]: 2.64173, [1] [Cycle 1]: 2.63287, [1] [resolve]: 2.63283 [replace_old_param]: 0.00030433 [inline_without_move]: 0.00049353 [renormalize]: 5.83891 [add_forward_monad_depend]: 6.064e-05 [auto_monad_grad]: 0.00164471 [auto_monad_eliminator]: 0.0001159 [cse]: 0.0002612 [replace_applicator]: 0.00023286 [Cycle 2]: 1.05229, [27] [switch_simplify]: 0.00024274 [loop_unroll]: 8.386e-05 [a_1]: 1.03989 [with_stream_mark]: 4.344e-05 [recompute_prepare]: 2.651e-05 [updatestate_depend_eliminate]: 9.77001e-06 [updatestate_assign_eliminate]: 8.28999e-06 [updatestate_loads_eliminate]: 6.81001e-06 [parameter_eliminate]: 4.28001e-06 [specialize_transform]: 2.043e-05 [updatestate_useless_node_eliminater]: 1.44e-05 [accelerated_algorithm]: 6.338e-05 [meta_shard_fg_expand]: 7.76001e-06 [get_grad_eliminate_]: 1.645e-05 [merge_forward]: 8.52998e-06 [cell_reuse_recompute_pass]: 1.44998e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.821e-05 [j_node_and_user_rematch]: 2.285e-05 [meta_fg_expand]: 0.00026189 [replace_old_param]: 2.528e-05 [inline_without_move]: 1.915e-05 [renormalize]: 0.0110527 [add_forward_monad_depend]: 1.166e-05 [auto_monad_grad]: 5.32999e-06 [auto_monad_eliminator]: 3.417e-05 [cse]: 7.428e-05 [replace_applicator]: 4.776e-05 [Cycle 3]: 0.00099063, [27] [switch_simplify]: 1.706e-05 [loop_unroll]: 1.599e-05 [a_1]: 0.00043241 [with_stream_mark]: 2.175e-05 [recompute_prepare]: 2.112e-05 [updatestate_depend_eliminate]: 9.05001e-06 [updatestate_assign_eliminate]: 9.30001e-06 [updatestate_loads_eliminate]: 6.74999e-06 [parameter_eliminate]: 3.23998e-06 [specialize_transform]: 2.322e-05 [updatestate_useless_node_eliminater]: 1.431e-05 [accelerated_algorithm]: 2.45e-05 [meta_shard_fg_expand]: 4e-06 [get_grad_eliminate_]: 1.6e-05 [merge_forward]: 8.45999e-06 [cell_reuse_recompute_pass]: 1.22e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.923e-05 [j_node_and_user_rematch]: 2.385e-05 [meta_fg_expand]: 5.84e-06 [replace_old_param]: 1.908e-05 [inline_without_move]: 1.856e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 1.89e-06 [auto_monad_grad]: 1.86e-06 [auto_monad_eliminator]: 1.631e-05 [cse]: 3.896e-05 [replace_applicator]: 1.706e-05 [py_interpret_to_execute_after_opt_a]: 2.537e-05 [rewriter_after_opt_a]: 0.001285 [convert_after_rewriter]: 2.277e-05 [order_py_execute_after_rewriter]: 1.012e-05 [mutable_eliminate]: 0.0008879 [jit_opt_b]: 0.00036674, [2] [Cycle 1]: 0.00031065, [2] [frontend_op_eliminate]: 4.767e-05 [inline_after_opt_a]: 0.00024542 [Cycle 2]: 4.087e-05, [2] [frontend_op_eliminate]: 1.607e-05 [inline_after_opt_a]: 1.385e-05 [cconv]: 2.884e-05 [loop_unroll]: 0.00052237 [jit_opt_after_cconv]: 0.00018234, [1] [Cycle 1]: 0.00017478, [11] [c_1]: 2.98e-05 [parameter_eliminate]: 5.07999e-06 [updatestate_depend_eliminate]: 7.22002e-06 [updatestate_assign_eliminate]: 3.85998e-06 [updatestate_loads_eliminate]: 2.29001e-06 [cse]: 2.637e-05 [call_graph_tuple_transform]: 2.37e-05 [tuple_list_get_item_eliminator]: 8.90001e-06 [none_parameter_eliminate]: 1.97999e-06 [renormalize]: 3.50003e-07 [switch_simplify]: 6.96001e-06 [remove_dup_value]: 1.772e-05 [partial_unused_args_eliminate]: 2.81e-06 [environ_conv]: 9.95002e-06 [add_recomputation]: 0.00010728 [cse_after_recomputation]: 2.742e-05, [1] [Cycle 1]: 2.082e-05, [1] [cse]: 1.425e-05 [auto_monad_reorder]: 1.663e-05 [get_jit_bprop_graph]: 2.45002e-06 [rewriter_after_jit_bprop_graph]: 5.15999e-06 [opt_after_jit_grad]: 0.00048702 [symbol_engine_optimizer]: 8.998e-05, [1] [Cycle 1]: 8.325e-05, [6] [build]: 5.07e-06 [elim_shapecalc]: 9.37999e-06 [elim_not_effective]: 1.794e-05 [opt_reshape]: 8.21002e-06 [fold_const_symbol]: 1.265e-05 [renormalize]: 4.39992e-07 [validate]: 8.192e-05 [backend_pass]: 1.52999e-06 [task_emit]: 1.04929 [execute]: 9.69999e-06 Sums bootstrap : 0.000870s : 0.01% type_inference : 3.182464s : 23.12% event_method : 0.000741s : 0.01% auto_monad : 0.000129s : 0.00% graph_reusing : 0.000009s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000040s : 0.00% rewriter_before_opt_a : 0.000152s : 0.00% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000352s : 0.00% jit_opt_a.loop_unroll : 0.000152s : 0.00% jit_opt_a.a_1 : 1.041484s : 7.57% jit_opt_a.with_stream_mark : 0.000105s : 0.00% jit_opt_a.recompute_prepare : 0.000067s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000026s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000023s : 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 : 0.000056s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000039s : 0.00% jit_opt_a.accelerated_algorithm : 0.000099s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000016s : 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 : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000080s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000064s : 0.00% jit_opt_a.meta_fg_expand : 0.000268s : 0.00% jit_opt_a.meta_fg_expand.resolve : 2.632831s : 19.12% jit_opt_a.replace_old_param : 0.000349s : 0.00% jit_opt_a.inline_without_move : 0.000531s : 0.00% jit_opt_a.renormalize : 5.849967s : 42.49% jit_opt_a.add_forward_monad_depend : 0.000074s : 0.00% jit_opt_a.auto_monad_grad : 0.001652s : 0.01% jit_opt_a.auto_monad_eliminator : 0.000166s : 0.00% jit_opt_a.cse : 0.000374s : 0.00% jit_opt_a.replace_applicator : 0.000298s : 0.00% py_interpret_to_execute_after_opt_a : 0.000025s : 0.00% rewriter_after_opt_a : 0.001285s : 0.01% convert_after_rewriter : 0.000023s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000888s : 0.01% jit_opt_b.frontend_op_eliminate : 0.000064s : 0.00% jit_opt_b.inline_after_opt_a : 0.000259s : 0.00% cconv : 0.000029s : 0.00% loop_unroll : 0.000522s : 0.00% jit_opt_after_cconv.c_1 : 0.000030s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.cse : 0.000026s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000024s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000009s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000010s : 0.00% add_recomputation : 0.000107s : 0.00% cse_after_recomputation.cse : 0.000014s : 0.00% auto_monad_reorder : 0.000017s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000487s : 0.00% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000009s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000018s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000008s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000013s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000082s : 0.00% backend_pass : 0.000002s : 0.00% task_emit : 1.049288s : 7.62% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 2.631868 288 0.00% : 0.000005s : 1: substitution.depend_value_elim 0.00% : 0.000003s : 2: substitution.elim_not_effective 0.00% : 0.000001s : 2: substitution.fold_const_symbol 99.94% : 2.630206s : 64: substitution.getattr_setattr_resolve 0.00% : 0.000006s : 4: substitution.graph_param_transform 0.04% : 0.001054s : 34: substitution.inline 0.01% : 0.000221s : 30: substitution.inline_without_move 0.00% : 0.000011s : 21: substitution.j_node_and_user_rematch 0.00% : 0.000049s : 4: substitution.less_batch_normalization 0.00% : 0.000010s : 4: substitution.minmaximum_grad 0.00% : 0.000003s : 2: substitution.partial_eliminate 0.00% : 0.000015s : 21: substitution.remove_not_recompute_node 0.00% : 0.000098s : 29: substitution.replace_applicator 0.00% : 0.000026s : 37: substitution.replace_old_param 0.00% : 0.000007s : 1: substitution.reset_defer_inline 0.00% : 0.000011s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.00% : 0.000021s : 6: substitution.switch_simplify 0.00% : 0.000023s : 2: 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 0.00% : 0.000056s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 3.182287 2 99.87% : 3.178263s : 1: type_inference.infer 0.13% : 0.004023s : 1: type_inference.specialize ------[replace.] 0.001617 101 0.51% : 0.000008s : 1: replace.depend_value_elim 73.55% : 0.001190s : 55: replace.getattr_setattr_resolve 16.50% : 0.000267s : 32: replace.inline 6.00% : 0.000097s : 6: replace.switch_simplify 0.72% : 0.000012s : 2: replace.transpose_eliminate 2.73% : 0.000044s : 5: replace.tuple_list_get_item_eliminator ------[match.] 2.630965 101 0.00% : 0.000003s : 1: match.depend_value_elim 99.96% : 2.629879s : 55: match.getattr_setattr_resolve 0.04% : 0.001025s : 32: match.inline 0.00% : 0.000016s : 6: match.switch_simplify 0.00% : 0.000021s : 2: match.transpose_eliminate 0.00% : 0.000021s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000952 5242 0.96% : 0.000009s : 66: predicate.accumulaten_eliminater 0.17% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.91% : 0.000009s : 66: predicate.addn_check_dump 1.13% : 0.000011s : 66: predicate.addn_zero_filter 1.49% : 0.000014s : 66: predicate.arithmetic_simplify 1.05% : 0.000010s : 68: predicate.cast_eliminate 0.24% : 0.000002s : 16: predicate.check_bprop_eliminate 0.98% : 0.000009s : 66: predicate.compare_switch_simplify 1.16% : 0.000011s : 66: predicate.depend_value_elim 1.08% : 0.000010s : 68: predicate.dict_get_item_const_eliminator 1.09% : 0.000010s : 68: predicate.dict_get_item_eliminator 0.95% : 0.000009s : 68: predicate.dict_set_item_eliminator 0.11% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.05% : 0.000001s : 4: predicate.elim_not_effective 0.08% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.02% : 0.000010s : 68: predicate.environ_add_const_eliminate 0.95% : 0.000009s : 68: predicate.environ_get_add_eliminate 1.01% : 0.000010s : 68: predicate.environ_get_depend_swap 1.06% : 0.000010s : 68: predicate.environ_get_eliminate 1.02% : 0.000010s : 68: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 4: predicate.fold_const_symbol 0.58% : 0.000006s : 33: predicate.get_grad_eliminate 23.20% : 0.000221s : 614: predicate.getattr_setattr_resolve 0.06% : 0.000001s : 4: predicate.graph_param_transform 3.48% : 0.000033s : 128: predicate.inline 5.18% : 0.000049s : 291: predicate.inline_without_move 0.25% : 0.000002s : 33: predicate.j_node_and_user_rematch 0.85% : 0.000008s : 33: predicate.less_batch_normalization 1.15% : 0.000011s : 71: predicate.list_to_tuple_eliminator_ 1.18% : 0.000011s : 75: predicate.load_eliminater 0.22% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.48% : 0.000024s : 165: predicate.loop_unroll_before_grad 1.19% : 0.000011s : 72: predicate.make_slice_get_slice_eliminator 1.73% : 0.000016s : 66: predicate.merge_addn 0.95% : 0.000009s : 66: predicate.minmaximum_grad 0.53% : 0.000005s : 12: predicate.mutable_eliminate 0.22% : 0.000002s : 4: predicate.opt_reshape 1.42% : 0.000013s : 75: predicate.partial_eliminate 0.95% : 0.000009s : 65: predicate.print_const_string_wrapper 1.44% : 0.000014s : 68: predicate.reduce_eliminate 1.10% : 0.000010s : 71: predicate.redundant_stop_gradient_eliminater 0.29% : 0.000003s : 33: predicate.remove_not_recompute_node 2.06% : 0.000020s : 197: predicate.replace_applicator 2.32% : 0.000022s : 291: predicate.replace_old_param 0.25% : 0.000002s : 24: predicate.reset_defer_inline 1.05% : 0.000010s : 68: predicate.reshape_eliminate 1.00% : 0.000009s : 65: predicate.row_tensor_add_zeros_like 0.34% : 0.000003s : 16: predicate.row_tensor_eliminate 1.04% : 0.000010s : 65: predicate.same_eliminate 0.34% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.34% : 0.000003s : 20: predicate.special_op_eliminate 0.57% : 0.000005s : 33: predicate.specialize_transform 1.36% : 0.000013s : 65: predicate.split_environ_get_set_with_tuple_value 1.05% : 0.000010s : 65: predicate.stack_unstack_eliminate 0.08% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.60% : 0.000025s : 102: predicate.switch_defer_inline 1.67% : 0.000016s : 102: predicate.switch_layer_defer_inline 4.80% : 0.000046s : 283: predicate.switch_simplify 1.19% : 0.000011s : 68: predicate.tile_eliminate 1.12% : 0.000011s : 68: predicate.transpose_eliminate 1.30% : 0.000012s : 68: predicate.tuple_list_convert_item_index_to_positive 1.16% : 0.000011s : 68: predicate.tuple_list_get_item_depend_reorder 2.47% : 0.000024s : 103: predicate.tuple_list_get_item_eliminator 1.26% : 0.000012s : 68: predicate.tuple_list_set_item_eliminator 1.10% : 0.000011s : 71: predicate.tuple_to_list_eliminator_ 1.04% : 0.000010s : 75: predicate.updatestate_pure_node_eliminater 1.77% : 0.000017s : 108: predicate.updatestate_useless_node_eliminater 1.33% : 0.000013s : 65: predicate.value_based_eliminate 0.05% : 0.000000s : 4: predicate.virtual_view_grad_eliminate 0.35% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.819353 102 99.60% : 0.816063s : 62: func_graph_cloner_run.FuncGraphClonerGraph 0.40% : 0.003290s : 40: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 24.135771 103 0.00% : 0.000111s : 1: add_recomputation 0.00% : 0.000135s : 1: auto_monad 0.00% : 0.000020s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.00% : 0.000900s : 1: bootstrap 0.00% : 0.000032s : 1: cconv 0.00% : 0.000027s : 1: convert_after_rewriter 0.00% : 0.000030s : 1: cse_after_recomputation 0.00% : 0.000013s : 1: environ_conv 0.00% : 0.000754s : 1: event_method 0.00% : 0.000015s : 1: execute 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 42.97% : 10.371032s : 1: jit_opt_a 0.00% : 0.000186s : 1: jit_opt_after_cconv 0.00% : 0.000370s : 1: jit_opt_b 0.00% : 0.000530s : 1: loop_unroll 0.00% : 0.000897s : 1: mutable_eliminate 4.32% : 1.043542s : 39: opt.transform.jit_opt_a 0.00% : 0.000065s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000299s : 14: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000030s : 1: opt.transform.mutable_eliminate 0.00% : 0.000029s : 1: opt.transform.opt_after_jit_grad 10.91% : 2.632630s : 2: opt.transform.opt_resolve 0.00% : 0.000042s : 4: opt.transform.symbol_engine_opt 0.00% : 0.000495s : 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% : 0.000043s : 1: py_interpret_to_execute 0.00% : 0.000028s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 24.17% : 5.834767s : 2: renormalize.infer 0.06% : 0.015164s : 2: renormalize.specialize 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.001293s : 1: rewriter_after_opt_a 0.00% : 0.000155s : 1: rewriter_before_opt_a 0.00% : 0.000093s : 1: symbol_engine_optimizer 4.35% : 1.049307s : 1: task_emit 13.19% : 3.182488s : 1: type_inference 0.00% : 0.000153s : 1: validate . [hook] pytest_runtest_teardown:test_squeeze_vmap[16-KBK] tests/st/mint/test_squeeze.py::test_squeeze_vmap[16-KBK],max_mem:4.0M TotalTime = 5.83061, [33] [bootstrap]: 0.00078256 [type_inference]: 1.80683 [event_method]: 0.0009718 [auto_monad]: 0.00013889 [graph_reusing]: 8.99e-06 [pre_auto_parallel]: 3.8e-06 [py_interpret_to_execute]: 4.85e-05 [rewriter_before_opt_a]: 0.00017065 [expand_dump_flag]: 4.13001e-06 [jit_opt_a]: 3.80117, [3] [Cycle 1]: 3.59743, [27] [switch_simplify]: 8.969e-05 [loop_unroll]: 5.253e-05 [a_1]: 0.3808 [with_stream_mark]: 4.036e-05 [recompute_prepare]: 3.481e-05 [updatestate_depend_eliminate]: 8e-06 [updatestate_assign_eliminate]: 5.84999e-06 [updatestate_loads_eliminate]: 5.74e-06 [parameter_eliminate]: 3.59002e-06 [specialize_transform]: 1.234e-05 [updatestate_useless_node_eliminater]: 1.043e-05 [accelerated_algorithm]: 1.117e-05 [meta_shard_fg_expand]: 4.15e-06 [get_grad_eliminate_]: 1.081e-05 [merge_forward]: 6.37001e-06 [cell_reuse_recompute_pass]: 9.89996e-07 [cell_reuse_handle_not_recompute_node_pass]: 2.413e-05 [j_node_and_user_rematch]: 1.827e-05 [meta_fg_expand]: 1.27143, [1] [Cycle 1]: 1.26332, [1] [resolve]: 1.26327 [replace_old_param]: 0.00029376 [inline_without_move]: 0.00047547 [renormalize]: 1.9415 [add_forward_monad_depend]: 3.249e-05 [auto_monad_grad]: 0.00160274 [auto_monad_eliminator]: 0.00011418 [cse]: 0.00026118 [replace_applicator]: 0.0002268 [Cycle 2]: 0.197856, [27] [switch_simplify]: 0.00023154 [loop_unroll]: 8.299e-05 [a_1]: 0.00196387 [with_stream_mark]: 3.332e-05 [recompute_prepare]: 2.31e-05 [updatestate_depend_eliminate]: 9.86998e-06 [updatestate_assign_eliminate]: 7.75e-06 [updatestate_loads_eliminate]: 6.71e-06 [parameter_eliminate]: 3.31999e-06 [specialize_transform]: 2.094e-05 [updatestate_useless_node_eliminater]: 1.428e-05 [accelerated_algorithm]: 6.008e-05 [meta_shard_fg_expand]: 6.96001e-06 [get_grad_eliminate_]: 1.444e-05 [merge_forward]: 8.44998e-06 [cell_reuse_recompute_pass]: 1.02e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.882e-05 [j_node_and_user_rematch]: 2.259e-05 [meta_fg_expand]: 0.00023248 [replace_old_param]: 2.462e-05 [inline_without_move]: 1.928e-05 [renormalize]: 0.194654 [add_forward_monad_depend]: 1.006e-05 [auto_monad_grad]: 4.95001e-06 [auto_monad_eliminator]: 3.108e-05 [cse]: 6.73e-05 [replace_applicator]: 4.815e-05 [Cycle 3]: 0.00096823, [27] [switch_simplify]: 1.599e-05 [loop_unroll]: 1.454e-05 [a_1]: 0.00046867 [with_stream_mark]: 2.502e-05 [recompute_prepare]: 2.212e-05 [updatestate_depend_eliminate]: 1.027e-05 [updatestate_assign_eliminate]: 7.3e-06 [updatestate_loads_eliminate]: 6.57002e-06 [parameter_eliminate]: 3.09001e-06 [specialize_transform]: 2.065e-05 [updatestate_useless_node_eliminater]: 1.46e-05 [accelerated_algorithm]: 2.176e-05 [meta_shard_fg_expand]: 4.09002e-06 [get_grad_eliminate_]: 1.428e-05 [merge_forward]: 8.35999e-06 [cell_reuse_recompute_pass]: 1.25001e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.001e-05 [j_node_and_user_rematch]: 2.298e-05 [meta_fg_expand]: 6.67002e-06 [replace_old_param]: 1.982e-05 [inline_without_move]: 1.727e-05 [renormalize]: 3.09985e-07 [add_forward_monad_depend]: 2.19999e-06 [auto_monad_grad]: 1.67001e-06 [auto_monad_eliminator]: 1.678e-05 [cse]: 4.079e-05 [replace_applicator]: 1.844e-05 [py_interpret_to_execute_after_opt_a]: 2.109e-05 [rewriter_after_opt_a]: 0.00117679 [convert_after_rewriter]: 4.711e-05 [order_py_execute_after_rewriter]: 1.205e-05 [mutable_eliminate]: 0.00076293 [jit_opt_b]: 0.00039325, [2] [Cycle 1]: 0.00033547, [2] [frontend_op_eliminate]: 4.764e-05 [inline_after_opt_a]: 0.00026888 [Cycle 2]: 4.385e-05, [2] [frontend_op_eliminate]: 1.7e-05 [inline_after_opt_a]: 1.434e-05 [cconv]: 2.481e-05 [loop_unroll]: 0.0008268 [jit_opt_after_cconv]: 0.00020809, [1] [Cycle 1]: 0.00020043, [11] [c_1]: 5.261e-05 [parameter_eliminate]: 5.09e-06 [updatestate_depend_eliminate]: 8.80999e-06 [updatestate_assign_eliminate]: 4.32e-06 [updatestate_loads_eliminate]: 2.54001e-06 [cse]: 2.721e-05 [call_graph_tuple_transform]: 2.391e-05 [tuple_list_get_item_eliminator]: 8.73001e-06 [none_parameter_eliminate]: 1.79e-06 [renormalize]: 5.39992e-07 [switch_simplify]: 7.11001e-06 [remove_dup_value]: 1.926e-05 [partial_unused_args_eliminate]: 3.07002e-06 [environ_conv]: 9.91998e-06 [add_recomputation]: 5.31e-05 [cse_after_recomputation]: 2.543e-05, [1] [Cycle 1]: 1.963e-05, [1] [cse]: 1.332e-05 [auto_monad_reorder]: 1.608e-05 [get_jit_bprop_graph]: 2.91e-06 [rewriter_after_jit_bprop_graph]: 6.24999e-06 [opt_after_jit_grad]: 0.00052736 [symbol_engine_optimizer]: 8.67e-05, [1] [Cycle 1]: 7.918e-05, [6] [build]: 4.82e-06 [elim_shapecalc]: 1.089e-05 [elim_not_effective]: 1.452e-05 [opt_reshape]: 7.23e-06 [fold_const_symbol]: 1.068e-05 [renormalize]: 5.19998e-07 [validate]: 4.332e-05 [backend_pass]: 1.95001e-06 [task_emit]: 0.215823 [execute]: 9.16002e-06 Sums bootstrap : 0.000783s : 0.01% type_inference : 1.806825s : 31.06% event_method : 0.000972s : 0.02% auto_monad : 0.000139s : 0.00% graph_reusing : 0.000009s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000049s : 0.00% rewriter_before_opt_a : 0.000171s : 0.00% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000337s : 0.01% jit_opt_a.loop_unroll : 0.000150s : 0.00% jit_opt_a.a_1 : 0.383233s : 6.59% jit_opt_a.with_stream_mark : 0.000099s : 0.00% jit_opt_a.recompute_prepare : 0.000080s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000028s : 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 : 0.000010s : 0.00% jit_opt_a.specialize_transform : 0.000054s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000039s : 0.00% jit_opt_a.accelerated_algorithm : 0.000093s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000015s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000040s : 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 : 0.000083s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000064s : 0.00% jit_opt_a.meta_fg_expand : 0.000239s : 0.00% jit_opt_a.meta_fg_expand.resolve : 1.263273s : 21.72% jit_opt_a.replace_old_param : 0.000338s : 0.01% jit_opt_a.inline_without_move : 0.000512s : 0.01% jit_opt_a.renormalize : 2.136150s : 36.73% jit_opt_a.add_forward_monad_depend : 0.000045s : 0.00% jit_opt_a.auto_monad_grad : 0.001609s : 0.03% jit_opt_a.auto_monad_eliminator : 0.000162s : 0.00% jit_opt_a.cse : 0.000369s : 0.01% jit_opt_a.replace_applicator : 0.000293s : 0.01% py_interpret_to_execute_after_opt_a : 0.000021s : 0.00% rewriter_after_opt_a : 0.001177s : 0.02% convert_after_rewriter : 0.000047s : 0.00% order_py_execute_after_rewriter : 0.000012s : 0.00% mutable_eliminate : 0.000763s : 0.01% jit_opt_b.frontend_op_eliminate : 0.000065s : 0.00% jit_opt_b.inline_after_opt_a : 0.000283s : 0.00% cconv : 0.000025s : 0.00% loop_unroll : 0.000827s : 0.01% jit_opt_after_cconv.c_1 : 0.000053s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000027s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000024s : 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 : 0.000003s : 0.00% environ_conv : 0.000010s : 0.00% add_recomputation : 0.000053s : 0.00% cse_after_recomputation.cse : 0.000013s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000006s : 0.00% opt_after_jit_grad : 0.000527s : 0.01% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000015s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000007s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000043s : 0.00% backend_pass : 0.000002s : 0.00% task_emit : 0.215823s : 3.71% execute : 0.000009s : 0.00% Time group info: ------[substitution.] 1.261953 288 0.00% : 0.000003s : 1: substitution.depend_value_elim 0.00% : 0.000003s : 2: substitution.elim_not_effective 0.00% : 0.000001s : 2: substitution.fold_const_symbol 99.88% : 1.260392s : 64: substitution.getattr_setattr_resolve 0.00% : 0.000006s : 4: substitution.graph_param_transform 0.08% : 0.000977s : 34: substitution.inline 0.02% : 0.000206s : 30: substitution.inline_without_move 0.00% : 0.000011s : 21: substitution.j_node_and_user_rematch 0.00% : 0.000044s : 4: substitution.less_batch_normalization 0.00% : 0.000009s : 4: substitution.minmaximum_grad 0.00% : 0.000006s : 2: substitution.partial_eliminate 0.00% : 0.000015s : 21: substitution.remove_not_recompute_node 0.01% : 0.000099s : 29: substitution.replace_applicator 0.00% : 0.000025s : 37: substitution.replace_old_param 0.00% : 0.000007s : 1: substitution.reset_defer_inline 0.00% : 0.000011s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.00% : 0.000019s : 6: substitution.switch_simplify 0.00% : 0.000015s : 2: substitution.transpose_eliminate 0.00% : 0.000018s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000013s : 4: substitution.tuple_list_get_item_depend_reorder 0.01% : 0.000064s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.806684 2 99.75% : 1.802201s : 1: type_inference.infer 0.25% : 0.004482s : 1: type_inference.specialize ------[replace.] 0.001758 101 0.34% : 0.000006s : 1: replace.depend_value_elim 75.48% : 0.001326s : 55: replace.getattr_setattr_resolve 15.36% : 0.000270s : 32: replace.inline 5.26% : 0.000092s : 6: replace.switch_simplify 0.62% : 0.000011s : 2: replace.transpose_eliminate 2.94% : 0.000052s : 5: replace.tuple_list_get_item_eliminator ------[match.] 1.261018 101 0.00% : 0.000002s : 1: match.depend_value_elim 99.92% : 1.260004s : 55: match.getattr_setattr_resolve 0.08% : 0.000950s : 32: match.inline 0.00% : 0.000015s : 6: match.switch_simplify 0.00% : 0.000014s : 2: match.transpose_eliminate 0.00% : 0.000032s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000960 5242 1.03% : 0.000010s : 66: predicate.accumulaten_eliminater 0.19% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 1.16% : 0.000011s : 66: predicate.addn_check_dump 1.00% : 0.000010s : 66: predicate.addn_zero_filter 1.60% : 0.000015s : 66: predicate.arithmetic_simplify 1.04% : 0.000010s : 68: predicate.cast_eliminate 0.24% : 0.000002s : 16: predicate.check_bprop_eliminate 0.94% : 0.000009s : 66: predicate.compare_switch_simplify 1.04% : 0.000010s : 66: predicate.depend_value_elim 0.94% : 0.000009s : 68: predicate.dict_get_item_const_eliminator 0.97% : 0.000009s : 68: predicate.dict_get_item_eliminator 0.98% : 0.000009s : 68: predicate.dict_set_item_eliminator 0.11% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.05% : 0.000001s : 4: predicate.elim_not_effective 0.09% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.00% : 0.000010s : 68: predicate.environ_add_const_eliminate 1.01% : 0.000010s : 68: predicate.environ_get_add_eliminate 0.92% : 0.000009s : 68: predicate.environ_get_depend_swap 1.01% : 0.000010s : 68: predicate.environ_get_eliminate 0.92% : 0.000009s : 68: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 4: predicate.fold_const_symbol 0.57% : 0.000006s : 33: predicate.get_grad_eliminate 25.22% : 0.000242s : 614: predicate.getattr_setattr_resolve 0.07% : 0.000001s : 4: predicate.graph_param_transform 3.42% : 0.000033s : 128: predicate.inline 5.06% : 0.000049s : 291: predicate.inline_without_move 0.26% : 0.000003s : 33: predicate.j_node_and_user_rematch 0.69% : 0.000007s : 33: predicate.less_batch_normalization 1.15% : 0.000011s : 71: predicate.list_to_tuple_eliminator_ 1.12% : 0.000011s : 75: predicate.load_eliminater 0.24% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.45% : 0.000024s : 165: predicate.loop_unroll_before_grad 1.17% : 0.000011s : 72: predicate.make_slice_get_slice_eliminator 0.88% : 0.000008s : 66: predicate.merge_addn 0.93% : 0.000009s : 66: predicate.minmaximum_grad 0.50% : 0.000005s : 12: predicate.mutable_eliminate 0.09% : 0.000001s : 4: predicate.opt_reshape 1.36% : 0.000013s : 75: predicate.partial_eliminate 0.95% : 0.000009s : 65: predicate.print_const_string_wrapper 1.48% : 0.000014s : 68: predicate.reduce_eliminate 1.06% : 0.000010s : 71: predicate.redundant_stop_gradient_eliminater 0.28% : 0.000003s : 33: predicate.remove_not_recompute_node 2.08% : 0.000020s : 197: predicate.replace_applicator 2.26% : 0.000022s : 291: predicate.replace_old_param 0.25% : 0.000002s : 24: predicate.reset_defer_inline 1.01% : 0.000010s : 68: predicate.reshape_eliminate 1.04% : 0.000010s : 65: predicate.row_tensor_add_zeros_like 0.33% : 0.000003s : 16: predicate.row_tensor_eliminate 0.96% : 0.000009s : 65: predicate.same_eliminate 0.32% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.33% : 0.000003s : 20: predicate.special_op_eliminate 0.61% : 0.000006s : 33: predicate.specialize_transform 1.36% : 0.000013s : 65: predicate.split_environ_get_set_with_tuple_value 1.02% : 0.000010s : 65: predicate.stack_unstack_eliminate 0.09% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.55% : 0.000024s : 102: predicate.switch_defer_inline 1.68% : 0.000016s : 102: predicate.switch_layer_defer_inline 4.71% : 0.000045s : 283: predicate.switch_simplify 1.07% : 0.000010s : 68: predicate.tile_eliminate 1.10% : 0.000011s : 68: predicate.transpose_eliminate 1.26% : 0.000012s : 68: predicate.tuple_list_convert_item_index_to_positive 1.17% : 0.000011s : 68: predicate.tuple_list_get_item_depend_reorder 2.62% : 0.000025s : 103: predicate.tuple_list_get_item_eliminator 1.34% : 0.000013s : 68: predicate.tuple_list_set_item_eliminator 1.06% : 0.000010s : 71: predicate.tuple_to_list_eliminator_ 1.09% : 0.000010s : 75: predicate.updatestate_pure_node_eliminater 1.79% : 0.000017s : 108: predicate.updatestate_useless_node_eliminater 1.26% : 0.000012s : 65: predicate.value_based_eliminate 0.06% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.35% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.011541 102 71.83% : 0.008290s : 62: func_graph_cloner_run.FuncGraphClonerGraph 28.17% : 0.003252s : 40: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 9.615500 103 0.00% : 0.000056s : 1: add_recomputation 0.00% : 0.000145s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: backend_pass 0.01% : 0.000833s : 1: bootstrap 0.00% : 0.000028s : 1: cconv 0.00% : 0.000054s : 1: convert_after_rewriter 0.00% : 0.000028s : 1: cse_after_recomputation 0.00% : 0.000013s : 1: environ_conv 0.01% : 0.000987s : 1: event_method 0.00% : 0.000014s : 1: execute 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 39.53% : 3.801175s : 1: jit_opt_a 0.00% : 0.000212s : 1: jit_opt_after_cconv 0.00% : 0.000397s : 1: jit_opt_b 0.01% : 0.000837s : 1: loop_unroll 0.01% : 0.000772s : 1: mutable_eliminate 4.01% : 0.385248s : 39: opt.transform.jit_opt_a 0.00% : 0.000088s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000322s : 14: opt.transform.jit_opt_b 0.00% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000028s : 1: opt.transform.mutable_eliminate 0.00% : 0.000029s : 1: opt.transform.opt_after_jit_grad 13.14% : 1.263066s : 2: opt.transform.opt_resolve 0.00% : 0.000040s : 4: opt.transform.symbol_engine_opt 0.01% : 0.000536s : 1: opt_after_jit_grad 0.00% : 0.000015s : 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% : 0.000051s : 1: py_interpret_to_execute 0.00% : 0.000024s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 19.69% : 1.892870s : 2: renormalize.infer 2.53% : 0.243246s : 2: renormalize.specialize 0.00% : 0.000008s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.001184s : 1: rewriter_after_opt_a 0.00% : 0.000174s : 1: rewriter_before_opt_a 0.00% : 0.000089s : 1: symbol_engine_optimizer 2.24% : 0.215843s : 1: task_emit 18.79% : 1.806850s : 1: type_inference 0.00% : 0.000142s : 1: validate . [hook] pytest_runtest_teardown:test_squeeze_vmap[32-pynative] tests/st/mint/test_squeeze.py::test_squeeze_vmap[32-pynative],max_mem:4.0M [WARNING] ME(165457:281473543872304,MainProcess):2026-01-29-17:42:22.684.044 [mindspore/graph/api.py:1147] The func .after_vmap at 0xfffee007eaf0> should be wrapped by jit only once. [WARNING] ME(165457:281473543872304,MainProcess):2026-01-29-17:42:22.685.850 [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 = 2.47595, [33] [bootstrap]: 0.00068098 [type_inference]: 1.06994 [event_method]: 0.00074373 [auto_monad]: 0.00012966 [graph_reusing]: 8.02e-06 [pre_auto_parallel]: 4.08001e-06 [py_interpret_to_execute]: 4.446e-05 [rewriter_before_opt_a]: 0.00012986 [expand_dump_flag]: 4.05e-06 [jit_opt_a]: 1.31228, [3] [Cycle 1]: 1.14259, [27] [switch_simplify]: 9.831e-05 [loop_unroll]: 5.509e-05 [a_1]: 0.00116701 [with_stream_mark]: 4.041e-05 [recompute_prepare]: 1.989e-05 [updatestate_depend_eliminate]: 8.28999e-06 [updatestate_assign_eliminate]: 5.26998e-06 [updatestate_loads_eliminate]: 5.05001e-06 [parameter_eliminate]: 3.11001e-06 [specialize_transform]: 1.157e-05 [updatestate_useless_node_eliminater]: 1.109e-05 [accelerated_algorithm]: 1.121e-05 [meta_shard_fg_expand]: 3.38e-06 [get_grad_eliminate_]: 1.082e-05 [merge_forward]: 5.89e-06 [cell_reuse_recompute_pass]: 9.79984e-07 [cell_reuse_handle_not_recompute_node_pass]: 2.397e-05 [j_node_and_user_rematch]: 1.768e-05 [meta_fg_expand]: 0.399486, [1] [Cycle 1]: 0.390148, [1] [resolve]: 0.390105 [replace_old_param]: 0.00029365 [inline_without_move]: 0.00050472 [renormalize]: 0.738584 [add_forward_monad_depend]: 3.001e-05 [auto_monad_grad]: 0.00131716 [auto_monad_eliminator]: 0.00010712 [cse]: 0.00024869 [replace_applicator]: 0.00021078 [Cycle 2]: 0.00971496, [27] [switch_simplify]: 0.00021878 [loop_unroll]: 8.149e-05 [a_1]: 0.00216167 [with_stream_mark]: 2.731e-05 [recompute_prepare]: 2.231e-05 [updatestate_depend_eliminate]: 1.014e-05 [updatestate_assign_eliminate]: 8.02e-06 [updatestate_loads_eliminate]: 6.73998e-06 [parameter_eliminate]: 3.85e-06 [specialize_transform]: 2.016e-05 [updatestate_useless_node_eliminater]: 1.408e-05 [accelerated_algorithm]: 5.325e-05 [meta_shard_fg_expand]: 6.79001e-06 [get_grad_eliminate_]: 1.368e-05 [merge_forward]: 7.85e-06 [cell_reuse_recompute_pass]: 1.22e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.856e-05 [j_node_and_user_rematch]: 2.21e-05 [meta_fg_expand]: 0.00021504 [replace_old_param]: 2.328e-05 [inline_without_move]: 1.95e-05 [renormalize]: 0.00639528 [add_forward_monad_depend]: 9.49999e-06 [auto_monad_grad]: 3.83001e-06 [auto_monad_eliminator]: 2.731e-05 [cse]: 6.465e-05 [replace_applicator]: 4.011e-05 [Cycle 3]: 0.00092606, [27] [switch_simplify]: 1.569e-05 [loop_unroll]: 1.477e-05 [a_1]: 0.00044807 [with_stream_mark]: 2.17e-05 [recompute_prepare]: 2.132e-05 [updatestate_depend_eliminate]: 1.002e-05 [updatestate_assign_eliminate]: 7.13e-06 [updatestate_loads_eliminate]: 6.38e-06 [parameter_eliminate]: 2.64999e-06 [specialize_transform]: 2.026e-05 [updatestate_useless_node_eliminater]: 1.411e-05 [accelerated_algorithm]: 2.03e-05 [meta_shard_fg_expand]: 4.08001e-06 [get_grad_eliminate_]: 1.362e-05 [merge_forward]: 8.57998e-06 [cell_reuse_recompute_pass]: 1.02998e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.849e-05 [j_node_and_user_rematch]: 2.214e-05 [meta_fg_expand]: 5.77999e-06 [replace_old_param]: 1.796e-05 [inline_without_move]: 1.653e-05 [renormalize]: 7.99773e-08 [add_forward_monad_depend]: 1.97999e-06 [auto_monad_grad]: 2.02999e-06 [auto_monad_eliminator]: 1.644e-05 [cse]: 4.034e-05 [replace_applicator]: 1.8e-05 [py_interpret_to_execute_after_opt_a]: 2.024e-05 [rewriter_after_opt_a]: 0.00105431 [convert_after_rewriter]: 2.47e-05 [order_py_execute_after_rewriter]: 1.03e-05 [mutable_eliminate]: 0.00075402 [jit_opt_b]: 0.00033389, [2] [Cycle 1]: 0.00028026, [2] [frontend_op_eliminate]: 4.551e-05 [inline_after_opt_a]: 0.0002183 [Cycle 2]: 4.114e-05, [2] [frontend_op_eliminate]: 1.66e-05 [inline_after_opt_a]: 1.351e-05 [cconv]: 2.505e-05 [loop_unroll]: 0.00054663 [jit_opt_after_cconv]: 0.00016525, [1] [Cycle 1]: 0.00015873, [11] [c_1]: 2.967e-05 [parameter_eliminate]: 3.8e-06 [updatestate_depend_eliminate]: 6.33e-06 [updatestate_assign_eliminate]: 3.65998e-06 [updatestate_loads_eliminate]: 2.80002e-06 [cse]: 2.215e-05 [call_graph_tuple_transform]: 2.179e-05 [tuple_list_get_item_eliminator]: 8.27998e-06 [none_parameter_eliminate]: 1.50999e-06 [renormalize]: 7.40023e-07 [switch_simplify]: 6.76e-06 [remove_dup_value]: 1.607e-05 [partial_unused_args_eliminate]: 2.14e-06 [environ_conv]: 8.37e-06 [add_recomputation]: 5.663e-05 [cse_after_recomputation]: 2.377e-05, [1] [Cycle 1]: 1.833e-05, [1] [cse]: 1.254e-05 [auto_monad_reorder]: 1.564e-05 [get_jit_bprop_graph]: 2.84999e-06 [rewriter_after_jit_bprop_graph]: 4.75999e-06 [opt_after_jit_grad]: 0.0798903 [symbol_engine_optimizer]: 0.00010669, [1] [Cycle 1]: 9.503e-05, [6] [build]: 9.48002e-06 [elim_shapecalc]: 1.022e-05 [elim_not_effective]: 2.445e-05 [opt_reshape]: 7.38999e-06 [fold_const_symbol]: 1.132e-05 [renormalize]: 1.24e-06 [validate]: 7.021e-05 [backend_pass]: 1.40001e-06 [task_emit]: 0.00847398 [execute]: 9.42001e-06 Sums bootstrap : 0.000681s : 0.03% type_inference : 1.069939s : 46.39% event_method : 0.000744s : 0.03% auto_monad : 0.000130s : 0.01% graph_reusing : 0.000008s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000044s : 0.00% rewriter_before_opt_a : 0.000130s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000333s : 0.01% jit_opt_a.loop_unroll : 0.000151s : 0.01% jit_opt_a.a_1 : 0.003777s : 0.16% jit_opt_a.with_stream_mark : 0.000089s : 0.00% jit_opt_a.recompute_prepare : 0.000064s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000028s : 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 : 0.000052s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000039s : 0.00% jit_opt_a.accelerated_algorithm : 0.000085s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000014s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000038s : 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 : 0.000081s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000062s : 0.00% jit_opt_a.meta_fg_expand : 0.000221s : 0.01% jit_opt_a.meta_fg_expand.resolve : 0.390105s : 16.91% jit_opt_a.replace_old_param : 0.000335s : 0.01% jit_opt_a.inline_without_move : 0.000541s : 0.02% jit_opt_a.renormalize : 0.744979s : 32.30% jit_opt_a.add_forward_monad_depend : 0.000041s : 0.00% jit_opt_a.auto_monad_grad : 0.001323s : 0.06% jit_opt_a.auto_monad_eliminator : 0.000151s : 0.01% jit_opt_a.cse : 0.000354s : 0.02% jit_opt_a.replace_applicator : 0.000269s : 0.01% py_interpret_to_execute_after_opt_a : 0.000020s : 0.00% rewriter_after_opt_a : 0.001054s : 0.05% convert_after_rewriter : 0.000025s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000754s : 0.03% jit_opt_b.frontend_op_eliminate : 0.000062s : 0.00% jit_opt_b.inline_after_opt_a : 0.000232s : 0.01% cconv : 0.000025s : 0.00% loop_unroll : 0.000547s : 0.02% jit_opt_after_cconv.c_1 : 0.000030s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000006s : 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 : 0.000022s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000022s : 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 : 0.000016s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000008s : 0.00% add_recomputation : 0.000057s : 0.00% cse_after_recomputation.cse : 0.000013s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.079890s : 3.46% symbol_engine_optimizer.build : 0.000009s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000010s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000024s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000007s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000070s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.008474s : 0.37% execute : 0.000009s : 0.00% Time group info: ------[substitution.] 0.388915 288 0.00% : 0.000004s : 1: substitution.depend_value_elim 0.00% : 0.000004s : 2: substitution.elim_not_effective 0.00% : 0.000002s : 2: substitution.fold_const_symbol 99.64% : 0.387528s : 64: substitution.getattr_setattr_resolve 0.00% : 0.000006s : 4: substitution.graph_param_transform 0.21% : 0.000812s : 34: substitution.inline 0.05% : 0.000212s : 30: substitution.inline_without_move 0.00% : 0.000011s : 21: substitution.j_node_and_user_rematch 0.01% : 0.000037s : 4: substitution.less_batch_normalization 0.00% : 0.000008s : 4: substitution.minmaximum_grad 0.00% : 0.000004s : 2: substitution.partial_eliminate 0.00% : 0.000016s : 21: substitution.remove_not_recompute_node 0.02% : 0.000091s : 29: substitution.replace_applicator 0.01% : 0.000025s : 37: substitution.replace_old_param 0.00% : 0.000006s : 1: substitution.reset_defer_inline 0.00% : 0.000010s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.00% : 0.000017s : 6: substitution.switch_simplify 0.00% : 0.000015s : 2: substitution.transpose_eliminate 0.00% : 0.000018s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000013s : 4: substitution.tuple_list_get_item_depend_reorder 0.02% : 0.000072s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.069799 2 99.66% : 1.066148s : 1: type_inference.infer 0.34% : 0.003651s : 1: type_inference.specialize ------[replace.] 0.001697 101 12.81% : 0.000217s : 1: replace.depend_value_elim 64.47% : 0.001094s : 55: replace.getattr_setattr_resolve 14.64% : 0.000248s : 32: replace.inline 4.99% : 0.000085s : 6: replace.switch_simplify 0.61% : 0.000010s : 2: replace.transpose_eliminate 2.48% : 0.000042s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.388033 101 0.00% : 0.000003s : 1: match.depend_value_elim 99.78% : 0.387198s : 55: match.getattr_setattr_resolve 0.20% : 0.000786s : 32: match.inline 0.00% : 0.000013s : 6: match.switch_simplify 0.00% : 0.000013s : 2: match.transpose_eliminate 0.01% : 0.000020s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000918 5242 0.99% : 0.000009s : 66: predicate.accumulaten_eliminater 0.47% : 0.000004s : 4: predicate.ad_related_special_op_eliminate 0.94% : 0.000009s : 66: predicate.addn_check_dump 1.04% : 0.000010s : 66: predicate.addn_zero_filter 1.52% : 0.000014s : 66: predicate.arithmetic_simplify 1.02% : 0.000009s : 68: predicate.cast_eliminate 0.25% : 0.000002s : 16: predicate.check_bprop_eliminate 0.96% : 0.000009s : 66: predicate.compare_switch_simplify 1.01% : 0.000009s : 66: predicate.depend_value_elim 1.01% : 0.000009s : 68: predicate.dict_get_item_const_eliminator 1.03% : 0.000009s : 68: predicate.dict_get_item_eliminator 1.04% : 0.000010s : 68: predicate.dict_set_item_eliminator 0.48% : 0.000004s : 4: predicate.dumpgradient_eliminate 0.09% : 0.000001s : 4: predicate.elim_not_effective 0.09% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 0.99% : 0.000009s : 68: predicate.environ_add_const_eliminate 0.96% : 0.000009s : 68: predicate.environ_get_add_eliminate 0.97% : 0.000009s : 68: predicate.environ_get_depend_swap 1.00% : 0.000009s : 68: predicate.environ_get_eliminate 0.96% : 0.000009s : 68: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 4: predicate.fold_const_symbol 0.57% : 0.000005s : 33: predicate.get_grad_eliminate 23.84% : 0.000219s : 614: predicate.getattr_setattr_resolve 0.04% : 0.000000s : 4: predicate.graph_param_transform 3.30% : 0.000030s : 128: predicate.inline 5.42% : 0.000050s : 291: predicate.inline_without_move 0.27% : 0.000003s : 33: predicate.j_node_and_user_rematch 0.77% : 0.000007s : 33: predicate.less_batch_normalization 1.16% : 0.000011s : 71: predicate.list_to_tuple_eliminator_ 1.25% : 0.000011s : 75: predicate.load_eliminater 0.19% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.60% : 0.000024s : 165: predicate.loop_unroll_before_grad 1.21% : 0.000011s : 72: predicate.make_slice_get_slice_eliminator 0.93% : 0.000009s : 66: predicate.merge_addn 0.94% : 0.000009s : 66: predicate.minmaximum_grad 0.49% : 0.000005s : 12: predicate.mutable_eliminate 0.08% : 0.000001s : 4: predicate.opt_reshape 1.39% : 0.000013s : 75: predicate.partial_eliminate 0.96% : 0.000009s : 65: predicate.print_const_string_wrapper 1.46% : 0.000013s : 68: predicate.reduce_eliminate 1.08% : 0.000010s : 71: predicate.redundant_stop_gradient_eliminater 0.31% : 0.000003s : 33: predicate.remove_not_recompute_node 2.17% : 0.000020s : 197: predicate.replace_applicator 2.40% : 0.000022s : 291: predicate.replace_old_param 0.25% : 0.000002s : 24: predicate.reset_defer_inline 1.04% : 0.000010s : 68: predicate.reshape_eliminate 1.00% : 0.000009s : 65: predicate.row_tensor_add_zeros_like 0.33% : 0.000003s : 16: predicate.row_tensor_eliminate 1.03% : 0.000009s : 65: predicate.same_eliminate 0.34% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.37% : 0.000003s : 20: predicate.special_op_eliminate 0.58% : 0.000005s : 33: predicate.specialize_transform 1.19% : 0.000011s : 65: predicate.split_environ_get_set_with_tuple_value 0.99% : 0.000009s : 65: predicate.stack_unstack_eliminate 0.11% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.24% : 0.000021s : 102: predicate.switch_defer_inline 1.75% : 0.000016s : 102: predicate.switch_layer_defer_inline 4.82% : 0.000044s : 283: predicate.switch_simplify 1.11% : 0.000010s : 68: predicate.tile_eliminate 1.14% : 0.000010s : 68: predicate.transpose_eliminate 1.33% : 0.000012s : 68: predicate.tuple_list_convert_item_index_to_positive 1.15% : 0.000011s : 68: predicate.tuple_list_get_item_depend_reorder 2.45% : 0.000022s : 103: predicate.tuple_list_get_item_eliminator 1.27% : 0.000012s : 68: predicate.tuple_list_set_item_eliminator 1.14% : 0.000010s : 71: predicate.tuple_to_list_eliminator_ 1.10% : 0.000010s : 75: predicate.updatestate_pure_node_eliminater 1.86% : 0.000017s : 108: predicate.updatestate_useless_node_eliminater 1.29% : 0.000012s : 65: predicate.value_based_eliminate 0.06% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.33% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.010754 102 72.91% : 0.007841s : 62: func_graph_cloner_run.FuncGraphClonerGraph 27.09% : 0.002913s : 40: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.616985 103 0.00% : 0.000059s : 1: add_recomputation 0.00% : 0.000136s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.00% : 0.000006s : 1: backend_pass 0.02% : 0.000714s : 1: bootstrap 0.00% : 0.000028s : 1: cconv 0.00% : 0.000028s : 1: convert_after_rewriter 0.00% : 0.000026s : 1: cse_after_recomputation 0.00% : 0.000011s : 1: environ_conv 0.02% : 0.000755s : 1: event_method 0.00% : 0.000015s : 1: execute 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000011s : 1: graph_reusing 36.28% : 1.312283s : 1: jit_opt_a 0.00% : 0.000169s : 1: jit_opt_after_cconv 0.01% : 0.000337s : 1: jit_opt_b 0.02% : 0.000555s : 1: loop_unroll 0.02% : 0.000763s : 1: mutable_eliminate 0.16% : 0.005763s : 39: opt.transform.jit_opt_a 0.00% : 0.000062s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000271s : 14: opt.transform.jit_opt_b 0.00% : 0.000014s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000028s : 1: opt.transform.mutable_eliminate 0.00% : 0.000061s : 1: opt.transform.opt_after_jit_grad 10.78% : 0.389898s : 2: opt.transform.opt_resolve 0.00% : 0.000050s : 4: opt.transform.symbol_engine_opt 2.21% : 0.079917s : 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% : 0.000048s : 1: py_interpret_to_execute 0.00% : 0.000023s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000018s : 1: remove_dup_value 18.08% : 0.653874s : 2: renormalize.infer 2.52% : 0.091076s : 2: renormalize.specialize 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.001061s : 1: rewriter_after_opt_a 0.00% : 0.000133s : 1: rewriter_before_opt_a 0.00% : 0.000111s : 1: symbol_engine_optimizer 0.23% : 0.008494s : 1: task_emit 29.58% : 1.069964s : 1: type_inference 0.00% : 0.000164s : 1: validate . [hook] pytest_runtest_teardown:test_squeeze_vmap[32-KBK] tests/st/mint/test_squeeze.py::test_squeeze_vmap[32-KBK],max_mem:4.0M TotalTime = 2.79706, [33] [bootstrap]: 0.00086973 [type_inference]: 1.31465 [event_method]: 0.00081249 [auto_monad]: 0.00012908 [graph_reusing]: 8.75001e-06 [pre_auto_parallel]: 3.43999e-06 [py_interpret_to_execute]: 5.002e-05 [rewriter_before_opt_a]: 0.00012819 [expand_dump_flag]: 3.81999e-06 [jit_opt_a]: 1.4692, [3] [Cycle 1]: 1.3246, [27] [switch_simplify]: 8.847e-05 [loop_unroll]: 5.612e-05 [a_1]: 0.0012381 [with_stream_mark]: 3.157e-05 [recompute_prepare]: 1.961e-05 [updatestate_depend_eliminate]: 7.18e-06 [updatestate_assign_eliminate]: 5.88998e-06 [updatestate_loads_eliminate]: 5.12e-06 [parameter_eliminate]: 2.69001e-06 [specialize_transform]: 1.218e-05 [updatestate_useless_node_eliminater]: 1.048e-05 [accelerated_algorithm]: 1.095e-05 [meta_shard_fg_expand]: 3.66999e-06 [get_grad_eliminate_]: 1.077e-05 [merge_forward]: 5.94999e-06 [cell_reuse_recompute_pass]: 1.28002e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.336e-05 [j_node_and_user_rematch]: 1.754e-05 [meta_fg_expand]: 0.521216, [1] [Cycle 1]: 0.408141, [1] [resolve]: 0.4081 [replace_old_param]: 0.00028603 [inline_without_move]: 0.00048455 [renormalize]: 0.798674 [add_forward_monad_depend]: 2.534e-05 [auto_monad_grad]: 0.0014792 [auto_monad_eliminator]: 0.00010751 [cse]: 0.0002556 [replace_applicator]: 0.00021351 [Cycle 2]: 0.138865, [27] [switch_simplify]: 0.0002275 [loop_unroll]: 8.403e-05 [a_1]: 0.0019378 [with_stream_mark]: 3.238e-05 [recompute_prepare]: 2.365e-05 [updatestate_depend_eliminate]: 9.29998e-06 [updatestate_assign_eliminate]: 7.98001e-06 [updatestate_loads_eliminate]: 6.83998e-06 [parameter_eliminate]: 3.13e-06 [specialize_transform]: 2.115e-05 [updatestate_useless_node_eliminater]: 1.41e-05 [accelerated_algorithm]: 5.967e-05 [meta_shard_fg_expand]: 6.80998e-06 [get_grad_eliminate_]: 1.495e-05 [merge_forward]: 8.23999e-06 [cell_reuse_recompute_pass]: 9.5999e-07 [cell_reuse_handle_not_recompute_node_pass]: 2.812e-05 [j_node_and_user_rematch]: 2.232e-05 [meta_fg_expand]: 0.00021982 [replace_old_param]: 2.622e-05 [inline_without_move]: 1.956e-05 [renormalize]: 0.135692 [add_forward_monad_depend]: 1.315e-05 [auto_monad_grad]: 4.68001e-06 [auto_monad_eliminator]: 3.314e-05 [cse]: 7.171e-05 [replace_applicator]: 4.701e-05 [Cycle 3]: 0.00090269, [27] [switch_simplify]: 1.676e-05 [loop_unroll]: 1.484e-05 [a_1]: 0.000435 [with_stream_mark]: 2.23e-05 [recompute_prepare]: 1.998e-05 [updatestate_depend_eliminate]: 8.84998e-06 [updatestate_assign_eliminate]: 6.89999e-06 [updatestate_loads_eliminate]: 6.42001e-06 [parameter_eliminate]: 2.86999e-06 [specialize_transform]: 1.951e-05 [updatestate_useless_node_eliminater]: 1.406e-05 [accelerated_algorithm]: 2.066e-05 [meta_shard_fg_expand]: 4.23999e-06 [get_grad_eliminate_]: 1.364e-05 [merge_forward]: 7.92e-06 [cell_reuse_recompute_pass]: 1.14e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.991e-05 [j_node_and_user_rematch]: 2.205e-05 [meta_fg_expand]: 5.76e-06 [replace_old_param]: 1.81e-05 [inline_without_move]: 1.68e-05 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 1.64e-06 [auto_monad_grad]: 1.49e-06 [auto_monad_eliminator]: 1.502e-05 [cse]: 3.724e-05 [replace_applicator]: 1.724e-05 [py_interpret_to_execute_after_opt_a]: 2.066e-05 [rewriter_after_opt_a]: 0.00108911 [convert_after_rewriter]: 2.179e-05 [order_py_execute_after_rewriter]: 1.008e-05 [mutable_eliminate]: 0.00081001 [jit_opt_b]: 0.00035372, [2] [Cycle 1]: 0.00029793, [2] [frontend_op_eliminate]: 4.521e-05 [inline_after_opt_a]: 0.00023645 [Cycle 2]: 4.195e-05, [2] [frontend_op_eliminate]: 1.652e-05 [inline_after_opt_a]: 1.399e-05 [cconv]: 2.763e-05 [loop_unroll]: 0.00047332 [jit_opt_after_cconv]: 0.00017004, [1] [Cycle 1]: 0.00016318, [11] [c_1]: 2.933e-05 [parameter_eliminate]: 4.42998e-06 [updatestate_depend_eliminate]: 6.24999e-06 [updatestate_assign_eliminate]: 3.95e-06 [updatestate_loads_eliminate]: 2.54999e-06 [cse]: 2.469e-05 [call_graph_tuple_transform]: 2.193e-05 [tuple_list_get_item_eliminator]: 7.75e-06 [none_parameter_eliminate]: 1.51002e-06 [renormalize]: 7.49977e-07 [switch_simplify]: 6.59999e-06 [remove_dup_value]: 1.789e-05 [partial_unused_args_eliminate]: 2.19001e-06 [environ_conv]: 8.21002e-06 [add_recomputation]: 5.269e-05 [cse_after_recomputation]: 2.454e-05, [1] [Cycle 1]: 1.899e-05, [1] [cse]: 1.303e-05 [auto_monad_reorder]: 1.567e-05 [get_jit_bprop_graph]: 3.41001e-06 [rewriter_after_jit_bprop_graph]: 5.09e-06 [opt_after_jit_grad]: 0.00050512 [symbol_engine_optimizer]: 8.073e-05, [1] [Cycle 1]: 7.299e-05, [6] [build]: 3.8e-06 [elim_shapecalc]: 9.69999e-06 [elim_not_effective]: 1.437e-05 [opt_reshape]: 6.58003e-06 [fold_const_symbol]: 1.037e-05 [renormalize]: 3.39991e-07 [validate]: 4.57e-05 [backend_pass]: 1.15999e-06 [task_emit]: 0.00711581 [execute]: 8.73001e-06 Sums bootstrap : 0.000870s : 0.03% type_inference : 1.314649s : 49.09% event_method : 0.000812s : 0.03% auto_monad : 0.000129s : 0.00% graph_reusing : 0.000009s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000050s : 0.00% rewriter_before_opt_a : 0.000128s : 0.00% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000333s : 0.01% jit_opt_a.loop_unroll : 0.000155s : 0.01% jit_opt_a.a_1 : 0.003611s : 0.13% jit_opt_a.with_stream_mark : 0.000086s : 0.00% jit_opt_a.recompute_prepare : 0.000063s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000025s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000021s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000018s : 0.00% jit_opt_a.parameter_eliminate : 0.000009s : 0.00% jit_opt_a.specialize_transform : 0.000053s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000039s : 0.00% jit_opt_a.accelerated_algorithm : 0.000091s : 0.00% 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 : 0.000022s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000081s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000062s : 0.00% jit_opt_a.meta_fg_expand : 0.000226s : 0.01% jit_opt_a.meta_fg_expand.resolve : 0.408100s : 15.24% jit_opt_a.replace_old_param : 0.000330s : 0.01% jit_opt_a.inline_without_move : 0.000521s : 0.02% jit_opt_a.renormalize : 0.934366s : 34.89% jit_opt_a.add_forward_monad_depend : 0.000040s : 0.00% jit_opt_a.auto_monad_grad : 0.001485s : 0.06% jit_opt_a.auto_monad_eliminator : 0.000156s : 0.01% jit_opt_a.cse : 0.000365s : 0.01% jit_opt_a.replace_applicator : 0.000278s : 0.01% py_interpret_to_execute_after_opt_a : 0.000021s : 0.00% rewriter_after_opt_a : 0.001089s : 0.04% convert_after_rewriter : 0.000022s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000810s : 0.03% jit_opt_b.frontend_op_eliminate : 0.000062s : 0.00% jit_opt_b.inline_after_opt_a : 0.000250s : 0.01% cconv : 0.000028s : 0.00% loop_unroll : 0.000473s : 0.02% jit_opt_after_cconv.c_1 : 0.000029s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000025s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000022s : 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 : 0.000002s : 0.00% environ_conv : 0.000008s : 0.00% add_recomputation : 0.000053s : 0.00% cse_after_recomputation.cse : 0.000013s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000505s : 0.02% symbol_engine_optimizer.build : 0.000004s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000010s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000014s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000007s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000010s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000046s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.007116s : 0.27% execute : 0.000009s : 0.00% Time group info: ------[substitution.] 0.406870 288 0.00% : 0.000003s : 1: substitution.depend_value_elim 0.00% : 0.000003s : 2: substitution.elim_not_effective 0.00% : 0.000002s : 2: substitution.fold_const_symbol 99.66% : 0.405472s : 64: substitution.getattr_setattr_resolve 0.00% : 0.000006s : 4: substitution.graph_param_transform 0.20% : 0.000830s : 34: substitution.inline 0.05% : 0.000214s : 30: substitution.inline_without_move 0.00% : 0.000011s : 21: substitution.j_node_and_user_rematch 0.01% : 0.000044s : 4: substitution.less_batch_normalization 0.00% : 0.000009s : 4: substitution.minmaximum_grad 0.00% : 0.000004s : 2: substitution.partial_eliminate 0.00% : 0.000016s : 21: substitution.remove_not_recompute_node 0.02% : 0.000090s : 29: substitution.replace_applicator 0.01% : 0.000024s : 37: substitution.replace_old_param 0.00% : 0.000005s : 1: substitution.reset_defer_inline 0.00% : 0.000011s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.00% : 0.000019s : 6: substitution.switch_simplify 0.00% : 0.000015s : 2: substitution.transpose_eliminate 0.00% : 0.000018s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000013s : 4: substitution.tuple_list_get_item_depend_reorder 0.01% : 0.000053s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.314516 2 99.69% : 1.310471s : 1: type_inference.infer 0.31% : 0.004045s : 1: type_inference.specialize ------[replace.] 0.001562 101 0.41% : 0.000006s : 1: replace.depend_value_elim 74.54% : 0.001164s : 55: replace.getattr_setattr_resolve 15.67% : 0.000245s : 32: replace.inline 5.88% : 0.000092s : 6: replace.switch_simplify 0.65% : 0.000010s : 2: replace.transpose_eliminate 2.85% : 0.000045s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.405969 101 0.00% : 0.000003s : 1: match.depend_value_elim 99.79% : 0.405111s : 55: match.getattr_setattr_resolve 0.20% : 0.000805s : 32: match.inline 0.00% : 0.000015s : 6: match.switch_simplify 0.00% : 0.000014s : 2: match.transpose_eliminate 0.01% : 0.000021s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000937 5242 0.99% : 0.000009s : 66: predicate.accumulaten_eliminater 0.17% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.95% : 0.000009s : 66: predicate.addn_check_dump 1.03% : 0.000010s : 66: predicate.addn_zero_filter 1.53% : 0.000014s : 66: predicate.arithmetic_simplify 1.02% : 0.000010s : 68: predicate.cast_eliminate 0.24% : 0.000002s : 16: predicate.check_bprop_eliminate 0.99% : 0.000009s : 66: predicate.compare_switch_simplify 1.01% : 0.000009s : 66: predicate.depend_value_elim 0.94% : 0.000009s : 68: predicate.dict_get_item_const_eliminator 1.10% : 0.000010s : 68: predicate.dict_get_item_eliminator 0.99% : 0.000009s : 68: predicate.dict_set_item_eliminator 0.13% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.05% : 0.000000s : 4: predicate.elim_not_effective 0.09% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 0.99% : 0.000009s : 68: predicate.environ_add_const_eliminate 0.98% : 0.000009s : 68: predicate.environ_get_add_eliminate 0.94% : 0.000009s : 68: predicate.environ_get_depend_swap 1.02% : 0.000010s : 68: predicate.environ_get_eliminate 0.99% : 0.000009s : 68: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 4: predicate.fold_const_symbol 0.66% : 0.000006s : 33: predicate.get_grad_eliminate 24.24% : 0.000227s : 614: predicate.getattr_setattr_resolve 0.04% : 0.000000s : 4: predicate.graph_param_transform 3.38% : 0.000032s : 128: predicate.inline 5.22% : 0.000049s : 291: predicate.inline_without_move 0.26% : 0.000002s : 33: predicate.j_node_and_user_rematch 0.69% : 0.000006s : 33: predicate.less_batch_normalization 1.18% : 0.000011s : 71: predicate.list_to_tuple_eliminator_ 1.25% : 0.000012s : 75: predicate.load_eliminater 0.19% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.64% : 0.000025s : 165: predicate.loop_unroll_before_grad 1.29% : 0.000012s : 72: predicate.make_slice_get_slice_eliminator 0.91% : 0.000009s : 66: predicate.merge_addn 0.94% : 0.000009s : 66: predicate.minmaximum_grad 0.49% : 0.000005s : 12: predicate.mutable_eliminate 0.07% : 0.000001s : 4: predicate.opt_reshape 1.37% : 0.000013s : 75: predicate.partial_eliminate 1.00% : 0.000009s : 65: predicate.print_const_string_wrapper 1.48% : 0.000014s : 68: predicate.reduce_eliminate 1.14% : 0.000011s : 71: predicate.redundant_stop_gradient_eliminater 0.34% : 0.000003s : 33: predicate.remove_not_recompute_node 2.07% : 0.000019s : 197: predicate.replace_applicator 2.33% : 0.000022s : 291: predicate.replace_old_param 0.25% : 0.000002s : 24: predicate.reset_defer_inline 1.00% : 0.000009s : 68: predicate.reshape_eliminate 1.02% : 0.000010s : 65: predicate.row_tensor_add_zeros_like 0.34% : 0.000003s : 16: predicate.row_tensor_eliminate 1.11% : 0.000010s : 65: predicate.same_eliminate 0.34% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.39% : 0.000004s : 20: predicate.special_op_eliminate 0.57% : 0.000005s : 33: predicate.specialize_transform 1.11% : 0.000010s : 65: predicate.split_environ_get_set_with_tuple_value 0.97% : 0.000009s : 65: predicate.stack_unstack_eliminate 0.09% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.19% : 0.000020s : 102: predicate.switch_defer_inline 1.74% : 0.000016s : 102: predicate.switch_layer_defer_inline 4.88% : 0.000046s : 283: predicate.switch_simplify 1.04% : 0.000010s : 68: predicate.tile_eliminate 1.13% : 0.000011s : 68: predicate.transpose_eliminate 1.28% : 0.000012s : 68: predicate.tuple_list_convert_item_index_to_positive 1.36% : 0.000013s : 68: predicate.tuple_list_get_item_depend_reorder 2.33% : 0.000022s : 103: predicate.tuple_list_get_item_eliminator 1.29% : 0.000012s : 68: predicate.tuple_list_set_item_eliminator 1.18% : 0.000011s : 71: predicate.tuple_to_list_eliminator_ 1.31% : 0.000012s : 75: predicate.updatestate_pure_node_eliminater 1.98% : 0.000019s : 108: predicate.updatestate_useless_node_eliminater 1.33% : 0.000012s : 65: predicate.value_based_eliminate 0.05% : 0.000000s : 4: predicate.virtual_view_grad_eliminate 0.32% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.011236 102 70.56% : 0.007928s : 62: func_graph_cloner_run.FuncGraphClonerGraph 29.44% : 0.003308s : 40: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 4.145255 103 0.00% : 0.000056s : 1: add_recomputation 0.00% : 0.000135s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.02% : 0.000924s : 1: bootstrap 0.00% : 0.000030s : 1: cconv 0.00% : 0.000026s : 1: convert_after_rewriter 0.00% : 0.000027s : 1: cse_after_recomputation 0.00% : 0.000011s : 1: environ_conv 0.02% : 0.000825s : 1: event_method 0.00% : 0.000013s : 1: execute 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 35.44% : 1.469204s : 1: jit_opt_a 0.00% : 0.000174s : 1: jit_opt_after_cconv 0.01% : 0.000357s : 1: jit_opt_b 0.01% : 0.000481s : 1: loop_unroll 0.02% : 0.000818s : 1: mutable_eliminate 0.13% : 0.005593s : 39: opt.transform.jit_opt_a 0.00% : 0.000061s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000289s : 14: opt.transform.jit_opt_b 0.00% : 0.000014s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000027s : 1: opt.transform.mutable_eliminate 0.00% : 0.000027s : 1: opt.transform.opt_after_jit_grad 9.84% : 0.407868s : 2: opt.transform.opt_resolve 0.00% : 0.000038s : 4: opt.transform.symbol_engine_opt 0.01% : 0.000514s : 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% : 0.000053s : 1: py_interpret_to_execute 0.00% : 0.000023s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 22.29% : 0.923950s : 2: renormalize.infer 0.25% : 0.010384s : 2: renormalize.specialize 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.001098s : 1: rewriter_after_opt_a 0.00% : 0.000132s : 1: rewriter_before_opt_a 0.00% : 0.000084s : 1: symbol_engine_optimizer 0.17% : 0.007128s : 1: task_emit 31.72% : 1.314671s : 1: type_inference 0.00% : 0.000125s : 1: validate . [hook] pytest_runtest_teardown:test_squeeze_vmap[64-pynative] tests/st/mint/test_squeeze.py::test_squeeze_vmap[64-pynative],max_mem:4.0M [WARNING] ME(165457:281473543872304,MainProcess):2026-01-29-17:42:29.944.119 [mindspore/graph/api.py:1147] The func .after_vmap at 0xfffee0088670> should be wrapped by jit only once. [WARNING] ME(165457:281473543872304,MainProcess):2026-01-29-17:42:29.946.434 [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 = 2.42865, [33] [bootstrap]: 0.00065004 [type_inference]: 0.898518 [event_method]: 0.00067307 [auto_monad]: 0.00021877 [graph_reusing]: 9.31e-06 [pre_auto_parallel]: 3.48e-06 [py_interpret_to_execute]: 8.746e-05 [rewriter_before_opt_a]: 0.00012758 [expand_dump_flag]: 4.58999e-06 [jit_opt_a]: 1.403, [3] [Cycle 1]: 1.38718, [27] [switch_simplify]: 8.415e-05 [loop_unroll]: 5.139e-05 [a_1]: 0.00110663 [with_stream_mark]: 3.093e-05 [recompute_prepare]: 1.94e-05 [updatestate_depend_eliminate]: 7.33999e-06 [updatestate_assign_eliminate]: 5.17999e-06 [updatestate_loads_eliminate]: 4.93001e-06 [parameter_eliminate]: 2.89999e-06 [specialize_transform]: 1.142e-05 [updatestate_useless_node_eliminater]: 1.099e-05 [accelerated_algorithm]: 1.118e-05 [meta_shard_fg_expand]: 3.51999e-06 [get_grad_eliminate_]: 1.031e-05 [merge_forward]: 6.31e-06 [cell_reuse_recompute_pass]: 1.11002e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.345e-05 [j_node_and_user_rematch]: 1.756e-05 [meta_fg_expand]: 0.359892, [1] [Cycle 1]: 0.3519, [1] [resolve]: 0.351859 [replace_old_param]: 0.00029525 [inline_without_move]: 0.00047552 [renormalize]: 0.83449 [add_forward_monad_depend]: 5.383e-05 [auto_monad_grad]: 0.00191651 [auto_monad_eliminator]: 0.00011873 [cse]: 0.00026973 [replace_applicator]: 0.00023728 [Cycle 2]: 0.0103907, [27] [switch_simplify]: 0.00024503 [loop_unroll]: 8.269e-05 [a_1]: 0.00206769 [with_stream_mark]: 3.266e-05 [recompute_prepare]: 2.446e-05 [updatestate_depend_eliminate]: 1.033e-05 [updatestate_assign_eliminate]: 7.63001e-06 [updatestate_loads_eliminate]: 6.72002e-06 [parameter_eliminate]: 3.28e-06 [specialize_transform]: 2.151e-05 [updatestate_useless_node_eliminater]: 1.441e-05 [accelerated_algorithm]: 6.192e-05 [meta_shard_fg_expand]: 6.91999e-06 [get_grad_eliminate_]: 1.436e-05 [merge_forward]: 8.89e-06 [cell_reuse_recompute_pass]: 1.34e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.021e-05 [j_node_and_user_rematch]: 2.392e-05 [meta_fg_expand]: 0.00027151 [replace_old_param]: 2.748e-05 [inline_without_move]: 1.99e-05 [renormalize]: 0.0070135 [add_forward_monad_depend]: 1.074e-05 [auto_monad_grad]: 4.35e-06 [auto_monad_eliminator]: 3.517e-05 [cse]: 7.096e-05 [replace_applicator]: 4.602e-05 [Cycle 3]: 0.00089653, [27] [switch_simplify]: 1.559e-05 [loop_unroll]: 1.475e-05 [a_1]: 0.00041926 [with_stream_mark]: 2.273e-05 [recompute_prepare]: 2.1e-05 [updatestate_depend_eliminate]: 9.74999e-06 [updatestate_assign_eliminate]: 7.03e-06 [updatestate_loads_eliminate]: 6.67002e-06 [parameter_eliminate]: 2.40002e-06 [specialize_transform]: 1.935e-05 [updatestate_useless_node_eliminater]: 1.413e-05 [accelerated_algorithm]: 1.986e-05 [meta_shard_fg_expand]: 4.18999e-06 [get_grad_eliminate_]: 1.389e-05 [merge_forward]: 7.84002e-06 [cell_reuse_recompute_pass]: 1.17e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.84e-05 [j_node_and_user_rematch]: 2.33e-05 [meta_fg_expand]: 7.11001e-06 [replace_old_param]: 1.924e-05 [inline_without_move]: 1.665e-05 [renormalize]: 6.00121e-08 [add_forward_monad_depend]: 1.94999e-06 [auto_monad_grad]: 1.87001e-06 [auto_monad_eliminator]: 1.58e-05 [cse]: 3.879e-05 [replace_applicator]: 1.766e-05 [py_interpret_to_execute_after_opt_a]: 2.167e-05 [rewriter_after_opt_a]: 0.00111536 [convert_after_rewriter]: 2.146e-05 [order_py_execute_after_rewriter]: 9.98002e-06 [mutable_eliminate]: 0.00087784 [jit_opt_b]: 0.0003683, [2] [Cycle 1]: 0.00031096, [2] [frontend_op_eliminate]: 4.872e-05 [inline_after_opt_a]: 0.00024502 [Cycle 2]: 4.262e-05, [2] [frontend_op_eliminate]: 1.689e-05 [inline_after_opt_a]: 1.422e-05 [cconv]: 2.868e-05 [loop_unroll]: 0.00053551 [jit_opt_after_cconv]: 0.00017797, [1] [Cycle 1]: 0.00017105, [11] [c_1]: 3.283e-05 [parameter_eliminate]: 4.72e-06 [updatestate_depend_eliminate]: 8.03001e-06 [updatestate_assign_eliminate]: 4.07e-06 [updatestate_loads_eliminate]: 2.27001e-06 [cse]: 2.576e-05 [call_graph_tuple_transform]: 2.276e-05 [tuple_list_get_item_eliminator]: 8.1e-06 [none_parameter_eliminate]: 1.82999e-06 [renormalize]: 6.39993e-07 [switch_simplify]: 6.68e-06 [remove_dup_value]: 1.727e-05 [partial_unused_args_eliminate]: 2.27999e-06 [environ_conv]: 8.65001e-06 [add_recomputation]: 5.215e-05 [cse_after_recomputation]: 2.558e-05, [1] [Cycle 1]: 1.996e-05, [1] [cse]: 1.37e-05 [auto_monad_reorder]: 1.683e-05 [get_jit_bprop_graph]: 2.89999e-06 [rewriter_after_jit_bprop_graph]: 5.23002e-06 [opt_after_jit_grad]: 0.00058235 [symbol_engine_optimizer]: 9.536e-05, [1] [Cycle 1]: 8.438e-05, [6] [build]: 4.45e-06 [elim_shapecalc]: 1.225e-05 [elim_not_effective]: 1.743e-05 [opt_reshape]: 7.05e-06 [fold_const_symbol]: 1.195e-05 [renormalize]: 3.50003e-07 [validate]: 5.246e-05 [backend_pass]: 1.15999e-06 [task_emit]: 0.120989 [execute]: 9.54999e-06 Sums bootstrap : 0.000650s : 0.03% type_inference : 0.898518s : 40.34% event_method : 0.000673s : 0.03% auto_monad : 0.000219s : 0.01% graph_reusing : 0.000009s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000087s : 0.00% rewriter_before_opt_a : 0.000128s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000345s : 0.02% jit_opt_a.loop_unroll : 0.000149s : 0.01% jit_opt_a.a_1 : 0.003594s : 0.16% jit_opt_a.with_stream_mark : 0.000086s : 0.00% jit_opt_a.recompute_prepare : 0.000065s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000027s : 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 : 0.000009s : 0.00% jit_opt_a.specialize_transform : 0.000052s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000040s : 0.00% jit_opt_a.accelerated_algorithm : 0.000093s : 0.00% 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 : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000082s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000065s : 0.00% jit_opt_a.meta_fg_expand : 0.000279s : 0.01% jit_opt_a.meta_fg_expand.resolve : 0.351859s : 15.80% jit_opt_a.replace_old_param : 0.000342s : 0.02% jit_opt_a.inline_without_move : 0.000512s : 0.02% jit_opt_a.renormalize : 0.841504s : 37.78% jit_opt_a.add_forward_monad_depend : 0.000067s : 0.00% jit_opt_a.auto_monad_grad : 0.001923s : 0.09% jit_opt_a.auto_monad_eliminator : 0.000170s : 0.01% jit_opt_a.cse : 0.000379s : 0.02% jit_opt_a.replace_applicator : 0.000301s : 0.01% py_interpret_to_execute_after_opt_a : 0.000022s : 0.00% rewriter_after_opt_a : 0.001115s : 0.05% convert_after_rewriter : 0.000021s : 0.00% order_py_execute_after_rewriter : 0.000010s : 0.00% mutable_eliminate : 0.000878s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000066s : 0.00% jit_opt_b.inline_after_opt_a : 0.000259s : 0.01% cconv : 0.000029s : 0.00% loop_unroll : 0.000536s : 0.02% jit_opt_after_cconv.c_1 : 0.000033s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.cse : 0.000026s : 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 : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000017s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000009s : 0.00% add_recomputation : 0.000052s : 0.00% cse_after_recomputation.cse : 0.000014s : 0.00% auto_monad_reorder : 0.000017s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000582s : 0.03% symbol_engine_optimizer.build : 0.000004s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000012s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000017s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000007s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000012s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000052s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.120989s : 5.43% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 0.266663 288 0.00% : 0.000003s : 1: substitution.depend_value_elim 0.00% : 0.000003s : 2: substitution.elim_not_effective 0.00% : 0.000001s : 2: substitution.fold_const_symbol 99.47% : 0.265259s : 64: substitution.getattr_setattr_resolve 0.00% : 0.000006s : 4: substitution.graph_param_transform 0.31% : 0.000834s : 34: substitution.inline 0.08% : 0.000207s : 30: substitution.inline_without_move 0.00% : 0.000011s : 21: substitution.j_node_and_user_rematch 0.02% : 0.000043s : 4: substitution.less_batch_normalization 0.00% : 0.000009s : 4: substitution.minmaximum_grad 0.00% : 0.000004s : 2: substitution.partial_eliminate 0.01% : 0.000017s : 21: substitution.remove_not_recompute_node 0.04% : 0.000098s : 29: substitution.replace_applicator 0.01% : 0.000025s : 37: substitution.replace_old_param 0.00% : 0.000007s : 1: substitution.reset_defer_inline 0.00% : 0.000011s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.01% : 0.000019s : 6: substitution.switch_simplify 0.01% : 0.000015s : 2: substitution.transpose_eliminate 0.01% : 0.000017s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000012s : 4: substitution.tuple_list_get_item_depend_reorder 0.02% : 0.000054s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.898398 2 99.57% : 0.894574s : 1: type_inference.infer 0.43% : 0.003824s : 1: type_inference.specialize ------[replace.] 0.001464 101 0.40% : 0.000006s : 1: replace.depend_value_elim 71.11% : 0.001041s : 55: replace.getattr_setattr_resolve 17.64% : 0.000258s : 32: replace.inline 7.06% : 0.000103s : 6: replace.switch_simplify 0.89% : 0.000013s : 2: replace.transpose_eliminate 2.90% : 0.000043s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.265822 101 0.00% : 0.000003s : 1: match.depend_value_elim 99.68% : 0.264960s : 55: match.getattr_setattr_resolve 0.30% : 0.000809s : 32: match.inline 0.01% : 0.000015s : 6: match.switch_simplify 0.01% : 0.000014s : 2: match.transpose_eliminate 0.01% : 0.000022s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000925 5242 1.07% : 0.000010s : 66: predicate.accumulaten_eliminater 0.25% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.91% : 0.000008s : 66: predicate.addn_check_dump 1.02% : 0.000009s : 66: predicate.addn_zero_filter 1.47% : 0.000014s : 66: predicate.arithmetic_simplify 1.14% : 0.000011s : 68: predicate.cast_eliminate 0.26% : 0.000002s : 16: predicate.check_bprop_eliminate 0.94% : 0.000009s : 66: predicate.compare_switch_simplify 1.02% : 0.000009s : 66: predicate.depend_value_elim 0.96% : 0.000009s : 68: predicate.dict_get_item_const_eliminator 1.03% : 0.000010s : 68: predicate.dict_get_item_eliminator 0.96% : 0.000009s : 68: predicate.dict_set_item_eliminator 0.16% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.07% : 0.000001s : 4: predicate.elim_not_effective 0.08% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 0.98% : 0.000009s : 68: predicate.environ_add_const_eliminate 0.93% : 0.000009s : 68: predicate.environ_get_add_eliminate 0.97% : 0.000009s : 68: predicate.environ_get_depend_swap 0.97% : 0.000009s : 68: predicate.environ_get_eliminate 0.98% : 0.000009s : 68: predicate.environ_get_set_eliminate 0.05% : 0.000000s : 4: predicate.fold_const_symbol 0.57% : 0.000005s : 33: predicate.get_grad_eliminate 23.15% : 0.000214s : 614: predicate.getattr_setattr_resolve 0.04% : 0.000000s : 4: predicate.graph_param_transform 3.21% : 0.000030s : 128: predicate.inline 5.46% : 0.000050s : 291: predicate.inline_without_move 0.26% : 0.000002s : 33: predicate.j_node_and_user_rematch 0.80% : 0.000007s : 33: predicate.less_batch_normalization 1.21% : 0.000011s : 71: predicate.list_to_tuple_eliminator_ 1.09% : 0.000010s : 75: predicate.load_eliminater 0.24% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.51% : 0.000023s : 165: predicate.loop_unroll_before_grad 1.12% : 0.000010s : 72: predicate.make_slice_get_slice_eliminator 0.95% : 0.000009s : 66: predicate.merge_addn 0.92% : 0.000008s : 66: predicate.minmaximum_grad 0.49% : 0.000004s : 12: predicate.mutable_eliminate 0.08% : 0.000001s : 4: predicate.opt_reshape 1.40% : 0.000013s : 75: predicate.partial_eliminate 0.92% : 0.000009s : 65: predicate.print_const_string_wrapper 1.57% : 0.000014s : 68: predicate.reduce_eliminate 1.07% : 0.000010s : 71: predicate.redundant_stop_gradient_eliminater 0.29% : 0.000003s : 33: predicate.remove_not_recompute_node 2.15% : 0.000020s : 197: predicate.replace_applicator 2.35% : 0.000022s : 291: predicate.replace_old_param 0.25% : 0.000002s : 24: predicate.reset_defer_inline 1.04% : 0.000010s : 68: predicate.reshape_eliminate 1.03% : 0.000010s : 65: predicate.row_tensor_add_zeros_like 0.34% : 0.000003s : 16: predicate.row_tensor_eliminate 1.03% : 0.000009s : 65: predicate.same_eliminate 0.36% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.44% : 0.000004s : 20: predicate.special_op_eliminate 0.58% : 0.000005s : 33: predicate.specialize_transform 1.20% : 0.000011s : 65: predicate.split_environ_get_set_with_tuple_value 0.93% : 0.000009s : 65: predicate.stack_unstack_eliminate 0.09% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.12% : 0.000020s : 102: predicate.switch_defer_inline 1.75% : 0.000016s : 102: predicate.switch_layer_defer_inline 6.67% : 0.000062s : 283: predicate.switch_simplify 1.02% : 0.000009s : 68: predicate.tile_eliminate 1.14% : 0.000010s : 68: predicate.transpose_eliminate 1.26% : 0.000012s : 68: predicate.tuple_list_convert_item_index_to_positive 1.21% : 0.000011s : 68: predicate.tuple_list_get_item_depend_reorder 2.48% : 0.000023s : 103: predicate.tuple_list_get_item_eliminator 1.34% : 0.000012s : 68: predicate.tuple_list_set_item_eliminator 1.08% : 0.000010s : 71: predicate.tuple_to_list_eliminator_ 1.07% : 0.000010s : 75: predicate.updatestate_pure_node_eliminater 1.83% : 0.000017s : 108: predicate.updatestate_useless_node_eliminater 1.25% : 0.000012s : 65: predicate.value_based_eliminate 0.06% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.35% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.103914 102 97.09% : 0.100890s : 62: func_graph_cloner_run.FuncGraphClonerGraph 2.91% : 0.003024s : 40: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.543716 103 0.00% : 0.000056s : 1: add_recomputation 0.01% : 0.000227s : 1: auto_monad 0.00% : 0.000020s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.02% : 0.000674s : 1: bootstrap 0.00% : 0.000032s : 1: cconv 0.00% : 0.000025s : 1: convert_after_rewriter 0.00% : 0.000028s : 1: cse_after_recomputation 0.00% : 0.000012s : 1: environ_conv 0.02% : 0.000683s : 1: event_method 0.00% : 0.000015s : 1: execute 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 39.59% : 1.403007s : 1: jit_opt_a 0.01% : 0.000182s : 1: jit_opt_after_cconv 0.01% : 0.000372s : 1: jit_opt_b 0.02% : 0.000546s : 1: loop_unroll 0.03% : 0.000888s : 1: mutable_eliminate 0.16% : 0.005614s : 39: opt.transform.jit_opt_a 0.00% : 0.000066s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000301s : 14: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000029s : 1: opt.transform.mutable_eliminate 0.00% : 0.000110s : 1: opt.transform.opt_after_jit_grad 7.55% : 0.267483s : 2: opt.transform.opt_resolve 0.00% : 0.000045s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000592s : 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% : 0.000092s : 1: py_interpret_to_execute 0.00% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 23.41% : 0.829530s : 2: renormalize.infer 0.34% : 0.011943s : 2: renormalize.specialize 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.001124s : 1: rewriter_after_opt_a 0.00% : 0.000131s : 1: rewriter_before_opt_a 0.00% : 0.000098s : 1: symbol_engine_optimizer 3.41% : 0.121009s : 1: task_emit 25.36% : 0.898542s : 1: type_inference 0.00% : 0.000123s : 1: validate . [hook] pytest_runtest_teardown:test_squeeze_vmap[64-KBK] tests/st/mint/test_squeeze.py::test_squeeze_vmap[64-KBK],max_mem:4.0M TotalTime = 2.27145, [33] [bootstrap]: 0.00081362 [type_inference]: 0.919784 [event_method]: 0.00084871 [auto_monad]: 0.00013118 [graph_reusing]: 8.82e-06 [pre_auto_parallel]: 3.91001e-06 [py_interpret_to_execute]: 4.613e-05 [rewriter_before_opt_a]: 0.0001343 [expand_dump_flag]: 4.29002e-06 [jit_opt_a]: 1.21442, [3] [Cycle 1]: 1.19648, [27] [switch_simplify]: 8.483e-05 [loop_unroll]: 5.146e-05 [a_1]: 0.188708 [with_stream_mark]: 5.801e-05 [recompute_prepare]: 3.844e-05 [updatestate_depend_eliminate]: 7.31001e-06 [updatestate_assign_eliminate]: 5.42001e-06 [updatestate_loads_eliminate]: 1.903e-05 [parameter_eliminate]: 3.51999e-06 [specialize_transform]: 1.249e-05 [updatestate_useless_node_eliminater]: 1.577e-05 [accelerated_algorithm]: 1.246e-05 [meta_shard_fg_expand]: 4.43001e-06 [get_grad_eliminate_]: 1.217e-05 [merge_forward]: 6.63e-06 [cell_reuse_recompute_pass]: 1.00999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.4e-05 [j_node_and_user_rematch]: 1.824e-05 [meta_fg_expand]: 0.35305, [1] [Cycle 1]: 0.344674, [1] [resolve]: 0.344632 [replace_old_param]: 0.00028824 [inline_without_move]: 0.00047622 [renormalize]: 0.650925 [add_forward_monad_depend]: 2.818e-05 [auto_monad_grad]: 0.00165081 [auto_monad_eliminator]: 0.00011571 [cse]: 0.00026122 [replace_applicator]: 0.00022319 [Cycle 2]: 0.0124449, [27] [switch_simplify]: 0.00023123 [loop_unroll]: 8.587e-05 [a_1]: 0.00326327 [with_stream_mark]: 5e-05 [recompute_prepare]: 3.168e-05 [updatestate_depend_eliminate]: 1.016e-05 [updatestate_assign_eliminate]: 8.03999e-06 [updatestate_loads_eliminate]: 7.1e-06 [parameter_eliminate]: 4.74e-06 [specialize_transform]: 2.187e-05 [updatestate_useless_node_eliminater]: 1.484e-05 [accelerated_algorithm]: 6.389e-05 [meta_shard_fg_expand]: 1.063e-05 [get_grad_eliminate_]: 1.483e-05 [merge_forward]: 8.88002e-06 [cell_reuse_recompute_pass]: 1.17999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.001e-05 [j_node_and_user_rematch]: 2.302e-05 [meta_fg_expand]: 0.00025691 [replace_old_param]: 2.719e-05 [inline_without_move]: 2.038e-05 [renormalize]: 0.0078474 [add_forward_monad_depend]: 1.175e-05 [auto_monad_grad]: 4.89e-06 [auto_monad_eliminator]: 3.118e-05 [cse]: 6.776e-05 [replace_applicator]: 4.218e-05 [Cycle 3]: 0.00089363, [27] [switch_simplify]: 1.648e-05 [loop_unroll]: 1.477e-05 [a_1]: 0.00042192 [with_stream_mark]: 2.217e-05 [recompute_prepare]: 2.011e-05 [updatestate_depend_eliminate]: 9.43997e-06 [updatestate_assign_eliminate]: 6.64001e-06 [updatestate_loads_eliminate]: 6.38e-06 [parameter_eliminate]: 2.43e-06 [specialize_transform]: 1.926e-05 [updatestate_useless_node_eliminater]: 1.399e-05 [accelerated_algorithm]: 2.04e-05 [meta_shard_fg_expand]: 3.9e-06 [get_grad_eliminate_]: 1.377e-05 [merge_forward]: 8.19002e-06 [cell_reuse_recompute_pass]: 1.15001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.885e-05 [j_node_and_user_rematch]: 2.259e-05 [meta_fg_expand]: 6.33e-06 [replace_old_param]: 1.824e-05 [inline_without_move]: 1.67e-05 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 1.82001e-06 [auto_monad_grad]: 1.92001e-06 [auto_monad_eliminator]: 1.464e-05 [cse]: 3.679e-05 [replace_applicator]: 1.718e-05 [py_interpret_to_execute_after_opt_a]: 2.219e-05 [rewriter_after_opt_a]: 0.124218 [convert_after_rewriter]: 4.236e-05 [order_py_execute_after_rewriter]: 1.142e-05 [mutable_eliminate]: 0.0008802 [jit_opt_b]: 0.000413, [2] [Cycle 1]: 0.00035576, [2] [frontend_op_eliminate]: 4.982e-05 [inline_after_opt_a]: 0.00028901 [Cycle 2]: 4.183e-05, [2] [frontend_op_eliminate]: 1.67e-05 [inline_after_opt_a]: 1.368e-05 [cconv]: 3.174e-05 [loop_unroll]: 0.00058299 [jit_opt_after_cconv]: 0.00019712, [1] [Cycle 1]: 0.00019046, [11] [c_1]: 3.073e-05 [parameter_eliminate]: 7.28e-06 [updatestate_depend_eliminate]: 8.28001e-06 [updatestate_assign_eliminate]: 4.94998e-06 [updatestate_loads_eliminate]: 2.96001e-06 [cse]: 4.144e-05 [call_graph_tuple_transform]: 2.343e-05 [tuple_list_get_item_eliminator]: 7.63999e-06 [none_parameter_eliminate]: 1.84e-06 [renormalize]: 9.09989e-07 [switch_simplify]: 7.76001e-06 [remove_dup_value]: 1.929e-05 [partial_unused_args_eliminate]: 2.17999e-06 [environ_conv]: 9.51e-06 [add_recomputation]: 5.597e-05 [cse_after_recomputation]: 2.565e-05, [1] [Cycle 1]: 1.971e-05, [1] [cse]: 1.37e-05 [auto_monad_reorder]: 1.592e-05 [get_jit_bprop_graph]: 3.24001e-06 [rewriter_after_jit_bprop_graph]: 7.82e-06 [opt_after_jit_grad]: 0.00052467 [symbol_engine_optimizer]: 8.868e-05, [1] [Cycle 1]: 8.06e-05, [6] [build]: 4.84e-06 [elim_shapecalc]: 1.174e-05 [elim_not_effective]: 1.583e-05 [opt_reshape]: 6.86001e-06 [fold_const_symbol]: 1.083e-05 [renormalize]: 4.30009e-07 [validate]: 5.469e-05 [backend_pass]: 1.32e-06 [task_emit]: 0.00762374 [execute]: 8.17998e-06 Sums bootstrap : 0.000814s : 0.04% type_inference : 0.919784s : 40.75% event_method : 0.000849s : 0.04% auto_monad : 0.000131s : 0.01% graph_reusing : 0.000009s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000046s : 0.00% rewriter_before_opt_a : 0.000134s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000333s : 0.01% jit_opt_a.loop_unroll : 0.000152s : 0.01% jit_opt_a.a_1 : 0.192393s : 8.52% jit_opt_a.with_stream_mark : 0.000130s : 0.01% jit_opt_a.recompute_prepare : 0.000090s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000027s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000020s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000033s : 0.00% jit_opt_a.parameter_eliminate : 0.000011s : 0.00% jit_opt_a.specialize_transform : 0.000054s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000045s : 0.00% jit_opt_a.accelerated_algorithm : 0.000097s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000019s : 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 : 0.000003s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000083s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000064s : 0.00% jit_opt_a.meta_fg_expand : 0.000263s : 0.01% jit_opt_a.meta_fg_expand.resolve : 0.344632s : 15.27% jit_opt_a.replace_old_param : 0.000334s : 0.01% jit_opt_a.inline_without_move : 0.000513s : 0.02% jit_opt_a.renormalize : 0.658773s : 29.19% jit_opt_a.add_forward_monad_depend : 0.000042s : 0.00% jit_opt_a.auto_monad_grad : 0.001658s : 0.07% jit_opt_a.auto_monad_eliminator : 0.000162s : 0.01% jit_opt_a.cse : 0.000366s : 0.02% jit_opt_a.replace_applicator : 0.000283s : 0.01% py_interpret_to_execute_after_opt_a : 0.000022s : 0.00% rewriter_after_opt_a : 0.124218s : 5.50% convert_after_rewriter : 0.000042s : 0.00% order_py_execute_after_rewriter : 0.000011s : 0.00% mutable_eliminate : 0.000880s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000067s : 0.00% jit_opt_b.inline_after_opt_a : 0.000303s : 0.01% cconv : 0.000032s : 0.00% loop_unroll : 0.000583s : 0.03% jit_opt_after_cconv.c_1 : 0.000031s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000008s : 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 : 0.000041s : 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 : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000008s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000010s : 0.00% add_recomputation : 0.000056s : 0.00% cse_after_recomputation.cse : 0.000014s : 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 : 0.000525s : 0.02% 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 : 0.000007s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000055s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.007624s : 0.34% execute : 0.000008s : 0.00% Time group info: ------[substitution.] 0.531070 288 0.00% : 0.000004s : 1: substitution.depend_value_elim 0.00% : 0.000003s : 2: substitution.elim_not_effective 0.00% : 0.000001s : 2: substitution.fold_const_symbol 64.43% : 0.342168s : 64: substitution.getattr_setattr_resolve 0.00% : 0.000007s : 4: substitution.graph_param_transform 35.46% : 0.188313s : 34: substitution.inline 0.04% : 0.000210s : 30: 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% : 0.000004s : 2: substitution.partial_eliminate 0.00% : 0.000016s : 21: substitution.remove_not_recompute_node 0.02% : 0.000093s : 29: substitution.replace_applicator 0.00% : 0.000025s : 37: substitution.replace_old_param 0.00% : 0.000008s : 1: substitution.reset_defer_inline 0.00% : 0.000013s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.00% : 0.000020s : 6: substitution.switch_simplify 0.00% : 0.000016s : 2: substitution.transpose_eliminate 0.00% : 0.000020s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000013s : 4: substitution.tuple_list_get_item_depend_reorder 0.01% : 0.000063s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.919652 2 99.60% : 0.915929s : 1: type_inference.infer 0.40% : 0.003722s : 1: type_inference.specialize ------[replace.] 0.001505 101 0.41% : 0.000006s : 1: replace.depend_value_elim 71.00% : 0.001068s : 55: replace.getattr_setattr_resolve 18.66% : 0.000281s : 32: replace.inline 6.10% : 0.000092s : 6: replace.switch_simplify 0.78% : 0.000012s : 2: replace.transpose_eliminate 3.05% : 0.000046s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.530190 101 0.00% : 0.000003s : 1: match.depend_value_elim 64.48% : 0.341854s : 55: match.getattr_setattr_resolve 35.51% : 0.188281s : 32: match.inline 0.00% : 0.000015s : 6: match.switch_simplify 0.00% : 0.000014s : 2: match.transpose_eliminate 0.00% : 0.000023s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000945 5242 0.98% : 0.000009s : 66: predicate.accumulaten_eliminater 0.17% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.95% : 0.000009s : 66: predicate.addn_check_dump 1.08% : 0.000010s : 66: predicate.addn_zero_filter 1.61% : 0.000015s : 66: predicate.arithmetic_simplify 1.13% : 0.000011s : 68: predicate.cast_eliminate 0.30% : 0.000003s : 16: predicate.check_bprop_eliminate 0.93% : 0.000009s : 66: predicate.compare_switch_simplify 1.03% : 0.000010s : 66: predicate.depend_value_elim 1.03% : 0.000010s : 68: predicate.dict_get_item_const_eliminator 1.31% : 0.000012s : 68: predicate.dict_get_item_eliminator 1.14% : 0.000011s : 68: predicate.dict_set_item_eliminator 0.13% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.07% : 0.000001s : 4: predicate.elim_not_effective 0.14% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 0.99% : 0.000009s : 68: predicate.environ_add_const_eliminate 1.00% : 0.000009s : 68: predicate.environ_get_add_eliminate 0.98% : 0.000009s : 68: predicate.environ_get_depend_swap 1.06% : 0.000010s : 68: predicate.environ_get_eliminate 0.95% : 0.000009s : 68: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 4: predicate.fold_const_symbol 0.57% : 0.000005s : 33: predicate.get_grad_eliminate 23.22% : 0.000219s : 614: predicate.getattr_setattr_resolve 0.04% : 0.000000s : 4: predicate.graph_param_transform 3.56% : 0.000034s : 128: predicate.inline 5.03% : 0.000048s : 291: predicate.inline_without_move 0.26% : 0.000002s : 33: predicate.j_node_and_user_rematch 0.81% : 0.000008s : 33: predicate.less_batch_normalization 1.12% : 0.000011s : 71: predicate.list_to_tuple_eliminator_ 1.14% : 0.000011s : 75: predicate.load_eliminater 0.23% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.50% : 0.000024s : 165: predicate.loop_unroll_before_grad 1.15% : 0.000011s : 72: predicate.make_slice_get_slice_eliminator 0.93% : 0.000009s : 66: predicate.merge_addn 0.96% : 0.000009s : 66: predicate.minmaximum_grad 0.57% : 0.000005s : 12: predicate.mutable_eliminate 0.07% : 0.000001s : 4: predicate.opt_reshape 1.42% : 0.000013s : 75: predicate.partial_eliminate 0.99% : 0.000009s : 65: predicate.print_const_string_wrapper 1.35% : 0.000013s : 68: predicate.reduce_eliminate 1.05% : 0.000010s : 71: predicate.redundant_stop_gradient_eliminater 0.32% : 0.000003s : 33: predicate.remove_not_recompute_node 2.13% : 0.000020s : 197: predicate.replace_applicator 2.29% : 0.000022s : 291: predicate.replace_old_param 0.29% : 0.000003s : 24: predicate.reset_defer_inline 1.00% : 0.000009s : 68: predicate.reshape_eliminate 1.04% : 0.000010s : 65: predicate.row_tensor_add_zeros_like 0.38% : 0.000004s : 16: predicate.row_tensor_eliminate 1.04% : 0.000010s : 65: predicate.same_eliminate 0.37% : 0.000004s : 33: predicate.set_cell_output_no_recompute 0.35% : 0.000003s : 20: predicate.special_op_eliminate 0.59% : 0.000006s : 33: predicate.specialize_transform 1.19% : 0.000011s : 65: predicate.split_environ_get_set_with_tuple_value 1.09% : 0.000010s : 65: predicate.stack_unstack_eliminate 0.08% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.49% : 0.000024s : 102: predicate.switch_defer_inline 1.77% : 0.000017s : 102: predicate.switch_layer_defer_inline 4.82% : 0.000046s : 283: predicate.switch_simplify 1.09% : 0.000010s : 68: predicate.tile_eliminate 1.09% : 0.000010s : 68: predicate.transpose_eliminate 1.61% : 0.000015s : 68: predicate.tuple_list_convert_item_index_to_positive 1.24% : 0.000012s : 68: predicate.tuple_list_get_item_depend_reorder 2.63% : 0.000025s : 103: predicate.tuple_list_get_item_eliminator 1.32% : 0.000013s : 68: predicate.tuple_list_set_item_eliminator 1.17% : 0.000011s : 71: predicate.tuple_to_list_eliminator_ 1.06% : 0.000010s : 75: predicate.updatestate_pure_node_eliminater 1.79% : 0.000017s : 108: predicate.updatestate_useless_node_eliminater 1.36% : 0.000013s : 65: predicate.value_based_eliminate 0.06% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.34% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.010851 102 71.11% : 0.007716s : 62: func_graph_cloner_run.FuncGraphClonerGraph 28.89% : 0.003135s : 40: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.469431 103 0.00% : 0.000059s : 1: add_recomputation 0.00% : 0.000138s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.02% : 0.000846s : 1: bootstrap 0.00% : 0.000034s : 1: cconv 0.00% : 0.000048s : 1: convert_after_rewriter 0.00% : 0.000028s : 1: cse_after_recomputation 0.00% : 0.000013s : 1: environ_conv 0.02% : 0.000861s : 1: event_method 0.00% : 0.000012s : 1: execute 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000012s : 1: graph_reusing 35.00% : 1.214420s : 1: jit_opt_a 0.01% : 0.000202s : 1: jit_opt_after_cconv 0.01% : 0.000417s : 1: jit_opt_b 0.02% : 0.000593s : 1: loop_unroll 0.03% : 0.000892s : 1: mutable_eliminate 5.60% : 0.194394s : 39: opt.transform.jit_opt_a 0.00% : 0.000065s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000340s : 14: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000039s : 1: opt.transform.mutable_eliminate 0.00% : 0.000029s : 1: opt.transform.opt_after_jit_grad 9.93% : 0.344433s : 2: opt.transform.opt_resolve 0.00% : 0.000042s : 4: opt.transform.symbol_engine_opt 0.02% : 0.000533s : 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% : 0.000049s : 1: py_interpret_to_execute 0.00% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 14.93% : 0.517970s : 2: renormalize.infer 4.06% : 0.140769s : 2: renormalize.specialize 0.00% : 0.000010s : 1: rewriter_after_jit_bprop_graph 3.58% : 0.124235s : 1: rewriter_after_opt_a 0.00% : 0.000140s : 1: rewriter_before_opt_a 0.00% : 0.000092s : 1: symbol_engine_optimizer 0.22% : 0.007637s : 1: task_emit 26.51% : 0.919808s : 1: type_inference 0.00% : 0.000148s : 1: validate . [hook] pytest_runtest_teardown:test_squeeze_vmap[128-pynative] tests/st/mint/test_squeeze.py::test_squeeze_vmap[128-pynative],max_mem:4.0M [WARNING] ME(165457:281473543872304,MainProcess):2026-01-29-17:42:36.543.712 [mindspore/graph/api.py:1147] The func .after_vmap at 0xfffee007e790> should be wrapped by jit only once. [WARNING] ME(165457:281473543872304,MainProcess):2026-01-29-17:42:36.545.059 [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 = 2.25506, [33] [bootstrap]: 0.00063779 [type_inference]: 0.774706 [event_method]: 0.00115265 [auto_monad]: 0.00013701 [graph_reusing]: 9.37999e-06 [pre_auto_parallel]: 4.18001e-06 [py_interpret_to_execute]: 4.838e-05 [rewriter_before_opt_a]: 0.00014027 [expand_dump_flag]: 4.52e-06 [jit_opt_a]: 1.39135, [3] [Cycle 1]: 1.29215, [27] [switch_simplify]: 8.013e-05 [loop_unroll]: 5.132e-05 [a_1]: 0.0012935 [with_stream_mark]: 3.344e-05 [recompute_prepare]: 1.99e-05 [updatestate_depend_eliminate]: 6.64001e-06 [updatestate_assign_eliminate]: 5.61998e-06 [updatestate_loads_eliminate]: 5.44e-06 [parameter_eliminate]: 3.18998e-06 [specialize_transform]: 1.178e-05 [updatestate_useless_node_eliminater]: 1.049e-05 [accelerated_algorithm]: 1.106e-05 [meta_shard_fg_expand]: 3.76001e-06 [get_grad_eliminate_]: 1.075e-05 [merge_forward]: 6.01e-06 [cell_reuse_recompute_pass]: 9.20001e-07 [cell_reuse_handle_not_recompute_node_pass]: 2.419e-05 [j_node_and_user_rematch]: 1.771e-05 [meta_fg_expand]: 0.438298, [1] [Cycle 1]: 0.430585, [1] [resolve]: 0.430545 [replace_old_param]: 0.00028677 [inline_without_move]: 0.00047564 [renormalize]: 0.849178 [add_forward_monad_depend]: 2.633e-05 [auto_monad_grad]: 0.00143232 [auto_monad_eliminator]: 0.00010649 [cse]: 0.00024623 [replace_applicator]: 0.00020601 [Cycle 2]: 0.0939536, [27] [switch_simplify]: 0.00021945 [loop_unroll]: 8.863e-05 [a_1]: 0.0857177 [with_stream_mark]: 4.847e-05 [recompute_prepare]: 2.746e-05 [updatestate_depend_eliminate]: 1.838e-05 [updatestate_assign_eliminate]: 8.12e-06 [updatestate_loads_eliminate]: 7.1e-06 [parameter_eliminate]: 4.32e-06 [specialize_transform]: 2.215e-05 [updatestate_useless_node_eliminater]: 1.473e-05 [accelerated_algorithm]: 7.072e-05 [meta_shard_fg_expand]: 9.72999e-06 [get_grad_eliminate_]: 1.402e-05 [merge_forward]: 7.93999e-06 [cell_reuse_recompute_pass]: 1.12999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.994e-05 [j_node_and_user_rematch]: 2.371e-05 [meta_fg_expand]: 0.0002984 [replace_old_param]: 2.871e-05 [inline_without_move]: 2.047e-05 [renormalize]: 0.00686544 [add_forward_monad_depend]: 1.041e-05 [auto_monad_grad]: 4.27998e-06 [auto_monad_eliminator]: 3.147e-05 [cse]: 6.831e-05 [replace_applicator]: 3.887e-05 [Cycle 3]: 0.00087522, [27] [switch_simplify]: 1.57e-05 [loop_unroll]: 1.495e-05 [a_1]: 0.00041157 [with_stream_mark]: 1.881e-05 [recompute_prepare]: 1.98e-05 [updatestate_depend_eliminate]: 9.41e-06 [updatestate_assign_eliminate]: 6.64001e-06 [updatestate_loads_eliminate]: 6.58e-06 [parameter_eliminate]: 2.64001e-06 [specialize_transform]: 1.931e-05 [updatestate_useless_node_eliminater]: 1.442e-05 [accelerated_algorithm]: 2.036e-05 [meta_shard_fg_expand]: 3.51001e-06 [get_grad_eliminate_]: 1.359e-05 [merge_forward]: 8.63001e-06 [cell_reuse_recompute_pass]: 1.02e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.76e-05 [j_node_and_user_rematch]: 2.286e-05 [meta_fg_expand]: 5.65001e-06 [replace_old_param]: 1.846e-05 [inline_without_move]: 1.707e-05 [renormalize]: 1.19995e-07 [add_forward_monad_depend]: 1.69998e-06 [auto_monad_grad]: 1.45999e-06 [auto_monad_eliminator]: 1.468e-05 [cse]: 3.575e-05 [replace_applicator]: 1.725e-05 [py_interpret_to_execute_after_opt_a]: 2.037e-05 [rewriter_after_opt_a]: 0.00101948 [convert_after_rewriter]: 2.123e-05 [order_py_execute_after_rewriter]: 1.097e-05 [mutable_eliminate]: 0.00078299 [jit_opt_b]: 0.00035202, [2] [Cycle 1]: 0.00029399, [2] [frontend_op_eliminate]: 4.695e-05 [inline_after_opt_a]: 0.00022994 [Cycle 2]: 4.492e-05, [2] [frontend_op_eliminate]: 1.827e-05 [inline_after_opt_a]: 1.485e-05 [cconv]: 2.56e-05 [loop_unroll]: 0.00047195 [jit_opt_after_cconv]: 0.00017091, [1] [Cycle 1]: 0.00016451, [11] [c_1]: 2.925e-05 [parameter_eliminate]: 4.00998e-06 [updatestate_depend_eliminate]: 6.38e-06 [updatestate_assign_eliminate]: 3.58e-06 [updatestate_loads_eliminate]: 2.48998e-06 [cse]: 2.3e-05 [call_graph_tuple_transform]: 2.307e-05 [tuple_list_get_item_eliminator]: 7.89997e-06 [none_parameter_eliminate]: 1.57001e-06 [renormalize]: 6.89994e-07 [switch_simplify]: 7.58001e-06 [remove_dup_value]: 1.784e-05 [partial_unused_args_eliminate]: 2.78e-06 [environ_conv]: 8.90999e-06 [add_recomputation]: 9.368e-05 [cse_after_recomputation]: 2.628e-05, [1] [Cycle 1]: 2.038e-05, [1] [cse]: 1.429e-05 [auto_monad_reorder]: 1.677e-05 [get_jit_bprop_graph]: 2.84001e-06 [rewriter_after_jit_bprop_graph]: 4.94003e-06 [opt_after_jit_grad]: 0.00048075 [symbol_engine_optimizer]: 8.395e-05, [1] [Cycle 1]: 7.652e-05, [6] [build]: 3.95e-06 [elim_shapecalc]: 1.043e-05 [elim_not_effective]: 1.52e-05 [opt_reshape]: 6.78e-06 [fold_const_symbol]: 1.086e-05 [renormalize]: 3.09985e-07 [validate]: 4.611e-05 [backend_pass]: 1.19e-06 [task_emit]: 0.0828404 [execute]: 1.012e-05 Sums bootstrap : 0.000638s : 0.03% type_inference : 0.774706s : 34.56% event_method : 0.001153s : 0.05% auto_monad : 0.000137s : 0.01% graph_reusing : 0.000009s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000048s : 0.00% rewriter_before_opt_a : 0.000140s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000315s : 0.01% jit_opt_a.loop_unroll : 0.000155s : 0.01% jit_opt_a.a_1 : 0.087423s : 3.90% jit_opt_a.with_stream_mark : 0.000101s : 0.00% jit_opt_a.recompute_prepare : 0.000067s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000034s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000020s : 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 : 0.000053s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000040s : 0.00% jit_opt_a.accelerated_algorithm : 0.000102s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000017s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000038s : 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 : 0.000082s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000064s : 0.00% jit_opt_a.meta_fg_expand : 0.000304s : 0.01% jit_opt_a.meta_fg_expand.resolve : 0.430545s : 19.21% jit_opt_a.replace_old_param : 0.000334s : 0.01% jit_opt_a.inline_without_move : 0.000513s : 0.02% jit_opt_a.renormalize : 0.856044s : 38.19% jit_opt_a.add_forward_monad_depend : 0.000038s : 0.00% jit_opt_a.auto_monad_grad : 0.001438s : 0.06% jit_opt_a.auto_monad_eliminator : 0.000153s : 0.01% jit_opt_a.cse : 0.000350s : 0.02% jit_opt_a.replace_applicator : 0.000262s : 0.01% py_interpret_to_execute_after_opt_a : 0.000020s : 0.00% rewriter_after_opt_a : 0.001019s : 0.05% convert_after_rewriter : 0.000021s : 0.00% order_py_execute_after_rewriter : 0.000011s : 0.00% mutable_eliminate : 0.000783s : 0.03% jit_opt_b.frontend_op_eliminate : 0.000065s : 0.00% jit_opt_b.inline_after_opt_a : 0.000245s : 0.01% cconv : 0.000026s : 0.00% loop_unroll : 0.000472s : 0.02% jit_opt_after_cconv.c_1 : 0.000029s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.cse : 0.000023s : 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 : 0.000002s : 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 : 0.000003s : 0.00% environ_conv : 0.000009s : 0.00% add_recomputation : 0.000094s : 0.00% cse_after_recomputation.cse : 0.000014s : 0.00% auto_monad_reorder : 0.000017s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000481s : 0.02% 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 : 0.000007s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000046s : 0.00% backend_pass : 0.000001s : 0.00% task_emit : 0.082840s : 3.70% execute : 0.000010s : 0.00% Time group info: ------[substitution.] 0.512730 288 0.00% : 0.000004s : 1: substitution.depend_value_elim 0.00% : 0.000003s : 2: substitution.elim_not_effective 0.00% : 0.000002s : 2: substitution.fold_const_symbol 83.42% : 0.427734s : 64: substitution.getattr_setattr_resolve 0.00% : 0.000006s : 4: substitution.graph_param_transform 16.47% : 0.084426s : 34: substitution.inline 0.04% : 0.000207s : 30: substitution.inline_without_move 0.00% : 0.000011s : 21: substitution.j_node_and_user_rematch 0.01% : 0.000052s : 4: substitution.less_batch_normalization 0.00% : 0.000009s : 4: substitution.minmaximum_grad 0.00% : 0.000003s : 2: substitution.partial_eliminate 0.00% : 0.000015s : 21: substitution.remove_not_recompute_node 0.02% : 0.000087s : 29: substitution.replace_applicator 0.00% : 0.000025s : 37: substitution.replace_old_param 0.00% : 0.000005s : 1: substitution.reset_defer_inline 0.00% : 0.000010s : 3: substitution.set_cell_output_no_recompute 0.00% : 0.000007s : 2: substitution.specialize_transform 0.00% : 0.000017s : 6: substitution.switch_simplify 0.00% : 0.000022s : 2: substitution.transpose_eliminate 0.00% : 0.000020s : 4: substitution.tuple_list_convert_item_index_to_positive 0.00% : 0.000012s : 4: substitution.tuple_list_get_item_depend_reorder 0.01% : 0.000052s : 11: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.774515 2 77.68% : 0.601635s : 1: type_inference.infer 22.32% : 0.172880s : 1: type_inference.specialize ------[replace.] 0.001631 101 0.38% : 0.000006s : 1: replace.depend_value_elim 71.73% : 0.001170s : 55: replace.getattr_setattr_resolve 19.17% : 0.000313s : 32: replace.inline 5.22% : 0.000085s : 6: replace.switch_simplify 0.63% : 0.000010s : 2: replace.transpose_eliminate 2.87% : 0.000047s : 5: replace.tuple_list_get_item_eliminator ------[match.] 0.511856 101 0.00% : 0.000003s : 1: match.depend_value_elim 83.50% : 0.427404s : 55: match.getattr_setattr_resolve 16.49% : 0.084395s : 32: match.inline 0.00% : 0.000013s : 6: match.switch_simplify 0.00% : 0.000019s : 2: match.transpose_eliminate 0.00% : 0.000022s : 5: match.tuple_list_get_item_eliminator ------[predicate.] 0.000955 5242 1.04% : 0.000010s : 66: predicate.accumulaten_eliminater 0.21% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 0.92% : 0.000009s : 66: predicate.addn_check_dump 1.02% : 0.000010s : 66: predicate.addn_zero_filter 1.74% : 0.000017s : 66: predicate.arithmetic_simplify 1.05% : 0.000010s : 68: predicate.cast_eliminate 0.26% : 0.000002s : 16: predicate.check_bprop_eliminate 0.90% : 0.000009s : 66: predicate.compare_switch_simplify 0.98% : 0.000009s : 66: predicate.depend_value_elim 0.96% : 0.000009s : 68: predicate.dict_get_item_const_eliminator 1.03% : 0.000010s : 68: predicate.dict_get_item_eliminator 0.98% : 0.000009s : 68: predicate.dict_set_item_eliminator 0.13% : 0.000001s : 4: predicate.dumpgradient_eliminate 0.05% : 0.000001s : 4: predicate.elim_not_effective 0.10% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.01% : 0.000010s : 68: predicate.environ_add_const_eliminate 2.29% : 0.000022s : 68: predicate.environ_get_add_eliminate 0.92% : 0.000009s : 68: predicate.environ_get_depend_swap 1.10% : 0.000010s : 68: predicate.environ_get_eliminate 0.96% : 0.000009s : 68: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 4: predicate.fold_const_symbol 0.55% : 0.000005s : 33: predicate.get_grad_eliminate 24.71% : 0.000236s : 614: predicate.getattr_setattr_resolve 0.04% : 0.000000s : 4: predicate.graph_param_transform 3.32% : 0.000032s : 128: predicate.inline 5.05% : 0.000048s : 291: predicate.inline_without_move 0.25% : 0.000002s : 33: predicate.j_node_and_user_rematch 0.76% : 0.000007s : 33: predicate.less_batch_normalization 1.14% : 0.000011s : 71: predicate.list_to_tuple_eliminator_ 1.13% : 0.000011s : 75: predicate.load_eliminater 0.19% : 0.000002s : 4: predicate.loop_unroll_after_grad 2.56% : 0.000024s : 165: predicate.loop_unroll_before_grad 1.13% : 0.000011s : 72: predicate.make_slice_get_slice_eliminator 0.90% : 0.000009s : 66: predicate.merge_addn 0.90% : 0.000009s : 66: predicate.minmaximum_grad 0.47% : 0.000005s : 12: predicate.mutable_eliminate 0.07% : 0.000001s : 4: predicate.opt_reshape 1.36% : 0.000013s : 75: predicate.partial_eliminate 0.92% : 0.000009s : 65: predicate.print_const_string_wrapper 1.33% : 0.000013s : 68: predicate.reduce_eliminate 1.07% : 0.000010s : 71: predicate.redundant_stop_gradient_eliminater 0.29% : 0.000003s : 33: predicate.remove_not_recompute_node 2.13% : 0.000020s : 197: predicate.replace_applicator 2.30% : 0.000022s : 291: predicate.replace_old_param 0.26% : 0.000002s : 24: predicate.reset_defer_inline 1.07% : 0.000010s : 68: predicate.reshape_eliminate 1.01% : 0.000010s : 65: predicate.row_tensor_add_zeros_like 0.36% : 0.000003s : 16: predicate.row_tensor_eliminate 0.93% : 0.000009s : 65: predicate.same_eliminate 0.33% : 0.000003s : 33: predicate.set_cell_output_no_recompute 0.34% : 0.000003s : 20: predicate.special_op_eliminate 0.55% : 0.000005s : 33: predicate.specialize_transform 1.13% : 0.000011s : 65: predicate.split_environ_get_set_with_tuple_value 0.99% : 0.000009s : 65: predicate.stack_unstack_eliminate 0.11% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.39% : 0.000023s : 102: predicate.switch_defer_inline 1.75% : 0.000017s : 102: predicate.switch_layer_defer_inline 4.77% : 0.000046s : 283: predicate.switch_simplify 1.03% : 0.000010s : 68: predicate.tile_eliminate 1.16% : 0.000011s : 68: predicate.transpose_eliminate 1.21% : 0.000012s : 68: predicate.tuple_list_convert_item_index_to_positive 1.10% : 0.000011s : 68: predicate.tuple_list_get_item_depend_reorder 2.45% : 0.000023s : 103: predicate.tuple_list_get_item_eliminator 1.23% : 0.000012s : 68: predicate.tuple_list_set_item_eliminator 1.12% : 0.000011s : 71: predicate.tuple_to_list_eliminator_ 1.06% : 0.000010s : 75: predicate.updatestate_pure_node_eliminater 1.79% : 0.000017s : 108: predicate.updatestate_useless_node_eliminater 1.23% : 0.000012s : 65: predicate.value_based_eliminate 0.06% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.34% : 0.000003s : 16: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.193020 102 98.31% : 0.189756s : 62: func_graph_cloner_run.FuncGraphClonerGraph 1.69% : 0.003264s : 40: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 3.631166 103 0.00% : 0.000097s : 1: add_recomputation 0.00% : 0.000142s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.00% : 0.000005s : 1: backend_pass 0.02% : 0.000690s : 1: bootstrap 0.00% : 0.000028s : 1: cconv 0.00% : 0.000025s : 1: convert_after_rewriter 0.00% : 0.000029s : 1: cse_after_recomputation 0.00% : 0.000012s : 1: environ_conv 0.03% : 0.001166s : 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% : 0.000012s : 1: graph_reusing 38.32% : 1.391355s : 1: jit_opt_a 0.00% : 0.000175s : 1: jit_opt_after_cconv 0.01% : 0.000355s : 1: jit_opt_b 0.01% : 0.000480s : 1: loop_unroll 0.02% : 0.000792s : 1: mutable_eliminate 2.46% : 0.089384s : 39: opt.transform.jit_opt_a 0.00% : 0.000063s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000286s : 14: opt.transform.jit_opt_b 0.00% : 0.000014s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000027s : 1: opt.transform.mutable_eliminate 0.00% : 0.000028s : 1: opt.transform.opt_after_jit_grad 11.85% : 0.430322s : 2: opt.transform.opt_resolve 0.00% : 0.000040s : 4: opt.transform.symbol_engine_opt 0.01% : 0.000489s : 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% : 0.000051s : 1: py_interpret_to_execute 0.00% : 0.000023s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000020s : 1: remove_dup_value 23.31% : 0.846445s : 2: renormalize.infer 0.26% : 0.009568s : 2: renormalize.specialize 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.001026s : 1: rewriter_after_opt_a 0.00% : 0.000144s : 1: rewriter_before_opt_a 0.00% : 0.000087s : 1: symbol_engine_optimizer 2.28% : 0.082861s : 1: task_emit 21.34% : 0.774735s : 1: type_inference 0.00% : 0.000113s : 1: validate . [hook] pytest_runtest_teardown:test_squeeze_vmap[128-KBK] tests/st/mint/test_squeeze.py::test_squeeze_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 352.51s (0:05:52) ==================