[WARNING] ME(169003:281473892982576,MainProcess):2026-01-29-17:39:19.334.909 [mindspore/graph/_mark_deprecated.py:40] Module 'mindspore.common.api' is deprecated from version 2.9.0 and will be removed in a future version, use 'mindspore.graph.api' instead. ==================================================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/optim, 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 1 item test_fused_adamw.py ...........[WARNING] ANALYZER(169003,ffffbf679f30,python3.9):2026-01-29-17:44:33.351.882 [mindspore/ccsrc/frontend/jit/ps/static_analysis/auto_monad.cc:1601] ClearIsolatedNodes] Some side effect nodes were eliminated by mistake. The node is:@2_train_step_39:_{[0]: ValueNode 136__tuple_getitem_by_number_40, [1]: CNode_41, [2]: ValueNode 1} TotalTime = 2.26101, [30] [bootstrap]: 0.00079166 [type_inference]: 1.85696 [event_method]: 0.0005945 [auto_monad]: 0.00303625 [graph_reusing]: 0.00018051 [pre_auto_parallel]: 4.787e-05 [py_interpret_to_execute]: 0.00081539 [rewriter_before_opt_a]: 0.0054385 [expand_dump_flag]: 3.762e-05 [jit_opt_a]: 0.38629, [4] [Cycle 1]: 0.285649, [27] [switch_simplify]: 0.00157179 [loop_unroll]: 0.00072452 [a_1]: 0.0643866 [with_stream_mark]: 0.00029038 [recompute_prepare]: 0.00014554 [updatestate_depend_eliminate]: 0.00078107 [updatestate_assign_eliminate]: 6.932e-05 [updatestate_loads_eliminate]: 0.00013334 [parameter_eliminate]: 5.00999e-06 [specialize_transform]: 8.931e-05 [updatestate_useless_node_eliminater]: 0.00011159 [accelerated_algorithm]: 0.00020871 [meta_shard_fg_expand]: 4.349e-05 [get_grad_eliminate_]: 7.53e-05 [merge_forward]: 4.061e-05 [cell_reuse_recompute_pass]: 1.49e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00014771 [j_node_and_user_rematch]: 0.00012823 [meta_fg_expand]: 0.0571727 [replace_old_param]: 0.00046018 [inline_without_move]: 0.0004593 [renormalize]: 0.154965 [add_forward_monad_depend]: 0.00025051 [auto_monad_grad]: 4.858e-05 [auto_monad_eliminator]: 0.00057116 [cse]: 0.00123813 [replace_applicator]: 0.00104156 [Cycle 2]: 0.0685252, [27] [switch_simplify]: 0.00044313 [loop_unroll]: 0.000417 [a_1]: 0.0116284 [with_stream_mark]: 0.00036848 [recompute_prepare]: 8.876e-05 [updatestate_depend_eliminate]: 9.245e-05 [updatestate_assign_eliminate]: 4.414e-05 [updatestate_loads_eliminate]: 0.0001307 [parameter_eliminate]: 2.89001e-06 [specialize_transform]: 7.207e-05 [updatestate_useless_node_eliminater]: 9.492e-05 [accelerated_algorithm]: 7.016e-05 [meta_shard_fg_expand]: 3.22e-05 [get_grad_eliminate_]: 6.017e-05 [merge_forward]: 3.246e-05 [cell_reuse_recompute_pass]: 2.46e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00011653 [j_node_and_user_rematch]: 0.0001008 [meta_fg_expand]: 0.00134676 [replace_old_param]: 0.00010946 [inline_without_move]: 6.395e-05 [renormalize]: 0.0522779 [add_forward_monad_depend]: 1.317e-05 [auto_monad_grad]: 2.61e-06 [auto_monad_eliminator]: 0.00021709 [cse]: 0.00024103 [replace_applicator]: 8.24e-05 [Cycle 3]: 0.019847, [27] [switch_simplify]: 5.878e-05 [loop_unroll]: 5.656e-05 [a_1]: 0.00179468 [with_stream_mark]: 5.629e-05 [recompute_prepare]: 5.652e-05 [updatestate_depend_eliminate]: 4.038e-05 [updatestate_assign_eliminate]: 3.635e-05 [updatestate_loads_eliminate]: 3.946e-05 [parameter_eliminate]: 3.20998e-06 [specialize_transform]: 5.656e-05 [updatestate_useless_node_eliminater]: 7.769e-05 [accelerated_algorithm]: 8.012e-05 [meta_shard_fg_expand]: 2.351e-05 [get_grad_eliminate_]: 5.466e-05 [merge_forward]: 3.118e-05 [cell_reuse_recompute_pass]: 2.84999e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00010541 [j_node_and_user_rematch]: 9.28e-05 [meta_fg_expand]: 2.285e-05 [replace_old_param]: 7.336e-05 [inline_without_move]: 5.454e-05 [renormalize]: 0.0162788 [add_forward_monad_depend]: 1.477e-05 [auto_monad_grad]: 3.16001e-06 [auto_monad_eliminator]: 0.0001623 [cse]: 0.00023783 [replace_applicator]: 8.52e-05 [Cycle 4]: 0.00336342, [27] [switch_simplify]: 5.544e-05 [loop_unroll]: 5.669e-05 [a_1]: 0.00174904 [with_stream_mark]: 6.067e-05 [recompute_prepare]: 6.088e-05 [updatestate_depend_eliminate]: 4.188e-05 [updatestate_assign_eliminate]: 3.497e-05 [updatestate_loads_eliminate]: 3.703e-05 [parameter_eliminate]: 2.79999e-06 [specialize_transform]: 6.058e-05 [updatestate_useless_node_eliminater]: 8.258e-05 [accelerated_algorithm]: 6.651e-05 [meta_shard_fg_expand]: 1.86e-05 [get_grad_eliminate_]: 5.531e-05 [merge_forward]: 3.107e-05 [cell_reuse_recompute_pass]: 3.49001e-06 [cell_reuse_handle_not_recompute_node_pass]: 0.00012661 [j_node_and_user_rematch]: 9.935e-05 [meta_fg_expand]: 2.601e-05 [replace_old_param]: 7.826e-05 [inline_without_move]: 5.946e-05 [renormalize]: 8.00064e-08 [add_forward_monad_depend]: 4.06001e-06 [auto_monad_grad]: 2.41998e-06 [auto_monad_eliminator]: 0.0001142 [cse]: 0.0001929 [replace_applicator]: 6.137e-05 [py_interpret_to_execute_after_opt_a]: 7.575e-05 [rewriter_after_opt_a]: 0.00040264 [convert_after_rewriter]: 5.024e-05 [order_py_execute_after_rewriter]: 2.887e-05 [mutable_eliminate]: 0.00091194 [jit_opt_b]: 0.0003529, [1] [Cycle 1]: 0.00034313, [2] [frontend_op_eliminate]: 0.00017532 [inline_after_opt_a]: 0.00015149 [cconv]: 5.675e-05 [loop_unroll]: 0.00064909 [jit_opt_after_cconv]: 0.00105328, [1] [Cycle 1]: 0.00104161, [11] [c_1]: 0.00034928 [parameter_eliminate]: 4.52e-06 [updatestate_depend_eliminate]: 4.937e-05 [updatestate_assign_eliminate]: 3.819e-05 [updatestate_loads_eliminate]: 3.731e-05 [cse]: 0.00023554 [call_graph_tuple_transform]: 0.00014366 [tuple_list_get_item_eliminator]: 5.577e-05 [none_parameter_eliminate]: 2.23002e-06 [renormalize]: 1.07e-06 [switch_simplify]: 5.44e-05 [remove_dup_value]: 0.00018019 [partial_unused_args_eliminate]: 3.27002e-06 [environ_conv]: 5.823e-05 [add_recomputation]: 0.00033826 [cse_after_recomputation]: 0.00016945, [1] [Cycle 1]: 0.00016067, [1] [cse]: 0.00014777 [auto_monad_reorder]: 0.00017836 [get_jit_bprop_graph]: 2.76999e-06 [rewriter_after_jit_bprop_graph]: 0.00037333 [opt_after_jit_grad]: 0.00081934 [symbol_engine_optimizer]: 0.00039083, [1] [Cycle 1]: 0.00038237, [6] [build]: 3.496e-05 [elim_shapecalc]: 6.327e-05 [elim_not_effective]: 9.72e-05 [opt_reshape]: 6.011e-05 [fold_const_symbol]: 9.101e-05 [renormalize]: 7.7e-07 [validate]: 0.00023295 Sums bootstrap : 0.000792s : 0.04% type_inference : 1.856964s : 82.53% event_method : 0.000595s : 0.03% auto_monad : 0.003036s : 0.13% graph_reusing : 0.000181s : 0.01% pre_auto_parallel : 0.000048s : 0.00% py_interpret_to_execute : 0.000815s : 0.04% rewriter_before_opt_a : 0.005438s : 0.24% expand_dump_flag : 0.000038s : 0.00% jit_opt_a.switch_simplify : 0.002129s : 0.09% jit_opt_a.loop_unroll : 0.001255s : 0.06% jit_opt_a.a_1 : 0.079559s : 3.54% jit_opt_a.with_stream_mark : 0.000776s : 0.03% jit_opt_a.recompute_prepare : 0.000352s : 0.02% jit_opt_a.updatestate_depend_eliminate : 0.000956s : 0.04% jit_opt_a.updatestate_assign_eliminate : 0.000185s : 0.01% jit_opt_a.updatestate_loads_eliminate : 0.000341s : 0.02% jit_opt_a.parameter_eliminate : 0.000014s : 0.00% jit_opt_a.specialize_transform : 0.000279s : 0.01% jit_opt_a.updatestate_useless_node_eliminater : 0.000367s : 0.02% jit_opt_a.accelerated_algorithm : 0.000426s : 0.02% jit_opt_a.meta_shard_fg_expand : 0.000118s : 0.01% jit_opt_a.get_grad_eliminate_ : 0.000245s : 0.01% jit_opt_a.merge_forward : 0.000135s : 0.01% jit_opt_a.cell_reuse_recompute_pass : 0.000010s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000496s : 0.02% jit_opt_a.j_node_and_user_rematch : 0.000421s : 0.02% jit_opt_a.meta_fg_expand : 0.058568s : 2.60% jit_opt_a.replace_old_param : 0.000721s : 0.03% jit_opt_a.inline_without_move : 0.000637s : 0.03% jit_opt_a.renormalize : 0.223522s : 9.93% jit_opt_a.add_forward_monad_depend : 0.000283s : 0.01% jit_opt_a.auto_monad_grad : 0.000057s : 0.00% jit_opt_a.auto_monad_eliminator : 0.001065s : 0.05% jit_opt_a.cse : 0.001910s : 0.08% jit_opt_a.replace_applicator : 0.001271s : 0.06% py_interpret_to_execute_after_opt_a : 0.000076s : 0.00% rewriter_after_opt_a : 0.000403s : 0.02% convert_after_rewriter : 0.000050s : 0.00% order_py_execute_after_rewriter : 0.000029s : 0.00% mutable_eliminate : 0.000912s : 0.04% jit_opt_b.frontend_op_eliminate : 0.000175s : 0.01% jit_opt_b.inline_after_opt_a : 0.000151s : 0.01% cconv : 0.000057s : 0.00% loop_unroll : 0.000649s : 0.03% jit_opt_after_cconv.c_1 : 0.000349s : 0.02% jit_opt_after_cconv.parameter_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000049s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000038s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000037s : 0.00% jit_opt_after_cconv.cse : 0.000236s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000144s : 0.01% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000056s : 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 : 0.000054s : 0.00% remove_dup_value : 0.000180s : 0.01% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000058s : 0.00% add_recomputation : 0.000338s : 0.02% cse_after_recomputation.cse : 0.000148s : 0.01% auto_monad_reorder : 0.000178s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000373s : 0.02% opt_after_jit_grad : 0.000819s : 0.04% symbol_engine_optimizer.build : 0.000035s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000063s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000097s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000060s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000091s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000233s : 0.01% Time group info: ------[substitution.] 0.040052 1840 0.28% : 0.000114s : 6: substitution.arithmetic_simplify 0.09% : 0.000037s : 4: substitution.cast_eliminate 0.37% : 0.000147s : 63: substitution.depend_value_elim 0.03% : 0.000013s : 35: substitution.elim_not_effective 0.04% : 0.000016s : 6: substitution.environ_get_add_eliminate 0.03% : 0.000011s : 4: substitution.environ_get_depend_swap 0.03% : 0.000013s : 6: substitution.environ_get_eliminate 0.07% : 0.000027s : 6: substitution.environ_get_set_eliminate 0.03% : 0.000012s : 35: substitution.fold_const_symbol 4.14% : 0.001657s : 8: substitution.getattr_setattr_resolve 0.09% : 0.000035s : 51: substitution.graph_param_transform 87.63% : 0.035097s : 162: substitution.inline 0.26% : 0.000104s : 14: substitution.inline_without_move 0.17% : 0.000067s : 158: substitution.j_node_and_user_rematch 0.29% : 0.000118s : 15: substitution.less_batch_normalization 0.10% : 0.000041s : 44: substitution.load_eliminater 0.37% : 0.000146s : 99: substitution.minmaximum_grad 0.00% : 0.000002s : 3: substitution.opt_reshape 0.10% : 0.000040s : 14: substitution.partial_eliminate 0.07% : 0.000028s : 6: substitution.reduce_eliminate 0.02% : 0.000008s : 5: substitution.redundant_stop_gradient_eliminater 0.24% : 0.000097s : 158: substitution.remove_not_recompute_node 0.54% : 0.000217s : 63: substitution.replace_applicator 0.16% : 0.000064s : 90: substitution.replace_old_param 0.18% : 0.000073s : 15: substitution.reshape_eliminate 0.01% : 0.000004s : 1: substitution.set_cell_output_no_recompute 0.02% : 0.000009s : 5: substitution.split_environ_get_set_with_tuple_value 0.20% : 0.000078s : 29: substitution.switch_simplify 0.02% : 0.000008s : 1: substitution.tile_eliminate 0.73% : 0.000293s : 107: substitution.tuple_list_convert_item_index_to_positive 0.90% : 0.000359s : 118: substitution.tuple_list_get_item_depend_reorder 1.36% : 0.000543s : 199: substitution.tuple_list_get_item_eliminator 0.48% : 0.000191s : 139: substitution.updatestate_pure_node_eliminater 0.96% : 0.000385s : 171: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.835749 2 95.61% : 1.755167s : 1: type_inference.infer 4.39% : 0.080582s : 1: type_inference.specialize ------[replace.] 0.004107 311 0.30% : 0.000012s : 1: replace.arithmetic_simplify 0.94% : 0.000039s : 4: replace.cast_eliminate 1.70% : 0.000070s : 8: replace.depend_value_elim 0.82% : 0.000034s : 2: replace.environ_get_set_eliminate 3.44% : 0.000141s : 6: replace.getattr_setattr_resolve 45.94% : 0.001887s : 162: replace.inline 0.93% : 0.000038s : 2: replace.partial_eliminate 2.68% : 0.000110s : 3: replace.replace_applicator 11.01% : 0.000452s : 29: replace.switch_simplify 3.82% : 0.000157s : 11: replace.tuple_list_get_item_depend_reorder 27.81% : 0.001142s : 81: replace.tuple_list_get_item_eliminator 0.60% : 0.000025s : 2: replace.updatestate_useless_node_eliminater ------[match.] 0.037163 311 0.15% : 0.000056s : 1: match.arithmetic_simplify 0.09% : 0.000034s : 4: match.cast_eliminate 0.03% : 0.000010s : 8: match.depend_value_elim 0.05% : 0.000017s : 2: match.environ_get_set_eliminate 4.20% : 0.001562s : 6: match.getattr_setattr_resolve 94.11% : 0.034975s : 162: match.inline 0.05% : 0.000019s : 2: match.partial_eliminate 0.10% : 0.000037s : 3: match.replace_applicator 0.16% : 0.000061s : 29: match.switch_simplify 0.41% : 0.000151s : 11: match.tuple_list_get_item_depend_reorder 0.60% : 0.000223s : 81: match.tuple_list_get_item_eliminator 0.05% : 0.000017s : 2: match.updatestate_useless_node_eliminater ------[predicate.] 0.006334 39822 1.56% : 0.000099s : 699: predicate.accumulaten_eliminater 0.20% : 0.000013s : 51: predicate.ad_related_special_op_eliminate 1.51% : 0.000095s : 699: predicate.addn_check_dump 1.70% : 0.000108s : 699: predicate.addn_zero_filter 2.29% : 0.000145s : 700: predicate.arithmetic_simplify 1.62% : 0.000102s : 704: predicate.cast_eliminate 0.12% : 0.000007s : 51: predicate.check_bprop_eliminate 1.59% : 0.000100s : 699: predicate.compare_switch_simplify 1.63% : 0.000103s : 699: predicate.depend_value_elim 1.51% : 0.000096s : 706: predicate.dict_get_item_const_eliminator 1.57% : 0.000100s : 706: predicate.dict_get_item_eliminator 1.53% : 0.000097s : 706: predicate.dict_set_item_eliminator 0.14% : 0.000009s : 51: predicate.dumpgradient_eliminate 0.07% : 0.000004s : 51: predicate.elim_not_effective 0.13% : 0.000008s : 51: predicate.elim_shapecalc_of_broadcastargs 1.57% : 0.000100s : 704: predicate.environ_add_const_eliminate 1.54% : 0.000098s : 706: predicate.environ_get_add_eliminate 1.58% : 0.000100s : 704: predicate.environ_get_depend_swap 1.61% : 0.000102s : 706: predicate.environ_get_eliminate 1.54% : 0.000097s : 706: predicate.environ_get_set_eliminate 0.06% : 0.000004s : 51: predicate.fold_const_symbol 0.55% : 0.000035s : 228: predicate.get_grad_eliminate 0.23% : 0.000015s : 40: predicate.getattr_setattr_resolve 0.06% : 0.000004s : 51: predicate.graph_param_transform 4.01% : 0.000254s : 1066: predicate.inline 1.37% : 0.000087s : 468: predicate.inline_without_move 0.27% : 0.000017s : 228: predicate.j_node_and_user_rematch 0.67% : 0.000043s : 244: predicate.less_batch_normalization 1.83% : 0.000116s : 798: predicate.list_to_tuple_eliminator_ 1.98% : 0.000125s : 851: predicate.load_eliminater 0.22% : 0.000014s : 51: predicate.loop_unroll_after_grad 3.84% : 0.000243s : 1190: predicate.loop_unroll_before_grad 1.75% : 0.000111s : 768: predicate.make_slice_get_slice_eliminator 1.52% : 0.000096s : 699: predicate.merge_addn 1.59% : 0.000101s : 700: predicate.minmaximum_grad 0.25% : 0.000016s : 51: predicate.mutable_eliminate 0.12% : 0.000008s : 51: predicate.opt_reshape 2.25% : 0.000143s : 851: predicate.partial_eliminate 1.51% : 0.000096s : 691: predicate.print_const_string_wrapper 2.02% : 0.000128s : 700: predicate.reduce_eliminate 1.85% : 0.000117s : 800: predicate.redundant_stop_gradient_eliminater 0.27% : 0.000017s : 228: predicate.remove_not_recompute_node 2.16% : 0.000137s : 1369: predicate.replace_applicator 0.60% : 0.000038s : 468: predicate.replace_old_param 0.07% : 0.000004s : 51: predicate.reset_defer_inline 1.62% : 0.000102s : 700: predicate.reshape_eliminate 1.63% : 0.000103s : 691: predicate.row_tensor_add_zeros_like 0.14% : 0.000009s : 51: predicate.row_tensor_eliminate 1.55% : 0.000098s : 691: predicate.same_eliminate 0.38% : 0.000024s : 281: predicate.set_cell_output_no_recompute 0.25% : 0.000016s : 102: predicate.special_op_eliminate 0.60% : 0.000038s : 228: predicate.specialize_transform 1.87% : 0.000118s : 691: predicate.split_environ_get_set_with_tuple_value 1.54% : 0.000097s : 691: predicate.stack_unstack_eliminate 0.13% : 0.000008s : 51: predicate.switch_call_monad_eliminater 3.76% : 0.000238s : 964: predicate.switch_defer_inline 2.43% : 0.000154s : 964: predicate.switch_layer_defer_inline 6.63% : 0.000420s : 2263: predicate.switch_simplify 1.59% : 0.000101s : 700: predicate.tile_eliminate 1.58% : 0.000100s : 700: predicate.transpose_eliminate 2.09% : 0.000132s : 706: predicate.tuple_list_convert_item_index_to_positive 2.06% : 0.000130s : 717: predicate.tuple_list_get_item_depend_reorder 3.00% : 0.000190s : 900: predicate.tuple_list_get_item_eliminator 2.10% : 0.000133s : 717: predicate.tuple_list_set_item_eliminator 1.81% : 0.000115s : 798: predicate.tuple_to_list_eliminator_ 2.06% : 0.000131s : 851: predicate.updatestate_pure_node_eliminater 2.86% : 0.000181s : 1081: predicate.updatestate_useless_node_eliminater 2.00% : 0.000127s : 691: predicate.value_based_eliminate 0.11% : 0.000007s : 51: predicate.virtual_view_grad_eliminate 0.16% : 0.000010s : 51: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.079528 477 71.93% : 0.057205s : 278: func_graph_cloner_run.FuncGraphClonerGraph 0.22% : 0.000178s : 3: func_graph_cloner_run.FuncGraphClonerNode 27.85% : 0.022145s : 196: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 2.575358 106 0.01% : 0.000344s : 1: add_recomputation 0.12% : 0.003053s : 1: auto_monad 0.01% : 0.000183s : 1: auto_monad_reorder 0.03% : 0.000850s : 1: bootstrap 0.00% : 0.000060s : 1: cconv 0.00% : 0.000055s : 1: convert_after_rewriter 0.01% : 0.000173s : 1: cse_after_recomputation 0.00% : 0.000061s : 1: environ_conv 0.02% : 0.000608s : 1: event_method 0.00% : 0.000043s : 1: expand_dump_flag 0.00% : 0.000006s : 1: get_jit_bprop_graph 0.01% : 0.000189s : 1: graph_reusing 15.00% : 0.386295s : 1: jit_opt_a 0.04% : 0.001057s : 1: jit_opt_after_cconv 0.01% : 0.000357s : 1: jit_opt_b 0.03% : 0.000659s : 1: loop_unroll 0.04% : 0.000923s : 1: mutable_eliminate 3.41% : 0.087831s : 52: opt.transform.jit_opt_a 0.02% : 0.000597s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000318s : 4: opt.transform.jit_opt_b 0.00% : 0.000078s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000085s : 1: opt.transform.mutable_eliminate 0.01% : 0.000187s : 1: opt.transform.opt_after_jit_grad 0.08% : 0.001941s : 4: opt.transform.opt_resolve 0.01% : 0.000307s : 4: opt.transform.symbol_engine_opt 0.03% : 0.000828s : 1: opt_after_jit_grad 0.00% : 0.000031s : 1: order_py_execute_after_rewriter 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000051s : 1: pre_auto_parallel 0.03% : 0.000824s : 1: py_interpret_to_execute 0.00% : 0.000079s : 1: py_interpret_to_execute_after_opt_a 0.01% : 0.000185s : 1: remove_dup_value 6.13% : 0.157807s : 3: renormalize.infer 2.55% : 0.065652s : 3: renormalize.specialize 0.01% : 0.000378s : 1: rewriter_after_jit_bprop_graph 0.02% : 0.000409s : 1: rewriter_after_opt_a 0.21% : 0.005458s : 1: rewriter_before_opt_a 0.02% : 0.000394s : 1: symbol_engine_optimizer 72.11% : 1.856996s : 1: type_inference .. [hook] pytest_runtest_teardown:test_mint_optim_fused_adamw_float32_8d tests/st/mint/optim/test_fused_adamw.py::test_mint_optim_fused_adamw_float32_8d,max_mem:96.0M =============================== 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") test_fused_adamw.py::test_mint_optim_fused_adamw_float32_8d /usr/local/Ascend/cann-8.5.0/python/site-packages/asc_op_compile_base/asc_op_compiler/ascendc_compile_gen_code.py:161: DeprecationWarning: invalid escape sequence \w match = re.search(f'{option}=(\w+)', ' '.join(compile_options)) -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 1 passed, 26 warnings in 476.10s (0:07:56) ==================