==================================================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_007/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_permute.py . [hook] pytest_runtest_teardown:test_permute_std[pynative] tests/st/mint/test_permute.py::test_permute_std[pynative],max_mem:2.0M TotalTime = 1.54311, [30] [bootstrap]: 0.00184218 [type_inference]: 1.3816 [event_method]: 1.813e-05 [auto_monad]: 0.00018522 [graph_reusing]: 7.57002e-06 [pre_auto_parallel]: 1.529e-05 [py_interpret_to_execute]: 0.00040837 [rewriter_before_opt_a]: 0.00014521 [expand_dump_flag]: 3.5e-06 [jit_opt_a]: 0.1554, [2] [Cycle 1]: 0.0562859, [27] [switch_simplify]: 6.664e-05 [loop_unroll]: 2.488e-05 [a_1]: 0.00053565 [with_stream_mark]: 3.244e-05 [recompute_prepare]: 1.133e-05 [updatestate_depend_eliminate]: 6.91001e-06 [updatestate_assign_eliminate]: 5.67999e-06 [updatestate_loads_eliminate]: 4.55999e-06 [parameter_eliminate]: 1.97001e-06 [specialize_transform]: 9.96e-06 [updatestate_useless_node_eliminater]: 1.143e-05 [accelerated_algorithm]: 9.92999e-06 [meta_shard_fg_expand]: 2.74999e-06 [get_grad_eliminate_]: 8.75001e-06 [merge_forward]: 5.87001e-06 [cell_reuse_recompute_pass]: 1.30001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.441e-05 [j_node_and_user_rematch]: 1.424e-05 [meta_fg_expand]: 3.83999e-06 [replace_old_param]: 1.42e-05 [inline_without_move]: 8.70999e-06 [renormalize]: 0.0550863 [add_forward_monad_depend]: 1.659e-05 [auto_monad_grad]: 2.52001e-06 [auto_monad_eliminator]: 3.211e-05 [cse]: 5.436e-05 [replace_applicator]: 2.96e-05 [Cycle 2]: 0.00055081, [27] [switch_simplify]: 1.083e-05 [loop_unroll]: 8.75001e-06 [a_1]: 0.0002173 [with_stream_mark]: 1.896e-05 [recompute_prepare]: 8.59e-06 [updatestate_depend_eliminate]: 5.82001e-06 [updatestate_assign_eliminate]: 5.35999e-06 [updatestate_loads_eliminate]: 4.30999e-06 [parameter_eliminate]: 1.87999e-06 [specialize_transform]: 8.89e-06 [updatestate_useless_node_eliminater]: 1.22e-05 [accelerated_algorithm]: 9.99001e-06 [meta_shard_fg_expand]: 2.68e-06 [get_grad_eliminate_]: 7.96001e-06 [merge_forward]: 5.51002e-06 [cell_reuse_recompute_pass]: 2.76999e-06 [cell_reuse_handle_not_recompute_node_pass]: 1.861e-05 [j_node_and_user_rematch]: 1.386e-05 [meta_fg_expand]: 3.34001e-06 [replace_old_param]: 1.213e-05 [inline_without_move]: 8.62e-06 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 1.49e-06 [auto_monad_grad]: 1.37999e-06 [auto_monad_eliminator]: 1.037e-05 [cse]: 1.759e-05 [replace_applicator]: 8.47998e-06 [py_interpret_to_execute_after_opt_a]: 2.021e-05 [rewriter_after_opt_a]: 0.00055206 [convert_after_rewriter]: 1.466e-05 [order_py_execute_after_rewriter]: 7.1e-06 [mutable_eliminate]: 0.00077611 [jit_opt_b]: 8.103e-05, [1] [Cycle 1]: 7.18e-05, [2] [frontend_op_eliminate]: 3.037e-05 [inline_after_opt_a]: 2.862e-05 [cconv]: 3.157e-05 [loop_unroll]: 0.00044194 [jit_opt_after_cconv]: 0.00022002, [1] [Cycle 1]: 0.00021291, [11] [c_1]: 5.205e-05 [parameter_eliminate]: 2.79001e-06 [updatestate_depend_eliminate]: 9.10999e-06 [updatestate_assign_eliminate]: 4.82e-06 [updatestate_loads_eliminate]: 4.37e-06 [cse]: 3.13e-05 [call_graph_tuple_transform]: 3.506e-05 [tuple_list_get_item_eliminator]: 8.64003e-06 [none_parameter_eliminate]: 1.51002e-06 [renormalize]: 3.30008e-07 [switch_simplify]: 9.08002e-06 [remove_dup_value]: 1.82e-05 [partial_unused_args_eliminate]: 2.49001e-06 [environ_conv]: 2.484e-05 [add_recomputation]: 7.84e-05 [cse_after_recomputation]: 3.059e-05, [1] [Cycle 1]: 2.403e-05, [1] [cse]: 1.747e-05 [auto_monad_reorder]: 3.353e-05 [get_jit_bprop_graph]: 2.44001e-06 [rewriter_after_jit_bprop_graph]: 0.00014716 [opt_after_jit_grad]: 0.00051 [symbol_engine_optimizer]: 9.779e-05, [1] [Cycle 1]: 9.136e-05, [6] [build]: 6.16998e-06 [elim_shapecalc]: 1.161e-05 [elim_not_effective]: 1.956e-05 [opt_reshape]: 9.39e-06 [fold_const_symbol]: 1.395e-05 [renormalize]: 4.40021e-07 [validate]: 7.414e-05 Sums bootstrap : 0.001842s : 0.13% type_inference : 1.381595s : 95.70% event_method : 0.000018s : 0.00% auto_monad : 0.000185s : 0.01% graph_reusing : 0.000008s : 0.00% pre_auto_parallel : 0.000015s : 0.00% py_interpret_to_execute : 0.000408s : 0.03% rewriter_before_opt_a : 0.000145s : 0.01% expand_dump_flag : 0.000003s : 0.00% jit_opt_a.switch_simplify : 0.000077s : 0.01% jit_opt_a.loop_unroll : 0.000034s : 0.00% jit_opt_a.a_1 : 0.000753s : 0.05% jit_opt_a.with_stream_mark : 0.000051s : 0.00% jit_opt_a.recompute_prepare : 0.000020s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000013s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000011s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000009s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000019s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000024s : 0.00% jit_opt_a.accelerated_algorithm : 0.000020s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000017s : 0.00% jit_opt_a.merge_forward : 0.000011s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000004s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000043s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000028s : 0.00% jit_opt_a.meta_fg_expand : 0.000007s : 0.00% jit_opt_a.replace_old_param : 0.000026s : 0.00% jit_opt_a.inline_without_move : 0.000017s : 0.00% jit_opt_a.renormalize : 0.055086s : 3.82% jit_opt_a.add_forward_monad_depend : 0.000018s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000042s : 0.00% jit_opt_a.cse : 0.000072s : 0.00% jit_opt_a.replace_applicator : 0.000038s : 0.00% py_interpret_to_execute_after_opt_a : 0.000020s : 0.00% rewriter_after_opt_a : 0.000552s : 0.04% convert_after_rewriter : 0.000015s : 0.00% order_py_execute_after_rewriter : 0.000007s : 0.00% mutable_eliminate : 0.000776s : 0.05% jit_opt_b.frontend_op_eliminate : 0.000030s : 0.00% jit_opt_b.inline_after_opt_a : 0.000029s : 0.00% cconv : 0.000032s : 0.00% loop_unroll : 0.000442s : 0.03% jit_opt_after_cconv.c_1 : 0.000052s : 0.00% jit_opt_after_cconv.parameter_eliminate : 0.000003s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000009s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.cse : 0.000031s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000035s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000009s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000009s : 0.00% remove_dup_value : 0.000018s : 0.00% partial_unused_args_eliminate : 0.000002s : 0.00% environ_conv : 0.000025s : 0.00% add_recomputation : 0.000078s : 0.01% cse_after_recomputation.cse : 0.000017s : 0.00% auto_monad_reorder : 0.000034s : 0.00% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000147s : 0.01% opt_after_jit_grad : 0.000510s : 0.04% symbol_engine_optimizer.build : 0.000006s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000012s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000020s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000014s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000074s : 0.01% Time group info: ------[substitution.] 0.000253 45 4.66% : 0.000012s : 2: substitution.depend_value_elim 1.17% : 0.000003s : 4: substitution.elim_not_effective 0.87% : 0.000002s : 4: substitution.fold_const_symbol 7.40% : 0.000019s : 6: substitution.graph_param_transform 69.21% : 0.000175s : 3: substitution.inline 1.86% : 0.000005s : 8: substitution.j_node_and_user_rematch 2.93% : 0.000007s : 8: substitution.remove_not_recompute_node 2.82% : 0.000007s : 2: substitution.replace_old_param 4.77% : 0.000012s : 3: substitution.updatestate_pure_node_eliminater 4.33% : 0.000011s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.381466 2 98.03% : 1.354199s : 1: type_inference.infer 1.97% : 0.027267s : 1: type_inference.specialize ------[replace.] 0.000035 3 100.00% : 0.000035s : 3: replace.inline ------[match.] 0.000173 3 100.00% : 0.000173s : 3: match.inline ------[predicate.] 0.000176 970 1.44% : 0.000003s : 14: predicate.accumulaten_eliminater 1.23% : 0.000002s : 6: predicate.ad_related_special_op_eliminate 1.35% : 0.000002s : 14: predicate.addn_check_dump 1.57% : 0.000003s : 14: predicate.addn_zero_filter 2.08% : 0.000004s : 14: predicate.arithmetic_simplify 1.47% : 0.000003s : 14: predicate.cast_eliminate 0.60% : 0.000001s : 6: predicate.check_bprop_eliminate 1.13% : 0.000002s : 14: predicate.compare_switch_simplify 1.35% : 0.000002s : 14: predicate.depend_value_elim 1.11% : 0.000002s : 14: predicate.dict_get_item_const_eliminator 1.22% : 0.000002s : 14: predicate.dict_get_item_eliminator 1.26% : 0.000002s : 14: predicate.dict_set_item_eliminator 0.90% : 0.000002s : 6: predicate.dumpgradient_eliminate 0.36% : 0.000001s : 6: predicate.elim_not_effective 0.61% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 1.19% : 0.000002s : 14: predicate.environ_add_const_eliminate 1.12% : 0.000002s : 14: predicate.environ_get_add_eliminate 1.17% : 0.000002s : 14: predicate.environ_get_depend_swap 1.67% : 0.000003s : 14: predicate.environ_get_eliminate 1.36% : 0.000002s : 14: predicate.environ_get_set_eliminate 0.31% : 0.000001s : 6: predicate.fold_const_symbol 1.24% : 0.000002s : 12: predicate.get_grad_eliminate 0.39% : 0.000001s : 6: predicate.graph_param_transform 4.98% : 0.000009s : 29: predicate.inline 1.15% : 0.000002s : 12: predicate.inline_without_move 0.52% : 0.000001s : 12: predicate.j_node_and_user_rematch 1.84% : 0.000003s : 12: predicate.less_batch_normalization 1.40% : 0.000002s : 14: predicate.list_to_tuple_eliminator_ 1.91% : 0.000003s : 20: predicate.load_eliminater 1.15% : 0.000002s : 6: predicate.loop_unroll_after_grad 2.81% : 0.000005s : 30: predicate.loop_unroll_before_grad 1.93% : 0.000003s : 20: predicate.make_slice_get_slice_eliminator 1.10% : 0.000002s : 14: predicate.merge_addn 1.28% : 0.000002s : 14: predicate.minmaximum_grad 1.81% : 0.000003s : 6: predicate.mutable_eliminate 0.61% : 0.000001s : 6: predicate.opt_reshape 2.00% : 0.000004s : 20: predicate.partial_eliminate 1.29% : 0.000002s : 14: predicate.print_const_string_wrapper 2.03% : 0.000004s : 14: predicate.reduce_eliminate 1.29% : 0.000002s : 14: predicate.redundant_stop_gradient_eliminater 0.80% : 0.000001s : 12: predicate.remove_not_recompute_node 1.77% : 0.000003s : 26: predicate.replace_applicator 0.74% : 0.000001s : 12: predicate.replace_old_param 0.42% : 0.000001s : 6: predicate.reset_defer_inline 1.31% : 0.000002s : 14: predicate.reshape_eliminate 1.34% : 0.000002s : 14: predicate.row_tensor_add_zeros_like 0.87% : 0.000002s : 6: predicate.row_tensor_eliminate 1.37% : 0.000002s : 14: predicate.same_eliminate 0.67% : 0.000001s : 12: predicate.set_cell_output_no_recompute 1.25% : 0.000002s : 12: predicate.special_op_eliminate 1.25% : 0.000002s : 12: predicate.specialize_transform 1.46% : 0.000003s : 14: predicate.split_environ_get_set_with_tuple_value 1.20% : 0.000002s : 14: predicate.stack_unstack_eliminate 0.53% : 0.000001s : 6: predicate.switch_call_monad_eliminater 1.65% : 0.000003s : 17: predicate.switch_defer_inline 1.55% : 0.000003s : 17: predicate.switch_layer_defer_inline 5.69% : 0.000010s : 53: predicate.switch_simplify 1.16% : 0.000002s : 14: predicate.tile_eliminate 1.38% : 0.000002s : 14: predicate.transpose_eliminate 1.56% : 0.000003s : 14: predicate.tuple_list_convert_item_index_to_positive 1.61% : 0.000003s : 14: predicate.tuple_list_get_item_depend_reorder 3.64% : 0.000006s : 26: predicate.tuple_list_get_item_eliminator 1.69% : 0.000003s : 14: predicate.tuple_list_set_item_eliminator 1.33% : 0.000002s : 14: predicate.tuple_to_list_eliminator_ 1.82% : 0.000003s : 20: predicate.updatestate_pure_node_eliminater 3.28% : 0.000006s : 32: predicate.updatestate_useless_node_eliminater 1.96% : 0.000003s : 14: predicate.value_based_eliminate 0.52% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.97% : 0.000002s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003043 23 73.14% : 0.002226s : 18: func_graph_cloner_run.FuncGraphClonerGraph 26.86% : 0.000817s : 5: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.599277 72 0.01% : 0.000082s : 1: add_recomputation 0.01% : 0.000190s : 1: auto_monad 0.00% : 0.000036s : 1: auto_monad_reorder 0.12% : 0.001870s : 1: bootstrap 0.00% : 0.000034s : 1: cconv 0.00% : 0.000018s : 1: convert_after_rewriter 0.00% : 0.000033s : 1: cse_after_recomputation 0.00% : 0.000028s : 1: environ_conv 0.00% : 0.000024s : 1: event_method 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000010s : 1: graph_reusing 9.72% : 0.155404s : 1: jit_opt_a 0.01% : 0.000223s : 1: jit_opt_after_cconv 0.01% : 0.000084s : 1: jit_opt_b 0.03% : 0.000449s : 1: loop_unroll 0.05% : 0.000784s : 1: mutable_eliminate 0.07% : 0.001068s : 26: opt.transform.jit_opt_a 0.01% : 0.000101s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000050s : 4: opt.transform.jit_opt_b 0.00% : 0.000016s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000021s : 1: opt.transform.mutable_eliminate 0.00% : 0.000034s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000051s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000517s : 1: opt_after_jit_grad 0.00% : 0.000009s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000018s : 1: pre_auto_parallel 0.03% : 0.000415s : 1: py_interpret_to_execute 0.00% : 0.000023s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000021s : 1: remove_dup_value 3.38% : 0.054026s : 1: renormalize.infer 0.07% : 0.001040s : 1: renormalize.specialize 0.01% : 0.000151s : 1: rewriter_after_jit_bprop_graph 0.03% : 0.000558s : 1: rewriter_after_opt_a 0.01% : 0.000151s : 1: rewriter_before_opt_a 0.01% : 0.000100s : 1: symbol_engine_optimizer 86.39% : 1.381621s : 1: type_inference TotalTime = 1.43998, [30] [bootstrap]: 0.00056222 [type_inference]: 0.793786 [event_method]: 0.0003967 [auto_monad]: 0.00035336 [graph_reusing]: 1.031e-05 [pre_auto_parallel]: 4.03999e-06 [py_interpret_to_execute]: 5.281e-05 [rewriter_before_opt_a]: 0.00014869 [expand_dump_flag]: 4.25999e-06 [jit_opt_a]: 0.559784, [4] [Cycle 1]: 0.543808, [27] [switch_simplify]: 0.00023914 [loop_unroll]: 6.504e-05 [a_1]: 0.00169924 [with_stream_mark]: 4.468e-05 [recompute_prepare]: 3.674e-05 [updatestate_depend_eliminate]: 1.446e-05 [updatestate_assign_eliminate]: 1.077e-05 [updatestate_loads_eliminate]: 9.51e-06 [parameter_eliminate]: 3.44001e-06 [specialize_transform]: 2.228e-05 [updatestate_useless_node_eliminater]: 2.658e-05 [accelerated_algorithm]: 2.143e-05 [meta_shard_fg_expand]: 6.54999e-06 [get_grad_eliminate_]: 1.975e-05 [merge_forward]: 1.231e-05 [cell_reuse_recompute_pass]: 1.51002e-06 [cell_reuse_handle_not_recompute_node_pass]: 4.387e-05 [j_node_and_user_rematch]: 3.741e-05 [meta_fg_expand]: 0.278301 [replace_old_param]: 0.00012871 [inline_without_move]: 0.00015901 [renormalize]: 0.261829 [add_forward_monad_depend]: 3.674e-05 [auto_monad_grad]: 1.416e-05 [auto_monad_eliminator]: 0.00012651 [cse]: 0.00028362 [replace_applicator]: 0.00026133 [Cycle 2]: 0.00796005, [27] [switch_simplify]: 9.088e-05 [loop_unroll]: 8.464e-05 [a_1]: 0.00427289 [with_stream_mark]: 4.825e-05 [recompute_prepare]: 3.667e-05 [updatestate_depend_eliminate]: 1.333e-05 [updatestate_assign_eliminate]: 1.373e-05 [updatestate_loads_eliminate]: 1.336e-05 [parameter_eliminate]: 5.74e-06 [specialize_transform]: 2.009e-05 [updatestate_useless_node_eliminater]: 9.718e-05 [accelerated_algorithm]: 1.494e-05 [meta_shard_fg_expand]: 5.28002e-06 [get_grad_eliminate_]: 1.289e-05 [merge_forward]: 8.28999e-06 [cell_reuse_recompute_pass]: 1.25999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.056e-05 [j_node_and_user_rematch]: 2.144e-05 [meta_fg_expand]: 0.00015829 [replace_old_param]: 2.39e-05 [inline_without_move]: 1.387e-05 [renormalize]: 0.00239955 [add_forward_monad_depend]: 1.167e-05 [auto_monad_grad]: 3.23998e-06 [auto_monad_eliminator]: 6.433e-05 [cse]: 0.00014565 [replace_applicator]: 3.892e-05 [Cycle 3]: 0.0019727, [27] [switch_simplify]: 1.548e-05 [loop_unroll]: 1.359e-05 [a_1]: 0.00035762 [with_stream_mark]: 2.706e-05 [recompute_prepare]: 1.326e-05 [updatestate_depend_eliminate]: 5.964e-05 [updatestate_assign_eliminate]: 6.75002e-06 [updatestate_loads_eliminate]: 6.60002e-06 [parameter_eliminate]: 2.71e-06 [specialize_transform]: 1.322e-05 [updatestate_useless_node_eliminater]: 1.566e-05 [accelerated_algorithm]: 1.171e-05 [meta_shard_fg_expand]: 2.91e-06 [get_grad_eliminate_]: 1.051e-05 [merge_forward]: 6.79001e-06 [cell_reuse_recompute_pass]: 3.51999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.741e-05 [j_node_and_user_rematch]: 1.839e-05 [meta_fg_expand]: 4.37998e-06 [replace_old_param]: 1.662e-05 [inline_without_move]: 1.127e-05 [renormalize]: 0.00098935 [add_forward_monad_depend]: 1.016e-05 [auto_monad_grad]: 3.18e-06 [auto_monad_eliminator]: 2.872e-05 [cse]: 8.1e-05 [replace_applicator]: 2.873e-05 [Cycle 4]: 0.00069605, [27] [switch_simplify]: 1.33e-05 [loop_unroll]: 1.213e-05 [a_1]: 0.00027259 [with_stream_mark]: 2.539e-05 [recompute_prepare]: 1.304e-05 [updatestate_depend_eliminate]: 7.17002e-06 [updatestate_assign_eliminate]: 6.13002e-06 [updatestate_loads_eliminate]: 6.39001e-06 [parameter_eliminate]: 2.22001e-06 [specialize_transform]: 1.077e-05 [updatestate_useless_node_eliminater]: 1.417e-05 [accelerated_algorithm]: 1.134e-05 [meta_shard_fg_expand]: 2.76e-06 [get_grad_eliminate_]: 1.018e-05 [merge_forward]: 6.71e-06 [cell_reuse_recompute_pass]: 3.46001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.358e-05 [j_node_and_user_rematch]: 1.734e-05 [meta_fg_expand]: 3.85e-06 [replace_old_param]: 1.465e-05 [inline_without_move]: 1.174e-05 [renormalize]: 6.99947e-08 [add_forward_monad_depend]: 2.36e-06 [auto_monad_grad]: 2.84001e-06 [auto_monad_eliminator]: 1.939e-05 [cse]: 3.103e-05 [replace_applicator]: 1.199e-05 [py_interpret_to_execute_after_opt_a]: 2.339e-05 [rewriter_after_opt_a]: 0.00028083 [convert_after_rewriter]: 1.493e-05 [order_py_execute_after_rewriter]: 7.81001e-06 [mutable_eliminate]: 0.00095238 [jit_opt_b]: 0.00014583, [1] [Cycle 1]: 0.00013477, [2] [frontend_op_eliminate]: 7.418e-05 [inline_after_opt_a]: 4.006e-05 [cconv]: 4.309e-05 [loop_unroll]: 0.00060332 [jit_opt_after_cconv]: 0.0811047, [1] [Cycle 1]: 0.081091, [11] [c_1]: 7.573e-05 [parameter_eliminate]: 6.48e-06 [updatestate_depend_eliminate]: 1.499e-05 [updatestate_assign_eliminate]: 6.31998e-06 [updatestate_loads_eliminate]: 5.62001e-06 [cse]: 6.142e-05 [call_graph_tuple_transform]: 3.294e-05 [tuple_list_get_item_eliminator]: 1.192e-05 [none_parameter_eliminate]: 1.47001e-06 [renormalize]: 2.36e-06 [switch_simplify]: 5.976e-05 [remove_dup_value]: 9.404e-05 [partial_unused_args_eliminate]: 6.53e-06 [environ_conv]: 1.718e-05 [add_recomputation]: 0.00010687 [cse_after_recomputation]: 6.551e-05, [1] [Cycle 1]: 5.392e-05, [1] [cse]: 4.508e-05 [auto_monad_reorder]: 4.527e-05 [get_jit_bprop_graph]: 2.64999e-06 [rewriter_after_jit_bprop_graph]: 1.025e-05 [opt_after_jit_grad]: 0.00088299 [symbol_engine_optimizer]: 0.00012344, [1] [Cycle 1]: 0.00011514, [6] [build]: 8.47998e-06 [elim_shapecalc]: 1.538e-05 [elim_not_effective]: 3.022e-05 [opt_reshape]: 1.235e-05 [fold_const_symbol]: 1.759e-05 [renormalize]: 4.00003e-07 [validate]: 7.736e-05 Sums bootstrap : 0.000562s : 0.04% type_inference : 0.793786s : 58.69% event_method : 0.000397s : 0.03% auto_monad : 0.000353s : 0.03% graph_reusing : 0.000010s : 0.00% pre_auto_parallel : 0.000004s : 0.00% py_interpret_to_execute : 0.000053s : 0.00% rewriter_before_opt_a : 0.000149s : 0.01% expand_dump_flag : 0.000004s : 0.00% jit_opt_a.switch_simplify : 0.000359s : 0.03% jit_opt_a.loop_unroll : 0.000175s : 0.01% jit_opt_a.a_1 : 0.006602s : 0.49% jit_opt_a.with_stream_mark : 0.000145s : 0.01% jit_opt_a.recompute_prepare : 0.000100s : 0.01% jit_opt_a.updatestate_depend_eliminate : 0.000095s : 0.01% jit_opt_a.updatestate_assign_eliminate : 0.000037s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000036s : 0.00% jit_opt_a.parameter_eliminate : 0.000014s : 0.00% jit_opt_a.specialize_transform : 0.000066s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000154s : 0.01% jit_opt_a.accelerated_algorithm : 0.000059s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000018s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000053s : 0.00% jit_opt_a.merge_forward : 0.000034s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000010s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000125s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000095s : 0.01% jit_opt_a.meta_fg_expand : 0.278467s : 20.59% jit_opt_a.replace_old_param : 0.000184s : 0.01% jit_opt_a.inline_without_move : 0.000196s : 0.01% jit_opt_a.renormalize : 0.265218s : 19.61% jit_opt_a.add_forward_monad_depend : 0.000061s : 0.00% jit_opt_a.auto_monad_grad : 0.000023s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000239s : 0.02% jit_opt_a.cse : 0.000541s : 0.04% jit_opt_a.replace_applicator : 0.000341s : 0.03% py_interpret_to_execute_after_opt_a : 0.000023s : 0.00% rewriter_after_opt_a : 0.000281s : 0.02% convert_after_rewriter : 0.000015s : 0.00% order_py_execute_after_rewriter : 0.000008s : 0.00% mutable_eliminate : 0.000952s : 0.07% jit_opt_b.frontend_op_eliminate : 0.000074s : 0.01% jit_opt_b.inline_after_opt_a : 0.000040s : 0.00% cconv : 0.000043s : 0.00% loop_unroll : 0.000603s : 0.04% jit_opt_after_cconv.c_1 : 0.000076s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000015s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.cse : 0.000061s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000033s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000012s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000001s : 0.00% jit_opt_after_cconv.renormalize : 0.000002s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000060s : 0.00% remove_dup_value : 0.000094s : 0.01% partial_unused_args_eliminate : 0.000007s : 0.00% environ_conv : 0.000017s : 0.00% add_recomputation : 0.000107s : 0.01% cse_after_recomputation.cse : 0.000045s : 0.00% auto_monad_reorder : 0.000045s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000010s : 0.00% opt_after_jit_grad : 0.000883s : 0.07% symbol_engine_optimizer.build : 0.000008s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000015s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000030s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000012s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000018s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000077s : 0.01% Time group info: ------[substitution.] 0.002971 271 1.60% : 0.000047s : 12: substitution.depend_value_elim 0.12% : 0.000004s : 5: substitution.elim_not_effective 0.10% : 0.000003s : 5: substitution.fold_const_symbol 28.08% : 0.000835s : 4: substitution.getattr_setattr_resolve 0.30% : 0.000009s : 8: substitution.graph_param_transform 51.77% : 0.001538s : 29: substitution.inline 2.34% : 0.000070s : 4: substitution.inline_without_move 0.58% : 0.000017s : 29: substitution.j_node_and_user_rematch 0.70% : 0.000021s : 13: substitution.minmaximum_grad 0.57% : 0.000017s : 14: substitution.partial_eliminate 0.83% : 0.000025s : 29: substitution.remove_not_recompute_node 2.37% : 0.000070s : 16: substitution.replace_applicator 0.75% : 0.000022s : 17: substitution.replace_old_param 0.27% : 0.000008s : 2: substitution.set_cell_output_no_recompute 0.52% : 0.000015s : 3: substitution.switch_simplify 1.50% : 0.000045s : 13: substitution.tuple_list_convert_item_index_to_positive 1.07% : 0.000032s : 13: substitution.tuple_list_get_item_depend_reorder 3.37% : 0.000100s : 30: substitution.tuple_list_get_item_eliminator 1.02% : 0.000030s : 9: substitution.updatestate_pure_node_eliminater 2.14% : 0.000064s : 16: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.793653 2 99.57% : 0.790228s : 1: type_inference.infer 0.43% : 0.003424s : 1: type_inference.specialize ------[replace.] 0.000910 54 7.71% : 0.000070s : 3: replace.getattr_setattr_resolve 49.38% : 0.000449s : 29: replace.inline 7.05% : 0.000064s : 1: replace.replace_applicator 8.47% : 0.000077s : 3: replace.switch_simplify 21.63% : 0.000197s : 17: replace.tuple_list_get_item_eliminator 5.76% : 0.000052s : 1: replace.updatestate_useless_node_eliminater ------[match.] 0.002389 54 32.77% : 0.000783s : 3: match.getattr_setattr_resolve 63.52% : 0.001517s : 29: match.inline 0.70% : 0.000017s : 1: match.replace_applicator 0.56% : 0.000013s : 3: match.switch_simplify 1.83% : 0.000044s : 17: match.tuple_list_get_item_eliminator 0.62% : 0.000015s : 1: match.updatestate_useless_node_eliminater ------[predicate.] 0.001004 6056 1.46% : 0.000015s : 101: predicate.accumulaten_eliminater 0.33% : 0.000003s : 8: predicate.ad_related_special_op_eliminate 1.32% : 0.000013s : 101: predicate.addn_check_dump 1.54% : 0.000015s : 101: predicate.addn_zero_filter 2.12% : 0.000021s : 101: predicate.arithmetic_simplify 1.46% : 0.000015s : 101: predicate.cast_eliminate 0.15% : 0.000002s : 8: predicate.check_bprop_eliminate 1.39% : 0.000014s : 101: predicate.compare_switch_simplify 1.59% : 0.000016s : 101: predicate.depend_value_elim 1.35% : 0.000014s : 101: predicate.dict_get_item_const_eliminator 1.44% : 0.000014s : 101: predicate.dict_get_item_eliminator 1.45% : 0.000015s : 101: predicate.dict_set_item_eliminator 0.29% : 0.000003s : 8: predicate.dumpgradient_eliminate 0.14% : 0.000001s : 8: predicate.elim_not_effective 0.18% : 0.000002s : 8: predicate.elim_shapecalc_of_broadcastargs 1.40% : 0.000014s : 101: predicate.environ_add_const_eliminate 1.36% : 0.000014s : 101: predicate.environ_get_add_eliminate 1.38% : 0.000014s : 101: predicate.environ_get_depend_swap 1.41% : 0.000014s : 101: predicate.environ_get_eliminate 1.44% : 0.000014s : 101: predicate.environ_get_set_eliminate 0.07% : 0.000001s : 8: predicate.fold_const_symbol 0.77% : 0.000008s : 44: predicate.get_grad_eliminate 0.69% : 0.000007s : 20: predicate.getattr_setattr_resolve 0.10% : 0.000001s : 8: predicate.graph_param_transform 4.37% : 0.000044s : 163: predicate.inline 1.97% : 0.000020s : 105: predicate.inline_without_move 0.33% : 0.000003s : 44: predicate.j_node_and_user_rematch 0.96% : 0.000010s : 44: predicate.less_batch_normalization 1.75% : 0.000018s : 118: predicate.list_to_tuple_eliminator_ 1.85% : 0.000019s : 126: predicate.load_eliminater 0.48% : 0.000005s : 8: predicate.loop_unroll_after_grad 2.67% : 0.000027s : 187: predicate.loop_unroll_before_grad 1.64% : 0.000016s : 109: predicate.make_slice_get_slice_eliminator 1.35% : 0.000014s : 101: predicate.merge_addn 1.39% : 0.000014s : 101: predicate.minmaximum_grad 0.56% : 0.000006s : 8: predicate.mutable_eliminate 0.14% : 0.000001s : 8: predicate.opt_reshape 2.19% : 0.000022s : 126: predicate.partial_eliminate 1.40% : 0.000014s : 101: predicate.print_const_string_wrapper 1.79% : 0.000018s : 101: predicate.reduce_eliminate 1.74% : 0.000018s : 118: predicate.redundant_stop_gradient_eliminater 0.45% : 0.000004s : 44: predicate.remove_not_recompute_node 2.62% : 0.000026s : 243: predicate.replace_applicator 0.98% : 0.000010s : 105: predicate.replace_old_param 0.11% : 0.000001s : 8: predicate.reset_defer_inline 1.48% : 0.000015s : 101: predicate.reshape_eliminate 1.47% : 0.000015s : 101: predicate.row_tensor_add_zeros_like 0.25% : 0.000003s : 8: predicate.row_tensor_eliminate 1.59% : 0.000016s : 101: predicate.same_eliminate 0.58% : 0.000006s : 52: predicate.set_cell_output_no_recompute 0.26% : 0.000003s : 16: predicate.special_op_eliminate 0.79% : 0.000008s : 50: predicate.specialize_transform 1.71% : 0.000017s : 101: predicate.split_environ_get_set_with_tuple_value 1.46% : 0.000015s : 101: predicate.stack_unstack_eliminate 0.16% : 0.000002s : 8: predicate.switch_call_monad_eliminater 3.49% : 0.000035s : 147: predicate.switch_defer_inline 2.28% : 0.000023s : 147: predicate.switch_layer_defer_inline 6.33% : 0.000064s : 348: predicate.switch_simplify 1.40% : 0.000014s : 101: predicate.tile_eliminate 1.48% : 0.000015s : 101: predicate.transpose_eliminate 1.85% : 0.000019s : 101: predicate.tuple_list_convert_item_index_to_positive 1.67% : 0.000017s : 101: predicate.tuple_list_get_item_depend_reorder 3.38% : 0.000034s : 134: predicate.tuple_list_get_item_eliminator 1.76% : 0.000018s : 101: predicate.tuple_list_set_item_eliminator 1.81% : 0.000018s : 118: predicate.tuple_to_list_eliminator_ 1.69% : 0.000017s : 126: predicate.updatestate_pure_node_eliminater 2.80% : 0.000028s : 172: predicate.updatestate_useless_node_eliminater 1.73% : 0.000017s : 101: predicate.value_based_eliminate 0.10% : 0.000001s : 8: predicate.virtual_view_grad_eliminate 2.89% : 0.000029s : 8: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.007641 79 70.71% : 0.005403s : 42: func_graph_cloner_run.FuncGraphClonerGraph 5.52% : 0.000422s : 7: func_graph_cloner_run.FuncGraphClonerNode 23.77% : 0.001816s : 30: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.714826 104 0.01% : 0.000111s : 1: add_recomputation 0.02% : 0.000363s : 1: auto_monad 0.00% : 0.000048s : 1: auto_monad_reorder 0.03% : 0.000586s : 1: bootstrap 0.00% : 0.000046s : 1: cconv 0.00% : 0.000019s : 1: convert_after_rewriter 0.00% : 0.000068s : 1: cse_after_recomputation 0.00% : 0.000020s : 1: environ_conv 0.02% : 0.000406s : 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 32.64% : 0.559788s : 1: jit_opt_a 4.73% : 0.081113s : 1: jit_opt_after_cconv 0.01% : 0.000149s : 1: jit_opt_b 0.04% : 0.000615s : 1: loop_unroll 0.06% : 0.000966s : 1: mutable_eliminate 0.49% : 0.008417s : 52: opt.transform.jit_opt_a 0.01% : 0.000168s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000101s : 4: opt.transform.jit_opt_b 0.00% : 0.000027s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000036s : 1: opt.transform.mutable_eliminate 0.00% : 0.000049s : 1: opt.transform.opt_after_jit_grad 0.06% : 0.000971s : 2: opt.transform.opt_resolve 0.00% : 0.000071s : 4: opt.transform.symbol_engine_opt 0.05% : 0.000893s : 1: opt_after_jit_grad 0.00% : 0.000010s : 1: order_py_execute_after_rewriter 0.00% : 0.000009s : 1: partial_unused_args_eliminate 0.00% : 0.000006s : 1: pre_auto_parallel 0.00% : 0.000056s : 1: py_interpret_to_execute 0.00% : 0.000026s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000098s : 1: remove_dup_value 12.29% : 0.210816s : 3: renormalize.infer 3.17% : 0.054355s : 3: renormalize.specialize 0.00% : 0.000012s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000289s : 1: rewriter_after_opt_a 0.01% : 0.000152s : 1: rewriter_before_opt_a 0.01% : 0.000127s : 1: symbol_engine_optimizer 46.29% : 0.793810s : 1: type_inference . [hook] pytest_runtest_teardown:test_permute_std[KBK] tests/st/mint/test_permute.py::test_permute_std[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 173.06s (0:02:53) ==================