==================================================Ascend ============================= test session starts ============================== platform linux -- Python 3.9.19, pytest-6.2.5, py-1.11.0, pluggy-1.5.0 rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st/mint, configfile: ../../../../../../sault/virtual_test/virtualenv_003/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 2 items test_reshape.py . [hook] pytest_runtest_teardown:test_reshape_empty_tensor[pynative] tests/st/mint/test_reshape.py::test_reshape_empty_tensor[pynative],max_mem:2.0M [WARNING] PARSER(166937,ffff9f53af30,python3.9):2026-01-29-17:41:59.024.587 [mindspore/ccsrc/frontend/jit/ps/parse/data_converter.cc:661] CheckAPI] The mint interface reshape was called, and the operators under this interface have different view capabilities on pynative and graph mode. Use this interface with caution in graph mode, as it may produce unexpected results. For more information, please refer to: https://www.mindspore.cn/docs/en/master/features/view.html TotalTime = 1.53162, [30] [bootstrap]: 0.00115194 [type_inference]: 1.35777 [event_method]: 2.515e-05 [auto_monad]: 0.00019606 [graph_reusing]: 7.58999e-06 [pre_auto_parallel]: 1.383e-05 [py_interpret_to_execute]: 0.00065785 [rewriter_before_opt_a]: 0.00013812 [expand_dump_flag]: 6.51e-06 [jit_opt_a]: 0.167907, [2] [Cycle 1]: 0.0838634, [27] [switch_simplify]: 6.062e-05 [loop_unroll]: 3.334e-05 [a_1]: 0.00058151 [with_stream_mark]: 3.241e-05 [recompute_prepare]: 1.117e-05 [updatestate_depend_eliminate]: 5.40999e-06 [updatestate_assign_eliminate]: 3.47002e-06 [updatestate_loads_eliminate]: 3.86999e-06 [parameter_eliminate]: 2.10002e-06 [specialize_transform]: 8.86997e-06 [updatestate_useless_node_eliminater]: 6.49999e-06 [accelerated_algorithm]: 7.37002e-06 [meta_shard_fg_expand]: 2.51998e-06 [get_grad_eliminate_]: 7.38999e-06 [merge_forward]: 4.3e-06 [cell_reuse_recompute_pass]: 1.48002e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.11e-05 [j_node_and_user_rematch]: 1.18e-05 [meta_fg_expand]: 2.68e-06 [replace_old_param]: 1.102e-05 [inline_without_move]: 6.83e-06 [renormalize]: 0.0826237 [add_forward_monad_depend]: 2.641e-05 [auto_monad_grad]: 3.16001e-06 [auto_monad_eliminator]: 4.065e-05 [cse]: 4.52e-05 [replace_applicator]: 3.063e-05 [Cycle 2]: 0.00049926, [27] [switch_simplify]: 8.80001e-06 [loop_unroll]: 7.24001e-06 [a_1]: 0.00017273 [with_stream_mark]: 2.276e-05 [recompute_prepare]: 7.88999e-06 [updatestate_depend_eliminate]: 4.54002e-06 [updatestate_assign_eliminate]: 4.45e-06 [updatestate_loads_eliminate]: 3.21999e-06 [parameter_eliminate]: 2.35002e-06 [specialize_transform]: 6.66999e-06 [updatestate_useless_node_eliminater]: 6.71999e-06 [accelerated_algorithm]: 7.2e-06 [meta_shard_fg_expand]: 2.28002e-06 [get_grad_eliminate_]: 6.17001e-06 [merge_forward]: 4.53001e-06 [cell_reuse_recompute_pass]: 4.87e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.948e-05 [j_node_and_user_rematch]: 1.136e-05 [meta_fg_expand]: 2.53998e-06 [replace_old_param]: 1.144e-05 [inline_without_move]: 6.33e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.89999e-06 [auto_monad_grad]: 1.39998e-06 [auto_monad_eliminator]: 7.55e-06 [cse]: 1.692e-05 [replace_applicator]: 7.25998e-06 [py_interpret_to_execute_after_opt_a]: 2.27e-05 [rewriter_after_opt_a]: 6.525e-05 [convert_after_rewriter]: 2.731e-05 [order_py_execute_after_rewriter]: 6.12999e-06 [mutable_eliminate]: 0.00091664 [jit_opt_b]: 6.941e-05, [1] [Cycle 1]: 5.799e-05, [2] [frontend_op_eliminate]: 2.198e-05 [inline_after_opt_a]: 2.144e-05 [cconv]: 4.432e-05 [loop_unroll]: 0.00061399 [jit_opt_after_cconv]: 0.00021142, [1] [Cycle 1]: 0.00020272, [11] [c_1]: 2.822e-05 [parameter_eliminate]: 6.39001e-06 [updatestate_depend_eliminate]: 1.244e-05 [updatestate_assign_eliminate]: 3.83001e-06 [updatestate_loads_eliminate]: 3.66001e-06 [cse]: 4.325e-05 [call_graph_tuple_transform]: 3.063e-05 [tuple_list_get_item_eliminator]: 7.27002e-06 [none_parameter_eliminate]: 1.43002e-06 [renormalize]: 2.29978e-07 [switch_simplify]: 7.33e-06 [remove_dup_value]: 1.962e-05 [partial_unused_args_eliminate]: 2.79001e-06 [environ_conv]: 3.05e-05 [add_recomputation]: 6.86e-05 [cse_after_recomputation]: 2.958e-05, [1] [Cycle 1]: 2.306e-05, [1] [cse]: 1.569e-05 [auto_monad_reorder]: 2.897e-05 [get_jit_bprop_graph]: 2.29999e-06 [rewriter_after_jit_bprop_graph]: 0.0002248 [opt_after_jit_grad]: 0.0007056 [symbol_engine_optimizer]: 0.00010145, [1] [Cycle 1]: 9.26e-05, [6] [build]: 7.10002e-06 [elim_shapecalc]: 1.057e-05 [elim_not_effective]: 2.034e-05 [opt_reshape]: 1.112e-05 [fold_const_symbol]: 1.063e-05 [renormalize]: 8.59989e-07 [validate]: 8.763e-05 Sums bootstrap : 0.001152s : 0.08% type_inference : 1.357772s : 93.83% event_method : 0.000025s : 0.00% auto_monad : 0.000196s : 0.01% graph_reusing : 0.000008s : 0.00% pre_auto_parallel : 0.000014s : 0.00% py_interpret_to_execute : 0.000658s : 0.05% rewriter_before_opt_a : 0.000138s : 0.01% expand_dump_flag : 0.000007s : 0.00% jit_opt_a.switch_simplify : 0.000069s : 0.00% jit_opt_a.loop_unroll : 0.000041s : 0.00% jit_opt_a.a_1 : 0.000754s : 0.05% jit_opt_a.with_stream_mark : 0.000055s : 0.00% jit_opt_a.recompute_prepare : 0.000019s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000008s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000007s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000016s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000013s : 0.00% jit_opt_a.accelerated_algorithm : 0.000015s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000014s : 0.00% jit_opt_a.merge_forward : 0.000009s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000041s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000023s : 0.00% jit_opt_a.meta_fg_expand : 0.000005s : 0.00% jit_opt_a.replace_old_param : 0.000022s : 0.00% jit_opt_a.inline_without_move : 0.000013s : 0.00% jit_opt_a.renormalize : 0.082624s : 5.71% jit_opt_a.add_forward_monad_depend : 0.000029s : 0.00% jit_opt_a.auto_monad_grad : 0.000005s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000048s : 0.00% jit_opt_a.cse : 0.000062s : 0.00% jit_opt_a.replace_applicator : 0.000038s : 0.00% py_interpret_to_execute_after_opt_a : 0.000023s : 0.00% rewriter_after_opt_a : 0.000065s : 0.00% convert_after_rewriter : 0.000027s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000917s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000022s : 0.00% jit_opt_b.inline_after_opt_a : 0.000021s : 0.00% cconv : 0.000044s : 0.00% loop_unroll : 0.000614s : 0.04% jit_opt_after_cconv.c_1 : 0.000028s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.cse : 0.000043s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000031s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000007s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000001s : 0.00% jit_opt_after_cconv.renormalize : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000020s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000030s : 0.00% add_recomputation : 0.000069s : 0.00% cse_after_recomputation.cse : 0.000016s : 0.00% auto_monad_reorder : 0.000029s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000225s : 0.02% opt_after_jit_grad : 0.000706s : 0.05% symbol_engine_optimizer.build : 0.000007s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000020s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000088s : 0.01% Time group info: ------[substitution.] 0.000218 28 1.39% : 0.000003s : 2: substitution.elim_not_effective 0.67% : 0.000001s : 2: substitution.fold_const_symbol 3.43% : 0.000007s : 4: substitution.graph_param_transform 70.18% : 0.000153s : 5: substitution.inline 2.79% : 0.000006s : 4: substitution.j_node_and_user_rematch 0.61% : 0.000001s : 1: substitution.opt_reshape 2.72% : 0.000006s : 4: substitution.remove_not_recompute_node 3.26% : 0.000007s : 2: substitution.replace_old_param 12.48% : 0.000027s : 3: substitution.reshape_eliminate 2.47% : 0.000005s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.357638 2 99.84% : 1.355442s : 1: type_inference.infer 0.16% : 0.002196s : 1: type_inference.specialize ------[replace.] 0.000061 6 81.86% : 0.000050s : 5: replace.inline 18.14% : 0.000011s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000154 6 96.98% : 0.000150s : 5: match.inline 3.02% : 0.000005s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000167 867 1.54% : 0.000003s : 13: predicate.accumulaten_eliminater 1.46% : 0.000002s : 4: predicate.ad_related_special_op_eliminate 1.07% : 0.000002s : 13: predicate.addn_check_dump 1.18% : 0.000002s : 13: predicate.addn_zero_filter 2.26% : 0.000004s : 13: predicate.arithmetic_simplify 1.25% : 0.000002s : 13: predicate.cast_eliminate 0.39% : 0.000001s : 4: predicate.check_bprop_eliminate 1.15% : 0.000002s : 13: predicate.compare_switch_simplify 1.03% : 0.000002s : 13: predicate.depend_value_elim 0.97% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 1.77% : 0.000003s : 13: predicate.dict_get_item_eliminator 1.70% : 0.000003s : 13: predicate.dict_set_item_eliminator 1.12% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.63% : 0.000001s : 4: predicate.elim_not_effective 0.60% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.24% : 0.000002s : 13: predicate.environ_add_const_eliminate 1.14% : 0.000002s : 13: predicate.environ_get_add_eliminate 1.28% : 0.000002s : 13: predicate.environ_get_depend_swap 1.12% : 0.000002s : 13: predicate.environ_get_eliminate 1.07% : 0.000002s : 13: predicate.environ_get_set_eliminate 0.27% : 0.000000s : 4: predicate.fold_const_symbol 1.19% : 0.000002s : 8: predicate.get_grad_eliminate 0.33% : 0.000001s : 4: predicate.graph_param_transform 4.65% : 0.000008s : 27: predicate.inline 0.84% : 0.000001s : 8: predicate.inline_without_move 0.37% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.43% : 0.000002s : 8: predicate.less_batch_normalization 2.25% : 0.000004s : 14: predicate.list_to_tuple_eliminator_ 1.77% : 0.000003s : 18: predicate.load_eliminater 1.62% : 0.000003s : 4: predicate.loop_unroll_after_grad 3.47% : 0.000006s : 37: predicate.loop_unroll_before_grad 2.16% : 0.000004s : 17: predicate.make_slice_get_slice_eliminator 0.99% : 0.000002s : 13: predicate.merge_addn 1.38% : 0.000002s : 13: predicate.minmaximum_grad 2.46% : 0.000004s : 4: predicate.mutable_eliminate 0.91% : 0.000002s : 4: predicate.opt_reshape 1.98% : 0.000003s : 18: predicate.partial_eliminate 1.13% : 0.000002s : 13: predicate.print_const_string_wrapper 1.65% : 0.000003s : 13: predicate.reduce_eliminate 1.34% : 0.000002s : 14: predicate.redundant_stop_gradient_eliminater 0.46% : 0.000001s : 8: predicate.remove_not_recompute_node 2.02% : 0.000003s : 22: predicate.replace_applicator 0.65% : 0.000001s : 8: predicate.replace_old_param 0.50% : 0.000001s : 4: predicate.reset_defer_inline 2.13% : 0.000004s : 13: predicate.reshape_eliminate 1.09% : 0.000002s : 13: predicate.row_tensor_add_zeros_like 0.90% : 0.000002s : 4: predicate.row_tensor_eliminate 1.41% : 0.000002s : 13: predicate.same_eliminate 0.63% : 0.000001s : 8: predicate.set_cell_output_no_recompute 0.83% : 0.000001s : 8: predicate.special_op_eliminate 0.82% : 0.000001s : 8: predicate.specialize_transform 1.45% : 0.000002s : 13: predicate.split_environ_get_set_with_tuple_value 1.27% : 0.000002s : 13: predicate.stack_unstack_eliminate 0.41% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.16% : 0.000004s : 19: predicate.switch_defer_inline 1.93% : 0.000003s : 19: predicate.switch_layer_defer_inline 6.05% : 0.000010s : 60: predicate.switch_simplify 1.23% : 0.000002s : 13: predicate.tile_eliminate 1.32% : 0.000002s : 13: predicate.transpose_eliminate 1.35% : 0.000002s : 13: predicate.tuple_list_convert_item_index_to_positive 1.62% : 0.000003s : 13: predicate.tuple_list_get_item_depend_reorder 3.99% : 0.000007s : 22: predicate.tuple_list_get_item_eliminator 1.35% : 0.000002s : 13: predicate.tuple_list_set_item_eliminator 1.30% : 0.000002s : 14: predicate.tuple_to_list_eliminator_ 1.46% : 0.000002s : 18: predicate.updatestate_pure_node_eliminater 2.72% : 0.000005s : 26: predicate.updatestate_useless_node_eliminater 1.81% : 0.000003s : 13: predicate.value_based_eliminate 0.33% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.66% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003662 23 77.00% : 0.002820s : 16: func_graph_cloner_run.FuncGraphClonerGraph 23.00% : 0.000842s : 7: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.615203 72 0.00% : 0.000072s : 1: add_recomputation 0.01% : 0.000203s : 1: auto_monad 0.00% : 0.000032s : 1: auto_monad_reorder 0.07% : 0.001182s : 1: bootstrap 0.00% : 0.000048s : 1: cconv 0.00% : 0.000030s : 1: convert_after_rewriter 0.00% : 0.000032s : 1: cse_after_recomputation 0.00% : 0.000034s : 1: environ_conv 0.00% : 0.000032s : 1: event_method 0.00% : 0.000010s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000011s : 1: graph_reusing 10.40% : 0.167911s : 1: jit_opt_a 0.01% : 0.000215s : 1: jit_opt_after_cconv 0.00% : 0.000073s : 1: jit_opt_b 0.04% : 0.000627s : 1: loop_unroll 0.06% : 0.000935s : 1: mutable_eliminate 0.06% : 0.001028s : 26: opt.transform.jit_opt_a 0.00% : 0.000070s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000035s : 4: opt.transform.jit_opt_b 0.00% : 0.000017s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000026s : 1: opt.transform.mutable_eliminate 0.01% : 0.000094s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000048s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000721s : 1: opt_after_jit_grad 0.00% : 0.000008s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000016s : 1: pre_auto_parallel 0.04% : 0.000678s : 1: py_interpret_to_execute 0.00% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000023s : 1: remove_dup_value 0.10% : 0.001607s : 1: renormalize.infer 5.01% : 0.080999s : 1: renormalize.specialize 0.01% : 0.000230s : 1: rewriter_after_jit_bprop_graph 0.00% : 0.000070s : 1: rewriter_after_opt_a 0.01% : 0.000146s : 1: rewriter_before_opt_a 0.01% : 0.000105s : 1: symbol_engine_optimizer 84.06% : 1.357799s : 1: type_inference TotalTime = 1.38084, [30] [bootstrap]: 0.00112773 [type_inference]: 0.961516 [event_method]: 0.00045458 [auto_monad]: 0.00022346 [graph_reusing]: 1.104e-05 [pre_auto_parallel]: 4.13001e-06 [py_interpret_to_execute]: 0.00014004 [rewriter_before_opt_a]: 0.00017731 [expand_dump_flag]: 4.95001e-06 [jit_opt_a]: 0.414003, [2] [Cycle 1]: 0.235782, [27] [switch_simplify]: 0.00026847 [loop_unroll]: 8.113e-05 [a_1]: 0.0016613 [with_stream_mark]: 4.652e-05 [recompute_prepare]: 3.493e-05 [updatestate_depend_eliminate]: 1.195e-05 [updatestate_assign_eliminate]: 7.05e-06 [updatestate_loads_eliminate]: 7.4e-06 [parameter_eliminate]: 4.3e-06 [specialize_transform]: 1.701e-05 [updatestate_useless_node_eliminater]: 1.536e-05 [accelerated_algorithm]: 1.635e-05 [meta_shard_fg_expand]: 5.25999e-06 [get_grad_eliminate_]: 1.526e-05 [merge_forward]: 1.04e-05 [cell_reuse_recompute_pass]: 1.09e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.274e-05 [j_node_and_user_rematch]: 2.792e-05 [meta_fg_expand]: 0.00273306 [replace_old_param]: 8.051e-05 [inline_without_move]: 7.004e-05 [renormalize]: 0.230196 [add_forward_monad_depend]: 1.58e-05 [auto_monad_grad]: 3.25e-06 [auto_monad_eliminator]: 2.293e-05 [cse]: 3.456e-05 [replace_applicator]: 2.763e-05 [Cycle 2]: 0.00053289, [27] [switch_simplify]: 6.11998e-06 [loop_unroll]: 5.34e-06 [a_1]: 6.268e-05 [with_stream_mark]: 1.695e-05 [recompute_prepare]: 4.37e-06 [updatestate_depend_eliminate]: 3.64002e-06 [updatestate_assign_eliminate]: 2.74999e-06 [updatestate_loads_eliminate]: 2.97002e-06 [parameter_eliminate]: 2.09999e-06 [specialize_transform]: 4.97e-06 [updatestate_useless_node_eliminater]: 4.27e-06 [accelerated_algorithm]: 4.91002e-06 [meta_shard_fg_expand]: 2.41998e-06 [get_grad_eliminate_]: 3.38999e-06 [merge_forward]: 4.50001e-06 [cell_reuse_recompute_pass]: 4.88001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.826e-05 [j_node_and_user_rematch]: 8.92999e-06 [meta_fg_expand]: 0.00019059 [replace_old_param]: 7.61999e-06 [inline_without_move]: 4.1e-06 [renormalize]: 7.00238e-08 [add_forward_monad_depend]: 2.36998e-06 [auto_monad_grad]: 1.27e-06 [auto_monad_eliminator]: 6.63e-06 [cse]: 1.533e-05 [replace_applicator]: 5.00999e-06 [py_interpret_to_execute_after_opt_a]: 2.1e-05 [rewriter_after_opt_a]: 0.00042061 [convert_after_rewriter]: 1.383e-05 [order_py_execute_after_rewriter]: 5.47999e-06 [mutable_eliminate]: 0.00081205 [jit_opt_b]: 5.545e-05, [1] [Cycle 1]: 4.531e-05, [2] [frontend_op_eliminate]: 1.414e-05 [inline_after_opt_a]: 1.632e-05 [cconv]: 3.72e-05 [loop_unroll]: 0.00052763 [jit_opt_after_cconv]: 0.00017195, [1] [Cycle 1]: 0.00016371, [11] [c_1]: 1.907e-05 [parameter_eliminate]: 4.72e-06 [updatestate_depend_eliminate]: 9.07001e-06 [updatestate_assign_eliminate]: 2.36e-06 [updatestate_loads_eliminate]: 2.59001e-06 [cse]: 3.428e-05 [call_graph_tuple_transform]: 2.117e-05 [tuple_list_get_item_eliminator]: 5.15001e-06 [none_parameter_eliminate]: 1.86e-06 [renormalize]: 6.89994e-07 [switch_simplify]: 4.67e-06 [remove_dup_value]: 1.84e-05 [partial_unused_args_eliminate]: 2.88e-06 [environ_conv]: 6.93e-06 [add_recomputation]: 4.859e-05 [cse_after_recomputation]: 2.414e-05, [1] [Cycle 1]: 1.748e-05, [1] [cse]: 9.02e-06 [auto_monad_reorder]: 1.585e-05 [get_jit_bprop_graph]: 2.71999e-06 [rewriter_after_jit_bprop_graph]: 9.14998e-06 [opt_after_jit_grad]: 0.00057922 [symbol_engine_optimizer]: 8.015e-05, [1] [Cycle 1]: 7.246e-05, [6] [build]: 4.85001e-06 [elim_shapecalc]: 7.41999e-06 [elim_not_effective]: 1.45e-05 [opt_reshape]: 5.80002e-06 [fold_const_symbol]: 7.34002e-06 [renormalize]: 6.79982e-07 [validate]: 4.411e-05 Sums bootstrap : 0.001128s : 0.09% type_inference : 0.961516s : 79.98% event_method : 0.000455s : 0.04% auto_monad : 0.000223s : 0.02% graph_reusing : 0.000011s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000140s : 0.01% rewriter_before_opt_a : 0.000177s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000275s : 0.02% jit_opt_a.loop_unroll : 0.000086s : 0.01% jit_opt_a.a_1 : 0.001724s : 0.14% jit_opt_a.with_stream_mark : 0.000063s : 0.01% jit_opt_a.recompute_prepare : 0.000039s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000016s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000010s : 0.00% jit_opt_a.parameter_eliminate : 0.000006s : 0.00% jit_opt_a.specialize_transform : 0.000022s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000020s : 0.00% jit_opt_a.accelerated_algorithm : 0.000021s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000008s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000019s : 0.00% jit_opt_a.merge_forward : 0.000015s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000051s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000037s : 0.00% jit_opt_a.meta_fg_expand : 0.002924s : 0.24% jit_opt_a.replace_old_param : 0.000088s : 0.01% jit_opt_a.inline_without_move : 0.000074s : 0.01% jit_opt_a.renormalize : 0.230196s : 19.15% jit_opt_a.add_forward_monad_depend : 0.000018s : 0.00% jit_opt_a.auto_monad_grad : 0.000005s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000030s : 0.00% jit_opt_a.cse : 0.000050s : 0.00% jit_opt_a.replace_applicator : 0.000033s : 0.00% py_interpret_to_execute_after_opt_a : 0.000021s : 0.00% rewriter_after_opt_a : 0.000421s : 0.03% convert_after_rewriter : 0.000014s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000812s : 0.07% jit_opt_b.frontend_op_eliminate : 0.000014s : 0.00% jit_opt_b.inline_after_opt_a : 0.000016s : 0.00% cconv : 0.000037s : 0.00% loop_unroll : 0.000528s : 0.04% jit_opt_after_cconv.c_1 : 0.000019s : 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 : 0.000002s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000034s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000021s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000005s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000005s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000007s : 0.00% add_recomputation : 0.000049s : 0.00% cse_after_recomputation.cse : 0.000009s : 0.00% auto_monad_reorder : 0.000016s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000009s : 0.00% opt_after_jit_grad : 0.000579s : 0.05% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000007s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000014s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000006s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000007s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000044s : 0.00% Time group info: ------[substitution.] 0.000598 69 0.34% : 0.000002s : 1: substitution.elim_not_effective 0.19% : 0.000001s : 1: substitution.fold_const_symbol 0.80% : 0.000005s : 1: substitution.graph_param_transform 65.64% : 0.000393s : 14: substitution.inline 4.39% : 0.000026s : 2: substitution.inline_without_move 1.60% : 0.000010s : 9: substitution.j_node_and_user_rematch 0.76% : 0.000005s : 2: substitution.minmaximum_grad 1.42% : 0.000009s : 9: substitution.partial_eliminate 1.36% : 0.000008s : 9: substitution.remove_not_recompute_node 0.65% : 0.000004s : 1: substitution.replace_applicator 1.12% : 0.000007s : 7: substitution.replace_old_param 12.12% : 0.000073s : 2: substitution.reshape_eliminate 0.68% : 0.000004s : 1: substitution.set_cell_output_no_recompute 3.18% : 0.000019s : 3: substitution.switch_simplify 1.53% : 0.000009s : 2: substitution.tuple_list_convert_item_index_to_positive 1.20% : 0.000007s : 2: substitution.tuple_list_get_item_depend_reorder 3.02% : 0.000018s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.961361 2 99.55% : 0.957070s : 1: type_inference.infer 0.45% : 0.004291s : 1: type_inference.specialize ------[replace.] 0.000224 18 56.99% : 0.000127s : 14: replace.inline 38.21% : 0.000085s : 3: replace.switch_simplify 4.79% : 0.000011s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000407 18 94.55% : 0.000385s : 14: match.inline 4.16% : 0.000017s : 3: match.switch_simplify 1.29% : 0.000005s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000280 1710 1.43% : 0.000004s : 29: predicate.accumulaten_eliminater 0.49% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.36% : 0.000004s : 29: predicate.addn_check_dump 1.62% : 0.000005s : 29: predicate.addn_zero_filter 1.91% : 0.000005s : 29: predicate.arithmetic_simplify 1.59% : 0.000004s : 29: predicate.cast_eliminate 0.25% : 0.000001s : 1: predicate.check_bprop_eliminate 1.32% : 0.000004s : 29: predicate.compare_switch_simplify 1.28% : 0.000004s : 29: predicate.depend_value_elim 1.31% : 0.000004s : 29: predicate.dict_get_item_const_eliminator 1.39% : 0.000004s : 29: predicate.dict_get_item_eliminator 1.33% : 0.000004s : 29: predicate.dict_set_item_eliminator 0.31% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.26% : 0.000001s : 1: predicate.elim_not_effective 0.27% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 1.50% : 0.000004s : 29: predicate.environ_add_const_eliminate 1.41% : 0.000004s : 29: predicate.environ_get_add_eliminate 1.37% : 0.000004s : 29: predicate.environ_get_depend_swap 1.36% : 0.000004s : 29: predicate.environ_get_eliminate 1.31% : 0.000004s : 29: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 1: predicate.fold_const_symbol 0.86% : 0.000002s : 14: predicate.get_grad_eliminate 0.14% : 0.000000s : 1: predicate.graph_param_transform 4.79% : 0.000013s : 46: predicate.inline 2.53% : 0.000007s : 38: predicate.inline_without_move 0.38% : 0.000001s : 14: predicate.j_node_and_user_rematch 1.27% : 0.000004s : 14: predicate.less_batch_normalization 1.69% : 0.000005s : 30: predicate.list_to_tuple_eliminator_ 1.75% : 0.000005s : 31: predicate.load_eliminater 0.49% : 0.000001s : 1: predicate.loop_unroll_after_grad 4.16% : 0.000012s : 78: predicate.loop_unroll_before_grad 1.70% : 0.000005s : 30: predicate.make_slice_get_slice_eliminator 1.51% : 0.000004s : 29: predicate.merge_addn 1.41% : 0.000004s : 29: predicate.minmaximum_grad 0.59% : 0.000002s : 1: predicate.mutable_eliminate 0.30% : 0.000001s : 1: predicate.opt_reshape 2.16% : 0.000006s : 31: predicate.partial_eliminate 1.41% : 0.000004s : 29: predicate.print_const_string_wrapper 1.97% : 0.000006s : 29: predicate.reduce_eliminate 1.42% : 0.000004s : 30: predicate.redundant_stop_gradient_eliminater 0.55% : 0.000002s : 14: predicate.remove_not_recompute_node 1.56% : 0.000004s : 32: predicate.replace_applicator 1.52% : 0.000004s : 38: predicate.replace_old_param 0.17% : 0.000000s : 1: predicate.reset_defer_inline 1.81% : 0.000005s : 29: predicate.reshape_eliminate 1.39% : 0.000004s : 29: predicate.row_tensor_add_zeros_like 0.43% : 0.000001s : 1: predicate.row_tensor_eliminate 1.41% : 0.000004s : 29: predicate.same_eliminate 0.49% : 0.000001s : 14: predicate.set_cell_output_no_recompute 0.46% : 0.000001s : 2: predicate.special_op_eliminate 1.00% : 0.000003s : 14: predicate.specialize_transform 1.59% : 0.000004s : 29: predicate.split_environ_get_set_with_tuple_value 1.41% : 0.000004s : 29: predicate.stack_unstack_eliminate 0.18% : 0.000001s : 1: predicate.switch_call_monad_eliminater 2.83% : 0.000008s : 44: predicate.switch_defer_inline 2.47% : 0.000007s : 44: predicate.switch_layer_defer_inline 8.00% : 0.000022s : 129: predicate.switch_simplify 1.49% : 0.000004s : 29: predicate.tile_eliminate 1.47% : 0.000004s : 29: predicate.transpose_eliminate 1.69% : 0.000005s : 29: predicate.tuple_list_convert_item_index_to_positive 1.64% : 0.000005s : 29: predicate.tuple_list_get_item_depend_reorder 3.20% : 0.000009s : 32: predicate.tuple_list_get_item_eliminator 1.69% : 0.000005s : 29: predicate.tuple_list_set_item_eliminator 1.47% : 0.000004s : 30: predicate.tuple_to_list_eliminator_ 1.66% : 0.000005s : 31: predicate.updatestate_pure_node_eliminater 2.72% : 0.000008s : 45: predicate.updatestate_useless_node_eliminater 1.82% : 0.000005s : 29: predicate.value_based_eliminate 0.05% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.21% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.024289 47 96.71% : 0.023491s : 30: func_graph_cloner_run.FuncGraphClonerGraph 3.29% : 0.000798s : 17: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.613475 72 0.00% : 0.000052s : 1: add_recomputation 0.01% : 0.000232s : 1: auto_monad 0.00% : 0.000019s : 1: auto_monad_reorder 0.07% : 0.001163s : 1: bootstrap 0.00% : 0.000040s : 1: cconv 0.00% : 0.000018s : 1: convert_after_rewriter 0.00% : 0.000026s : 1: cse_after_recomputation 0.00% : 0.000009s : 1: environ_conv 0.03% : 0.000469s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000014s : 1: graph_reusing 25.66% : 0.414008s : 1: jit_opt_a 0.01% : 0.000175s : 1: jit_opt_after_cconv 0.00% : 0.000059s : 1: jit_opt_b 0.03% : 0.000539s : 1: loop_unroll 0.05% : 0.000824s : 1: mutable_eliminate 0.15% : 0.002436s : 26: opt.transform.jit_opt_a 0.00% : 0.000045s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000021s : 4: opt.transform.jit_opt_b 0.00% : 0.000013s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000018s : 1: opt.transform.mutable_eliminate 0.00% : 0.000022s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000031s : 4: opt.transform.symbol_engine_opt 0.04% : 0.000596s : 1: opt_after_jit_grad 0.00% : 0.000008s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.01% : 0.000146s : 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 14.20% : 0.229060s : 1: renormalize.infer 0.07% : 0.001111s : 1: renormalize.specialize 0.00% : 0.000011s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000428s : 1: rewriter_after_opt_a 0.01% : 0.000181s : 1: rewriter_before_opt_a 0.01% : 0.000084s : 1: symbol_engine_optimizer 59.59% : 0.961549s : 1: type_inference TotalTime = 0.631268, [30] [bootstrap]: 0.00034371 [type_inference]: 0.618522 [event_method]: 2.414e-05 [auto_monad]: 8.058e-05 [graph_reusing]: 6.88e-06 [pre_auto_parallel]: 2.86e-06 [py_interpret_to_execute]: 0.0003066 [rewriter_before_opt_a]: 8.907e-05 [expand_dump_flag]: 4.18001e-06 [jit_opt_a]: 0.0086387, [2] [Cycle 1]: 0.00415516, [27] [switch_simplify]: 6.797e-05 [loop_unroll]: 3.174e-05 [a_1]: 0.00066693 [with_stream_mark]: 2.915e-05 [recompute_prepare]: 1.263e-05 [updatestate_depend_eliminate]: 5.15999e-06 [updatestate_assign_eliminate]: 3.91999e-06 [updatestate_loads_eliminate]: 3.31001e-06 [parameter_eliminate]: 2.34999e-06 [specialize_transform]: 9.09e-06 [updatestate_useless_node_eliminater]: 7.28e-06 [accelerated_algorithm]: 7.45e-06 [meta_shard_fg_expand]: 2.88e-06 [get_grad_eliminate_]: 6.76999e-06 [merge_forward]: 5.04998e-06 [cell_reuse_recompute_pass]: 1.96003e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.855e-05 [j_node_and_user_rematch]: 1.211e-05 [meta_fg_expand]: 3.01999e-06 [replace_old_param]: 1.301e-05 [inline_without_move]: 6.93e-06 [renormalize]: 0.00290421 [add_forward_monad_depend]: 1.055e-05 [auto_monad_grad]: 2.85998e-06 [auto_monad_eliminator]: 2.182e-05 [cse]: 3.963e-05 [replace_applicator]: 2.347e-05 [Cycle 2]: 0.00044562, [27] [switch_simplify]: 8.02e-06 [loop_unroll]: 6.69999e-06 [a_1]: 0.00015023 [with_stream_mark]: 1.861e-05 [recompute_prepare]: 7.8e-06 [updatestate_depend_eliminate]: 4.68999e-06 [updatestate_assign_eliminate]: 3.55e-06 [updatestate_loads_eliminate]: 3.38e-06 [parameter_eliminate]: 1.94e-06 [specialize_transform]: 6.86001e-06 [updatestate_useless_node_eliminater]: 6.38998e-06 [accelerated_algorithm]: 6.94001e-06 [meta_shard_fg_expand]: 2.04e-06 [get_grad_eliminate_]: 6.14999e-06 [merge_forward]: 4.13001e-06 [cell_reuse_recompute_pass]: 3.46001e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.657e-05 [j_node_and_user_rematch]: 1.072e-05 [meta_fg_expand]: 2.71e-06 [replace_old_param]: 9.86998e-06 [inline_without_move]: 5.69e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 2.32999e-06 [auto_monad_grad]: 1.31002e-06 [auto_monad_eliminator]: 7.04001e-06 [cse]: 1.576e-05 [replace_applicator]: 6.43e-06 [py_interpret_to_execute_after_opt_a]: 1.807e-05 [rewriter_after_opt_a]: 4.531e-05 [convert_after_rewriter]: 8.77e-06 [order_py_execute_after_rewriter]: 5.68002e-06 [mutable_eliminate]: 0.00088697 [jit_opt_b]: 7.622e-05, [1] [Cycle 1]: 6.549e-05, [2] [frontend_op_eliminate]: 2.348e-05 [inline_after_opt_a]: 2.53e-05 [cconv]: 4.247e-05 [loop_unroll]: 0.00060456 [jit_opt_after_cconv]: 0.00021924, [1] [Cycle 1]: 0.00020991, [11] [c_1]: 2.94e-05 [parameter_eliminate]: 6.99001e-06 [updatestate_depend_eliminate]: 1.245e-05 [updatestate_assign_eliminate]: 3.15998e-06 [updatestate_loads_eliminate]: 3.23e-06 [cse]: 4.45e-05 [call_graph_tuple_transform]: 2.955e-05 [tuple_list_get_item_eliminator]: 7.06001e-06 [none_parameter_eliminate]: 1.64e-06 [renormalize]: 3.89991e-07 [switch_simplify]: 7.45e-06 [remove_dup_value]: 2.111e-05 [partial_unused_args_eliminate]: 2.70997e-06 [environ_conv]: 1.352e-05 [add_recomputation]: 6.865e-05 [cse_after_recomputation]: 3.502e-05, [1] [Cycle 1]: 2.569e-05, [1] [cse]: 1.6e-05 [auto_monad_reorder]: 1.849e-05 [get_jit_bprop_graph]: 2.29999e-06 [rewriter_after_jit_bprop_graph]: 9.88002e-06 [opt_after_jit_grad]: 0.00071941 [symbol_engine_optimizer]: 0.0001106, [1] [Cycle 1]: 0.00010077, [6] [build]: 6.48e-06 [elim_shapecalc]: 1.287e-05 [elim_not_effective]: 2.143e-05 [opt_reshape]: 1.249e-05 [fold_const_symbol]: 1.076e-05 [renormalize]: 8.70001e-07 [validate]: 6.963e-05 Sums bootstrap : 0.000344s : 0.05% type_inference : 0.618522s : 98.74% event_method : 0.000024s : 0.00% auto_monad : 0.000081s : 0.01% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000307s : 0.05% rewriter_before_opt_a : 0.000089s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000076s : 0.01% jit_opt_a.loop_unroll : 0.000038s : 0.01% jit_opt_a.a_1 : 0.000817s : 0.13% jit_opt_a.with_stream_mark : 0.000048s : 0.01% jit_opt_a.recompute_prepare : 0.000020s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000007s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000007s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000016s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000014s : 0.00% jit_opt_a.accelerated_algorithm : 0.000014s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000013s : 0.00% jit_opt_a.merge_forward : 0.000009s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000035s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000023s : 0.00% jit_opt_a.meta_fg_expand : 0.000006s : 0.00% jit_opt_a.replace_old_param : 0.000023s : 0.00% jit_opt_a.inline_without_move : 0.000013s : 0.00% jit_opt_a.renormalize : 0.002904s : 0.46% jit_opt_a.add_forward_monad_depend : 0.000013s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000029s : 0.00% jit_opt_a.cse : 0.000055s : 0.01% jit_opt_a.replace_applicator : 0.000030s : 0.00% py_interpret_to_execute_after_opt_a : 0.000018s : 0.00% rewriter_after_opt_a : 0.000045s : 0.01% convert_after_rewriter : 0.000009s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000887s : 0.14% jit_opt_b.frontend_op_eliminate : 0.000023s : 0.00% jit_opt_b.inline_after_opt_a : 0.000025s : 0.00% cconv : 0.000042s : 0.01% loop_unroll : 0.000605s : 0.10% jit_opt_after_cconv.c_1 : 0.000029s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000044s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000030s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000007s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000021s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000014s : 0.00% add_recomputation : 0.000069s : 0.01% cse_after_recomputation.cse : 0.000016s : 0.00% auto_monad_reorder : 0.000018s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000010s : 0.00% opt_after_jit_grad : 0.000719s : 0.11% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000013s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000021s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000012s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000011s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000070s : 0.01% Time group info: ------[substitution.] 0.000270 28 1.13% : 0.000003s : 2: substitution.elim_not_effective 0.53% : 0.000001s : 2: substitution.fold_const_symbol 2.69% : 0.000007s : 4: substitution.graph_param_transform 77.17% : 0.000208s : 5: substitution.inline 2.11% : 0.000006s : 4: substitution.j_node_and_user_rematch 0.65% : 0.000002s : 1: substitution.opt_reshape 1.90% : 0.000005s : 4: substitution.remove_not_recompute_node 2.57% : 0.000007s : 2: substitution.replace_old_param 8.53% : 0.000023s : 3: substitution.reshape_eliminate 2.72% : 0.000007s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.618412 2 99.66% : 0.616307s : 1: type_inference.infer 0.34% : 0.002105s : 1: type_inference.specialize ------[replace.] 0.000067 6 83.82% : 0.000056s : 5: replace.inline 16.18% : 0.000011s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000211 6 96.89% : 0.000205s : 5: match.inline 3.11% : 0.000007s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000163 867 1.36% : 0.000002s : 13: predicate.accumulaten_eliminater 1.92% : 0.000003s : 4: predicate.ad_related_special_op_eliminate 1.24% : 0.000002s : 13: predicate.addn_check_dump 1.26% : 0.000002s : 13: predicate.addn_zero_filter 1.77% : 0.000003s : 13: predicate.arithmetic_simplify 1.18% : 0.000002s : 13: predicate.cast_eliminate 0.56% : 0.000001s : 4: predicate.check_bprop_eliminate 1.12% : 0.000002s : 13: predicate.compare_switch_simplify 1.12% : 0.000002s : 13: predicate.depend_value_elim 0.99% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 1.11% : 0.000002s : 13: predicate.dict_get_item_eliminator 1.15% : 0.000002s : 13: predicate.dict_set_item_eliminator 1.40% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.54% : 0.000001s : 4: predicate.elim_not_effective 0.83% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.15% : 0.000002s : 13: predicate.environ_add_const_eliminate 1.09% : 0.000002s : 13: predicate.environ_get_add_eliminate 1.01% : 0.000002s : 13: predicate.environ_get_depend_swap 1.18% : 0.000002s : 13: predicate.environ_get_eliminate 0.97% : 0.000002s : 13: predicate.environ_get_set_eliminate 0.24% : 0.000000s : 4: predicate.fold_const_symbol 0.93% : 0.000002s : 8: predicate.get_grad_eliminate 0.34% : 0.000001s : 4: predicate.graph_param_transform 5.66% : 0.000009s : 27: predicate.inline 0.98% : 0.000002s : 8: predicate.inline_without_move 0.41% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.62% : 0.000003s : 8: predicate.less_batch_normalization 1.48% : 0.000002s : 14: predicate.list_to_tuple_eliminator_ 1.56% : 0.000003s : 18: predicate.load_eliminater 2.19% : 0.000004s : 4: predicate.loop_unroll_after_grad 3.26% : 0.000005s : 37: predicate.loop_unroll_before_grad 1.83% : 0.000003s : 17: predicate.make_slice_get_slice_eliminator 1.26% : 0.000002s : 13: predicate.merge_addn 0.97% : 0.000002s : 13: predicate.minmaximum_grad 2.26% : 0.000004s : 4: predicate.mutable_eliminate 0.81% : 0.000001s : 4: predicate.opt_reshape 2.08% : 0.000003s : 18: predicate.partial_eliminate 1.20% : 0.000002s : 13: predicate.print_const_string_wrapper 1.74% : 0.000003s : 13: predicate.reduce_eliminate 1.31% : 0.000002s : 14: predicate.redundant_stop_gradient_eliminater 0.44% : 0.000001s : 8: predicate.remove_not_recompute_node 1.77% : 0.000003s : 22: predicate.replace_applicator 0.69% : 0.000001s : 8: predicate.replace_old_param 0.48% : 0.000001s : 4: predicate.reset_defer_inline 1.95% : 0.000003s : 13: predicate.reshape_eliminate 1.20% : 0.000002s : 13: predicate.row_tensor_add_zeros_like 1.10% : 0.000002s : 4: predicate.row_tensor_eliminate 1.14% : 0.000002s : 13: predicate.same_eliminate 0.67% : 0.000001s : 8: predicate.set_cell_output_no_recompute 1.15% : 0.000002s : 8: predicate.special_op_eliminate 1.15% : 0.000002s : 8: predicate.specialize_transform 1.31% : 0.000002s : 13: predicate.split_environ_get_set_with_tuple_value 1.66% : 0.000003s : 13: predicate.stack_unstack_eliminate 0.53% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.15% : 0.000004s : 19: predicate.switch_defer_inline 1.78% : 0.000003s : 19: predicate.switch_layer_defer_inline 7.20% : 0.000012s : 60: predicate.switch_simplify 1.21% : 0.000002s : 13: predicate.tile_eliminate 1.22% : 0.000002s : 13: predicate.transpose_eliminate 1.49% : 0.000002s : 13: predicate.tuple_list_convert_item_index_to_positive 1.09% : 0.000002s : 13: predicate.tuple_list_get_item_depend_reorder 3.74% : 0.000006s : 22: predicate.tuple_list_get_item_eliminator 1.65% : 0.000003s : 13: predicate.tuple_list_set_item_eliminator 1.26% : 0.000002s : 14: predicate.tuple_to_list_eliminator_ 1.47% : 0.000002s : 18: predicate.updatestate_pure_node_eliminater 2.68% : 0.000004s : 26: predicate.updatestate_useless_node_eliminater 1.69% : 0.000003s : 13: predicate.value_based_eliminate 0.34% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.71% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.002357 19 68.72% : 0.001620s : 12: func_graph_cloner_run.FuncGraphClonerGraph 31.28% : 0.000737s : 7: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.635361 72 0.01% : 0.000074s : 1: add_recomputation 0.01% : 0.000086s : 1: auto_monad 0.00% : 0.000023s : 1: auto_monad_reorder 0.06% : 0.000367s : 1: bootstrap 0.01% : 0.000046s : 1: cconv 0.00% : 0.000011s : 1: convert_after_rewriter 0.01% : 0.000037s : 1: cse_after_recomputation 0.00% : 0.000016s : 1: environ_conv 0.00% : 0.000030s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000010s : 1: graph_reusing 1.36% : 0.008643s : 1: jit_opt_a 0.04% : 0.000223s : 1: jit_opt_after_cconv 0.01% : 0.000080s : 1: jit_opt_b 0.10% : 0.000620s : 1: loop_unroll 0.14% : 0.000910s : 1: mutable_eliminate 0.17% : 0.001093s : 26: opt.transform.jit_opt_a 0.01% : 0.000069s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000038s : 4: opt.transform.jit_opt_b 0.00% : 0.000021s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000029s : 1: opt.transform.mutable_eliminate 0.01% : 0.000039s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.000052s : 4: opt.transform.symbol_engine_opt 0.12% : 0.000739s : 1: opt_after_jit_grad 0.00% : 0.000008s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000005s : 1: pre_auto_parallel 0.05% : 0.000314s : 1: py_interpret_to_execute 0.00% : 0.000021s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000024s : 1: remove_dup_value 0.33% : 0.002095s : 1: renormalize.infer 0.13% : 0.000795s : 1: renormalize.specialize 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000049s : 1: rewriter_after_opt_a 0.02% : 0.000097s : 1: rewriter_before_opt_a 0.02% : 0.000114s : 1: symbol_engine_optimizer 97.35% : 0.618553s : 1: type_inference TotalTime = 0.943981, [30] [bootstrap]: 0.00035291 [type_inference]: 0.634919 [event_method]: 0.00045133 [auto_monad]: 0.00017972 [graph_reusing]: 1.147e-05 [pre_auto_parallel]: 4.40999e-06 [py_interpret_to_execute]: 6.837e-05 [rewriter_before_opt_a]: 0.0001732 [expand_dump_flag]: 4.54998e-06 [jit_opt_a]: 0.177227, [2] [Cycle 1]: 0.172636, [27] [switch_simplify]: 0.00023775 [loop_unroll]: 8.015e-05 [a_1]: 0.157837 [with_stream_mark]: 4.604e-05 [recompute_prepare]: 3.357e-05 [updatestate_depend_eliminate]: 1.025e-05 [updatestate_assign_eliminate]: 7.31001e-06 [updatestate_loads_eliminate]: 6.86001e-06 [parameter_eliminate]: 3.75e-06 [specialize_transform]: 1.871e-05 [updatestate_useless_node_eliminater]: 1.478e-05 [accelerated_algorithm]: 1.592e-05 [meta_shard_fg_expand]: 7.55e-06 [get_grad_eliminate_]: 1.546e-05 [merge_forward]: 1.015e-05 [cell_reuse_recompute_pass]: 1.42999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.259e-05 [j_node_and_user_rematch]: 2.795e-05 [meta_fg_expand]: 0.00238327 [replace_old_param]: 8.818e-05 [inline_without_move]: 7.596e-05 [renormalize]: 0.0112468 [add_forward_monad_depend]: 1.065e-05 [auto_monad_grad]: 3.81999e-06 [auto_monad_eliminator]: 2.014e-05 [cse]: 3.563e-05 [replace_applicator]: 2.558e-05 [Cycle 2]: 0.00055304, [27] [switch_simplify]: 6.75002e-06 [loop_unroll]: 5.07e-06 [a_1]: 5.859e-05 [with_stream_mark]: 1.871e-05 [recompute_prepare]: 4.77e-06 [updatestate_depend_eliminate]: 3.48e-06 [updatestate_assign_eliminate]: 2.52001e-06 [updatestate_loads_eliminate]: 2.46998e-06 [parameter_eliminate]: 2.21e-06 [specialize_transform]: 4.62998e-06 [updatestate_useless_node_eliminater]: 3.85e-06 [accelerated_algorithm]: 4.33001e-06 [meta_shard_fg_expand]: 2.48e-06 [get_grad_eliminate_]: 3.49001e-06 [merge_forward]: 3.58e-06 [cell_reuse_recompute_pass]: 4.58001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.081e-05 [j_node_and_user_rematch]: 7.43e-06 [meta_fg_expand]: 0.00019666 [replace_old_param]: 1.112e-05 [inline_without_move]: 4.89e-06 [renormalize]: 1.30007e-07 [add_forward_monad_depend]: 3.60998e-06 [auto_monad_grad]: 1.81e-06 [auto_monad_eliminator]: 8.60999e-06 [cse]: 2.139e-05 [replace_applicator]: 4.74e-06 [py_interpret_to_execute_after_opt_a]: 1.93e-05 [rewriter_after_opt_a]: 0.00044489 [convert_after_rewriter]: 1.71e-05 [order_py_execute_after_rewriter]: 5.34998e-06 [mutable_eliminate]: 0.127809 [jit_opt_b]: 0.00010924, [1] [Cycle 1]: 9.515e-05, [2] [frontend_op_eliminate]: 4.721e-05 [inline_after_opt_a]: 2.316e-05 [cconv]: 4.46e-05 [loop_unroll]: 0.00084444 [jit_opt_after_cconv]: 0.00019202, [1] [Cycle 1]: 0.00018283, [11] [c_1]: 1.752e-05 [parameter_eliminate]: 6.88e-06 [updatestate_depend_eliminate]: 1.231e-05 [updatestate_assign_eliminate]: 3.00998e-06 [updatestate_loads_eliminate]: 2.78e-06 [cse]: 4.495e-05 [call_graph_tuple_transform]: 2.532e-05 [tuple_list_get_item_eliminator]: 4.30999e-06 [none_parameter_eliminate]: 1.71998e-06 [renormalize]: 5.59987e-07 [switch_simplify]: 5.17e-06 [remove_dup_value]: 1.945e-05 [partial_unused_args_eliminate]: 3.06001e-06 [environ_conv]: 6.86001e-06 [add_recomputation]: 5.199e-05 [cse_after_recomputation]: 2.374e-05, [1] [Cycle 1]: 1.713e-05, [1] [cse]: 8.77e-06 [auto_monad_reorder]: 1.542e-05 [get_jit_bprop_graph]: 2.88e-06 [rewriter_after_jit_bprop_graph]: 1.127e-05 [opt_after_jit_grad]: 0.00055686 [symbol_engine_optimizer]: 7.773e-05, [1] [Cycle 1]: 7.007e-05, [6] [build]: 5.28002e-06 [elim_shapecalc]: 7.53999e-06 [elim_not_effective]: 1.272e-05 [opt_reshape]: 5.27001e-06 [fold_const_symbol]: 6.89999e-06 [renormalize]: 4.69998e-07 [validate]: 4.498e-05 Sums bootstrap : 0.000353s : 0.04% type_inference : 0.634919s : 67.62% event_method : 0.000451s : 0.05% auto_monad : 0.000180s : 0.02% graph_reusing : 0.000011s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000068s : 0.01% rewriter_before_opt_a : 0.000173s : 0.02% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000245s : 0.03% jit_opt_a.loop_unroll : 0.000085s : 0.01% jit_opt_a.a_1 : 0.157896s : 16.82% jit_opt_a.with_stream_mark : 0.000065s : 0.01% jit_opt_a.recompute_prepare : 0.000038s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000014s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000010s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.00% jit_opt_a.parameter_eliminate : 0.000006s : 0.00% jit_opt_a.specialize_transform : 0.000023s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000019s : 0.00% jit_opt_a.accelerated_algorithm : 0.000020s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000010s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000019s : 0.00% jit_opt_a.merge_forward : 0.000014s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000006s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000053s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000035s : 0.00% jit_opt_a.meta_fg_expand : 0.002580s : 0.27% jit_opt_a.replace_old_param : 0.000099s : 0.01% jit_opt_a.inline_without_move : 0.000081s : 0.01% jit_opt_a.renormalize : 0.011247s : 1.20% jit_opt_a.add_forward_monad_depend : 0.000014s : 0.00% jit_opt_a.auto_monad_grad : 0.000006s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000029s : 0.00% jit_opt_a.cse : 0.000057s : 0.01% jit_opt_a.replace_applicator : 0.000030s : 0.00% py_interpret_to_execute_after_opt_a : 0.000019s : 0.00% rewriter_after_opt_a : 0.000445s : 0.05% convert_after_rewriter : 0.000017s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.127809s : 13.61% jit_opt_b.frontend_op_eliminate : 0.000047s : 0.01% jit_opt_b.inline_after_opt_a : 0.000023s : 0.00% cconv : 0.000045s : 0.00% loop_unroll : 0.000844s : 0.09% jit_opt_after_cconv.c_1 : 0.000018s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000012s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000045s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000025s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000004s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000005s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000007s : 0.00% add_recomputation : 0.000052s : 0.01% cse_after_recomputation.cse : 0.000009s : 0.00% auto_monad_reorder : 0.000015s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000011s : 0.00% opt_after_jit_grad : 0.000557s : 0.06% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000008s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000013s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000005s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000007s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000045s : 0.00% Time group info: ------[substitution.] 0.000642 69 0.32% : 0.000002s : 1: substitution.elim_not_effective 0.19% : 0.000001s : 1: substitution.fold_const_symbol 0.87% : 0.000006s : 1: substitution.graph_param_transform 75.79% : 0.000486s : 14: substitution.inline 4.14% : 0.000027s : 2: substitution.inline_without_move 1.29% : 0.000008s : 9: substitution.j_node_and_user_rematch 0.72% : 0.000005s : 2: substitution.minmaximum_grad 1.37% : 0.000009s : 9: substitution.partial_eliminate 1.45% : 0.000009s : 9: substitution.remove_not_recompute_node 1.21% : 0.000008s : 1: substitution.replace_applicator 1.30% : 0.000008s : 7: substitution.replace_old_param 2.27% : 0.000015s : 2: substitution.reshape_eliminate 0.72% : 0.000005s : 1: substitution.set_cell_output_no_recompute 2.46% : 0.000016s : 3: substitution.switch_simplify 1.60% : 0.000010s : 2: substitution.tuple_list_convert_item_index_to_positive 0.99% : 0.000006s : 2: substitution.tuple_list_get_item_depend_reorder 3.31% : 0.000021s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.634769 2 99.38% : 0.630843s : 1: type_inference.infer 0.62% : 0.003926s : 1: type_inference.specialize ------[replace.] 0.000227 18 59.92% : 0.000136s : 14: replace.inline 35.32% : 0.000080s : 3: replace.switch_simplify 4.76% : 0.000011s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000501 18 95.35% : 0.000478s : 14: match.inline 2.86% : 0.000014s : 3: match.switch_simplify 1.79% : 0.000009s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000303 1710 1.63% : 0.000005s : 29: predicate.accumulaten_eliminater 0.47% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.11% : 0.000003s : 29: predicate.addn_check_dump 1.47% : 0.000004s : 29: predicate.addn_zero_filter 1.78% : 0.000005s : 29: predicate.arithmetic_simplify 1.75% : 0.000005s : 29: predicate.cast_eliminate 0.17% : 0.000001s : 1: predicate.check_bprop_eliminate 1.17% : 0.000004s : 29: predicate.compare_switch_simplify 1.28% : 0.000004s : 29: predicate.depend_value_elim 1.24% : 0.000004s : 29: predicate.dict_get_item_const_eliminator 1.44% : 0.000004s : 29: predicate.dict_get_item_eliminator 1.31% : 0.000004s : 29: predicate.dict_set_item_eliminator 0.42% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.07% : 0.000000s : 1: predicate.elim_not_effective 0.15% : 0.000000s : 1: predicate.elim_shapecalc_of_broadcastargs 1.73% : 0.000005s : 29: predicate.environ_add_const_eliminate 1.22% : 0.000004s : 29: predicate.environ_get_add_eliminate 1.23% : 0.000004s : 29: predicate.environ_get_depend_swap 1.70% : 0.000005s : 29: predicate.environ_get_eliminate 1.16% : 0.000004s : 29: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 1: predicate.fold_const_symbol 0.79% : 0.000002s : 14: predicate.get_grad_eliminate 0.06% : 0.000000s : 1: predicate.graph_param_transform 5.22% : 0.000016s : 46: predicate.inline 2.51% : 0.000008s : 38: predicate.inline_without_move 0.35% : 0.000001s : 14: predicate.j_node_and_user_rematch 1.09% : 0.000003s : 14: predicate.less_batch_normalization 1.48% : 0.000004s : 30: predicate.list_to_tuple_eliminator_ 1.53% : 0.000005s : 31: predicate.load_eliminater 0.86% : 0.000003s : 1: predicate.loop_unroll_after_grad 3.68% : 0.000011s : 78: predicate.loop_unroll_before_grad 2.36% : 0.000007s : 30: predicate.make_slice_get_slice_eliminator 1.23% : 0.000004s : 29: predicate.merge_addn 1.22% : 0.000004s : 29: predicate.minmaximum_grad 0.98% : 0.000003s : 1: predicate.mutable_eliminate 0.14% : 0.000000s : 1: predicate.opt_reshape 1.88% : 0.000006s : 31: predicate.partial_eliminate 1.40% : 0.000004s : 29: predicate.print_const_string_wrapper 1.79% : 0.000005s : 29: predicate.reduce_eliminate 1.80% : 0.000005s : 30: predicate.redundant_stop_gradient_eliminater 0.45% : 0.000001s : 14: predicate.remove_not_recompute_node 1.57% : 0.000005s : 32: predicate.replace_applicator 1.31% : 0.000004s : 38: predicate.replace_old_param 0.33% : 0.000001s : 1: predicate.reset_defer_inline 1.62% : 0.000005s : 29: predicate.reshape_eliminate 1.32% : 0.000004s : 29: predicate.row_tensor_add_zeros_like 0.87% : 0.000003s : 1: predicate.row_tensor_eliminate 1.58% : 0.000005s : 29: predicate.same_eliminate 0.47% : 0.000001s : 14: predicate.set_cell_output_no_recompute 0.36% : 0.000001s : 2: predicate.special_op_eliminate 0.89% : 0.000003s : 14: predicate.specialize_transform 1.56% : 0.000005s : 29: predicate.split_environ_get_set_with_tuple_value 1.30% : 0.000004s : 29: predicate.stack_unstack_eliminate 0.07% : 0.000000s : 1: predicate.switch_call_monad_eliminater 3.38% : 0.000010s : 44: predicate.switch_defer_inline 2.65% : 0.000008s : 44: predicate.switch_layer_defer_inline 7.26% : 0.000022s : 129: predicate.switch_simplify 1.26% : 0.000004s : 29: predicate.tile_eliminate 1.44% : 0.000004s : 29: predicate.transpose_eliminate 1.61% : 0.000005s : 29: predicate.tuple_list_convert_item_index_to_positive 1.50% : 0.000005s : 29: predicate.tuple_list_get_item_depend_reorder 2.96% : 0.000009s : 32: predicate.tuple_list_get_item_eliminator 2.25% : 0.000007s : 29: predicate.tuple_list_set_item_eliminator 1.54% : 0.000005s : 30: predicate.tuple_to_list_eliminator_ 1.42% : 0.000004s : 31: predicate.updatestate_pure_node_eliminater 2.30% : 0.000007s : 45: predicate.updatestate_useless_node_eliminater 1.90% : 0.000006s : 29: predicate.value_based_eliminate 0.08% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 1.84% : 0.000006s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.004152 41 82.56% : 0.003428s : 24: func_graph_cloner_run.FuncGraphClonerGraph 17.44% : 0.000724s : 17: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.113863 72 0.01% : 0.000056s : 1: add_recomputation 0.02% : 0.000189s : 1: auto_monad 0.00% : 0.000018s : 1: auto_monad_reorder 0.03% : 0.000384s : 1: bootstrap 0.00% : 0.000048s : 1: cconv 0.00% : 0.000021s : 1: convert_after_rewriter 0.00% : 0.000026s : 1: cse_after_recomputation 0.00% : 0.000010s : 1: environ_conv 0.04% : 0.000463s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000014s : 1: graph_reusing 15.91% : 0.177231s : 1: jit_opt_a 0.02% : 0.000196s : 1: jit_opt_after_cconv 0.01% : 0.000115s : 1: jit_opt_b 0.08% : 0.000859s : 1: loop_unroll 11.48% : 0.127835s : 1: mutable_eliminate 14.24% : 0.158592s : 26: opt.transform.jit_opt_a 0.00% : 0.000048s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000053s : 4: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000022s : 1: opt.transform.mutable_eliminate 0.00% : 0.000021s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000028s : 4: opt.transform.symbol_engine_opt 0.05% : 0.000571s : 1: opt_after_jit_grad 0.00% : 0.000008s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000007s : 1: pre_auto_parallel 0.01% : 0.000073s : 1: py_interpret_to_execute 0.00% : 0.000022s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000023s : 1: remove_dup_value 0.93% : 0.010348s : 1: renormalize.infer 0.08% : 0.000880s : 1: renormalize.specialize 0.00% : 0.000014s : 1: rewriter_after_jit_bprop_graph 0.04% : 0.000454s : 1: rewriter_after_opt_a 0.02% : 0.000177s : 1: rewriter_before_opt_a 0.01% : 0.000081s : 1: symbol_engine_optimizer 57.00% : 0.634942s : 1: type_inference TotalTime = 0.80768, [30] [bootstrap]: 0.00030055 [type_inference]: 0.722311 [event_method]: 2.242e-05 [auto_monad]: 7.712e-05 [graph_reusing]: 6.24001e-06 [pre_auto_parallel]: 3.5e-06 [py_interpret_to_execute]: 0.00034097 [rewriter_before_opt_a]: 8.969e-05 [expand_dump_flag]: 3.84002e-06 [jit_opt_a]: 0.080909, [2] [Cycle 1]: 0.0042539, [27] [switch_simplify]: 7.537e-05 [loop_unroll]: 3.528e-05 [a_1]: 0.00071483 [with_stream_mark]: 3.023e-05 [recompute_prepare]: 1.328e-05 [updatestate_depend_eliminate]: 5.17e-06 [updatestate_assign_eliminate]: 3.89002e-06 [updatestate_loads_eliminate]: 3.39001e-06 [parameter_eliminate]: 2.12999e-06 [specialize_transform]: 1.018e-05 [updatestate_useless_node_eliminater]: 8.34998e-06 [accelerated_algorithm]: 7.66001e-06 [meta_shard_fg_expand]: 2.61999e-06 [get_grad_eliminate_]: 7.46001e-06 [merge_forward]: 4.83001e-06 [cell_reuse_recompute_pass]: 1.87001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.187e-05 [j_node_and_user_rematch]: 1.101e-05 [meta_fg_expand]: 2.77002e-06 [replace_old_param]: 1.232e-05 [inline_without_move]: 7.85998e-06 [renormalize]: 0.00291457 [add_forward_monad_depend]: 1.177e-05 [auto_monad_grad]: 2.86999e-06 [auto_monad_eliminator]: 2.503e-05 [cse]: 3.941e-05 [replace_applicator]: 2.691e-05 [Cycle 2]: 0.00048087, [27] [switch_simplify]: 8.79e-06 [loop_unroll]: 7.28e-06 [a_1]: 0.00016152 [with_stream_mark]: 2.062e-05 [recompute_prepare]: 7.26999e-06 [updatestate_depend_eliminate]: 4.1e-06 [updatestate_assign_eliminate]: 3.85e-06 [updatestate_loads_eliminate]: 3.03998e-06 [parameter_eliminate]: 2.04e-06 [specialize_transform]: 7.51999e-06 [updatestate_useless_node_eliminater]: 6.64001e-06 [accelerated_algorithm]: 7.6e-06 [meta_shard_fg_expand]: 2.80002e-06 [get_grad_eliminate_]: 6.64001e-06 [merge_forward]: 4.85001e-06 [cell_reuse_recompute_pass]: 4.76002e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.89e-05 [j_node_and_user_rematch]: 1.121e-05 [meta_fg_expand]: 2.93e-06 [replace_old_param]: 1.126e-05 [inline_without_move]: 7.10002e-06 [renormalize]: 1.00001e-07 [add_forward_monad_depend]: 2.16e-06 [auto_monad_grad]: 1.59998e-06 [auto_monad_eliminator]: 7.87e-06 [cse]: 1.774e-05 [replace_applicator]: 7.7e-06 [py_interpret_to_execute_after_opt_a]: 2.136e-05 [rewriter_after_opt_a]: 4.934e-05 [convert_after_rewriter]: 9.54e-06 [order_py_execute_after_rewriter]: 5.80002e-06 [mutable_eliminate]: 0.00089818 [jit_opt_b]: 7.151e-05, [1] [Cycle 1]: 6.099e-05, [2] [frontend_op_eliminate]: 2.347e-05 [inline_after_opt_a]: 2.165e-05 [cconv]: 3.912e-05 [loop_unroll]: 0.00059642 [jit_opt_after_cconv]: 0.00021503, [1] [Cycle 1]: 0.00020645, [11] [c_1]: 3.04e-05 [parameter_eliminate]: 7e-06 [updatestate_depend_eliminate]: 1.155e-05 [updatestate_assign_eliminate]: 4.58001e-06 [updatestate_loads_eliminate]: 2.71999e-06 [cse]: 4.313e-05 [call_graph_tuple_transform]: 3.104e-05 [tuple_list_get_item_eliminator]: 8.64e-06 [none_parameter_eliminate]: 1.88002e-06 [renormalize]: 5.40022e-07 [switch_simplify]: 7.5e-06 [remove_dup_value]: 1.896e-05 [partial_unused_args_eliminate]: 2.49999e-06 [environ_conv]: 1.277e-05 [add_recomputation]: 6.654e-05 [cse_after_recomputation]: 3.064e-05, [1] [Cycle 1]: 2.255e-05, [1] [cse]: 1.454e-05 [auto_monad_reorder]: 1.902e-05 [get_jit_bprop_graph]: 2.23998e-06 [rewriter_after_jit_bprop_graph]: 1.117e-05 [opt_after_jit_grad]: 0.00068295 [symbol_engine_optimizer]: 0.00040126, [1] [Cycle 1]: 0.00038773, [6] [build]: 5.86998e-06 [elim_shapecalc]: 1.015e-05 [elim_not_effective]: 1.806e-05 [opt_reshape]: 1.146e-05 [fold_const_symbol]: 1.025e-05 [renormalize]: 5.79981e-07 [validate]: 0.00016652 Sums bootstrap : 0.000301s : 0.04% type_inference : 0.722311s : 98.90% event_method : 0.000022s : 0.00% auto_monad : 0.000077s : 0.01% graph_reusing : 0.000006s : 0.00% pre_auto_parallel : 0.000003s : 0.00% py_interpret_to_execute : 0.000341s : 0.05% rewriter_before_opt_a : 0.000090s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000084s : 0.01% jit_opt_a.loop_unroll : 0.000043s : 0.01% jit_opt_a.a_1 : 0.000876s : 0.12% jit_opt_a.with_stream_mark : 0.000051s : 0.01% jit_opt_a.recompute_prepare : 0.000021s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000008s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000006s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000018s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000015s : 0.00% jit_opt_a.accelerated_algorithm : 0.000015s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000014s : 0.00% jit_opt_a.merge_forward : 0.000010s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000007s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000041s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000022s : 0.00% jit_opt_a.meta_fg_expand : 0.000006s : 0.00% jit_opt_a.replace_old_param : 0.000024s : 0.00% jit_opt_a.inline_without_move : 0.000015s : 0.00% jit_opt_a.renormalize : 0.002915s : 0.40% jit_opt_a.add_forward_monad_depend : 0.000014s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000033s : 0.00% jit_opt_a.cse : 0.000057s : 0.01% jit_opt_a.replace_applicator : 0.000035s : 0.00% py_interpret_to_execute_after_opt_a : 0.000021s : 0.00% rewriter_after_opt_a : 0.000049s : 0.01% convert_after_rewriter : 0.000010s : 0.00% order_py_execute_after_rewriter : 0.000006s : 0.00% mutable_eliminate : 0.000898s : 0.12% jit_opt_b.frontend_op_eliminate : 0.000023s : 0.00% jit_opt_b.inline_after_opt_a : 0.000022s : 0.00% cconv : 0.000039s : 0.01% loop_unroll : 0.000596s : 0.08% jit_opt_after_cconv.c_1 : 0.000030s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000007s : 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 : 0.000043s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000031s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000009s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000007s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000013s : 0.00% add_recomputation : 0.000067s : 0.01% cse_after_recomputation.cse : 0.000015s : 0.00% auto_monad_reorder : 0.000019s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000011s : 0.00% opt_after_jit_grad : 0.000683s : 0.09% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000010s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000018s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000011s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000010s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000167s : 0.02% Time group info: ------[substitution.] 0.000294 28 0.69% : 0.000002s : 2: substitution.elim_not_effective 0.49% : 0.000001s : 2: substitution.fold_const_symbol 2.77% : 0.000008s : 4: substitution.graph_param_transform 76.43% : 0.000225s : 5: substitution.inline 1.55% : 0.000005s : 4: substitution.j_node_and_user_rematch 0.76% : 0.000002s : 1: substitution.opt_reshape 2.33% : 0.000007s : 4: substitution.remove_not_recompute_node 2.56% : 0.000008s : 2: substitution.replace_old_param 9.35% : 0.000028s : 3: substitution.reshape_eliminate 3.08% : 0.000009s : 1: substitution.tuple_list_get_item_eliminator ------[type_inference.] 0.722221 2 99.74% : 0.720310s : 1: type_inference.infer 0.26% : 0.001911s : 1: type_inference.specialize ------[replace.] 0.000069 6 83.17% : 0.000058s : 5: replace.inline 16.83% : 0.000012s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000230 6 96.34% : 0.000222s : 5: match.inline 3.66% : 0.000008s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000172 867 1.46% : 0.000003s : 13: predicate.accumulaten_eliminater 1.49% : 0.000003s : 4: predicate.ad_related_special_op_eliminate 0.97% : 0.000002s : 13: predicate.addn_check_dump 1.41% : 0.000002s : 13: predicate.addn_zero_filter 2.01% : 0.000003s : 13: predicate.arithmetic_simplify 1.47% : 0.000003s : 13: predicate.cast_eliminate 0.47% : 0.000001s : 4: predicate.check_bprop_eliminate 1.09% : 0.000002s : 13: predicate.compare_switch_simplify 1.16% : 0.000002s : 13: predicate.depend_value_elim 1.03% : 0.000002s : 13: predicate.dict_get_item_const_eliminator 1.49% : 0.000003s : 13: predicate.dict_get_item_eliminator 1.08% : 0.000002s : 13: predicate.dict_set_item_eliminator 0.91% : 0.000002s : 4: predicate.dumpgradient_eliminate 0.31% : 0.000001s : 4: predicate.elim_not_effective 0.75% : 0.000001s : 4: predicate.elim_shapecalc_of_broadcastargs 1.20% : 0.000002s : 13: predicate.environ_add_const_eliminate 1.23% : 0.000002s : 13: predicate.environ_get_add_eliminate 1.09% : 0.000002s : 13: predicate.environ_get_depend_swap 1.69% : 0.000003s : 13: predicate.environ_get_eliminate 1.00% : 0.000002s : 13: predicate.environ_get_set_eliminate 0.24% : 0.000000s : 4: predicate.fold_const_symbol 1.40% : 0.000002s : 8: predicate.get_grad_eliminate 0.23% : 0.000000s : 4: predicate.graph_param_transform 5.42% : 0.000009s : 27: predicate.inline 1.27% : 0.000002s : 8: predicate.inline_without_move 0.39% : 0.000001s : 8: predicate.j_node_and_user_rematch 1.78% : 0.000003s : 8: predicate.less_batch_normalization 1.78% : 0.000003s : 14: predicate.list_to_tuple_eliminator_ 1.61% : 0.000003s : 18: predicate.load_eliminater 2.10% : 0.000004s : 4: predicate.loop_unroll_after_grad 3.51% : 0.000006s : 37: predicate.loop_unroll_before_grad 1.82% : 0.000003s : 17: predicate.make_slice_get_slice_eliminator 0.98% : 0.000002s : 13: predicate.merge_addn 1.03% : 0.000002s : 13: predicate.minmaximum_grad 2.35% : 0.000004s : 4: predicate.mutable_eliminate 0.62% : 0.000001s : 4: predicate.opt_reshape 1.91% : 0.000003s : 18: predicate.partial_eliminate 1.09% : 0.000002s : 13: predicate.print_const_string_wrapper 1.65% : 0.000003s : 13: predicate.reduce_eliminate 1.19% : 0.000002s : 14: predicate.redundant_stop_gradient_eliminater 0.66% : 0.000001s : 8: predicate.remove_not_recompute_node 1.59% : 0.000003s : 22: predicate.replace_applicator 0.46% : 0.000001s : 8: predicate.replace_old_param 0.33% : 0.000001s : 4: predicate.reset_defer_inline 1.63% : 0.000003s : 13: predicate.reshape_eliminate 1.34% : 0.000002s : 13: predicate.row_tensor_add_zeros_like 0.84% : 0.000001s : 4: predicate.row_tensor_eliminate 1.15% : 0.000002s : 13: predicate.same_eliminate 0.50% : 0.000001s : 8: predicate.set_cell_output_no_recompute 0.86% : 0.000001s : 8: predicate.special_op_eliminate 1.28% : 0.000002s : 8: predicate.specialize_transform 1.33% : 0.000002s : 13: predicate.split_environ_get_set_with_tuple_value 1.19% : 0.000002s : 13: predicate.stack_unstack_eliminate 0.51% : 0.000001s : 4: predicate.switch_call_monad_eliminater 2.15% : 0.000004s : 19: predicate.switch_defer_inline 1.67% : 0.000003s : 19: predicate.switch_layer_defer_inline 6.99% : 0.000012s : 60: predicate.switch_simplify 1.17% : 0.000002s : 13: predicate.tile_eliminate 1.41% : 0.000002s : 13: predicate.transpose_eliminate 1.30% : 0.000002s : 13: predicate.tuple_list_convert_item_index_to_positive 1.30% : 0.000002s : 13: predicate.tuple_list_get_item_depend_reorder 4.28% : 0.000007s : 22: predicate.tuple_list_get_item_eliminator 1.51% : 0.000003s : 13: predicate.tuple_list_set_item_eliminator 1.88% : 0.000003s : 14: predicate.tuple_to_list_eliminator_ 1.27% : 0.000002s : 18: predicate.updatestate_pure_node_eliminater 2.53% : 0.000004s : 26: predicate.updatestate_useless_node_eliminater 2.09% : 0.000004s : 13: predicate.value_based_eliminate 0.34% : 0.000001s : 4: predicate.virtual_view_grad_eliminate 0.76% : 0.000001s : 4: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.002824 23 69.76% : 0.001970s : 16: func_graph_cloner_run.FuncGraphClonerGraph 30.24% : 0.000854s : 7: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.811754 72 0.01% : 0.000071s : 1: add_recomputation 0.01% : 0.000081s : 1: auto_monad 0.00% : 0.000022s : 1: auto_monad_reorder 0.04% : 0.000325s : 1: bootstrap 0.01% : 0.000042s : 1: cconv 0.00% : 0.000012s : 1: convert_after_rewriter 0.00% : 0.000033s : 1: cse_after_recomputation 0.00% : 0.000017s : 1: environ_conv 0.00% : 0.000028s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000004s : 1: get_jit_bprop_graph 0.00% : 0.000035s : 1: graph_reusing 9.97% : 0.080913s : 1: jit_opt_a 0.03% : 0.000221s : 1: jit_opt_after_cconv 0.01% : 0.000076s : 1: jit_opt_b 0.08% : 0.000613s : 1: loop_unroll 0.11% : 0.000916s : 1: mutable_eliminate 0.15% : 0.001179s : 26: opt.transform.jit_opt_a 0.01% : 0.000073s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000036s : 4: opt.transform.jit_opt_b 0.00% : 0.000022s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000026s : 1: opt.transform.mutable_eliminate 0.00% : 0.000034s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.000047s : 4: opt.transform.symbol_engine_opt 0.09% : 0.000700s : 1: opt_after_jit_grad 0.00% : 0.000008s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.04% : 0.000348s : 1: py_interpret_to_execute 0.00% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000021s : 1: remove_dup_value 0.23% : 0.001844s : 1: renormalize.infer 0.13% : 0.001056s : 1: renormalize.specialize 0.00% : 0.000013s : 1: rewriter_after_jit_bprop_graph 0.01% : 0.000054s : 1: rewriter_after_opt_a 0.01% : 0.000095s : 1: rewriter_before_opt_a 0.05% : 0.000405s : 1: symbol_engine_optimizer 88.99% : 0.722340s : 1: type_inference TotalTime = 1.25248, [30] [bootstrap]: 0.00051844 [type_inference]: 1.01773 [event_method]: 0.00059701 [auto_monad]: 0.00021174 [graph_reusing]: 1.189e-05 [pre_auto_parallel]: 4.17998e-06 [py_interpret_to_execute]: 8.166e-05 [rewriter_before_opt_a]: 0.00020352 [expand_dump_flag]: 5.10999e-06 [jit_opt_a]: 0.229761, [2] [Cycle 1]: 0.224641, [27] [switch_simplify]: 0.00032527 [loop_unroll]: 7.43e-05 [a_1]: 0.00169354 [with_stream_mark]: 4.175e-05 [recompute_prepare]: 3.108e-05 [updatestate_depend_eliminate]: 1.035e-05 [updatestate_assign_eliminate]: 7.95998e-06 [updatestate_loads_eliminate]: 7.82e-06 [parameter_eliminate]: 3.02002e-06 [specialize_transform]: 1.762e-05 [updatestate_useless_node_eliminater]: 1.573e-05 [accelerated_algorithm]: 1.734e-05 [meta_shard_fg_expand]: 6.11e-06 [get_grad_eliminate_]: 1.671e-05 [merge_forward]: 1.077e-05 [cell_reuse_recompute_pass]: 1.15001e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.371e-05 [j_node_and_user_rematch]: 2.928e-05 [meta_fg_expand]: 0.206906 [replace_old_param]: 9.535e-05 [inline_without_move]: 8.285e-05 [renormalize]: 0.0147615 [add_forward_monad_depend]: 1.01e-05 [auto_monad_grad]: 2.83e-06 [auto_monad_eliminator]: 2.253e-05 [cse]: 3.642e-05 [replace_applicator]: 2.459e-05 [Cycle 2]: 0.00060776, [27] [switch_simplify]: 6.71e-06 [loop_unroll]: 4.84998e-06 [a_1]: 5.9e-05 [with_stream_mark]: 2.032e-05 [recompute_prepare]: 5.29998e-06 [updatestate_depend_eliminate]: 3.84002e-06 [updatestate_assign_eliminate]: 2.93e-06 [updatestate_loads_eliminate]: 2.37999e-06 [parameter_eliminate]: 1.99e-06 [specialize_transform]: 4.32e-06 [updatestate_useless_node_eliminater]: 3.96001e-06 [accelerated_algorithm]: 4.55999e-06 [meta_shard_fg_expand]: 1.94e-06 [get_grad_eliminate_]: 4.09002e-06 [merge_forward]: 3.9e-06 [cell_reuse_recompute_pass]: 4.33999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.122e-05 [j_node_and_user_rematch]: 7.70998e-06 [meta_fg_expand]: 0.00025638 [replace_old_param]: 9.34e-06 [inline_without_move]: 4.32e-06 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 3.31999e-06 [auto_monad_grad]: 1.46998e-06 [auto_monad_eliminator]: 8.00999e-06 [cse]: 1.717e-05 [replace_applicator]: 5.19e-06 [py_interpret_to_execute_after_opt_a]: 2.023e-05 [rewriter_after_opt_a]: 0.00047496 [convert_after_rewriter]: 1.465e-05 [order_py_execute_after_rewriter]: 5.46e-06 [mutable_eliminate]: 0.00083686 [jit_opt_b]: 5.926e-05, [1] [Cycle 1]: 4.843e-05, [2] [frontend_op_eliminate]: 1.467e-05 [inline_after_opt_a]: 1.839e-05 [cconv]: 4.092e-05 [loop_unroll]: 0.00054252 [jit_opt_after_cconv]: 0.0001851, [1] [Cycle 1]: 0.00017595, [11] [c_1]: 1.823e-05 [parameter_eliminate]: 5.94999e-06 [updatestate_depend_eliminate]: 1.084e-05 [updatestate_assign_eliminate]: 2.84001e-06 [updatestate_loads_eliminate]: 2.59001e-06 [cse]: 3.855e-05 [call_graph_tuple_transform]: 2.292e-05 [tuple_list_get_item_eliminator]: 4.56002e-06 [none_parameter_eliminate]: 1.94e-06 [renormalize]: 6.50005e-07 [switch_simplify]: 6.09001e-06 [remove_dup_value]: 1.845e-05 [partial_unused_args_eliminate]: 2.78998e-06 [environ_conv]: 5.91998e-06 [add_recomputation]: 5.493e-05 [cse_after_recomputation]: 2.63e-05, [1] [Cycle 1]: 1.909e-05, [1] [cse]: 1.067e-05 [auto_monad_reorder]: 1.699e-05 [get_jit_bprop_graph]: 2.69001e-06 [rewriter_after_jit_bprop_graph]: 9.86e-06 [opt_after_jit_grad]: 0.00061275 [symbol_engine_optimizer]: 8.636e-05, [1] [Cycle 1]: 7.797e-05, [6] [build]: 5.62999e-06 [elim_shapecalc]: 9.25999e-06 [elim_not_effective]: 1.378e-05 [opt_reshape]: 6.01e-06 [fold_const_symbol]: 8.35001e-06 [renormalize]: 5.20027e-07 [validate]: 4.379e-05 Sums bootstrap : 0.000518s : 0.04% type_inference : 1.017731s : 81.61% event_method : 0.000597s : 0.05% auto_monad : 0.000212s : 0.02% graph_reusing : 0.000012s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000082s : 0.01% rewriter_before_opt_a : 0.000204s : 0.02% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000332s : 0.03% jit_opt_a.loop_unroll : 0.000079s : 0.01% jit_opt_a.a_1 : 0.001753s : 0.14% jit_opt_a.with_stream_mark : 0.000062s : 0.00% jit_opt_a.recompute_prepare : 0.000036s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000014s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000011s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000010s : 0.00% jit_opt_a.parameter_eliminate : 0.000005s : 0.00% jit_opt_a.specialize_transform : 0.000022s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000020s : 0.00% jit_opt_a.accelerated_algorithm : 0.000022s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000008s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000021s : 0.00% jit_opt_a.merge_forward : 0.000015s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000055s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000037s : 0.00% jit_opt_a.meta_fg_expand : 0.207162s : 16.61% jit_opt_a.replace_old_param : 0.000105s : 0.01% jit_opt_a.inline_without_move : 0.000087s : 0.01% jit_opt_a.renormalize : 0.014762s : 1.18% jit_opt_a.add_forward_monad_depend : 0.000013s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000031s : 0.00% jit_opt_a.cse : 0.000054s : 0.00% jit_opt_a.replace_applicator : 0.000030s : 0.00% py_interpret_to_execute_after_opt_a : 0.000020s : 0.00% rewriter_after_opt_a : 0.000475s : 0.04% convert_after_rewriter : 0.000015s : 0.00% order_py_execute_after_rewriter : 0.000005s : 0.00% mutable_eliminate : 0.000837s : 0.07% jit_opt_b.frontend_op_eliminate : 0.000015s : 0.00% jit_opt_b.inline_after_opt_a : 0.000018s : 0.00% cconv : 0.000041s : 0.00% loop_unroll : 0.000543s : 0.04% jit_opt_after_cconv.c_1 : 0.000018s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000011s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.cse : 0.000039s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000023s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000005s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000006s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000006s : 0.00% add_recomputation : 0.000055s : 0.00% cse_after_recomputation.cse : 0.000011s : 0.00% auto_monad_reorder : 0.000017s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000010s : 0.00% opt_after_jit_grad : 0.000613s : 0.05% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000009s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000014s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000006s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000008s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000044s : 0.00% Time group info: ------[substitution.] 0.000596 69 0.30% : 0.000002s : 1: substitution.elim_not_effective 0.25% : 0.000001s : 1: substitution.fold_const_symbol 0.87% : 0.000005s : 1: substitution.graph_param_transform 73.83% : 0.000440s : 14: substitution.inline 5.89% : 0.000035s : 2: substitution.inline_without_move 1.66% : 0.000010s : 9: substitution.j_node_and_user_rematch 0.77% : 0.000005s : 2: substitution.minmaximum_grad 1.69% : 0.000010s : 9: substitution.partial_eliminate 1.48% : 0.000009s : 9: substitution.remove_not_recompute_node 0.58% : 0.000003s : 1: substitution.replace_applicator 1.31% : 0.000008s : 7: substitution.replace_old_param 1.91% : 0.000011s : 2: substitution.reshape_eliminate 0.72% : 0.000004s : 1: substitution.set_cell_output_no_recompute 3.03% : 0.000018s : 3: substitution.switch_simplify 1.79% : 0.000011s : 2: substitution.tuple_list_convert_item_index_to_positive 1.09% : 0.000006s : 2: substitution.tuple_list_get_item_depend_reorder 2.83% : 0.000017s : 3: substitution.tuple_list_get_item_eliminator ------[type_inference.] 1.017533 2 99.49% : 1.012390s : 1: type_inference.infer 0.51% : 0.005143s : 1: type_inference.specialize ------[replace.] 0.000250 18 57.42% : 0.000144s : 14: replace.inline 36.30% : 0.000091s : 3: replace.switch_simplify 6.28% : 0.000016s : 1: replace.tuple_list_get_item_eliminator ------[match.] 0.000453 18 95.29% : 0.000432s : 14: match.inline 3.66% : 0.000017s : 3: match.switch_simplify 1.05% : 0.000005s : 1: match.tuple_list_get_item_eliminator ------[predicate.] 0.000333 1710 1.28% : 0.000004s : 29: predicate.accumulaten_eliminater 0.39% : 0.000001s : 1: predicate.ad_related_special_op_eliminate 1.60% : 0.000005s : 29: predicate.addn_check_dump 1.29% : 0.000004s : 29: predicate.addn_zero_filter 1.63% : 0.000005s : 29: predicate.arithmetic_simplify 1.58% : 0.000005s : 29: predicate.cast_eliminate 0.12% : 0.000000s : 1: predicate.check_bprop_eliminate 1.05% : 0.000004s : 29: predicate.compare_switch_simplify 1.05% : 0.000003s : 29: predicate.depend_value_elim 1.06% : 0.000004s : 29: predicate.dict_get_item_const_eliminator 1.28% : 0.000004s : 29: predicate.dict_get_item_eliminator 1.37% : 0.000005s : 29: predicate.dict_set_item_eliminator 0.34% : 0.000001s : 1: predicate.dumpgradient_eliminate 0.12% : 0.000000s : 1: predicate.elim_not_effective 0.31% : 0.000001s : 1: predicate.elim_shapecalc_of_broadcastargs 1.18% : 0.000004s : 29: predicate.environ_add_const_eliminate 1.06% : 0.000004s : 29: predicate.environ_get_add_eliminate 1.05% : 0.000003s : 29: predicate.environ_get_depend_swap 1.10% : 0.000004s : 29: predicate.environ_get_eliminate 1.07% : 0.000004s : 29: predicate.environ_get_set_eliminate 0.04% : 0.000000s : 1: predicate.fold_const_symbol 0.91% : 0.000003s : 14: predicate.get_grad_eliminate 0.12% : 0.000000s : 1: predicate.graph_param_transform 3.92% : 0.000013s : 46: predicate.inline 2.17% : 0.000007s : 38: predicate.inline_without_move 0.33% : 0.000001s : 14: predicate.j_node_and_user_rematch 1.00% : 0.000003s : 14: predicate.less_batch_normalization 1.17% : 0.000004s : 30: predicate.list_to_tuple_eliminator_ 1.30% : 0.000004s : 31: predicate.load_eliminater 0.68% : 0.000002s : 1: predicate.loop_unroll_after_grad 4.48% : 0.000015s : 78: predicate.loop_unroll_before_grad 1.46% : 0.000005s : 30: predicate.make_slice_get_slice_eliminator 1.10% : 0.000004s : 29: predicate.merge_addn 1.50% : 0.000005s : 29: predicate.minmaximum_grad 0.85% : 0.000003s : 1: predicate.mutable_eliminate 0.13% : 0.000000s : 1: predicate.opt_reshape 1.63% : 0.000005s : 31: predicate.partial_eliminate 1.15% : 0.000004s : 29: predicate.print_const_string_wrapper 1.59% : 0.000005s : 29: predicate.reduce_eliminate 1.18% : 0.000004s : 30: predicate.redundant_stop_gradient_eliminater 0.42% : 0.000001s : 14: predicate.remove_not_recompute_node 1.23% : 0.000004s : 32: predicate.replace_applicator 1.21% : 0.000004s : 38: predicate.replace_old_param 0.23% : 0.000001s : 1: predicate.reset_defer_inline 1.33% : 0.000004s : 29: predicate.reshape_eliminate 1.19% : 0.000004s : 29: predicate.row_tensor_add_zeros_like 0.44% : 0.000001s : 1: predicate.row_tensor_eliminate 1.16% : 0.000004s : 29: predicate.same_eliminate 0.40% : 0.000001s : 14: predicate.set_cell_output_no_recompute 0.26% : 0.000001s : 2: predicate.special_op_eliminate 0.73% : 0.000002s : 14: predicate.specialize_transform 1.36% : 0.000005s : 29: predicate.split_environ_get_set_with_tuple_value 1.19% : 0.000004s : 29: predicate.stack_unstack_eliminate 0.08% : 0.000000s : 1: predicate.switch_call_monad_eliminater 3.00% : 0.000010s : 44: predicate.switch_defer_inline 2.01% : 0.000007s : 44: predicate.switch_layer_defer_inline 21.19% : 0.000071s : 129: predicate.switch_simplify 1.17% : 0.000004s : 29: predicate.tile_eliminate 1.24% : 0.000004s : 29: predicate.transpose_eliminate 1.36% : 0.000005s : 29: predicate.tuple_list_convert_item_index_to_positive 1.27% : 0.000004s : 29: predicate.tuple_list_get_item_depend_reorder 2.70% : 0.000009s : 32: predicate.tuple_list_get_item_eliminator 1.74% : 0.000006s : 29: predicate.tuple_list_set_item_eliminator 1.28% : 0.000004s : 30: predicate.tuple_to_list_eliminator_ 1.20% : 0.000004s : 31: predicate.updatestate_pure_node_eliminater 2.24% : 0.000007s : 45: predicate.updatestate_useless_node_eliminater 1.46% : 0.000005s : 29: predicate.value_based_eliminate 0.05% : 0.000000s : 1: predicate.virtual_view_grad_eliminate 0.26% : 0.000001s : 1: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.209541 47 99.56% : 0.208612s : 30: func_graph_cloner_run.FuncGraphClonerGraph 0.44% : 0.000929s : 17: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.269807 72 0.00% : 0.000059s : 1: add_recomputation 0.02% : 0.000224s : 1: auto_monad 0.00% : 0.000021s : 1: auto_monad_reorder 0.04% : 0.000549s : 1: bootstrap 0.00% : 0.000044s : 1: cconv 0.00% : 0.000019s : 1: convert_after_rewriter 0.00% : 0.000029s : 1: cse_after_recomputation 0.00% : 0.000008s : 1: environ_conv 0.05% : 0.000611s : 1: event_method 0.00% : 0.000008s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.00% : 0.000015s : 1: graph_reusing 18.09% : 0.229766s : 1: jit_opt_a 0.01% : 0.000189s : 1: jit_opt_after_cconv 0.00% : 0.000063s : 1: jit_opt_b 0.04% : 0.000557s : 1: loop_unroll 0.07% : 0.000852s : 1: mutable_eliminate 0.20% : 0.002546s : 26: opt.transform.jit_opt_a 0.00% : 0.000046s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000023s : 4: opt.transform.jit_opt_b 0.00% : 0.000017s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000021s : 1: opt.transform.mutable_eliminate 0.00% : 0.000024s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000033s : 4: opt.transform.symbol_engine_opt 0.05% : 0.000628s : 1: opt_after_jit_grad 0.00% : 0.000008s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000007s : 1: pre_auto_parallel 0.01% : 0.000086s : 1: py_interpret_to_execute 0.00% : 0.000023s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 1.07% : 0.013610s : 1: renormalize.infer 0.09% : 0.001133s : 1: renormalize.specialize 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.04% : 0.000485s : 1: rewriter_after_opt_a 0.02% : 0.000209s : 1: rewriter_before_opt_a 0.01% : 0.000090s : 1: symbol_engine_optimizer 80.15% : 1.017762s : 1: type_inference . [hook] pytest_runtest_teardown:test_reshape_empty_tensor[KBK] tests/st/mint/test_reshape.py::test_reshape_empty_tensor[KBK],max_mem:4.0M =============================== warnings summary =============================== ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222: DeprecationWarning: invalid escape sequence \B """ ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170: DeprecationWarning: invalid escape sequence \c """ ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perlayer") -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 2 passed, 25 warnings in 320.38s (0:05:20) ==================